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National Water-Quality Assessment Program Prioritizing Pesticide Compounds for Analytical Methods Development Scientific Investigations Report 2012–5045 U.S. Department of the Interior U.S. Geological Survey

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Page 1: Prioritizing Pesticide Compounds for Analytical Methods

National Water-Quality Assessment Program

Prioritizing Pesticide Compounds for Analytical Methods Development

Scientific Investigations Report 2012–5045

U.S. Department of the InteriorU.S. Geological Survey

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Prioritizing Pesticide Compounds for Analytical Methods Development

By Julia E. Norman, Kathryn M. Kuivila, and Lisa H. Nowell

National Water-Quality Assessment Program

Scientific Investigations Report 2012–5045

U.S. Department of the InteriorU.S. Geological Survey

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U.S. Department of the InteriorKEN SALAZAR, Secretary

U.S. Geological SurveyMarcia K. McNutt, Director

U.S. Geological Survey, Reston, Virginia: 2012

For more information on the USGS—the Federal source for science about the Earth, its natural and living resources, natural hazards, and the environment, visit http://www.usgs.gov or call 1–888–ASK–USGS.

For an overview of USGS information products, including maps, imagery, and publications, visit http://www.usgs.gov/pubprod

To order this and other USGS information products, visit http://store.usgs.gov

Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Although this report is in the public domain, permission must be secured from the individual copyright owners to reproduce any copyrighted materials contained within this report.

Suggested citation:Norman, J.E., Kuivila, K.M., and Nowell, L.H., 2012, Prioritizing pesticide compounds for analytical methods development: U.S. Geological Survey Scientific Investigations Report 2012–5045, 206 p.

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FOREWORD

The U.S. Geological Survey (USGS) is committed to providing the Nation with reliable scientific information that helps to enhance and protect the overall quality of life and that facilitates effective management of water, biological, energy, and mineral resources (http://www.usgs.gov/). Information on the Nation’s water resources is critical to ensuring long-term availability of water that is safe for drinking and recreation and is suitable for industry, irrigation, and fish and wildlife. Population growth and increasing demands for water make the availability of that water, measured in terms of quantity and quality, even more essential to the long-term sustainability of our communities and ecosystems.

The USGS implemented the National Water-Quality Assessment (NAWQA) Program in 1991 to support national, regional, State, and local information needs and decisions related to water-quality manage-ment and policy (http://water.usgs.gov/nawqa). The NAWQA Program is designed to answer: What is the quality of our Nation’s streams and groundwater? How are conditions changing over time? How do natural features and human activities affect the quality of streams and groundwater, and where are those effects most pronounced? By combining information on water chemistry, physical characteristics, stream habitat, and aquatic life, the NAWQA Program aims to provide science-based insights for current and emerging water issues and priorities. From 1991 to 2001, the NAWQA Program completed interdisciplinary assess-ments and established a baseline understanding of water-quality conditions in 51 of the Nation’s river basins and aquifers, referred to as Study Units (http://water.usgs.gov/nawqa/studies/study_units.html ).

National and regional assessments are ongoing in the second decade (2001–2012) of the NAWQA Program as 42 of the 51 Study Units are selectively reassessed. These assessments extend the findings in the Study Units by determining water-quality status and trends at sites that have been consistently monitored for more than a decade, and filling critical gaps in characterizing the quality of surface water and ground-water. For example, increased emphasis has been placed on assessing the quality of source water and finished water associated with many of the Nation’s largest community water systems. During the second decade, NAWQA is addressing five national priority topics that build an understanding of how natural fea-tures and human activities affect water quality, and establish links between sources of contaminants, the transport of those contaminants through the hydrologic system, and the potential effects of contaminants on humans and aquatic ecosystems. Included are studies on the fate of agricultural chemicals, effects of urbanization on stream ecosystems, bioaccumulation of mercury in stream ecosystems, effects of nutrient enrichment on aquatic ecosystems, and transport of contaminants to public-supply wells. In addition, national syntheses of information on pesticides, volatile organic compounds (VOCs), nutrients, trace ele-ments, and aquatic ecology are continuing.

The USGS aims to disseminate credible, timely, and relevant science information to address practical and effective water-resource management and strategies that protect and restore water quality. We hope this NAWQA publication will provide you with insights and information to meet your needs, and will foster increased citizen awareness and involvement in the protection and restoration of our Nation’s waters.

The USGS recognizes that a national assessment by a single program cannot address all water-resource issues of interest. External coordination at all levels is critical for cost-effective management, regulation, and conservation of our Nation’s water resources. The NAWQA Program, therefore, depends on advice and information from other agencies—Federal, State, regional, interstate, Tribal, and local—as well as nongovernmental organizations, industry, academia, and other stakeholder groups. Your assistance and suggestions are greatly appreciated.

William H. WerkheiserUSGS Associate Director for Water

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Contents

Abstract ...........................................................................................................................................................1Introduction.....................................................................................................................................................2

Background............................................................................................................................................2Other Chemical Prioritization Approaches .......................................................................................2

Purpose and Scope ......................................................................................................................................4Water ....................................................................................................................................................4Sediment.................................................................................................................................................4

Methods...........................................................................................................................................................4Data Types and Sources ......................................................................................................................5

Physical-Chemical Properties ...................................................................................................5Pesticide-Use Data ......................................................................................................................5Aquatic-Life Benchmarks and Toxicity Information for Water ............................................6Sediment Benchmarks and Toxicity Information ....................................................................6Human-Health Benchmarks .......................................................................................................6

The Tiering Process ..............................................................................................................................7Water ...........................................................................................................................................7

Surface Water .....................................................................................................................8Measured Concentrations in Streams ...................................................................8Predicted Concentrations in Streams ..................................................................10Detection Frequency in Streams ...........................................................................10

Groundwater ......................................................................................................................10Measured Concentrations in Groundwater ........................................................11Predicted Concentrations in Groundwater .........................................................11Detection Frequency in Groundwater ..................................................................12

Other Factors .....................................................................................................................12Pesticide Degradates .......................................................................................................12

Sediment......................................................................................................................................12Measured Sediment Occurrence .................................................................................13Predicted Likelihood of Occurrence in Sediment .......................................................15Aquatic Toxicity .................................................................................................................15Pesticide Use and Additional Screening Criteria ........................................................15Other Factors .....................................................................................................................16Pesticide Degradates .......................................................................................................16

Results and Discussion ...............................................................................................................................16Water ..................................................................................................................................................16

Priority Pesticide Compounds for Water ...............................................................................16Basis for High Priority for Pesticide Compounds in Water .................................................34Other Important Compounds for Water–Tier 2 ......................................................................48

Sediment...............................................................................................................................................51Priority Pesticide Compounds for Sediment .........................................................................51Basis for High Priority of Pesticide Compounds in Sediment ............................................51Other Important Compounds for Sediment–Tier 2 ................................................................60

Comparison of Tier 1 Compounds for Both Water and Sediment ...............................................66

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Summary and Conclusions .........................................................................................................................70Acknowledgments ......................................................................................................................................72References Cited..........................................................................................................................................72Appendix 1. Physical-Chemical Properties Used in the Evaluation of Pesticide

Compounds for Analytical Methods Development for Water and Sediment ....................75References Cited, Appendix 1 ..........................................................................................................76

Appendix 2. Persistence Score Methodology .....................................................................................77References Cited, Appendix 2 ..........................................................................................................78

Appendix 3. Aquatic-Life and Human-Health Benchmarks Used in the Evaluation of Pesticides for Water .....................................................................................................................79

References Cited, Appendix 3 ........................................................................................................114Appendix 4. Aquatic-Life Benchmarks or Toxicity Values With Resulting Aquatic-Life

Toxicity Bins and Available Sediment Benchmarks Used in the Evaluation of Pesticides for Sediment ..............................................................................................................115

References Cited, Appendix 4 ........................................................................................................166Appendix 5. Concentration Statistics for 83 Pesticide Compounds Sampled in Agricultural

and Urban Land-Use Streams Over a 1-Year Period from the National Water-Quality Assessment (NAWQA) Program Monitoring Studies, 1993–2000 .......................................167

Reference Cited, Appendix 5 ..........................................................................................................172Appendix 6. Summary of the Multi-Compound Watershed Regressions for Pesticides

(WARP) Model Methodology .....................................................................................................173References Cited, Appendix 6 .........................................................................................................176

Appendix 7. Detection Frequencies in Agricultural and Urban Streams and Groundwater from the National Water-Quality Assessment (NAWQA) Program Monitoring Studies, 1993–2006 .......................................................................................................................177

Appendix 8. Concentration Statistics for 83 Pesticide Compounds Sampled in Agricultural, Urban, and Mixed Land-Use Groundwater Networks from the National Water-Quality Assessment (NAWQA) Program Monitoring Studies, 1993–2003 ..............188

Reference Cited, Appendix 8 ..........................................................................................................192Appendix 9. Summary of the Groundwater Regression for Pesticides Model Methodology ....193

Background........................................................................................................................................194Model Development .........................................................................................................................194References Cited, Appendix 9 ........................................................................................................196

Appendix 10. Summary of Occurrence of Pesticide Compounds in Bed Sediment from Agricultural, Urban, and Mixed Land-Use Streams Sampled by the National Water-Quality Assessment (NAWQA) Program, 1992–2001 ..................................................198

Appendix 11. Summary of Occurrence of Pesticide Compounds in Lake Core Sediment from Urban and Reference Lakes Sampled Across the United States by the National Water-Quality Assessment (NAWQA) Program, 1992–2001 ..................................................201

Appendix 12. Summary of Occurrence of Legacy and Current-Use Pesticide Compounds in Stream Bed and Suspended Sediment from Agricultural and Urban Streams Sampled by the Toxics Program, 2001–08 ................................................................................203

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Figures 1. National Research Council framework for evaluating chemical ranking schemes ..........3 2. Flow chart for the evaluation of pesticides and degradates in surface water and

groundwater ..................................................................................................................................9 3. Flow chart for the evaluation of pesticides and degradates in sediment .........................13 4. Chart showing breakdown of Tier 1 pesticide compounds for water by reason for

high priority ..................................................................................................................................34 5. Graphs showing detection-frequency distributions for surface-water and

groundwater pesticide datasets ..............................................................................................49 6. Chart showing distribution of Tier 1 pesticide compounds for water among

pesticide-use groups .................................................................................................................50 7. Chart showing breakdown of Tier 1 pesticide compounds for water by chemical

class ..............................................................................................................................................50 8. Chart showing breakdown of Tier 1 pesticide compounds for sediment by reason

for high priority ............................................................................................................................60 9. Chart showing distribution of Tier 1 pesticide compounds for sediment among

pesticide-use groups .................................................................................................................65 10. Chart showing breakdown of Tier 1 pesticide compounds for sediment by

chemical class ............................................................................................................................66

Tables 1. Thresholds for Aquatic-Life Toxicity Bins for pesticides in sediment .................................7 2. Description of screening pathways for sediment .................................................................14 3. Physical-chemical properties and thresholds used to predict likelihood for

occurrence in sediments ...........................................................................................................15 4. Tier 1 and selected Tier 2 pesticides and degradates in water, and reasons for tier

placement ....................................................................................................................................17 5. Benchmark quotients and detection frequencies for surface water and

groundwater for Tier 1 pesticides and degradates in water ...............................................35 6. Counts summarizing the number of compounds that meet the criteria for Tier 1 for

water .............................................................................................................................................48 7. Tier 1 pesticides and degradates in sediment with pathways for tier placement ...........52 8. Detection-frequency data for pesticide compounds in sediment from three U.S.

Geological Survey (USGS) datasets ........................................................................................61 9. Example of modifying thresholds for three prioritization criteria for sediment ...............65 10. Summary of parent pesticide compounds co-listed in Tier 1 for water and

sediment .......................................................................................................................................67

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Appendix Tables 1–1. Physical-chemical property values and sources used for prioritization of

pesticide compounds in water and sediment .......................................... excel spreadsheet 2–1. Thresholds for determining the persistence score...............................................................78 3–1. Aquatic-life and human-health benchmarks used in the evaluation of pesticides

for water .......................................................................................................................................80 4–1. Aquatic-life benchmarks or toxicity values with resulting Aquatic-Life Toxicity Bins

and available sediment benchmarks used in the evaluation of pesticides for sediment .....................................................................................................................................116

5–1. Concentration statistics for 83 pesticide compounds sampled in agricultural and urban land-use streams over a 1-year period from the National Water-Quality Assessment (NAWQA) Program Monitoring Studies, 1993–2000 .....................................168

6–1. Coefficients for variables in the annual mean and 95th percentile Watershed Regressions for Pesticides (WARP) models ........................................................................174

6–2. Pesticides used in estimating the adjustment factor coefficients for the adjusted atrazine Watershed Regressions for Pesticides (WARP) model ......................................175

7–1. Detection frequencies in agricultural and urban surface water and groundwater from the National Water-Quality Assessment (NAWQA) Program Monitoring Studies, 1993–2006 ...............................................................................................178

8–1. Concentration statistics for 83 pesticide compounds sampled in agricultural, urban, and mixed land-use groundwater networks from the National Water-Quality Assessment (NAWQA) Program Monitoring Studies, 1993–2003 ...........189

9–1. Statistics for Tobit regression model .....................................................................................196 10–1. Summary of occurrence of pesticide compounds in bed sediment from

agricultural, urban, and mixed land-use streams sampled by the National Water-Quality Assessment (NAWQA) Program, 1992–2001 ..............................................199

11–1. Summary of occurrence of pesticide compounds in lake core sediment from urban and reference lakes sampled across the United States by the National Water-Quality Assessment (NAWQA) Program, 1992–2001 ..............................................202

12–1. Summary of occurrence of legacy and current-use pesticide compounds in stream bed and suspended sediment from agricultural and urban streams sampled by the U.S. Geological Survey Toxics Program, 2001–08 ...................................204

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Conversion Factors

Multiply By To obtain

Length

meter (m) 3.281 foot (ft) kilometer (km) 0.6214 mile (mi)meter (m) 1.094 yard (yd)

Area

square kilometer (km2) 0.3861 square mile (mi2)Volume

liter (L) 33.82 ounce, fluid (fl. oz)liter (L) 0.2642 gallon (gal)milliliter (mL) 0.0002642 gallon (gal)

Mass

gram (g) 0.03527 ounce, avoirdupois (oz)kilogram (kg) 2.205 pound avoirdupois (lb)

Pressure

kilopascal (kPa) 0.009869 atmosphere, standard (atm)kilopascal (kPa) 0.2961 inch of mercury at 60°F (in Hg)

Temperature in degrees Celsius (°C) may be converted to degrees Fahrenheit (°F) as follows:

°F=(1.8×°C)+32

Concentrations of chemical constituents in water are given in micrograms per liter (μg/L).

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Acronyms and Abbreviations

AAPCO Association of American Pesticide Control Officials

AIC Akaike Information Criterion

AL Aquatic-life

BQ Benchmark quotient

CAS Chemical Abstract Service (American Chemical Society)

CCL Contaminant Candidate List

CCL3 Third Contaminant Candidate List (USEPA)

DEA Deethylatrazine, an atrazine degradate

DEG Degradate of Parent Pesticide (Numbers after acronym denote Tier of parent pesticide)

EC50 50-percent effective concentration

ECOSAR Ecological Structure Activity Relationships (ECOSAR) Class Program (part of EPI Suite, USEPA)

ECOTOX ECOTOXicology database (USEPA)

EPI Suite™ Estimation Programs Interface Suite (USEPA)

FIFRA Federal Insecticide, Fungicide, and Rodenticide Act

GfK GfK Kynetec

GLWQA Great Lakes Water Quality Agreement

HBSL Health-based screening level (USGS)

HPV High-production volume or high-production-volume chemical

Koc Soil organic carbon-water partitioning coefficient

LC50 50-percent lethal concentration

LOC Level of Concern

log Kow Base-10 logarithm of the octanol-water partition coefficient

LT-MDL Long term-method detection level

MAC Maximum acceptable concentration (Health Canada)

MCL Maximum contaminant level (USEPA)

NAWQA National Water-Quality Assessment (USGS)

NDWAC National Drinking Water Advisory Council

NIA No information available

NRC National Research Council

NRWQC National Recommended Water-Quality Criteria, Office of Water (USEPA)

OF Other Factors

OPP Office of Pesticide Programs (USEPA)

p Probablity

PBT Persistent, bioaccumulative, and toxic

PEC Probable effect concentration

PEL Probable effect level

pHBSL Provisional Health-based screening level (USGS)

POPs Persistent Organic Pollutants

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PPDB Pesticide Properties Database (University of Hertfordshire, UK)

pR2 pseudo-R 2

R2 coefficient of determination

RED Reregistration Eligibility Decision, OPP (USEPA)

SDWA Safe Drinking Water Act

SFIREG State FIFRA Issues Research and Evaluation Group

SRC Syracuse Research Corporation

SWMI Surface Water Mobility Index

TEC Threshold effect concentration

Toxics Program Toxic Substances Hydrology Program (USGS)

UCMR Unregulated Contaminant Monitoring Regulation (USEPA)

U.S. United States

USEPA U.S. Environmental Protection Agency

USLE Universal Soil Loss Equation

USM Ultimate Survey Model

USGS U.S. Geological Survey

WARP Watershed Regressions for Pesticides

WMPT Waste Minimization Prioritization Tool

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AbstractThe U.S. Geological Survey (USGS) has a periodic need

to re-evaluate pesticide compounds in terms of priorities for inclusion in monitoring and studies and, thus, must also assess the current analytical capabilities for pesticide detection. To meet this need, a strategy has been developed to prioritize pesticides and degradates for analytical methods development. Screening procedures were developed to separately prioritize pesticide compounds in water and sediment. The procedures evaluate pesticide compounds in existing USGS analytical methods for water and sediment and compounds for which recent agricultural-use information was available. Measured occurrence (detection frequency and concentrations) in water and sediment, predicted concentrations in water and predicted likelihood of occurrence in sediment, potential toxicity to aquatic life or humans, and priorities of other agencies or organizations, regulatory or otherwise, were considered.

Several existing strategies for prioritizing chemicals for various purposes were reviewed, including those that identify and prioritize persistent, bioaccumulative, and toxic compounds, and those that determine candidates for future regulation of drinking-water contaminants. The systematic procedures developed and used in this study rely on concepts common to many previously established strategies. The evalu-ation of pesticide compounds resulted in the classification of compounds into three groups: Tier 1 for high priority com-pounds, Tier 2 for moderate priority compounds, and Tier 3 for low priority compounds.

For water, a total of 247 pesticide compounds were classified as Tier 1 and, thus, are high priority for inclusion in analytical methods for monitoring and studies. Of these, about three-quarters are included in some USGS analytical method; however, many of these compounds are included on research methods that are expensive and for which there are few data on environmental samples. The remaining quarter of Tier 1

compounds are high priority as new analytes. The objective for analytical methods development is to design an integrated analytical strategy that includes as many of the Tier 1 pesti-cide compounds as possible in a relatively few, cost-effective methods.

More than 60 percent of the Tier 1 compounds are high priority because they are anticipated to be present at concen-trations approaching levels that could be of concern to human health or aquatic life in surface water or groundwater. An additional 17 percent of Tier 1 compounds were frequently detected in monitoring studies, but either were not measured at levels potentially relevant to humans or aquatic organisms, or do not have benchmarks available with which to compare con-centrations. The remaining 21 percent are pesticide degradates that were included because their parent pesticides were in Tier 1. Tier 1 pesticide compounds for water span all major pesti-cide use groups and a diverse range of chemical classes, with herbicides and their degradates composing half of compounds. Many of the high priority pesticide compounds also are in several national regulatory programs for water, including those that are regulated in drinking water by the U.S. Environmen-tal Protection Agency under the Safe Drinking Water Act and those that are on the latest Contaminant Candidate List.

For sediment, a total of 175 pesticide compounds were classified as Tier 1 and, thus, are high priority for inclusion in analytical methods available for monitoring and studies. More than 60 percent of these compounds are included in some USGS analytical method; however, some are spread across several research methods that are expensive to perform, and monitoring data are not extensive for many compounds. The remaining Tier 1 compounds for sediment are high priority as new analytes. The objective for analytical methods develop-ment for sediment is to enhance an existing analytical method that currently includes nearly half of the pesticide compounds in Tier 1 by adding as many additional Tier 1 compounds as are analytically compatible.

Prioritizing Pesticide Compounds for Analytical Methods Development

By Julia E. Norman, Kathryn M. Kuivila, and Lisa H. Nowell

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2 Prioritizing Pesticide Compounds for Analytical Methods Development

About 35 percent of the Tier 1 compounds for sedi-ment are high priority on the basis of measured occurrence. A total of 74 compounds, or 42 percent, are high priority on the basis of predicted likelihood of occurrence according to physical-chemical properties, and either have potential toxicity to aquatic life, high pesticide useage, or both. The remain-ing 22 percent of Tier 1 pesticide compounds were either degradates of Tier 1 parent compounds or included for other reasons. As with water, the Tier 1 pesticide compounds for sediment are distributed across the major pesticide-use groups; insecticides and their degradates are the largest fraction, mak-ing up 45 percent of Tier 1. In contrast to water, organochlo-rines, at 17 percent, are the largest chemical class for Tier 1 in sediment, which is to be expected because there is continued widespread detection in sediments of persistent organochlorine pesticides and their degradates at concentrations high enough for potential effects on aquatic life. Compared to water, there are fewer available benchmarks with which to compare con-taminant concentrations in sediment, but a total of 19 Tier 1 compounds have at least one sediment benchmark or screening value for aquatic organisms. Of the 175 compounds in Tier 1, 77 percent have high aquatic-life toxicity, as defined for this process.

This evaluation of pesticides and degradates resulted in two lists of compounds that are priorities for USGS analyti-cal methods development, one for water and one for sedi-ment. These lists will be used as the basis for redesigning and enhancing USGS analytical capabilities for pesticides in order to capture as many high-priority pesticide compounds as possible using an economically feasible approach.

IntroductionTo ensure that the U.S. Geological Survey (USGS),

and specifically, the National Water-Quality Assessment (NAWQA) Program is prepared to address future pesti-cide monitoring needs, a strategy for prioritizing pesticide compounds for analytical methods development is needed that considers a very broad range of pesticides that can be important in either streams or groundwater. When character-izing pesticides in streams, the more water-soluble pesticide compounds are most readily determined by sampling the water column, whereas the more hydrophobic pesticide compounds are more likely to be detected in sediment. Some persistent, hydrophobic pesticide compounds that tend to accumulate in sediment also can bioaccumulate in the tissues of fish and other aquatic organisms, though prioritization for fish tissue methods was not included in the scope of this report.

The prioritization strategy described in this report includes screening procedures for water and sediment, with the goal of identifying the highest priority compounds to include in future analytical methods. The “universe” of more than 600 compounds considered includes 447 pesticide com-pounds for which agricultural pesticide use information was

available, selected degradates, and other pesticide compounds currently on USGS analytical methods for pesticides in water and sediment. Pesticide degradates included primarily those that have been analyzed by USGS methods and do not represent all possible degradates of the agricultural pesticides evaluated. Criteria incorporated into the prioritization strategy include measured detection frequency and concentration in streams, groundwater, and sediment; predicted concentrations in streams and groundwater; agricultural and non-agricultural pesticide use estimates; physical-chemical properties; aquatic-life benchmarks and toxicity data; human-health benchmarks; and priorities of other agencies or organizations.

Background

Past assessments of pesticides by NAWQA have pro-vided comprehensive national- and regional-scale analyses of pesticide occurrence and concentrations in streams and groundwater. Previous approaches for prioritizing pesticide compounds for analytical methods development for NAWQA Program studies have focused on selected pesticides, and their degradates, with high agricultural or urban uses (Gilliom and others, 2001). Pesticide use is constantly changing, however, with new pesticides being registered and introduced into use, while other pesticides are restricted or banned from use. When pesticides are applied in the environment, there are concerns for toxicity to non-target organisms, including aquatic life and humans. It is important to monitor and assess compounds that could occur at concentrations of potential concern to aquatic organisms, humans, or both, particularly those that are most likely to occur and persist in the environment. In addition to parent pesticide compounds, pesticide degradation products also need to be considered because these compounds can persist in the environment and also can be toxic to non-target organisms.

Other Chemical Prioritization Approaches

Chemical prioritization or ranking systems provide a means to synthesize information about the relative exposures, hazards, and risks posed by chemicals to assist in the alloca-tion of monitoring or other resources. Ranking and scoring systems have been developed for many purposes, includ-ing regulatory action, priority setting, and impact evalua-tions (Davis and others, 1994). When the National Research Council reviewed 10 existing chemical prioritization schemes, they characterized them using a common framework shown in figure 1 (National Research Council, 1999). “Selection of Contaminant Pool” refers to the universe of chemicals con-sidered in each of the prioritization schemes; “Determination of Exposure” refers to the factors, such as occurrence in the environment, considered in evaluating the potential exposure to a contaminant; and “Determination of Toxicity” refers to the factors considered in evaluating the potential health effects of a contaminant. Finally, “Prioritization Scheme” refers to

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Introduction 3

the algorithm by which exposure and toxicity are combined to provide a metric for ranking or prioritizing contaminants.

Prioritization efforts undertaken in the United States and internationally have included those that focus on persistent, bioaccumulative, and toxic (PBT) chemicals, contaminants for potential regulation in drinking water, high production-volume chemicals, and emerging contaminants. PBT programs include the U.S. Environmental Protection Agency’s (USEPA’s) PBT Chemical Program, which has relied upon tools to prioritize chemicals, such as the PBT Profiler, an online risk-screening tool that predicts a chemical’s potential to persist, bioaccu-mulate, and be toxic to humans or aquatic organisms (U.S. Environmental Protection Agency, 2010b), and the Waste Minimization Prioritization Tool (WMPT), a tool developed to prioritize chemicals on the basis of persistence, bioaccumula-tion potential, toxicity, and quantity (U.S. Environmental Pro-tection Agency, 2000a). Other PBT prioritization efforts were conducted by the 2001 Stockholm Convention on Persistent Organic Pollutants (POPs, http://chm.pops.int/default.aspx); the Canadian government, as part of its Chemicals Manage-ment Plan “Challenge” program for high-priority chemical substances (http://www.chemicalsubstanceschimiques.gc.ca/challenge-defi/index-eng.php); and the state of Oregon, which recently created a prioritized list of persistent pollutants to guide the state’s pollution prevention efforts (Oregon Depart-ment of Environmental Quality, 2009). One recently published prioritization effort identified new persistent and bioaccumula-tive organic chemicals that are not included in current moni-toring programs but are present in the environment (Howard and Muir, 2010), and other studies have prioritized emerging or trace environmental contaminants in freshwater, including potential endocrine-disrupting chemicals (Kumar and Xagoraraki, 2010; Murray and others, 2010).

USEPA’s Contaminant Candidate List (CCL) program prioritizes chemicals for regulation in drinking water by using a detailed classification approach developed through recom-mendations from the National Research Council (NRC) of the National Academy of Science (National Research Coun-cil, 2001) and the National Drinking Water Advisory Coun-cil (U.S. Environmental Protection Agency, 2009b). Every 5 years the USEPA is required to publish a list of unregulated contaminants that are known or anticipated to occur in public water systems and which may require future regulations under the Safe Drinking Water Act (SDWA). USEPA is required to develop the CCL by using specific data sources and criteria and must consider health effects and occurrence information to identify contaminants of greatest concern to public health from exposure to drinking water. The most recent list is the Third Contaminant Candidate List (CCL3), which was finalized in August 2009 (U.S. Environmental Protection Agency, 2009b).

None of these approaches completely meet USGS needs for prioritizing pesticide compounds. Many of the approaches rely on separate scoring techniques for exposure and toxicity components and then apply algorithms to combine compo-nent scores into an overall score for a chemical. The USGS prioritization strategy for pesticide compounds described herein follows the general framework illustrated in figure 1 to meet the goals of creating systematic procedures for water and sediment that are objective, semi-quantitative (to the extent possible), and absolute (not relative rankings). For example, the availability of modeling tools for water made it possible to combine potential exposure and toxicity components to express predicted environmental pesticide concentrations, or predicted exposure, relative to toxicity as a fraction of potentially toxic levels.

sac11-0422_fig 01

Selection of contaminant pool

Determination of toxicity

Determination of exposure

Prioritization Scheme

Figure 1. National Research Council framework for evaluating chemical ranking schemes (National Research Council, 1999).

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4 Prioritizing Pesticide Compounds for Analytical Methods Development

Purpose and Scope This report describes the process of prioritizing pesticide

compounds for methods development to identify those com-pounds that are most likely to occur frequently or be present at concentrations potentially harmful to humans or aquatic organisms in the environmental matrix of interest: water or sediment. Separate screening procedures were developed to prioritize pesticide compounds for water and sediment because of differing availability of data. In both media, compounds were prioritized into three levels of relative importance, and the highest priority group of compounds for water and sedi-ment are the main focus for analytical methods development and inclusion in future monitoring programs.

The more than 600 pesticide compounds screened include pesticides for which recent agricultural pesticide-use data were available, selected degradates, and other pesticide compounds currently included in USGS analytical methods for pesticides in water and sediment. The prioritization strategy reflected the fact that pesticide studies may have a number of different goals. Pesticide compounds that are known, or anticipated, to occur frequently in the environment, regardless of their concentrations, can, for example, be important to monitor for trends or studies of fate and transport. Additionally, pesticide compounds can be important to consider for potential effects on human health or aquatic life if they have been measured, or are anticipated to occur, at concentrations approaching relevant threshold concentrations for organisms with potential exposure. Because this was a screening process, thresholds for occurrence and concentrations, and decisions for pri-oritizing pesticide compounds into tiers, were intentionally conservative.

Water

The goal of the prioritization for water was to identify pesticides and degradates that are likely to occur widely in streams or groundwater, or that are anticipated to occur at concentrations potentially relevant to the health of humans, in streams and groundwater, or aquatic organisms in streams. The 619 pesticides and degradates screened for water were evaluated by considering (1) measured pesticide concentration and detection-frequency data from NAWQA Program studies of streams and groundwater; (2) predicted pesticide concentra-tions in streams and groundwater, which incorporated pesti-cide-use estimates and physical-chemical properties; and (3) potential toxicity to humans and aquatic organisms. Pesticide compounds were further evaluated for their regu-latory and non-regulatory importance to other agencies or organizations.

Pesticide compounds analyzed in previous NAWQA studies were evaluated in terms of both detection frequency and measured concentrations. Modeling procedures were used to predict concentration statistics for current-use pesticides, and selected degradates, for which recent agricultural-use

estimates were available. Pesticide compounds with data from previous NAWQA studies that also have current agricultural-use data were evaluated for both measured and predicted occurrence. Pesticide concentrations, either predicted or mea-sured, were placed in the context of toxicity to humans and aquatic life by using benchmarks and toxicity information.

Sediment

The goal of the prioritization for sediment was to identify pesticides and degradates that frequently occur, or are likely to occur in sediment, and that could be toxic to aquatic organ-isms. The universe of pesticide compounds in sediment started with the list of 619 compounds from the screening for water, which was completed first. Pesticides and degradates included in USGS analytical methods, both approved and research, for sediment that are not included in any water methods were added to the list. The list was further refined to exclude con-stituents such as mixtures, microbial pesticides, and inorganic compounds, which resulted in a list of 611 pesticides and degradates to be screened for sediment.

The screening for sediment considered (1) measured occurrence in stream bed, suspended, and lake sediments from prior USGS studies; (2) predicted likelihood of occurrence in sediment on the basis of physical-chemical properties; (3) potential toxicity to aquatic organisms; and (4) pesticide-use levels. As with water, pesticide compounds also were evaluated according to the priorities of other agencies or organizations.

Pesticide compounds analyzed in previous USGS studies were evaluated for their detection frequency. For pesticide compounds without occurrence data, physical-chemical prop-erty data were examined to determine the likelihood of the compound occurring in sediments. When possible, measured pesticide concentrations were evaluated relative to toxicity to aquatic organisms by comparing concentrations to screening values for sediment. Aquatic toxicity also was incorporated into the sediment prioritization by classifying pesticides that occur, or are likely to occur, in sediment according to their relative degrees of toxicity to identify the most toxic compounds.

MethodsThe prioritization strategy incorporated the same general

data elements in the screening procedures for water and sedi-ment. This section first describes the common data elements used and then separately describes the tiering processes for water and sediment. Specifics about measured occurrence data for water and sediment, details about models used to estimate predicted concentrations in water, and agency and organization priorities considered are given under the water and sediment tiering process subsections.

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Methods 5

Data Types and Sources

Several types and sources of data were used to prioritize pesticide compounds for water and sediment. The following subsections discuss physical-chemical properties, pesticide use information, aquatic-life benchmarks and toxicity infor-mation, sediment benchmarks and toxicity information, and human-health benchmarks.

Physical-Chemical PropertiesPhysical-chemical property data for pesticides were com-

piled from several sources, including the Pesticide Properties DataBase (2009) from the UK FOOTPRINT project (PPDB), a literature compilation of property data from primary sources conducted by the NAWQA Pesticide National Synthesis group (various sources cited in tables), and experimental and estimated values from USEPA’s Estimation Programs Interface (EPI) Suite™ software program (U.S. Environmental Protec-tion Agency, 2009a). Three properties were used to predict pesticide concentrations in streams by using the multi- compound Watershed Regressions for Pesticides (WARP) model: vapor pressure, the organic carbon-water partition-ing coefficient (Koc), and aerobic soil degradation half-life (+). When property data were available from more than one source, a priority of existing sources was used to select the value for each property in order to obtain the greatest consis-tency in the type of value selected and to rely on values com-piled from the literature. The priority of sources for selected property values were as follows:

• Vapor pressure—(1) PPDB or (2) EPI Suite™ experi-mental or estimated value.

• Koc—(1) literature value, (2) PPDB, or (3) EPI Suite™ experimental or estimated value.

• Soil half-life—(1) PPDB “typical” (the “typical values” are those given in the general literature and are often a mean of all studies, field and laboratory), field study, or lab study, or (2) field or lab study value compiled from literature.

Selected properties also were used to determine the predicted likelihood of occurrence of pesticide compounds in sediment: aerobic soil degradation half-life, to indicate per-sistence; octanol-water partitioning coefficient (Kow) or water solubility, to indicate hydrophobicity; and Koc, to indicate soil sorption (appendix 1). As with water, with the exception of soil half-life, when property data were available from more than one source, a priority of available sources was used to select the value for each property. The priority of sources for selected Kow values was (1) PPDB, (2) literature value, or (3) EPI Suite™ experimental or estimated value. The priority of sources for selected water solubility values was (1) literature

value at 25 degrees Celsius (°C), (2) EPI Suite™ experimental or estimated value at 25°C, or (3) PPDB value at 20 or 25°C. Water solubility values from the PPDB were given lowest priority because most are given at 20°C, compared to the stan-dard 25°C used in most other sources. The priority of sources for Koc values selected was the same as for water. A conserva-tive decision was made to choose the maximum, or longest, of the available soil degradation half-life values, using the same sources as those listed for water, because a compound’s per-sistence was the primary factor in predicting the likelihood of occurrence in sediments. For a limited number of compounds for which measured soil half-life values were not available as a measure of persistence in sediment, but for which other properties that were required to determine predicted likelihood of occurrence in sediment, estimates of persistence were relied upon. These estimates also are listed in appendix 1 and were of two types: (1) a “Persistence score” (see appendix 2 for the scoring methodology), determined from output of the BIO-WIN model, a component of EPI Suite™ (U.S. Environmental Protection Agency, 2009a), and (2) estimated soil half-life from the PBT Profiler, a property estimation screening tool developed to screen chemicals lacking experimental data, to identify chemicals that potentially persist, bioaccumulate, and are toxic to aquatic life (U.S. Environmental Protection Agency, 2010b).

Pesticide-Use DataEstimates of agricultural pesticide use for 2007 were

obtained from unpublished proprietary data from GfK Kynetec (GfK), for 331 pesticides (GfK Kynetec, 2007). The data from GfK include pesticide-use estimates for active ingredients col-lected through annual surveys of more than 80 crops, includ-ing major field crops, some fruit and specialty crops, and other agricultural land use, such as pasture and rangeland. Annual crop surveys are based on a statistical sample of commercial farm operations distributed throughout crop reporting districts (Thelin and Stone, 2010). Of the 447 pesticide compounds in the database of use estimates for the years 1992 to 2007, 331 compounds had agricultural use for the most recent year, 2007. These data were used in the screening procedure for water in models used to estimate pesticide concentrations in streams and groundwater. Estimates of non-agricultural pesticide-use ranges were based on information collected dur-ing 2000–07 obtained from the USEPA (Gail P. Thelin, U.S. Geological Survey, written commun., 2009); these estimates, along with 2007 agricultural pesticide-use estimates, were used qualitatively in the screening procedure to prioritize pesticide compounds in sediment. Agricultural pesticide-use trends—increasing or decreasing—from the most recent 5 years of unpublished proprietary data, 2003–07, from GfK Kynetec also were considered.

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6 Prioritizing Pesticide Compounds for Analytical Methods Development

Aquatic-Life Benchmarks and Toxicity Information for Water

Aquatic-life benchmarks for water used in this prioriti-zation effort included USEPA Office of Pesticide Programs’ (OPP) aquatic-life benchmarks for freshwater (U.S. Envi-ronmental Protection Agency, 2009d); USGS aquatic-life benchmarks, developed using the same methods used to develop OPP benchmarks as well as aquatic-life toxicity data compiled from OPP Reregistration Eligibility Decision (RED) and ecological risk assessment documents for indi-vidual compounds, which are available at http://www.epa.gov/oppsrrd1/reregistration/status.htm (U.S. Environmental Protection Agency, 2010c); and USEPA Office of Water’s National Recommended Water-Quality Criteria (NRWQC) for the protection of aquatic life (U.S. Environmental Protec-tion Agency, 2002). Benchmark values were selected in the previously listed order of priority among sources. For a given compound, if multiple benchmarks were available for different taxonomic groups or for acute or chronic exposures, then the lowest (most conservative) value was selected.

For compounds that lacked benchmarks, aquatic-life tox-icity data were compiled. Data sources for these toxicity data, selected in the following order of priority, included USEPA OPP RED or ecological risk assessment documents (U.S. Environmental Protection Agency, 2010c), USEPA’s ECO-TOXicology Database System (U.S. Environmental Protection Agency, 2010a), USEPA OPP Pesticide Ecotoxicity Database (U.S. Environmental Protection Agency, 2009e). Toxicity values from standard test species, endpoints, and test durations were used. In the absence of measured toxicity data, predicted toxicity values from USEPA’s Ecological Structure Activ-ity Relationships (ECOSAR) estimation program, part of the EPI Suite™ software (U.S. Environmental Protection Agency, 2009a), were used. A level of concern (LOC) factor of 0.5 was applied to acute fish and invertebrate toxicity values to make them comparable to acute aquatic-life benchmarks consistent with USEPA OPP’s methodology (U.S. Environmental Protec-tion Agency, 2009d). The minimum, or most conservative, toxicity value (with the LOC applied to acute values) from the chosen source was selected for each compound. Henceforth in this report, the aquatic-life benchmarks or toxicity values selected for each pesticide compound and used in the prioriti-zation for water will be collectively referred to as “aquatic-life benchmarks”; these values are tabulated in appendix 3.

Sediment Benchmarks and Toxicity InformationSeveral types of sediment benchmarks for benthic organ-

isms were compiled for comparison with measured pesticide concentrations in sediment, including USEPA equilibrium- partitioning sediment guidelines (U.S. Environmental Protection Agency, 2004), Canadian interim sediment-quality guidelines (Canadian Council of Ministers of the

Environment, 2002), sediment-quality screening values from Lopes and Furlong (2001), and consensus-based sediment-quality guidelines from MacDonald and others (2000). Some of these benchmarks—especially those from Canada and MacDonald and others (2000)—consist of a pair of screening values for each compound, with the upper screening value designating concentrations above which effects are likely or frequently observed, and the lower screening value indicating concentrations below which effects are rare or not expected.

For pesticides without sediment benchmarks for benthic organisms, aquatic-toxicity information for pesticides in water, compiled as described in the previous section, was used to categorize pesticide compounds by their potential toxicity to sediment-dwelling organisms. Aquatic toxicity from sediment exposures is predicted to occur at the same concentration in the pore water of the sediment as it would in water-only exposures, with the pore-water concentration, at equilibrium, assumed to be a function of the organic carbon content of the sediment (Di Toro and others, 1991). Therefore, in the present report, the relative toxicity of pesticides in water was used as an indicator of their relative toxicity in sediment—the influ-ence of sediment-organic carbon, which is a characteristic of the sediment, not the pesticide, need not be considered because it is a site-specific concern. Briefly, aquatic-life benchmarks were used to derive Aquatic-Life (AL) Toxicity Bins as sum-marized in table 1. Pesticide compounds with benchmarks that met the acute or chronic threshold concentrations for a given AL Toxicity Bin were classified in that bin. With respect to sediment tier assignments, which is described later, pesticide compounds in AL Toxicity Bins 1 and 2 were considered to have “high” aquatic toxicity, and compounds in AL Toxicity Bin 3, or with no information available (NIA), were con-sidered to have “low” aquatic toxicity. A table of (1) the AL Toxicity Bins with the underlying aquatic-life benchmarks and (2) the available sediment benchmarks, used in the evaluation of pesticides for sediment, is provided in appendix 4.

Human-Health BenchmarksHuman-health benchmarks used in the prioritization strat-

egy include USEPA Maximum Contaminant Levels (MCLs) for drinking water (U.S. Environmental Protection Agency, 2009c); Health-Based Screening Levels (HBSLs) from USGS (Toccalino and others, 2008) or provisional HBSLs (pHBSLs), which were calculated for additional compounds that have yet to have an HBSL determined, using the HBSL methodology (Toccalino, 2007); or Maximum Acceptable Concentrations (MACs) from Canada (Health Canada, 2008). Henceforth in this report, the benchmarks described above will be collec-tively referred to as human-health benchmarks. Concentra-tions of pesticide compounds that are regulated by USEPA in drinking water under the SDWA were compared to MCLs, and concentrations of unregulated contaminants were compared

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Methods 7

to HBSLs (or pHBSLs), when available, or MACs for a few compounds. MCLs are legally enforceable USEPA drinking-water standards (U.S. Environmental Protection Agency, 2009c). HBSLs are non-enforceable benchmark concentrations of contaminants in water that were developed by the USGS in collaboration with the USEPA and others (Toccalino, 2007).

The Tiering Process

This section describes the separate screening proce-dures that were developed to prioritize pesticide compounds for analytical methods development for water and sediment. Compounds were prioritized into three tiers for each medium (water and sediment). Tier 1 includes compounds that are high priority for analytical methods development for future water-quality monitoring and studies because they are known or anticipated to widely occur in the environment, or they can occur at concentrations relevant to the health of humans or aquatic organisms; Tier 2 includes compounds that do not meet the criteria for the highest priority group but that are of moderate priority because of their regulatory status, potential for occurrence, toxicity, or importance to other agencies or

organizations; and Tier 3 includes compounds that do not meet the criteria for Tiers 1 or 2 and are currently low priority for analytical methods development efforts.

Pesticide compounds can be categorized as Tier 1, the highest priority, on the basis of measured or predicted occur-rence, or potential for toxicity to aquatic life or humans. Prioritization criteria that were common to both water and sediment procedures include measured detection frequency of greater than 10 percent in USGS monitoring studies, inclusion of pesticide degradates in the same tier as parent pesticides, and evaluation of importance to other agencies or organiza-tions. In addition, pesticide-use information and physical-chemical properties were used in both prioritization proce-dures, although in different manners. As an occurrence-based approach to prioritization, USGS, and primarily NAWQA, datasets were selected for this process because these data adhere to a consistent national design. Extending beyond these data sources into studies with designs that are not consistent with them, as well understood, or that use targeted approaches, was beyond the scope of this approach; however, expanding to outside data sources could be helpful for future work. Further, pesticide compounds with recent agricultural-use data that are not included in USGS analytical methods, as well as com-pounds that are, were evaluated by prediction means, which expanded the occurrence-based evaluation of pesticide com-pounds beyond those determined by USGS analytical meth-ods. The specific procedures and uses of data are described for each medium in the following “Water” and “Sediment” sections.

WaterThe screening procedure for pesticide compounds in

water incorporates measured or predicted pesticide concentra-tions, or both, in surface water and groundwater, historical detection-frequency data, and potential toxicity to aquatic organisms and humans. Screening procedures for pesticide compounds in water were carried out in parallel for surface water and groundwater.

Measured and predicted pesticide-concentration statistics were compared to applicable aquatic-life, or human-health benchmarks, or both when available. Benchmark quotients (BQs) were calculated by dividing the concentration statistic by the benchmark value and used to indicate the degree of potential concern for aquatic life and human health. A thresh-old value of BQ greater than 0.01 for either aquatic life or human health, resulting from either measured or predicted concentrations, was selected as a conservative measure to categorize pesticide compounds as high priority—and thus, in Tier 1. A BQ greater than 0.01 indicates that a contaminant concentration is greater than one-hundredth of the benchmark value. This threshold is more conservative than thresholds often used in analyses of water-quality data. For example, for individual contaminants, concentrations greater than one-tenth of a human-health benchmark commonly are used to identify contaminants that could warrant additional monitoring, to

Table 1. Thresholds for Aquatic-Life Toxicity Bins for pesticides in sediment.

[Abbreviations: AL, aquatic-life; NIA, no information available; µg/L, microgram per liter; <, less than; >, greater than; –, none]

AL Toxicity Bin

Benchmark type

Benchmark threshold

concentration (µg/L) 1

1 Acute 2 <50 Chronic <10

2 Acute 2 50 to 50,000 Chronic 10 to 10,000

3 Acute 2 >50,000Chronic >10,000

NIA – – 1 The acute and chronic toxicity thresholds are consistent with the

ecotoxicity categories from the Pesticide Properties Database (2009). The acute toxicity thresholds also are consistent with USEPA Environmental Fate and Effects Division’s ecotoxicity categories (http://www.epa.gov/oppefed1/ecorisk_ders/toera_analysis_eco.htm) with the highly, moderately, and slightly toxic categories collapsed into a range of concentrations corresponding to AL Toxicity Bin 2.

2 AL Toxicity Bin thresholds for acute aquatic-life benchmarks account for the level of concern (LOC) of 0.5 that was applied to acute toxicity values for pesticides to determine benchmark values, consistent with U.S. Environmental Protection Agency Office of Pesticide Programs methodology (U.S. Environmental Protection Agency, 2009e). Acute thresholds would be two-times greater (and ten-times greater than chronic thresholds corresponding to the same AL Toxicity Bin) if raw acute toxicity values (LC50 or EC50 values without an LOC applied) were used to determine AL Toxicity Bins. The acute thresholds for other (non-pesticide) contaminant groups evaluated for analytical methods development priorities were <100, 100 to 100,000, and >100,000 μg/L for AL Toxicity Bins 1, 2, and 3, respectively (Lisa D. Olsen, U.S. Geological Survey, written commun., 2010).

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8 Prioritizing Pesticide Compounds for Analytical Methods Development

analyze trends in their occurrence, and to provide an early indication of contaminant concentrations that approach their benchmarks (Toccalino and others, 2006; Toccalino, 2007). The 0.01 BQ threshold was chosen to be more inclusive for identifying compounds for methods development priorities.

There are limitations to the approach of using observed or predicted occurrence for pesticide compounds for which one particular form is measured or predicted, but multiple applica-tion forms can exist. An example of this is the chlorophenoxy acid herbicides, which also can be applied as salts or esters and, therefore, have different forms of the pesticide active ingredient introduced to the environment. In these cases, the specific pesticide compound used in the prioritization was determined according to the compound for which data were available. Analytical methods can underestimate the total pesticide concentration when, for example, a particular ester form of a pesticide is measured (for example, sulfometuron-methyl). Further, use data for current agricultural-use pesti-cides usually list only one form of these compounds but use estimates can include multiple forms. As such, predicted con-centrations can provide better estimates of the total concentra-tions for pesticide compounds such as these. Because pesti-cide compounds with USGS occurrence data that are current agricultural-use pesticides also were evaluated by predicted concentrations, this limitation is reduced. Benchmarks, when available, were matched to the specific form of the measured or predicted compound.

Detection frequencies of pesticide compounds in surface water and groundwater from NAWQA water-quality monitor-ing studies also were evaluated. A detection frequency thresh-old of 10 percent was used to identify “frequently detected” compounds, which were placed in Tier 1. This detection frequency often is selected as a threshold for frequently- occurring compounds in water-quality studies and was consis-tent with the threshold used to screen occurrence data for other contaminant groups under evaluation for analytical-methods development priorities (Lisa D. Olsen, U.S. Geological Survey, written commun., 2010).

The screening of measured occurrence data, in addition to predicted pesticide concentrations, to determine priority compounds allows inclusion of pesticides no longer registered for use and balances the need to track trends in historically prevalent compounds with the need to include newer

current-use pesticide compounds that are potentially important but have yet to be characterized.

Surface WaterThe evaluation of pesticide compounds in surface water

was based on measured and predicted concentrations in streams and detection frequency in streams, and is illustrated in figure 2. Derivation of measured and predicted pesticide-concentration statistics is described below. These concentra-tion statistics were divided by aquatic-life or human-health benchmarks, when available, to calculate BQs. The 95th-percentile concentration statistic was chosen for comparison to aquatic-life benchmarks because this concentration represents the concentration likely to be exceeded for about 2.5 weeks per year and is appropriate for comparison to chronic bench-marks; the benchmarks selected for comparison were the lowest value for a given compound and are protective of the most sensitive species for short or long-term exposures. The annual mean concentration statistic was chosen for com-parison to human-health benchmarks used in this evaluation because benchmarks are based on long-term, lifetime expo-sure. Measured pesticide detection frequency in streams also was evaluated.

Measured Concentrations in Streams

Concentration data for 83 pesticide compounds sampled in up to 113 stream sites in previous NAWQA water-quality monitoring studies were evaluated; these data are summa-rized in appendix 5. Pesticide-concentration statistics for agricultural and urban land-use streams that were sampled 8 to 50 times over a 1-year period between 1993 and 2000 were compared to aquatic-life and human-health benchmarks, when available. For a given compound, the maximum of the time-weighted 95th-percentile concentrations among stream sites was compared to the aquatic-life benchmark, and the maximum of the time-weighted annual mean concentrations was compared to the human-health benchmark. The resulting BQ values were used to identify compounds that historically have been detected in streams at concentrations approaching threshold concentrations potentially relevant to aquatic life or human health.

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Methods 9

sac11-0422_fig 02

Measured1 or predicted2 AL or HH BQ greater than 0.01 in streams or

groundwater (HH only)?

Measured DF3 greater than 10 percent in

streams or groundwater?

Other agency or organization priority?

Degradate of a Tier 1 compound?

Degradate of a Tier 1 or Tier 2 compound?

To Tier 1 or 2, as appropriate

Yes

NoYes

No

NoYes NoYes

YesTier 1

Tier 2

No

Tier 3

1BQs for measured concentrations in streams are the maximum of the 95th percentile concentrations among stream sites divided by the AL benchmark, and the maximum of the annual mean concentrations divided by the HH benchmark. BQ for measured concentrations in groundwater are the 99th percentile concentration of wells divided by the HH benchmark. Measured concentration statistics are for agricultural and urban land-use streams and agricultural, urban, and mixed land-use wells.

2BQs for predicted concentrations in streams are the maximum of the 95th percentile concentrations among stream reaches divided by the AL benchmark, and the maximum of the annual mean concentrations divided by the HH benchmark. BQs for predicted concentrations in groundwater are the 99th percentile concentration divided by the HH benchmark.

3Measured DFs are for pesticide compounds measured in streams and groundwater in agricultural and urban land-use areas.

AL = aquatic-life

HH = human-health

BQ = benchmark quotient

DF = detection frequency

EXPLANATION

Figure 2. Flow chart for the evaluation of pesticides and degradates in surface water and groundwater.

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10 Prioritizing Pesticide Compounds for Analytical Methods Development

Predicted Concentrations in Streams

The WARP model for atrazine (Stone and Gilliom, 2009) was used to predict pesticide-concentration statistics in streams by using adjustment factors to extrapolate to other pesticides. The WARP models were designed to predict atra-zine concentrations in streams on the basis of agricultural-use intensity at the watershed scale; the models have the general form of equation 1:

log Concentration = UI + log R+ K+ WA +

101/4

101/2

( ) ( )f PERDUN + PRECIP

whereUI = atrazine-use intensity, or the

a

]

nnnual agricultural use in a watershed in kilograms dividedd by the watershed area in square kilometers;

R = rainfall errosivity factor R-factor from Universal Soil Loss Equat

( )iion

USLE ;K = soil erodibility factor K-factor

from USLE

( )( )

;;WA = area of the watershed in square

kilometers;PERDUN = perccentage of total stream flow

derivedfrom Dunne overland fflow; andPRECIP = total precipitation for May and

June in miillimeters.

(1)

Details about the application of the WARP model and coefficients for the model variables are included in appendix 6. The model was applied to other pesticides by substituting the use intensity of the pesticide of interest and adjusting the predicted concentrations by using physical-chemical proper-ties of that pesticide, as described in detail in appendix 6. Briefly, multi-compound adjustment factors incorporate physical-chemical properties of a pesticide compound—soil degradation half-life, Koc, and vapor pressure—that indicate the degree to which the compound is more or less mobile in surface water than atrazine, and adjusts the predicted concen-tration for that compound accordingly. The physical-chemical property values used in the model are listed in appendix 1. Pesticide compounds for which individual physical-chemical properties were unavailable had the properties of atrazine sub-stituted in the adjustment factor; this provides a conservative estimate of concentrations for most other pesticides because atrazine is relatively water soluble, mobile, and persistent in

the environment (Gilliom and others, 2006). Recent (2007) agricultural pesticide-use intensity estimates for 331 pesticides (unpublished proprietary data from GfK Kynetec) were used, and, as a worst-case approximation, use estimates for parent compounds were applied to an additional 111 degradation products. These degradates primarily were current analytes in USGS analytical methods and do not represent all possible degradates of the agricultural pesticides evaluated.

Predicted concentration statistics, specifically the 95th percentile and annual mean, in up to more than 62,000 individual stream reaches, depending on the area of pesticide use, were estimated for a total of 442 pesticides and degra-dates. For each compound, the maximum of the 95th per-centile and the maximum of the annual mean concentrations among stream reaches were used to determine aquatic-life and human-health BQs, respectively. The resulting BQ values were used to identify current-use pesticides and degradates that have the potential to occur in streams at concentrations approaching threshold concentrations relevant to aquatic life or human health.

Detection Frequency in Streams

In addition to screening BQ values, NAWQA detection frequency data for 218 pesticide compounds analyzed in up to 101 agricultural and 51 urban stream sites during 1993–2006 were evaluated (fig. 2 and appendix 7). Detection frequen-cies of pesticide compounds at individual stream sites were calculated, then pooled by land-use group, to give an overall mean detection frequency for each land-use group, agricultural or urban, that is site-weighted. A minimum of 12 samples per stream site were required to be included in the detection fre-quency calculations. This screening identified pesticide com-pounds that were detected frequently—these were placed in Tier 1 even though they have no aquatic-life or human-health benchmarks available or occurred at concentrations below the 0.01 BQ threshold for placement in Tier 1.

GroundwaterThe evaluation of pesticide compounds using measured

and predicted pesticide concentrations in groundwater is illus-trated in figure 2. Determination of measured and predicted pesticide-concentration statistics is described in the following sections. The 99th percentile concentrations were divided by human-health benchmarks, when available, to calculate BQs. The 99th percentile concentration was chosen as a conserva-tive statistic for groundwater concentrations without using the maximum concentration among all wells sampled, which could include high-concentration outliers. Measured pesticide detection frequency in groundwater also was evaluated.

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Methods 11

Measured Concentrations in Groundwater

Concentration data for 83 pesticide compounds sampled in groundwater networks for previous NAWQA water-quality monitoring studies during 1993–2003 were evaluated; these data are summarized in appendix 8. Pesticide-concentration statistics were determined for agricultural (920 to 1,406 wells, depending on the pesticide), urban (607 to 856 wells), and mixed (1,446 to 2,732 wells) land-use wells, and the 99th percentile concentration for each pesticide in each land use was compared to human-health benchmarks, when available. The resulting BQs were used to identify compounds that historically have been detected in groundwater at concentra-tions approaching threshold concentrations that are potentially relevant to human health.

Predicted Concentrations in Groundwater

A regression model for predicting atrazine occurrence in shallow agricultural groundwater across the United States (Stackelberg and others, 2006) was modified to predict the summed concentration of atrazine and deethylatrazine (Paul Stackelberg, U.S. Geological Survey written commun., 2011). Model variables were selected to represent the environmental setting, agricultural management practices, and atrazine-use intensity. The modified model was used to predict concentra-tions of other current-use non-atrazine pesticide compounds by substituting recent (2007) agricultural pesticide-use inten-sity estimates for 331 pesticides in the present study (unpub-lished proprietary data from GfK Kynetec). The groundwater model has the form of equation 2:

log Concentration 3 46 92

1

1

1 3

0 00 0 00

0

( ) = − + ( )− (

. .

.

/use

artdrn)) + ( ) +

+

1 3 1 3

15 4

23

/ /

. .

.

( )0 0 0

0

2wtdep artdrn wtdep

per

i

mmin rech e airtemp

use

( ) + +( )( ) − ( )1 3

62 log 1 5

where

1

/

. arg .0 0 00

92200 = the intensity, in kilograms per square kilometer, off atrazine applications for agricultural purposes in 500-mmeter radial areas around each sampled well. Atrazine-use estimates were based on unpublished proprietary-use data obtained from DMRKYNETEC, Inc. (Thelin and Stone, 2010); 9200represents the average reported use for the year

use

ss 1992 2000.= the percentage of 1-square kilometer

g

−artdrn

rrid cells with subsurface drains and graded ditches as reppresented by conservation practices CP606, CP607, and/or CCP608 (U.S. Natural Resources Conservation Service, 1995)..

= depth the seasonally high water tablein meters (Na

wtdepttural Resources

Conservation Service, 1994).permeapermin = bbility of the least permeable soils

layer in centimeters pper hour U.S. Natural Resources

Conservation Service, 199(

44).mean annual groundwater recharge in

centimeterecharge =

rrs per year estimated from a base-flow analysis and mean

, annual

runoff as described in Wolock (2003) and modified to include groundwater withdrawn for irrigation purposes (Karen Burow, U.S. Geological Survey,written commun., Mayy 2009).

mean annual air temperature during 198airtemp = −0 977 in degrees C (Thornton, 2003).

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12 Prioritizing Pesticide Compounds for Analytical Methods Development

Details about the development and application of the groundwater model are included in appendix 9. A multi-compound model with adjustment factors for non-atrazine pesticides, like that used for streams, has not yet been devel-oped for groundwater, but this method provided a conservative estimate of future pesticide concentrations in groundwater by assuming that all pesticides behave in the environment as atrazine does. The 99th percentile predicted concentration for each compound was divided by the human-health bench-mark for the compound, when available, to calculate a BQ. The resulting BQs were used to identify current-use pesticide compounds that have the potential to occur in groundwater at concentrations approaching those relevant to human health.

Detection Frequency in Groundwater

Pesticide detection frequencies were evaluated for 216 pesticide compounds analyzed in up to 59 agricultural and 34 urban groundwater networks monitored by NAWQA during 1993–2006 (appendix 7). Detection frequencies of pesticide compounds in individual wells were pooled by network, and a mean detection frequency was calculated for each network; then networks were pooled by land-use group to give an overall mean detection frequency for the agricultural or urban land-use group that is site- and network-weighted. A mini-mum of 12 wells per network were required to be included in the detection frequency calculations. As with streams, this screening step identified pesticide compounds that have been detected frequently, that is greater than 10 percent, and places them in Tier 1—regardless of whether they have human-health benchmarks available or are below the 0.01 BQ threshold.

Other FactorsIn a final screening step, pesticide compounds were eval-

uated on the basis of other priorities relevant to aquatic life or human health (fig. 2). Pesticide compounds that did not meet the prioritization criteria for Tier 1, but were determined to be a priority to another agency or organization were assigned to Tier 2; priorities are tabulated in appendix 3. Criteria for Tier 2 priorities include pesticide compounds characterized by the following:

• Have USEPA MCL values, but do not meet the criteria for Tier 1 (U.S. Environmental Protection Agency, 2009d).

• Are on USEPA’s Contaminant Candidate List 3 (U.S. Environmental Protection Agency, 2009c).

• Have been included in USEPA’s Unregulated Contami-nant Monitoring (UCM) program on the UCM Regula-tion (UCMR) 1 or UCMR 2 list (U.S. Environmental Protection Agency, 2006).

• Are on the Association of American Pesticide Control Officials (AAPCO), State FIFRA (Federal Insecticide, Fungicide, and Rodenticide Act) Issues Research and Evaluation Group’s (SFIREG) State List of Pesticides of Water Quality Concern (Association of American Pesticide Control Officials, 2005).

• Have USEPA National Recommended Water Quality Criteria for the protection of aquatic life, but do not meet the criteria for Tier 1 (U.S. Environmental Protection Agency, 2002).

• Have specific objectives for aquatic life from the Great Lakes Water Quality Agreement (U.S. Environmental Protection Agency, 1978).

• Have Canadian water-quality guidelines for aquatic-life (Canadian Council of Ministers of the Environment, 2007).

• Have recent (1997–2008) active ingredient registra-tion with the USEPA (U.S. Environmental Protection Agency, 2009b).

Pesticide DegradatesWhen possible, pesticide degradates were evaluated in

the same manner as parent pesticide compounds, as described in the previous sections, “Surface Water” and “Groundwater.” Degradates primarily included those that are current analytes on USGS analytical methods, and they do not represent all possible degradates of the parent pesticides evaluated. Many degradates, however, lack information, such as toxicity or monitoring data, with which to assess their effects or occur-rence. Therefore, pesticide degradates that were not prioritized as highly as parent compounds were elevated to the same priority as the parent as a final step to ensure that potentially important degradates were included (fig. 2).

SedimentA prioritization procedure for pesticide compounds in

sediment was developed to incorporate measured occurrence data in stream and lake bed sediments, predicted likelihood of occurrence in sediments, potential toxicity to aquatic organ-isms, and pesticide use information. Pesticide compounds were further evaluated for their regulatory and non-regulatory importance to other agencies or organizations. The procedure for sediment was less quantitative than that for water because of the limited sediment monitoring data available and the lack of modeling tools. A schematic of the screening procedure for pesticide compounds in sediment is given in figure 3, and the pathways in the schematic are listed in table 2; details of the screening are described in the subsections that follow.

Page 27: Prioritizing Pesticide Compounds for Analytical Methods

Methods 13

Detection frequencies of pesticide compounds in sedi-ments from USGS monitoring studies were evaluated. A detec-tion-frequency threshold of 10 percent was used to identify “frequently detected” compounds, which were included in Tier 1. Measured pesticide-concentration statistics also were com-pared to aquatic-life benchmarks for sediment, when available. The screening of measured occurrence data, in addition to the predicted likelihood of occurrence in sediments to determine priority compounds, balances the need to track trends with the need to include newer current-use pesticide compounds that could partition to, and accumulate in, sediments and that are potentially important but have not yet been characterized.

Measured Sediment Occurrence Measured occurrence data from three USGS sediment

datasets, most of which were for organochlorine pesticides, were evaluated as follows:

1. NAWQA stream bed-sediment detection-frequency and concentration data for 34 organochlorine pesticides and degradates during 1992–2001 (appendix 10). Pesticides were analyzed in stream sites representing three land uses: agricultural, 176 to 242 samples, depending on the pesticide; urban, 71 to 125 samples; and mixed, 235 to 361 samples.

-

MEASURED OCCURRENCE

PREDICTED OCCURRENCE

OTHER FACTORS

Has compound been monitored?

Yes (USGS) No

DF > 10% DF 1 – 10% DF < 1%

High Low

AL toxicity: High if exceeds AL sediment

benchmarks OR if in AL Bin 1 or 2, else low

Tier 1: (i) high DF; (ii) moderate DF & high toxicity; (iii) moderate DF & low

toxicity but high use; (iv) high predicted occurrence & high toxicity;

or (v) high predicted occurrence & low toxicity but high use.

Tier 2: (i) moderate DF & high toxicity but no use & HL < 1 year; (ii) moderate DF & low toxicity; (iii) high predicted

occurrence & high toxicity but no use & HL < 1 year; or (iv) high predicted

occurrence & low toxicity.

Tier 3: (i) low DF; or (ii) low predicted occurrence

Pesticide degradate without available data to evaluate

No longer used, HL < 1 year & DF

low?

High or increasing use

No longer used & HL < 1 year

High or increasing

use

AL toxicity: High if in AL Bin 1 or 2, else low

Stability: High if soil HL > 30 days;OR Persistence score > 1

Hydrophobicity: High if logKow > 3 OR Sw < 1mg/L

High Low

P11

High Low

No Yes Yes No

P1

P2 P3

P6a P6b

As appropriateOF1

DEG1

OF2DEG2

P4 P5P8a P8b

No Yes Yes No

High Low High Low

Sorption to organic matter: High if Koc > 1000

P10 andP10*

P10*

Factors to ELEVATE: Compound has high use or both agricultural and non-agricultural use, but does not quite meet predicted occurrence thresholds; compound is of concern to other agencies; or compound is a degradate of a parent pesticide compound in Tiers 1 or 2.

Factors to DOWNGRADE : Compound has low measured occurrence ( < 5%) and is not persistent or hydrophobic and has low use.

P9 DEGx

OF3 DEG3

Figure 3. Flow chart for the evaluation of pesticides and degradates in sediment. Explanation: AL, aquatic-life; AL Bin, AL toxicity bin; DEG, degradate; DF, detection frequency; HL, soil degradation half life; Koc, soil organic carbon-water partition coefficient; Kow, octanol-water partition coefficient; mg/L, milligrams per liter; OF, other factors to elevate or downgrade a pesticide compound to another tier; P, pathway; Sw, water solubility; >, greater than; <, less than; %, percent.

Page 28: Prioritizing Pesticide Compounds for Analytical Methods

14 Prioritizing Pesticide Compounds for Analytical Methods Development

2. NAWQA lake core detection-frequency data for 14 organochlorine pesticides and degradates sampled during 1994–2001 (appendix 11). Pesticides were analyzed in up to 155 core samples collected from 40 urban and reference lakes around the U.S. Core samples represent lake sediments deposited after 1990 (1990 to 2001). Two to seven samples were analyzed from each of 15 dense urban (greater than 50 percent urban land use) lake sites; two to eight samples were analyzed from each of 17 light urban (about 8–50 percent urban land use) sites; and one to five samples were analyzed from each of eight refer-ence (less than 2 percent urban and no agricultural land use) sites (Van Metre and Mahler, 2005).

3. USGS Toxics Program stream bed- and suspended-sediment detection-frequency data for 74 legacy and current-use pesticides and degradates monitored

during 2001–08 (appendix 12). Pesticide compounds were analyzed in a total of 287 samples, with the number of samples for any individual pesticide compound ranging from 21 to 274. Samples were collected from 67 stream sites in targeted agri-cultural studies in California, which included 104 bed-sediment samples and 85 suspended-sediment samples. A total of 98 bed-sediment samples were collected from urban streams in seven states across the U.S., with 12 to 21 samples per site.

Pesticides in these datasets were screened by comparison to occurrence thresholds, as illustrated in figure 3. Frequently detected compounds, those with a detection frequency of greater than 10 percent, were categorized as high priority, or Tier 1, for sediment by pathway P1 (fig. 3 and table 2). Infrequently detected compounds, those with a detection fre-quency of less than 1 percent, were categorized in the lowest

Table 2. Description of screening pathways for sediment.

[Abbreviations: AL, aquatic life; >, greater than; <, less than]

TierPathway number

Pathway description

1 P1 Measured in >10 percent of samples in sediment datasets.1 P2 Measured in 1 to 10 percent of samples in sediment datasets; high toxicity to AL; and

current use, or recent use and soil half-life >1 year.1 P3 Measured in 1 to 10 percent of samples in sediment datasets; low or unknown toxicity to

AL; and high or increasing use.1 P4 Predicted occurrence (persistent and hydrophobic or immobile); high toxicity to AL; and

current use, or recent use and soil half-life >1 year.1 P5 Predicted occurrence (persistent and hydrophobic or immobile); low or unknown

toxicity to AL; and high or increasing use.1 OF1 Compound elevated to Tier 1 from lower Tier because of other factors.1 DEG1 Pesticide degradate placed in Tier 1 with parent because of lack of information to

evaluate on its own.2 P6a Measured in 1 to 10 percent of samples in sediment datasets; high toxicity to AL; no

longer in use, soil half-life <1 year, and low-detection frequency (<5 percent).2 P6b Measured in 1 to 10 percent of samples in sediment datasets; low or unknown toxicity to

AL; use is not high or increasing.2 P8a Predicted occurrence (persistent and hydrophobic or immobile); high toxicity to AL; no

longer in use and soil half-life <1 year.2 P8b Predicted occurrence (persistent and hydrophobic or immobile); low or unknown

toxicity to AL; use is not high or increasing.2 OF2 Compound elevated to Tier 2 from Tier 3 or downgraded from Tier 1 to Tier 2 because

of other factors.2 DEG2 Pesticide degradate placed in Tier 2 with parent because of lack of information to

evaluate on its own.3 P9 Measured in <1 percent of samples in sediment datasets.3 P10 Predicted occurrence (persistent, but not hydrophobic); mobile.3 P10* Predicted occurrence (persistence unknown, but not hydrophobic); mobile.3 P11 Predicted occurrence (not persistent).3 OF3 Compound downgraded to Tier 3 because of other factors.3 DEG3 Pesticide degradate placed in Tier 3 with parent because of lack of information to

evaluate on its own.

Page 29: Prioritizing Pesticide Compounds for Analytical Methods

Methods 15

priority group, Tier 3, by pathway P9 (fig. 3 and table 2), unless subsequently elevated by other factors. Compounds of moderate occurrence, with a detection frequency of 1 to 10 percent, were further screened for (1) exceedance of sedi-ment benchmarks for aquatic life, when available, or potential toxicity to aquatic life; (2) pesticide use, both agricultural and non-agricultural; and (3) other factors to place them into Tier 1 or 2. These factors used in the screening process are further described in the subsections that follow. Pesticide compounds in the low end of the moderate occurrence range (for example, detection frequency of 1 to 4 percent) were placed in Tier 2 if physical-chemical properties indicated they were unlikely to be present in sediments.

Predicted Likelihood of Occurrence in SedimentPesticide and degradate compounds were evaluated for

predicted likelihood of occurrence in sediments on the basis of three parameters: (1) stability, (2) hydrophobicity, and (3) tendency to sorb to sediment organic matter despite a low log Kow (fig. 3). The specific physical-chemical properties and thresholds used to evaluate these parameters are summarized in table 3. The sources and selection of physical-chemical property data were described earlier in the “Methods” section under the subheading “Physical-Chemical Properties,” and the specific values and sources used for the sediment evaluation are tabulated in appendix 1.

Pesticide compounds that are both stable and hydro-phobic, or stable with a high tendency to sorb to soil organic matter, as defined by the thresholds in table 3, were further evaluated for potential toxicity to aquatic life and pesticide use (described in the following sections) in the same manner as the compounds with moderate measured detection frequency (fig. 3). Pesticide compounds that did not meet the stability criterion were placed in Tier 3 by pathway P11 (fig. 3 and table 2), and compounds that did not meet at least one of the

criteria for hydrophobicity or sorption to organic matter were placed in Tier 3 by pathway P10 (fig. 3 and table 2) on the basis that both persistence and hydrophobicity, or sorption, are needed for a compound to accumulate in sediment.

Aquatic ToxicityPesticide compounds with moderate measured detection

frequency, 1 to 10 percent, were evaluated for potential aquatic toxicity by considering (1) whether measured concentra-tions exceeded sediment benchmarks, if available, and (2) AL Toxicity Bins (fig. 3). A pesticide compound was considered to have high aquatic toxicity if it met one or both of the fol-lowing criteria: (1) more than 5 percent of samples exceeded the upper screening value sediment benchmark, or (2) the pesticide was in AL Toxicity Bins 1 or 2. These thresholds and criteria were consistent with those used for the evaluation of other, non-pesticide, lipophilic organics in sediment (Lisa D. Olsen, U.S. Geological Survey, written commun., 2010).

Pesticide compounds that were predicted to occur in sedi-ment (that is, met thresholds for stability and either hydro-phobicity or soil sorption) also were considered to have high aquatic toxicity if they were in AL Toxicity Bins 1 or 2 (fig. 3). Compounds with high or low aquatic toxicity were further evaluated for pesticide use and other criteria for placement in Tier 1 or 2, as described in the following section.

Pesticide Use and Additional Screening CriteriaCompounds with high aquatic toxicity were placed in

Tier 1 (pathway P2 or P4, fig. 3 and table 2), unless they are no longer in use, have a soil half-life of less than a year, and, for compounds with measured occurrence data, were detected fairly infrequently, that is, in the 1–4 percent range, in which case they were placed in Tier 2 by pathways P6a or P8a (fig. 3 and table 2).

Table 3. Physical-chemical properties and thresholds used to predict likelihood for occurrence in sediments.

[Abbreviations: Koc, soil organic carbon-water partition coefficient; Kow, octanol-water partitioning coefficient; mL/g, milliliters per gram; mg/L, milligrams per liter; <, less than; >, greater than; –, none]

ParameterPhysical-chemical property

(units or value)Threshold Notes

Stability Aerobic soil degradation half-life (days) >30 Highest lab or field value.orPersistence score (1, 2, or 3) >1 Limited usage for compounds

lacking half-life values.

Hydrophobicity log Kow >3 –orWater solubility (mg/L) <1 –

Sorption to organic matter Koc (mL/g) >1,000 –

Page 30: Prioritizing Pesticide Compounds for Analytical Methods

16 Prioritizing Pesticide Compounds for Analytical Methods Development

Compounds with low aquatic toxicity, that is, in AL Toxicity Bin 3 or having no toxicity information available, were placed in Tier 2 by pathways P6b or P8b (fig. 3 and table 2), unless they had high (top 10 percent of compounds in use volume) or increasing pesticide use. These use criteria for compounds with low aquatic toxicity only applied to two pesticide compounds that were classified as Tier 1 by pathway P5 (fig. 3 and table 2). Conceptually, the flow chart allows for compounds with moderate detection frequency that meet these criteria to be placed in Tier 1 by pathway P3 (fig. 3 and table 2); however, in this study, no compounds met all of these criteria.

Other FactorsPriorities of other agencies or organizations were consid-

ered in the screening approach as “other factors” by which a compound could be elevated from a lower Tier (fig. 3). These priorities include the following:

• Presence on the AAPCO, SFIREG State List of Pesticides of Water Quality Concern (Association of American Pesticide Control Officials, 2005).

• Presence on the USEPA’s Toxics Release Inventory Persistent Bioaccumulative and Toxic list (U.S. Envi-ronmental Protection Agency, 2009f).

• Presence on the USEPA Great Lakes Initiative list of bioaccumulative chemicals of concern in the Great Lakes (U.S. Environmental Protection Agency, 2000b).

• Presence on the USEPA list of High Production Volume chemicals (U.S. Environmental Protection Agency, 2005).

Additional factors elevated the priority of some pesticides that were not expected to be very persistent in sediments, especially those that are very toxic. Factors such as high pesticide use, or use in both agricultural and non-agricultural settings, were considered for compounds that are moderately hydrophobic (log Kow >2.8) but not very persistent. Such compounds can exhibit prolonged, semi-continuous, or steady-state, concentrations in sediments due to high or frequent usage, yet according to the predicted occurrence thresholds in the screening (fig. 3), they would fall into Tier 3. Further, some compounds that were detected very infrequently (less than 1 percent), but are persistent and hydrophobic according to the predicted occurrence thresholds, were elevated from Tier 3. In contrast, some compounds were downgraded in priority because of other factors, such as those with moder-ate measured detection frequency of less than 5 percent in sediment that are not persistent or hydrophobic according to the predicted occurrence thresholds, have low use, and are not expected to occur widely. These extenuating factors that ele-vate or downgrade compounds between Tiers are represented by pathways OF1, OF2, and OF3 in figure 3 and table 2.

Pesticide DegradatesPesticide degradates that could not be evaluated by the

screening procedure because of lack of data were placed in the same tier as their parent compound by pathways DEG1, DEG2, or DEG3 (fig. 3 and table 2). Degradates that were evaluated on the basis of their own data and that were catego-rized in a lower tier than their parent compound (for example, were not predicted to be persistent and hydrophobic) also were re-evaluated to determine if other factors indicated that they should be elevated to the same tier as their parent compound.

Results and DiscussionThe evaluation of pesticide compounds for analyti-

cal methods development priority resulted in classification of compounds into three priority tiers each for water and sediment. The results for water and sediment are presented separately.

Water

Priority Pesticide Compounds for WaterOf the 619 pesticide compounds evaluated, a total of 247

(40 percent) were placed in Tier 1 and are high priority for inclusion in analytical methods available for monitoring and studies. About three-quarters of these, or 184 compounds, are presently included in some USGS analytical method; how-ever, many of these compounds are analyzed by one of several research methods that are expensive and for which there are few data on environmental samples. The large number of analytical methods involved to cover all Tier 1 compounds, the high individual costs of operation, and the various stages of development, make cost-effective application of all the methods impractical. The remaining quarter, or 63 compounds, of which 25 are degradates, are not currently analyzed by USGS laboratories and are high priority as new analytes. The objective for development of analytical methods is to design an integrated analytical strategy that includes as many of the Tier 1 pesticide compounds as possible in a few, relatively cost-effective methods. The Tier 1 compounds are listed in table 4, along with their respective reasons for high-priority status. Table 4 also includes selected Tier 2 compounds that have regulatory relevance for drinking water (that is, they have USEPA MCLs or are on the CCL3). Depending on program objectives, the regulatory status of these Tier 2 compounds potentially elevates their priority, such that they could be included in analytical methods if space and analytical compatibility allow.

Page 31: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 17

Tabl

e 4.

Ti

er 1

and

sel

ecte

d Ti

er 2

pes

ticid

es a

nd d

egra

date

s in

wat

er, a

nd re

ason

s fo

r tie

r pla

cem

ent.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Abb

revi

atio

ns:

AG

, agr

icul

tura

l; A

L, a

quat

ic-li

fe; B

Q, b

ench

mar

k qu

otie

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

); D

EG, d

egra

date

of T

ier 1

par

ent p

estic

ide;

DF,

det

ectio

n fr

e-qu

ency

; GW

, gro

undw

ater

; HH

, hum

an-h

ealth

; MC

L, M

axim

um C

onta

min

ant L

evel

(USE

PA);

Mea

s, m

easu

red

conc

entra

tion;

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s (U

SEPA

); Pr

ed, p

redi

cted

co

ncen

tratio

n; S

W, s

urfa

ce w

ater

; UR

, urb

an; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pa

rent

pe

stic

ide

(if d

egra

date

)

Chem

ical

cl

ass

Nat

iona

l ag

ricu

ltura

l pe

stic

ide

use

(200

7)

(in p

ound

s)

On

a U

SGS

an

alyt

ical

m

etho

d fo

r w

ater

?

1 B

Q re

ason

fo

r Tie

r 1D

F re

ason

fo

r Tie

r 1

Oth

er o

r re

gula

tory

re

ason

for

Tier

Tier

11,

3-D

icar

bam

oyl-2

,4,5

,6-te

trach

loro

-be

nzen

eN

AVD

egra

date

Chl

orot

halo

nil

Poly

chlo

rinat

ed

arom

atic

de

grad

ate

–Ye

s–

–D

EG

1,3-

Dic

hlor

opro

pene

542-

75-6

Fum

igan

t–

Hal

ogen

ated

or

gani

c29

,194

,056

Yes

AL,

Pre

d SW

; H

H, P

red

SW;

HH

, Pre

d G

W

––

1-C

arba

moy

l-3-c

yano

-4-h

ydro

xy-

2,5,

6-tri

chlo

robe

nzen

eN

AVD

egra

date

Chl

orot

halo

nil

Poly

chlo

rinat

ed

arom

atic

de

grad

ate

–Ye

s–

–D

EG

1-N

apht

hol

90-1

5-3

Deg

rada

teC

arba

ryl,

napr

opam

ide

Phen

ol–

Yes

–SW

–UR

2-(4

-tert

-but

ylph

enox

y)-

Cyc

lohe

xano

l19

42-7

1-8

Deg

rada

tePr

opar

gite

Alip

hatic

alc

ohol

–N

o–

SW–A

G–

2,4-

D

(2,4

-Dic

hlor

ophe

noxy

ace

tic a

cid)

94-7

5-7

Her

bici

de–

Chl

orop

heno

xy

acid

27,4

36,8

79Ye

sA

L, P

red

SW;

HH

, Pre

d SW

; A

L, M

eas S

W;

HH

, Mea

s SW

SW–A

G;

SW–U

R–

2,4-

D m

ethy

l est

er19

28-3

8-7

Her

bici

de–

Chl

orop

heno

xy

acid

est

er–

Yes

–SW

–AG

2,6-

Die

thyl

anili

ne57

9-66

-8D

egra

date

Ala

chlo

rA

nilin

e–

Yes

––

DEG

2-[(

2-Et

hyl-6

-met

hylp

heny

l)am

ino]

-1-

prop

anol

6152

0-53

-4D

egra

date

Met

olac

hlor

Ani

line

–N

o–

–D

EG

2-A

min

o-N

-isop

ropy

lben

zam

ide

3039

1-89

-0D

egra

date

Ben

tazo

nA

mid

e–

No

AL,

Pre

d SW

––

2-C

hlor

o-2,

6-di

ethy

lace

tani

lide

6967

-29-

9D

egra

date

Ala

chlo

rA

ceta

nilid

e

degr

adat

e–

Yes

––

DEG

2-C

hlor

o-N

-(2-

ethy

l-6-

m

ethy

lphe

nyl)a

ceta

mid

e

(Ace

toch

lor/M

etol

achl

or,

seco

ndar

y am

ide)

3242

8-71

-0D

egra

date

Ace

toch

lor,

m

etol

achl

orC

hlor

oace

tani

lide

degr

adat

e–

Yes

––

DEG

2-Et

hyl-6

-met

hyla

nilin

e24

549-

06-2

Deg

rada

teM

etol

achl

orA

nilin

e–

Yes

AL,

Pre

d SW

––

Tabl

e 4.

Ti

er 1

and

sel

ecte

d Ti

er 2

pes

ticid

es a

nd d

egra

date

s in

wat

er, a

nd re

ason

s fo

r tie

r pla

cem

ent.

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Abb

revi

atio

ns:

AG

, agr

icul

tura

l; A

L, a

quat

ic-li

fe; B

Q, b

ench

mar

k qu

otie

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

); D

EG, d

egra

date

of T

ier 1

par

ent p

estic

ide;

DF,

det

ectio

n fr

e-qu

ency

; GW

, gro

undw

ater

; HH

, hum

an-h

ealth

; MC

L, M

axim

um C

onta

min

ant L

evel

(USE

PA);

Mea

s, m

easu

red

conc

entra

tion;

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s (U

SEPA

); Pr

ed, p

redi

cted

co

ncen

tratio

n; S

W, s

urfa

ce w

ater

; UR

, urb

an; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Page 32: Prioritizing Pesticide Compounds for Analytical Methods

18 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4.

Tier

1 a

nd s

elec

ted

Tier

2 p

estic

ides

and

deg

rada

tes

in w

ater

, and

reas

ons

for t

ier p

lace

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

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ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Abb

revi

atio

ns:

AG

, agr

icul

tura

l; A

L, a

quat

ic-li

fe; B

Q, b

ench

mar

k qu

otie

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

); D

EG, d

egra

date

of T

ier 1

par

ent p

estic

ide;

DF,

det

ectio

n fr

e-qu

ency

; GW

, gro

undw

ater

; HH

, hum

an-h

ealth

; MC

L, M

axim

um C

onta

min

ant L

evel

(USE

PA);

Mea

s, m

easu

red

conc

entra

tion;

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s (U

SEPA

); Pr

ed, p

redi

cted

co

ncen

tratio

n; S

W, s

urfa

ce w

ater

; UR

, urb

an; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pa

rent

pe

stic

ide

(if d

egra

date

)

Chem

ical

cl

ass

Nat

iona

l ag

ricu

ltura

l pe

stic

ide

use

(200

7)

(in p

ound

s)

On

a U

SGS

an

alyt

ical

m

etho

d fo

r w

ater

?

1 B

Q re

ason

fo

r Tie

r 1D

F re

ason

fo

r Tie

r 1

Oth

er o

r re

gula

tory

re

ason

for

Tier

Tier

1–C

ontin

ued

2-H

ydro

xyat

razi

ne21

63-6

8-0

Deg

rada

teA

trazi

neTr

iazi

ne–

Yes

HH

, Pre

d SW

SW–A

G;

SW–U

R;

GW

–AG

; G

W–U

R

3-(T

rifluo

rom

ethy

l)ani

line

98-1

6-8

Deg

rada

teFl

uom

etur

onA

nilin

e–

Yes

––

DEG

3-(T

rifluo

rom

ethy

l)phe

nylu

rea

1311

4-87

-9D

egra

date

Fluo

met

uron

Phen

ylur

ea–

Yes

––

DEG

3,4-

Dic

hlor

oani

line

95-7

6-1

Deg

rada

teD

iuro

nA

nilin

e–

Yes

AL,

Pre

d SW

SW–A

G;

SW–U

R–

3,4-

Dic

hlor

omet

hyph

enyl

urea

3567

-62-

2D

egra

date

Diu

ron

Ure

a–

Yes

AL,

Pre

d SW

––

3,4-

Dic

hlor

ophe

nylu

rea

2327

-02-

8D

egra

date

Diu

ron

Ure

a–

Yes

AL,

Pre

d SW

––

3,5-

Dic

hlor

oani

line

626-

43-7

Deg

rada

teIp

rodi

one

Ani

line

–Ye

sA

L, P

red

SW–

–3-

Hyd

roxy

carb

ofur

an16

655-

82-6

Deg

rada

teC

arbo

fura

nC

arba

mat

e–

Yes

––

DEG

3-K

etoc

arbo

fura

n16

709-

30-1

Deg

rada

teC

arbo

fura

nC

arba

mat

e–

No

––

DEG

3-Ph

enox

yben

zoic

aci

d37

39-3

8-6

Deg

rada

teC

yper

met

hrin

(a

nd o

ther

py

reth

roid

s)

Ben

zoic

aci

d–

No

––

DEG

4-(H

ydro

xym

ethy

l)pen

dim

etha

lin56

750-

76-6

Deg

rada

tePe

ndim

etha

linD

initr

oani

line

–N

o–

–D

EG4,

4′-D

ichl

orob

enzo

phen

one

90-9

8-2

Deg

rada

teD

DT,

di

cofo

lO

rgan

ochl

orin

e–

No

––

DEG

4-C

hlor

o-2-

met

hylp

heno

l15

70-6

4-5

Deg

rada

teM

CPA

Chl

orin

ated

ph

enol

–Ye

s–

SW–U

R–

4-C

hlor

oben

zylm

ethy

l sul

fone

98-5

7-7

Deg

rada

teTh

iobe

ncar

bTh

ioca

rbam

ate

degr

adat

e–

sulfo

ne

–N

o–

–D

EG

4-H

ydro

xy-2

,5,6

-tric

hlor

o is

opht

halo

nitri

leN

AVD

egra

date

Chl

orot

halo

nil

Poly

chlo

rinat

ed

arom

atic

deg

-ra

date

–Ye

s–

–D

EG

Ace

phat

e30

560-

19-1

Inse

ctic

ide

–O

rgan

opho

spha

te3,

467,

587

No

AL,

Pre

d SW

––

Ace

toch

lor

3425

6-82

-1H

erbi

cide

–C

hlor

oace

tani

lide

30,4

71,5

62Ye

sA

L, P

red

SW;

HH

, Pre

d SW

; A

L, M

eas S

W;

HH

, Mea

s SW

; H

H, P

red

GW

SW–A

G–

Page 33: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 19

Tabl

e 4.

Ti

er 1

and

sel

ecte

d Ti

er 2

pes

ticid

es a

nd d

egra

date

s in

wat

er, a

nd re

ason

s fo

r tie

r pla

cem

ent.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Abb

revi

atio

ns:

AG

, agr

icul

tura

l; A

L, a

quat

ic-li

fe; B

Q, b

ench

mar

k qu

otie

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

); D

EG, d

egra

date

of T

ier 1

par

ent p

estic

ide;

DF,

det

ectio

n fr

e-qu

ency

; GW

, gro

undw

ater

; HH

, hum

an-h

ealth

; MC

L, M

axim

um C

onta

min

ant L

evel

(USE

PA);

Mea

s, m

easu

red

conc

entra

tion;

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s (U

SEPA

); Pr

ed, p

redi

cted

co

ncen

tratio

n; S

W, s

urfa

ce w

ater

; UR

, urb

an; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pa

rent

pe

stic

ide

(if d

egra

date

)

Chem

ical

cl

ass

Nat

iona

l ag

ricu

ltura

l pe

stic

ide

use

(200

7)

(in p

ound

s)

On

a U

SGS

an

alyt

ical

m

etho

d fo

r w

ater

?

1 B

Q re

ason

fo

r Tie

r 1D

F re

ason

fo

r Tie

r 1

Oth

er o

r re

gula

tory

re

ason

for

Tier

Tier

1–C

ontin

ued

Ace

toch

lor e

than

e su

lfoni

c ac

id

(ESA

)18

7022

-11-

3D

egra

date

Ace

toch

lor

Ace

tani

lide

de

grad

ate–

su

lfoni

c ac

id

–Ye

s–

SW–A

G–

Ace

toch

lor o

xani

lic a

cid

(OA

)18

4992

-44-

4D

egra

date

Ace

toch

lor

Ace

tani

lide

de

grad

ate–

O

A

–Ye

s–

SW–A

G–

Ace

toch

lor s

ulfy

nila

cetic

aci

d (S

AA

)N

AVD

egra

date

Ace

toch

lor

Ace

tani

lide

de

grad

ate–

su

lfyni

lace

tic

acid

–Ye

s–

SW–A

G–

Ace

toch

lor/M

etol

achl

or E

SA,

seco

ndar

y am

ide

NAV

Deg

rada

teA

ceto

chlo

r,

met

olac

hlor

Ace

tani

lide

de

grad

ate–

su

lfoni

c ac

id

seco

ndar

y am

ide

–Ye

s–

W

–AG

Ala

chlo

r15

972-

60-8

Her

bici

de–

Chl

oroa

ceta

nilid

e1,

923,

064

Yes

AL,

Pre

d SW

; H

H, P

red

SW;

AL,

Mea

s SW

; H

H, M

eas S

W

SW–A

G–

Ala

chlo

r ESA

, sec

onda

ry a

mid

eN

AVD

egra

date

Ala

chlo

rC

hlor

oace

tani

lide

degr

adat

e–

Yes

––

DEG

Ala

chlo

r ESA

1423

63-5

3-9

Deg

rada

teA

lach

lor

Ace

tani

lide

de

grad

ate–

su

lfoni

c ac

id

–Ye

s–

SW–A

G;

GW

–AG

; G

W–U

R

Ala

chlo

r OA

1712

62-1

7-2

Deg

rada

teA

lach

lor

Ace

tani

lide

de

grad

ate–

O

A

–Ye

s–

SW–A

G–

Ala

chlo

r SA

A14

0939

-16-

8D

egra

date

Ala

chlo

rC

hlor

oace

tani

lide

degr

adat

e–

Yes

––

DEG

Ald

icar

b11

6-06

-3In

sect

icid

e–

Car

bam

ate

3,92

6,76

1Ye

sA

L, P

red

SW;

HH

, Pre

d SW

––

Page 34: Prioritizing Pesticide Compounds for Analytical Methods

20 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4.

Tier

1 a

nd s

elec

ted

Tier

2 p

estic

ides

and

deg

rada

tes

in w

ater

, and

reas

ons

for t

ier p

lace

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Abb

revi

atio

ns:

AG

, agr

icul

tura

l; A

L, a

quat

ic-li

fe; B

Q, b

ench

mar

k qu

otie

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

); D

EG, d

egra

date

of T

ier 1

par

ent p

estic

ide;

DF,

det

ectio

n fr

e-qu

ency

; GW

, gro

undw

ater

; HH

, hum

an-h

ealth

; MC

L, M

axim

um C

onta

min

ant L

evel

(USE

PA);

Mea

s, m

easu

red

conc

entra

tion;

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s (U

SEPA

); Pr

ed, p

redi

cted

co

ncen

tratio

n; S

W, s

urfa

ce w

ater

; UR

, urb

an; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pa

rent

pe

stic

ide

(if d

egra

date

)

Chem

ical

cl

ass

Nat

iona

l ag

ricu

ltura

l pe

stic

ide

use

(200

7)

(in p

ound

s)

On

a U

SGS

an

alyt

ical

m

etho

d fo

r w

ater

?

1 B

Q re

ason

fo

r Tie

r 1D

F re

ason

fo

r Tie

r 1

Oth

er o

r re

gula

tory

re

ason

for

Tier

Tier

1–C

ontin

ued

Ald

icar

b su

lfone

1646

-88-

4D

egra

date

Ald

icar

bC

arba

mat

e

degr

adat

e–

sulfo

ne

–Ye

sH

H, P

red

SW–

Ald

icar

b su

lfoxi

de16

46-8

7-3

Deg

rada

teA

ldic

arb

Car

bam

ate

de

grad

ate

– su

lfoxi

de

–Ye

sA

L, P

red

SW;

HH

, Pre

d SW

; A

L, M

eas S

W

––

alph

a-H

CH

(alp

ha-H

exac

hlor

ocyc

lohe

xane

)31

9-84

-6In

sect

icid

e m

ixtu

re

com

pone

nt,

by-p

rodu

ct,

degr

adat

e

gam

ma-

HC

H

(and

oth

er

HC

H is

o-m

ers)

Org

anoc

hlor

ine

–Ye

sH

H, P

red

SW–

Am

etry

n83

4-12

-8H

erbi

cide

–Tr

iazi

ne20

9,83

4Ye

sA

L, P

red

SW–

–A

min

omet

hylp

hosp

honi

c ac

id10

66-5

1-9

Deg

rada

teG

lyph

osat

eD

egra

date

of

amin

o ac

id

deriv

ativ

e

–Ye

s–

SW–A

G;

SW–U

R–

Asu

lam

3337

-71-

1H

erbi

cide

–C

arba

mat

e60

2,89

8N

oA

L, P

red

SW–

–A

trazi

ne19

12-2

4-9

Her

bici

de–

Tria

zine

74,7

79,4

92Ye

sA

L, P

red

SW;

HH

, Pre

d SW

; A

L, M

eas S

W;

HH

, Mea

s SW

; H

H, P

red

GW

; H

H, M

eas G

W

SW–A

G;

SW–U

R;

GW

–AG

Azi

npho

s-m

ethy

l86

-50-

0In

sect

icid

e–

Org

anop

hosp

hate

680,

052

Yes

AL,

Pre

d SW

; A

L, M

eas S

W–

Azi

npho

s-m

ethy

l-oxo

n96

1-22

-8D

egra

date

Azi

npho

s m

ethy

lO

rgan

othi

o-

phos

phat

e–

Yes

––

DEG

Azo

xyst

robi

n13

1860

-33-

8Fu

ngic

ide

–St

robi

n75

1,75

7Ye

sA

L, P

red

SW–

–B

enflu

ralin

1861

-40-

1H

erbi

cide

–D

initr

oani

line

64,5

60Ye

sH

H, P

red

GW

––

Ben

omyl

1780

4-35

-2Fu

ngic

ide

–B

enzi

mid

azol

e2,

894

Yes

AL,

Pre

d SW

SW–A

G;

SW–U

R–

Ben

tazo

n25

057-

89-0

Her

bici

de–

N–h

eter

ocyc

le,

thia

diaz

ine

974,

909

Yes

–SW

–AG

Page 35: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 21

Tabl

e 4.

Ti

er 1

and

sel

ecte

d Ti

er 2

pes

ticid

es a

nd d

egra

date

s in

wat

er, a

nd re

ason

s fo

r tie

r pla

cem

ent.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Abb

revi

atio

ns:

AG

, agr

icul

tura

l; A

L, a

quat

ic-li

fe; B

Q, b

ench

mar

k qu

otie

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

); D

EG, d

egra

date

of T

ier 1

par

ent p

estic

ide;

DF,

det

ectio

n fr

e-qu

ency

; GW

, gro

undw

ater

; HH

, hum

an-h

ealth

; MC

L, M

axim

um C

onta

min

ant L

evel

(USE

PA);

Mea

s, m

easu

red

conc

entra

tion;

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s (U

SEPA

); Pr

ed, p

redi

cted

co

ncen

tratio

n; S

W, s

urfa

ce w

ater

; UR

, urb

an; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pa

rent

pe

stic

ide

(if d

egra

date

)

Chem

ical

cl

ass

Nat

iona

l ag

ricu

ltura

l pe

stic

ide

use

(200

7)

(in p

ound

s)

On

a U

SGS

an

alyt

ical

m

etho

d fo

r w

ater

?

1 B

Q re

ason

fo

r Tie

r 1D

F re

ason

fo

r Tie

r 1

Oth

er o

r re

gula

tory

re

ason

for

Tier

Tier

1–C

ontin

ued

beta

-HC

H31

9-85

-7In

sect

icid

e m

ixtu

re

com

pone

nt,

by-p

rodu

ct,

degr

adat

e

gam

ma-

HC

H

(and

oth

er

HC

H is

omer

s)

Org

anoc

hlor

ine

–N

oH

H, P

red

SW–

Bife

naza

te14

9877

-41-

8In

sect

icid

e–

NAV

133,

908

No

AL,

Pre

d SW

––

Bife

nthr

in82

657-

04-3

Inse

ctic

ide

–Py

reth

roid

201,

291

Yes

AL,

Pre

d SW

––

Bro

mac

il31

4-40

-9H

erbi

cide

–U

raci

l31

2,78

2Ye

sA

L, P

red

SW;

AL,

Mea

s SW

; H

H, M

eas G

W

––

Bro

mom

etha

ne74

-83-

9Fu

mig

ant/

adju

vant

–H

alog

enat

ed

orga

nic

12,8

81,2

46Ye

sA

L, P

red

SW–

Bro

mox

ynil

1689

-84-

5H

erbi

cide

–N

itrile

1,93

9,55

8Ye

sA

L, M

eas S

W–

–B

utra

lin33

629-

47-9

Her

bici

de–

Din

itroa

nilin

e27

,490

No

AL,

Pre

d SW

––

Car

bary

l63

-25-

2In

sect

icid

e–

Car

bam

ate

1,05

5,99

1Ye

sA

L, P

red

SW;

AL,

Mea

s SW

; H

H, M

eas S

W

SW–A

G;

SW–U

R–

Car

bofu

ran

1563

-66-

2In

sect

icid

e–

Car

bam

ate

460,

844

Yes

AL,

Pre

d SW

; A

L, M

eas S

W;

HH

, Mea

s SW

SW–A

G–

Chl

orim

uron

-eth

yl90

982-

32-4

Her

bici

de–

Sulfo

nylu

rea

60,6

66Ye

s–

SW–A

G–

Chl

orop

icrin

76-0

6-2

Fum

igan

t/

nem

atoc

ide

–N

AV9,

912,

427

No

AL,

Pre

d SW

––

Chl

orot

halo

nil

1897

-45-

6Fu

ngic

ide

–Po

lych

lorin

ated

ar

omat

ic8,

024,

737

Yes

AL,

Pre

d SW

; H

H, P

red

SW;

AL,

Mea

s SW

––

Chl

orpy

rifos

2921

-88-

2In

sect

icid

e–

Org

anot

hio-

ph

osph

ate

7,52

1,29

2Ye

sA

L, P

red

SW;

HH

, Pre

d SW

; A

L, M

eas S

W;

HH

, Mea

s SW

SW–A

G;

SW–U

R–

Chl

orpy

rifos

oxy

gen

anal

og55

98-1

5-2

Deg

rada

teC

hlor

pyrif

osO

rgan

opho

spha

te–

Yes

AL,

Pre

d SW

––

Page 36: Prioritizing Pesticide Compounds for Analytical Methods

22 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4.

Tier

1 a

nd s

elec

ted

Tier

2 p

estic

ides

and

deg

rada

tes

in w

ater

, and

reas

ons

for t

ier p

lace

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Abb

revi

atio

ns:

AG

, agr

icul

tura

l; A

L, a

quat

ic-li

fe; B

Q, b

ench

mar

k qu

otie

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

); D

EG, d

egra

date

of T

ier 1

par

ent p

estic

ide;

DF,

det

ectio

n fr

e-qu

ency

; GW

, gro

undw

ater

; HH

, hum

an-h

ealth

; MC

L, M

axim

um C

onta

min

ant L

evel

(USE

PA);

Mea

s, m

easu

red

conc

entra

tion;

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s (U

SEPA

); Pr

ed, p

redi

cted

co

ncen

tratio

n; S

W, s

urfa

ce w

ater

; UR

, urb

an; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pa

rent

pe

stic

ide

(if d

egra

date

)

Chem

ical

cl

ass

Nat

iona

l ag

ricu

ltura

l pe

stic

ide

use

(200

7)

(in p

ound

s)

On

a U

SGS

an

alyt

ical

m

etho

d fo

r w

ater

?

1 B

Q re

ason

fo

r Tie

r 1D

F re

ason

fo

r Tie

r 1

Oth

er o

r re

gula

tory

re

ason

for

Tier

Tier

1–C

ontin

ued

Chl

orsu

lfuro

n64

902-

72-3

Her

bici

de–

Sulfo

nylu

rea

79,8

69N

oA

L, P

red

SW–

–ci

s-M

ethy

l-3-(

2,2-

dich

loro

viny

l)-

2,2-

dim

ethy

l-(1-

cycl

opro

pane

)-ca

rbox

ylat

e

c618

98-9

5-1

Deg

rada

teC

yflut

hrin

Alip

hatic

ac

id e

ster

–N

o–

–D

EG

cis-

Perm

ethr

in61

949-

76-6

Inse

ctic

ide

–Py

reth

roid

–Ye

sA

L, M

eas S

W–

–ci

s-Pr

opic

onaz

ole

c602

07-9

0-1

Fung

icid

e–

Con

azol

e–

Yes

–SW

–AG

; SW

–UR

Cop

per

7440

-50-

8Fu

ngic

ide

–In

orga

nic

1,09

2,51

6Ye

sA

L, P

red

SW–

–C

yana

zine

2172

5-46

-2H

erbi

cide

–Tr

iazi

ne19

5Ye

sA

L, M

eas S

W;

HH

, Mea

s SW

SW–A

G–

Cya

nazi

ne a

cid

NAV

Deg

rada

teC

yana

zine

Tria

zine

–Ye

s–

–D

EGC

yana

zine

am

ide

NAV

Deg

rada

teC

yana

zine

Tria

zine

–Ye

s–

SW–A

G–

Cyfl

uthr

in68

359-

37-5

Inse

ctic

ide

–Py

reth

roid

119,

554

Yes

AL,

Pre

d SW

––

Cyh

alot

hrin

(lam

bda-

Cyh

alot

hrin

)91

465-

08-6

Inse

ctic

ide

–Py

reth

roid

251,

159

Yes

AL,

Pre

d SW

––

gam

ma-

Cyh

alot

hrin

276

703-

62-3

Inse

ctic

ide

–Py

reth

roid

5,11

5N

osa

me

as

Cyh

alot

hrin

––

Cyp

erm

ethr

in52

315-

07-8

Inse

ctic

ide

–Py

reth

roid

76,4

79Ye

sA

L, P

red

SW–

– ze

ta-C

yper

met

hrin

269

865-

47-0

Inse

ctic

ide

–Py

reth

roid

101,

250

No

sam

e as

C

yper

-met

hrin

––

Dac

thal

1861

-32-

1H

erbi

cide

–C

hlor

oben

zoic

ac

id e

ster

494,

247

Yes

HH

, Mea

s SW

SW–A

G;

SW–U

R–

Dac

thal

mon

oaci

d88

7-54

-7D

egra

date

Dac

thal

Chl

orob

enzo

ic

acid

est

er–

Yes

––

DEG

Dec

hlor

oace

toch

lor

NAV

Deg

rada

teA

ceto

chlo

rC

hlor

oace

tani

lide

degr

adat

e–

Yes

––

DEG

Dec

hlor

oala

chlo

rN

AVD

egra

date

Ala

chlo

rC

hlor

oace

tani

lide

degr

adat

e–

Yes

––

DEG

Dec

hlor

odim

ethe

nam

idN

AVD

egra

date

Dim

ethe

nam

idA

mid

e de

grad

ate

–Ye

s–

–D

EGD

echl

orom

etol

achl

orN

AVD

egra

date

Met

olac

hlor

Chl

oroa

ceta

nilid

e de

grad

ate

–Ye

s–

–D

EG

Page 37: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 23

Tabl

e 4.

Ti

er 1

and

sel

ecte

d Ti

er 2

pes

ticid

es a

nd d

egra

date

s in

wat

er, a

nd re

ason

s fo

r tie

r pla

cem

ent.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Abb

revi

atio

ns:

AG

, agr

icul

tura

l; A

L, a

quat

ic-li

fe; B

Q, b

ench

mar

k qu

otie

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

); D

EG, d

egra

date

of T

ier 1

par

ent p

estic

ide;

DF,

det

ectio

n fr

e-qu

ency

; GW

, gro

undw

ater

; HH

, hum

an-h

ealth

; MC

L, M

axim

um C

onta

min

ant L

evel

(USE

PA);

Mea

s, m

easu

red

conc

entra

tion;

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s (U

SEPA

); Pr

ed, p

redi

cted

co

ncen

tratio

n; S

W, s

urfa

ce w

ater

; UR

, urb

an; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pa

rent

pe

stic

ide

(if d

egra

date

)

Chem

ical

cl

ass

Nat

iona

l ag

ricu

ltura

l pe

stic

ide

use

(200

7)

(in p

ound

s)

On

a U

SGS

an

alyt

ical

m

etho

d fo

r w

ater

?

1 B

Q re

ason

fo

r Tie

r 1D

F re

ason

fo

r Tie

r 1

Oth

er o

r re

gula

tory

re

ason

for

Tier

Tier

1–C

ontin

ued

Dee

thyl

atra

zine

6190

-65-

4D

egra

date

Atra

zine

Tria

zine

–Ye

sA

L, P

red

SW;

HH

, Pre

d SW

; H

H, M

eas S

W;

HH

, Mea

s GW

SW–A

G;

SW–U

R;

GW

–AG

; G

W–U

R

Dee

thyl

cyan

azin

eN

AVD

egra

date

Cya

nazi

neTr

iazi

ne–

Yes

––

DEG

Dee

thyl

cyan

azin

e ac

idN

AVD

egra

date

Cya

nazi

neTr

iazi

ne–

Yes

––

DEG

Dee

thyl

cyan

azin

e am

ide

NAV

Deg

rada

teC

yana

zine

Tria

zine

–Ye

s–

–D

EGD

eeth

ylhy

drox

yatra

zine

NAV

Deg

rada

teA

trazi

neTr

iazi

ne–

Yes

HH

, Pre

d SW

––

Dei

sopr

opyl

pro

met

ryn

NAV

Deg

rada

tePr

omet

ryn

Tria

zine

–Ye

s–

–D

EGD

eiso

prop

ylat

razi

ne10

07-2

8-9

Deg

rada

teA

trazi

neTr

iazi

ne–

Yes

HH

, Pre

d SW

SW–A

G;

SW–U

R;

GW

–AG

; G

W–U

R

Dei

sopr

opyl

hydr

oxya

trazi

ne73

13-5

4-4

Deg

rada

teA

trazi

neTr

iazi

ne–

Yes

AL,

Pre

d SW

; A

L, M

eas S

W–

delta

-HC

H31

9-86

-8In

sect

icid

e m

ixtu

re

com

pone

nt,

by-p

rodu

ct,

degr

adat

e

gam

ma-

HC

H

(and

oth

er H

CH

is

omer

s)

Org

anoc

hlor

ine

–N

o–

–D

EG

Del

tam

ethr

in52

918-

63-5

Inse

ctic

ide

–Py

reth

roid

2,83

5Ye

sA

L, P

red

SW–

–D

emet

hyl fl

uom

etur

onN

AVD

egra

date

Fluo

met

uron

Ure

a–

Yes

–SW

–AG

; G

W–A

G–

Dem

ethy

l nor

flura

zon

NAV

Deg

rada

teN

orflu

razo

nPy

ridaz

inon

e–

Yes

–SW

–AG

; G

W–A

G–

Des

ulfin

ylfip

roni

l (M

B46

513)

NAV

Deg

rada

teFi

pron

ilPh

enyl

pyra

zole

de

grad

ate

–Ye

s–

SW–A

G;

SW–U

R–

Des

ulfin

ylfip

roni

l am

ide

(RPA

10

5048

)N

AVD

egra

date

Fipr

onil

Phen

ylpy

razo

le

degr

adat

e–

Yes

–SW

–UR

Dia

zino

n33

3-41

-5In

sect

icid

e–

Org

anot

hio-

ph

osph

ate

639,

789

Yes

AL,

Pre

d SW

; H

H, P

red

SW;

AL,

Mea

s SW

; H

H, M

eas S

W

SW–A

G;

SW–U

R–

Page 38: Prioritizing Pesticide Compounds for Analytical Methods

24 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4.

Tier

1 a

nd s

elec

ted

Tier

2 p

estic

ides

and

deg

rada

tes

in w

ater

, and

reas

ons

for t

ier p

lace

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Abb

revi

atio

ns:

AG

, agr

icul

tura

l; A

L, a

quat

ic-li

fe; B

Q, b

ench

mar

k qu

otie

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

); D

EG, d

egra

date

of T

ier 1

par

ent p

estic

ide;

DF,

det

ectio

n fr

e-qu

ency

; GW

, gro

undw

ater

; HH

, hum

an-h

ealth

; MC

L, M

axim

um C

onta

min

ant L

evel

(USE

PA);

Mea

s, m

easu

red

conc

entra

tion;

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s (U

SEPA

); Pr

ed, p

redi

cted

co

ncen

tratio

n; S

W, s

urfa

ce w

ater

; UR

, urb

an; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pa

rent

pe

stic

ide

(if d

egra

date

)

Chem

ical

cl

ass

Nat

iona

l ag

ricu

ltura

l pe

stic

ide

use

(200

7)

(in p

ound

s)

On

a U

SGS

an

alyt

ical

m

etho

d fo

r w

ater

?

1 B

Q re

ason

fo

r Tie

r 1D

F re

ason

fo

r Tie

r 1

Oth

er o

r re

gula

tory

re

ason

for

Tier

Tier

1–C

ontin

ued

Dia

zino

n ox

ygen

ana

log

962-

58-3

Deg

rada

teD

iazi

non

Org

anop

hosp

hate

–Ye

s–

–D

EGD

icam

ba19

18-0

0-9

Her

bici

de–

Chl

orob

enzo

ic

acid

2,65

8,25

9Ye

sA

L, P

red

SW–

Dic

hlob

enil

1194

-65-

6H

erbi

cide

–N

itrile

1,29

3N

oH

H, P

red

GW

––

Dic

hlor

vos

62-7

3-7

Inse

ctic

ide/

fu

mig

ant/

de

grad

ate

Nal

edO

rgan

opho

spha

te–

Yes

––

DEG

Dic

ofol

311

5-32

-2In

sect

icid

e–

Org

anoc

hlor

ine

59,4

61N

oA

L, P

red

SW–

–D

icro

toph

os14

1-66

-2In

sect

icid

e–

Org

anop

hosp

hate

1,23

3,97

6Ye

sA

L, P

red

SW;

HH

, Pre

d SW

; H

H, P

red

GW

––

Did

ealk

ylat

razi

ne33

97-6

2-4

Deg

rada

teA

trazi

neTr

iazi

ne–

Yes

–SW

–AG

; SW

–UR

; G

W–A

G;

GW

–UR

;

Die

ldrin

60-5

7-1

Inse

ctic

ide

–O

rgan

ochl

orin

e–

Yes

AL,

Mea

s SW

; H

H, M

eas S

W;

HH

, Mea

s GW

––

Difl

uben

zuro

n35

367-

38-5

Inse

ctic

ide

–B

enzo

ylur

ea54

,483

No

AL,

Pre

d SW

––

Difl

ufen

zopy

r10

9293

-97-

2H

erbi

cide

–U

rea

98,3

62N

oA

L, P

red

SW–

–D

imet

hena

mid

8767

4-68

-8H

erbi

cide

–A

mid

e2,

807,

048

Yes

–SW

–AG

–D

imet

hena

mid

ESA

NAV

Deg

rada

teD

imet

hena

mid

Am

ide

degr

adat

e–su

lfoni

c ac

id–

Yes

–SW

–AG

Dim

ethe

nam

id O

AN

AVD

egra

date

Dim

ethe

nam

idA

mid

e de

grad

ate–

OA

–Ye

s–

–D

EG

Dim

ethe

nam

id-P

1635

15-1

4-8

Her

bici

de–

Am

ide

1,82

6,28

8N

oA

L, P

red

SW–

–D

imet

hoat

e60

-51-

5In

sect

icid

e–

Org

anot

hio-

ph

osph

ate

721,

316

Yes

AL,

Pre

d SW

; H

H, P

red

SW–

Diq

uat

85-0

0-7

Her

bici

de–

Bip

yrid

yliu

m14

9,78

6N

oA

L, P

red

SW–

–D

isul

foto

n29

8-04

-4In

sect

icid

e–

Org

anot

hio-

ph

osph

ate

46,1

51Ye

sA

L, P

red

SW;

HH

, Pre

d SW

; A

L, M

eas S

W

––

Page 39: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 25

Tabl

e 4.

Ti

er 1

and

sel

ecte

d Ti

er 2

pes

ticid

es a

nd d

egra

date

s in

wat

er, a

nd re

ason

s fo

r tie

r pla

cem

ent.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Abb

revi

atio

ns:

AG

, agr

icul

tura

l; A

L, a

quat

ic-li

fe; B

Q, b

ench

mar

k qu

otie

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

); D

EG, d

egra

date

of T

ier 1

par

ent p

estic

ide;

DF,

det

ectio

n fr

e-qu

ency

; GW

, gro

undw

ater

; HH

, hum

an-h

ealth

; MC

L, M

axim

um C

onta

min

ant L

evel

(USE

PA);

Mea

s, m

easu

red

conc

entra

tion;

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s (U

SEPA

); Pr

ed, p

redi

cted

co

ncen

tratio

n; S

W, s

urfa

ce w

ater

; UR

, urb

an; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pa

rent

pe

stic

ide

(if d

egra

date

)

Chem

ical

cl

ass

Nat

iona

l ag

ricu

ltura

l pe

stic

ide

use

(200

7)

(in p

ound

s)

On

a U

SGS

an

alyt

ical

m

etho

d fo

r w

ater

?

1 B

Q re

ason

fo

r Tie

r 1D

F re

ason

fo

r Tie

r 1

Oth

er o

r re

gula

tory

re

ason

for

Tier

Tier

1–C

ontin

ued

Dis

ulfo

ton

sulfo

ne24

97-0

6-5

Deg

rada

teD

isul

foto

nO

rgan

othi

o-

phos

phat

e–

Yes

AL,

Pre

d SW

––

Dis

ulfo

ton

sulfo

xide

2497

-07-

6D

egra

date

Dis

ulfo

ton

Org

anot

hio-

ph

osph

ate

–N

oA

L, P

red

SW–

Diu

ron

330-

54-1

Her

bici

de–

Ure

a2,

996,

333

Yes

AL,

Pre

d SW

; H

H, P

red

SW;

AL,

Mea

s SW

; H

H, M

eas S

W;

HH

, Mea

s GW

SW–A

G;

SW–U

R;

GW

–UR

Endo

sulfa

n11

5-29

-7In

sect

icid

e–

Org

anoc

hlor

ine

369,

905

Yes

AL,

Pre

d SW

––

alph

a-En

dosu

lfan

295

9-98

-8In

sect

icid

e–

Org

anoc

hlor

ine

–Ye

ssa

me

as

Endo

sulfa

n–

beta

-End

osul

fan

233

213-

65-9

Inse

ctic

ide

–O

rgan

ochl

orin

e–

Yes

sam

e as

En

dosu

lfan

––

Endo

sulfa

n et

her

3369

-52-

6D

egra

date

Endo

sulfa

nO

rgan

ochl

orin

e–

No

––

DEG

Endo

sulfa

n su

lfate

1031

-07-

8D

egra

date

Endo

sulfa

nO

rgan

ochl

orin

e–

Yes

AL,

Pre

d SW

––

Endo

thal

l 414

5-73

-3H

erbi

cide

–D

icar

boxy

lic

acid

3,51

4N

oA

L, P

red

SW–

EPTC (S

-Eth

yl d

ipro

pylth

ioca

rbam

ate)

759-

94-4

Her

bici

de–

Thio

carb

amat

e1,

936,

651

Yes

–SW

–AG

Esfe

nval

erat

e66

230-

04-4

Inse

ctic

ide

–Py

reth

roid

157,

969

Yes

AL,

Pre

d SW

––

Etha

lflur

alin

5528

3-68

-6H

erbi

cide

–D

initr

oani

line

1,25

1,21

5Ye

sA

L, P

red

SW;

AL,

Mea

s SW

––

Etho

prop

1319

4-48

-4In

sect

icid

e–

Org

anot

hio-

ph

osph

ate

419,

088

Yes

AL,

Pre

d SW

; H

H, P

red

SW;

AL,

Mea

s SW

; H

H, M

eas S

W

––

Etox

azol

e15

3233

-91-

1In

sect

icid

e–

Dip

heny

l ox

azol

ine

19,1

31N

oA

L, P

red

SW–

Fam

oxad

one

1318

07-5

7-3

Fung

icid

e–

Oxa

zolid

ined

ione

31

,006

Yes

AL,

Pre

d SW

––

Fena

mip

hos

2222

4-92

-6In

sect

icid

e–

Org

anop

hosp

hate

72,0

35Ye

sA

L, P

red

SW–

–Fe

nam

ipho

s sul

fone

3197

2-44

-8D

egra

date

Fena

mip

hos

Org

anop

hosp

hate

–Ye

s–

–D

EG

Page 40: Prioritizing Pesticide Compounds for Analytical Methods

26 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4.

Tier

1 a

nd s

elec

ted

Tier

2 p

estic

ides

and

deg

rada

tes

in w

ater

, and

reas

ons

for t

ier p

lace

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Abb

revi

atio

ns:

AG

, agr

icul

tura

l; A

L, a

quat

ic-li

fe; B

Q, b

ench

mar

k qu

otie

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

); D

EG, d

egra

date

of T

ier 1

par

ent p

estic

ide;

DF,

det

ectio

n fr

e-qu

ency

; GW

, gro

undw

ater

; HH

, hum

an-h

ealth

; MC

L, M

axim

um C

onta

min

ant L

evel

(USE

PA);

Mea

s, m

easu

red

conc

entra

tion;

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s (U

SEPA

); Pr

ed, p

redi

cted

co

ncen

tratio

n; S

W, s

urfa

ce w

ater

; UR

, urb

an; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pa

rent

pe

stic

ide

(if d

egra

date

)

Chem

ical

cl

ass

Nat

iona

l ag

ricu

ltura

l pe

stic

ide

use

(200

7)

(in p

ound

s)

On

a U

SGS

an

alyt

ical

m

etho

d fo

r w

ater

?

1 B

Q re

ason

fo

r Tie

r 1D

F re

ason

fo

r Tie

r 1

Oth

er o

r re

gula

tory

re

ason

for

Tier

Tier

1–C

ontin

ued

Fena

mip

hos s

ulfo

xide

3197

2-43

-7D

egra

date

Fena

mip

hos

Org

anop

hosp

hate

–Ye

sA

L, P

red

SW–

–Fe

nbut

atin

oxi

de13

356-

08-6

Inse

ctic

ide

–O

rgan

otin

167,

625

No

AL,

Pre

d SW

––

Fenp

ropa

thrin

3951

5-41

-8In

sect

icid

e–

Pyre

thro

id11

9,46

7Ye

sA

L, P

red

SW–

–Fe

ntin

hyd

roxi

de (T

PTH

, Tr

iphe

nylti

n hy

drox

ide)

76-8

7-9

Fung

icid

e/

mol

lusc

icid

e/

herb

icid

e

–O

rgan

otin

270,

550

No

AL,

Pre

d SW

––

Fipr

onil

1200

68-3

7-3

Inse

ctic

ide

–Ph

enyl

pyra

zole

56,6

34Ye

sA

L, P

red

SWSW

–AG

; SW

–UR

Fipr

onil

sulfi

de12

0067

-83-

6D

egra

date

Fipr

onil

Phen

ylpy

razo

le

degr

adat

e–

Yes

–SW

–AG

; SW

–UR

Fipr

onil

sulfo

ne12

0068

-36-

2D

egra

date

Fipr

onil

Phen

ylpy

razo

le

degr

adat

e–

Yes

–SW

–AG

; SW

–UR

Flum

etsu

lam

9896

7-40

-9H

erbi

cide

–Su

lfony

lure

a12

7,34

0Ye

s–

SW–A

G–

Flum

iclo

rac 5

8754

6-18

-7H

erbi

cide

–Ph

thal

imid

e17

,649

No

AL,

Pre

d SW

––

Fluo

met

uron

2164

-17-

2H

erbi

cide

–U

rea

504,

361

Yes

AL,

Pre

d SW

; H

H, P

red

SW;

AL,

Mea

s SW

; H

H, M

eas S

W

SW–A

G–

Fono

fos

944-

22-9

Inse

ctic

ide

–O

rgan

othi

o-

phos

phat

e0

Yes

AL,

Mea

s SW

––

Fono

fos o

xyge

n an

alog

944-

21-8

Deg

rada

teFo

nofo

sO

rgan

othi

o-

phos

phat

e–

No

––

DEG

Form

etan

ate

hydr

ochl

orid

e23

422-

53-9

Inse

ctic

ide

–C

arba

mat

e87

,580

No

AL,

Pre

d SW

––

gam

ma-

HC

H58

-89-

9In

sect

icid

e–

Org

anoc

hlor

ine

4,59

3Ye

sA

L, P

red

SW;

HH

, Pre

d SW

; A

L, M

eas S

W;

HH

, Pre

d G

W

––

Gly

phos

ate

1071

-83-

6H

erbi

cide

–A

min

o ac

id

deriv

ativ

e18

0,07

5,00

0Ye

s–

SW–A

G;

SW–U

R–

Hal

osul

furo

n-m

ethy

l10

0784

-20-

1H

erbi

cide

–Su

lfony

lure

a28

,675

No

AL,

Pre

d SW

––

Hex

azin

one

5123

5-04

-2H

erbi

cide

–Tr

iazi

nedi

one

287,

895

Yes

AL,

Pre

d SW

SW–A

G–

Hyd

roxy

acet

ochl

or60

090-

47-3

Deg

rada

teA

ceto

chlo

rC

hlor

oace

tani

lide

degr

adat

e–

Yes

––

DEG

Page 41: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 27

Tabl

e 4.

Ti

er 1

and

sel

ecte

d Ti

er 2

pes

ticid

es a

nd d

egra

date

s in

wat

er, a

nd re

ason

s fo

r tie

r pla

cem

ent.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Abb

revi

atio

ns:

AG

, agr

icul

tura

l; A

L, a

quat

ic-li

fe; B

Q, b

ench

mar

k qu

otie

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

); D

EG, d

egra

date

of T

ier 1

par

ent p

estic

ide;

DF,

det

ectio

n fr

e-qu

ency

; GW

, gro

undw

ater

; HH

, hum

an-h

ealth

; MC

L, M

axim

um C

onta

min

ant L

evel

(USE

PA);

Mea

s, m

easu

red

conc

entra

tion;

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s (U

SEPA

); Pr

ed, p

redi

cted

co

ncen

tratio

n; S

W, s

urfa

ce w

ater

; UR

, urb

an; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pa

rent

pe

stic

ide

(if d

egra

date

)

Chem

ical

cl

ass

Nat

iona

l ag

ricu

ltura

l pe

stic

ide

use

(200

7)

(in p

ound

s)

On

a U

SGS

an

alyt

ical

m

etho

d fo

r w

ater

?

1 B

Q re

ason

fo

r Tie

r 1D

F re

ason

fo

r Tie

r 1

Oth

er o

r re

gula

tory

re

ason

for

Tier

Tier

1–C

ontin

ued

Hyd

roxy

alac

hlor

NAV

Deg

rada

teA

lach

lor

Chl

oroa

ceta

nilid

e de

grad

ate

–Ye

s–

–D

EG

Hyd

roxy

dim

etha

nam

idN

AVD

egra

date

Dim

ethe

nam

idA

mid

e de

grad

ate

–Ye

s–

–D

EGH

ydro

xym

etol

achl

or13

1068

-72-

9D

egra

date

Met

olac

hlor

Chl

oroa

ceta

nilid

e de

grad

ate

–Ye

s–

SW–A

G–

Hyd

roxy

sim

azin

e25

99-1

1-3

Deg

rada

teSi

maz

ine

Tria

zine

–Ye

s–

–D

EGIm

azam

ox11

4311

-32-

9H

erbi

cide

–Im

idaz

olin

one

58,0

14N

oA

L, P

red

SW–

–Im

azaq

uin

8133

5-37

-7H

erbi

cide

–Im

idaz

olin

one

41,3

70Ye

s–

SW–A

G;

SW–U

R–

Imaz

etha

pyr

8133

5-77

-5H

erbi

cide

–Im

idaz

olin

one

206,

700

Yes

–SW

–AG

–Im

idac

lopr

id13

8261

-41-

3In

sect

icid

e–

Neo

nico

tinoi

d45

0,44

9Ye

sA

L, P

red

SW–

–In

doxa

carb

1735

84-4

4-6

Inse

ctic

ide

–O

xadi

azin

e 46

,967

No

AL,

Pre

d SW

––

Ipro

dion

e36

734-

19-7

Fung

icid

e–

Dic

arbo

xim

ide

500,

834

Yes

HH

, Pre

d SW

––

Isox

aflut

ole

1411

12-2

9-0

Her

bici

de–

Isox

azol

e22

5,07

1Ye

sA

L, P

red

SW–

–K

reso

xim

-met

hyl

1433

90-8

9-0

Fung

icid

e–

Stro

bin

27,6

90Ye

sA

L, P

red

SW–

–Li

nuro

n33

0-55

-2H

erbi

cide

–U

rea

318,

944

Yes

AL,

Pre

d SW

; A

L, M

eas S

W–

Mal

aoxo

n16

34-7

8-2

Deg

rada

teM

alat

hion

Org

anot

hio-

ph

osph

ate

–Ye

sA

L, P

red

SW–

Mal

athi

on12

1-75

-5In

sect

icid

e–

Org

anot

hio-

ph

osph

ate

949,

590

Yes

AL,

Mea

s SW

SW–U

R–

Man

eb12

427-

38-2

Fung

icid

e–

Dith

ioca

rbam

ate

2,32

6,67

5N

oA

L, P

red

SW–

–M

BC

(Car

bend

azim

)10

605-

21-7

Deg

rada

teTh

ioph

anat

e m

ethy

lB

enzi

mid

azol

e–

No

AL,

Pre

d SW

––

MC

PA(2

-Met

hyl-4

-chl

orop

heno

xyac

etic

ac

id)

94-7

4-6

Her

bici

de–

Chl

orop

heno

xy

acid

2,96

7,71

5Ye

sA

L, P

red

SW;

HH

, Pre

d SW

SW–U

R–

Met

alax

yl57

837-

19-1

Fung

icid

e–

Subs

titut

ed

dim

ethy

l an

iline

4,83

4Ye

s–

SW–A

G–

Page 42: Prioritizing Pesticide Compounds for Analytical Methods

28 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4.

Tier

1 a

nd s

elec

ted

Tier

2 p

estic

ides

and

deg

rada

tes

in w

ater

, and

reas

ons

for t

ier p

lace

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Abb

revi

atio

ns:

AG

, agr

icul

tura

l; A

L, a

quat

ic-li

fe; B

Q, b

ench

mar

k qu

otie

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

); D

EG, d

egra

date

of T

ier 1

par

ent p

estic

ide;

DF,

det

ectio

n fr

e-qu

ency

; GW

, gro

undw

ater

; HH

, hum

an-h

ealth

; MC

L, M

axim

um C

onta

min

ant L

evel

(USE

PA);

Mea

s, m

easu

red

conc

entra

tion;

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s (U

SEPA

); Pr

ed, p

redi

cted

co

ncen

tratio

n; S

W, s

urfa

ce w

ater

; UR

, urb

an; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pa

rent

pe

stic

ide

(if d

egra

date

)

Chem

ical

cl

ass

Nat

iona

l ag

ricu

ltura

l pe

stic

ide

use

(200

7)

(in p

ound

s)

On

a U

SGS

an

alyt

ical

m

etho

d fo

r w

ater

?

1 B

Q re

ason

fo

r Tie

r 1D

F re

ason

fo

r Tie

r 1

Oth

er o

r re

gula

tory

re

ason

for

Tier

Tier

1–C

ontin

ued

Met

am so

dium

137-

42-8

Fum

igan

t/

herb

icid

e/

fung

icid

e/

mic

robi

ocid

e/

alga

ecid

e

–D

ithio

carb

amat

e53

,197

,744

No

AL,

Pre

d SW

––

Met

cona

zole

1251

16-2

3-6

Fung

icid

e–

Con

azol

e1,

189

Yes

AL,

Pre

d SW

––

Met

ham

idop

hos

1026

5-92

-6In

sect

icid

e–

Org

anot

hio-

ph

osph

ate

157,

672

No

AL,

Pre

d SW

––

Met

hida

thio

n95

0-37

-8In

sect

icid

e–

Org

anot

hio-

ph

osph

ate

29,1

75Ye

sA

L, P

red

SW;

HH

, Pre

d SW

––

Met

hom

yl16

752-

77-5

Inse

ctic

ide

–C

arba

mat

e82

7,44

9Ye

sA

L, P

red

SW;

AL,

Mea

s SW

––

Met

hom

yl-o

xim

e13

749-

94-5

Deg

rada

teM

etho

myl

Car

bam

ate

de

grad

ate–

ox

ime

–N

o–

–D

EG

Met

hoxy

chlo

r72

-43-

5In

sect

icid

e–

Org

anoc

hlor

ine

4,21

0N

oA

L, P

red

SW–

–M

etho

xyfe

nozi

de16

1050

-58-

4In

sect

icid

e–

Dia

cylh

ydra

zine

21

5,54

0N

oA

L, P

red

SW–

–M

etol

achl

or51

218-

45-2

Her

bici

de–

Chl

oroa

ceta

nilid

e1,

511,

992

Yes

AL,

Pre

d SW

; A

L, M

eas S

WSW

–AG

; SW

–UR

; G

W–A

G

Met

olac

hlor

ESA

1711

18-0

9-5

Deg

rada

teM

etol

achl

orA

ceta

nilid

e

degr

adat

e–

sulfo

nic

acid

–Ye

s–

SW–A

G;

GW

–AG

; G

W–U

R

Met

olac

hlor

OA

1520

19-7

3-3

Deg

rada

teM

etol

achl

orA

ceta

nilid

e

degr

adat

e–

oxan

ilic

acid

–Ye

s–

SW–A

G;

GW

–AG

; G

W–U

R

Met

ribuz

in21

087-

64-9

Her

bici

de–

Tria

zino

ne1,

373,

567

Yes

AL,

Pre

d SW

; H

H, P

red

SW;

AL,

Mea

s SW

SW–A

G–

Mol

inat

e22

12-6

7-1

Her

bici

de–

Thio

carb

amat

e42

4,05

1Ye

sH

H, P

red

SW;

AL,

Mea

s SW

; H

H, M

eas S

W

SW–A

G–

Myc

lobu

tani

l88

671-

89-0

Fung

icid

e–

Con

azol

e11

1,65

3Ye

s–

SW–U

R–

Page 43: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 29

Tabl

e 4.

Ti

er 1

and

sel

ecte

d Ti

er 2

pes

ticid

es a

nd d

egra

date

s in

wat

er, a

nd re

ason

s fo

r tie

r pla

cem

ent.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Abb

revi

atio

ns:

AG

, agr

icul

tura

l; A

L, a

quat

ic-li

fe; B

Q, b

ench

mar

k qu

otie

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

); D

EG, d

egra

date

of T

ier 1

par

ent p

estic

ide;

DF,

det

ectio

n fr

e-qu

ency

; GW

, gro

undw

ater

; HH

, hum

an-h

ealth

; MC

L, M

axim

um C

onta

min

ant L

evel

(USE

PA);

Mea

s, m

easu

red

conc

entra

tion;

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s (U

SEPA

); Pr

ed, p

redi

cted

co

ncen

tratio

n; S

W, s

urfa

ce w

ater

; UR

, urb

an; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pa

rent

pe

stic

ide

(if d

egra

date

)

Chem

ical

cl

ass

Nat

iona

l ag

ricu

ltura

l pe

stic

ide

use

(200

7)

(in p

ound

s)

On

a U

SGS

an

alyt

ical

m

etho

d fo

r w

ater

?

1 B

Q re

ason

fo

r Tie

r 1D

F re

ason

fo

r Tie

r 1

Oth

er o

r re

gula

tory

re

ason

for

Tier

Tier

1–C

ontin

ued

Nal

ed30

0-76

-5In

sect

icid

e–

Org

anop

hosp

hate

88,5

74N

oA

L, P

red

SW–

–N

icos

ulfu

ron

1119

91-0

9-4

Her

bici

de–

Sulfo

nylu

rea

103,

804

Yes

–SW

–AG

–N

orflu

razo

n27

314-

13-2

Her

bici

de–

Pyrid

azin

one

487,

515

Yes

AL,

Pre

d SW

; A

L, M

eas S

W;

HH

, Mea

s SW

; H

H, M

eas G

W

––

Nov

alur

on11

6714

-46-

6H

erbi

cide

–B

enzo

ylur

ea34

,523

No

AL,

Pre

d SW

––

O-E

thyl

-O-m

ethy

l-S-

prop

ylph

osph

orot

hioa

te76

960-

87-7

Deg

rada

teEt

hopr

opO

rgan

othi

o-ph

os-

phat

e–

No

––

DEG

Ory

zalin

1904

4-88

-3H

erbi

cide

–D

initr

oani

line

1,92

9,46

2Ye

sH

H, P

red

SW;

AL,

Mea

s SW

––

Oxa

myl

2313

5-22

-0In

sect

icid

e–

Car

bam

ate

815,

705

Yes

AL,

Pre

d SW

––

Oxa

myl

oxi

me

3055

8-43

-1D

egra

date

Oxa

myl

Car

bam

ate

de

grad

ate–

ox

ime

–N

oA

L, P

red

SW–

Oxy

fluor

fen

4287

4-03

-3H

erbi

cide

–D

iphe

nyl e

ther

1,15

4,91

4Ye

sA

L, P

red

SW–

–p,

pʹ-D

DE

(p,p

ʹ-Dic

hlor

odip

heny

l-di

chlo

roet

hyle

ne)

72-5

5-9

Deg

rada

tep,

pʹ-D

DT

Org

anoc

hlor

ine

–Ye

sA

L, M

eas S

W;

HH

, Mea

s SW

; H

H, M

eas G

W

––

Para

oxon

-met

hyl

950-

35-6

Deg

rada

tePa

rath

ion-

m

ethy

lO

rgan

othi

o-

phos

phat

e–

Yes

AL,

Pre

d SW

––

Para

quat

4685

-14-

7H

erbi

cide

–B

ipyr

idyl

ium

2,94

9,75

1N

oA

L, P

red

SW–

–Pa

rath

ion-

met

hyl

298-

00-0

Inse

ctic

ide

–O

rgan

othi

o-

phos

phat

e57

6,94

4Ye

sA

L, P

red

SW;

HH

, Pre

d SW

; A

L, M

eas S

W

––

Pend

imet

halin

4048

7-42

-1H

erbi

cide

–D

initr

oani

line

8,19

3,32

9Ye

sA

L, P

red

SW;

AL,

Mea

s SW

SW–U

R–

Perm

ethr

in52

645-

53-1

Inse

ctic

ide

–Py

reth

roid

287,

998

Yes

AL,

Pre

d SW

––

Phor

ate

298-

02-2

Inse

ctic

ide

–O

rgan

othi

o-

phos

phat

e1,

023,

804

Yes

AL,

Pre

d SW

; H

H, P

red

SW–

Phor

ate

oxon

2600

-69-

3D

egra

date

Phor

ate

Org

anot

hio-

ph

osph

ate

–Ye

s–

–D

EG

Page 44: Prioritizing Pesticide Compounds for Analytical Methods

30 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4.

Tier

1 a

nd s

elec

ted

Tier

2 p

estic

ides

and

deg

rada

tes

in w

ater

, and

reas

ons

for t

ier p

lace

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Abb

revi

atio

ns:

AG

, agr

icul

tura

l; A

L, a

quat

ic-li

fe; B

Q, b

ench

mar

k qu

otie

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

); D

EG, d

egra

date

of T

ier 1

par

ent p

estic

ide;

DF,

det

ectio

n fr

e-qu

ency

; GW

, gro

undw

ater

; HH

, hum

an-h

ealth

; MC

L, M

axim

um C

onta

min

ant L

evel

(USE

PA);

Mea

s, m

easu

red

conc

entra

tion;

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s (U

SEPA

); Pr

ed, p

redi

cted

co

ncen

tratio

n; S

W, s

urfa

ce w

ater

; UR

, urb

an; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pa

rent

pe

stic

ide

(if d

egra

date

)

Chem

ical

cl

ass

Nat

iona

l ag

ricu

ltura

l pe

stic

ide

use

(200

7)

(in p

ound

s)

On

a U

SGS

an

alyt

ical

m

etho

d fo

r w

ater

?

1 B

Q re

ason

fo

r Tie

r 1D

F re

ason

fo

r Tie

r 1

Oth

er o

r re

gula

tory

re

ason

for

Tier

Tier

1–C

ontin

ued

Phos

met

732-

11-6

Inse

ctic

ide

–O

rgan

othi

o-

phos

phat

e1,

230,

014

Yes

AL,

Pre

d SW

––

Phos

met

oxo

n37

35-3

3-9

Deg

rada

tePh

osm

etO

rgan

othi

o-ph

osph

ate

–Ye

s–

–D

EG

Pipe

rony

l but

oxid

e51

-03-

6Sy

nerg

ist

–N

AV38

,808

Yes

AL,

Pre

d SW

––

Prof

enof

os41

198-

08-7

Inse

ctic

ide

–O

rgan

othi

o-

phos

phat

e21

,737

No

AL,

Pre

d SW

; H

H, P

red

SW;

HH

, Pre

d G

W

––

Prom

eton

1610

-18-

0H

erbi

cide

–Tr

iazi

ne0

Yes

AL,

Mea

s SW

SW–A

G;

SW–U

R;

GW

–AG

; G

W–U

R

Prom

etry

n72

87-1

9-6

Her

bici

de–

Tria

zine

629,

255

Yes

AL,

Pre

d SW

SW–A

G–

Pron

amid

e23

950-

58-5

Her

bici

de–

Am

ide

230,

075

Yes

HH

, Pre

d SW

; H

H, M

eas S

W–

Prop

anil

709-

98-8

Her

bici

de–

Ace

tani

lide

5,46

8,30

2Ye

sA

L, P

red

SW;

HH

, Pre

d SW

; A

L, M

eas S

W

––

Prop

argi

te23

12-3

5-8

Inse

ctic

ide

–Su

lfite

est

er1,

129,

078

Yes

HH

, Pre

d SW

; A

L, M

eas S

W;

HH

, Mea

s SW

––

Prop

azin

e13

9-40

-2H

erbi

cide

–Tr

iazi

ne70

,014

Yes

–SW

–AG

–Pr

opic

onaz

ole

6020

7-90

-1Fu

ngic

ide

–C

onaz

ole

751,

207

Yes

AL,

Pre

d SW

––

Prop

oxur

114-

26-1

Inse

ctic

ide

–C

arba

mat

e0

Yes

AL,

Mea

s SW

––

Pros

ulfu

ron

9412

5-34

-5H

erbi

cide

–Su

lfony

lure

a16

,968

No

AL,

Pre

d SW

––

Pym

etro

zine

1233

12-8

9-0

Inse

ctic

ide

–Py

ridin

e

azom

ethi

nes

8,15

2N

oA

L, P

red

SW–

Pyra

clos

trobi

n17

5013

-18-

0Fu

ngic

ide

–St

robi

n1,

430,

693

Yes

AL,

Pre

d SW

––

Pyre

thrin

s80

03-3

4-7

Inse

ctic

ide

–B

otan

ical

6,37

8N

oA

L, P

red

SW–

–Py

ridab

en96

489-

71-3

Inse

ctic

ide

–Py

ridaz

inon

e17

,377

No

AL,

Pre

d SW

––

RPA

202

248

1437

01-7

5-1

Deg

rada

teIs

oxafl

utol

eIs

oxaz

ole

de

grad

ate

–N

o–

–D

EG

Page 45: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 31

Tabl

e 4.

Ti

er 1

and

sel

ecte

d Ti

er 2

pes

ticid

es a

nd d

egra

date

s in

wat

er, a

nd re

ason

s fo

r tie

r pla

cem

ent.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Abb

revi

atio

ns:

AG

, agr

icul

tura

l; A

L, a

quat

ic-li

fe; B

Q, b

ench

mar

k qu

otie

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

); D

EG, d

egra

date

of T

ier 1

par

ent p

estic

ide;

DF,

det

ectio

n fr

e-qu

ency

; GW

, gro

undw

ater

; HH

, hum

an-h

ealth

; MC

L, M

axim

um C

onta

min

ant L

evel

(USE

PA);

Mea

s, m

easu

red

conc

entra

tion;

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s (U

SEPA

); Pr

ed, p

redi

cted

co

ncen

tratio

n; S

W, s

urfa

ce w

ater

; UR

, urb

an; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pa

rent

pe

stic

ide

(if d

egra

date

)

Chem

ical

cl

ass

Nat

iona

l ag

ricu

ltura

l pe

stic

ide

use

(200

7)

(in p

ound

s)

On

a U

SGS

an

alyt

ical

m

etho

d fo

r w

ater

?

1 B

Q re

ason

fo

r Tie

r 1D

F re

ason

fo

r Tie

r 1

Oth

er o

r re

gula

tory

re

ason

for

Tier

Tier

1–C

ontin

ued

RPA

203

328

1429

94-0

6-7

Deg

rada

teIs

oxafl

utol

eIs

oxaz

ole

de

grad

ate

–N

o–

–D

EG

Sidu

ron

1982

-49-

6H

erbi

cide

–U

rea

–Ye

s–

SW–U

R–

Sim

azin

e12

2-34

-9H

erbi

cide

–Tr

iazi

ne6,

307,

887

Yes

AL,

Pre

d SW

; H

H, P

red

SW;

AL,

Mea

s SW

; H

H, M

eas S

W;

HH

, Mea

s GW

SW–A

G;

SW–U

R;

GW

–AG

G

W–U

R

S-M

etol

achl

or87

392-

12-9

Her

bici

de–

Chl

oroa

ceta

nilid

e32

,089

,113

Yes

AL,

Pre

d SW

––

Sulfo

met

uron

-met

hyl

7422

2-97

-2H

erbi

cide

–Su

lfony

lure

a0

Yes

–SW

–UR

–Su

lfosu

lfuro

n14

1776

-32-

1H

erbi

cide

–Su

lfony

lure

a18

,398

No

AL,

Pre

d SW

––

TCPS

A(T

richl

orop

rope

ne su

lfoni

c ac

id)

6560

0-62

-6D

egra

date

Tria

llate

Sulfo

nic

ac

id e

ster

–N

o–

–D

EG

Tebu

cona

zole

10

7534

-96-

3Fu

ngic

ide

–C

onaz

ole

473,

347

Yes

–SW

–UR

–Te

bupi

rimfo

s96

182-

53-5

Inse

ctic

ide

–O

rgan

othi

o-

phos

phat

e45

5,31

6N

oA

L, P

red

SW–

Tebu

pirim

fos o

xyge

n an

alog

ueN

AVD

egra

date

Tebu

pirim

phos

Org

anop

hosp

hate

–N

o–

–D

EGTe

buth

iuro

n34

014-

18-1

Her

bici

de–

Ure

a2,

324

Yes

AL,

Mea

s SW

SW–A

G;

SW–U

R–

Teflu

thrin

7953

8-32

-2In

sect

icid

e–

Pyre

thro

id46

9,69

6Ye

sA

L, P

red

SW–

–Te

fluth

rin m

etab

olite

[R 1

1936

4]N

AVD

egra

date

Teflu

thrin

Pyre

thro

id–

No

––

DEG

Teflu

thrin

met

abol

ite [R

152

912]

NAV

Deg

rada

teTe

fluth

rinPy

reth

roid

–N

o–

–D

EGTe

rbac

il59

02-5

1-2

Her

bici

de–

Ura

cil

44,9

83Ye

sA

L, P

red

SW–

–Te

rbuf

os13

071-

79-9

Inse

ctic

ide

–O

rgan

othi

o-

phos

phat

e81

1,75

5Ye

sA

L, P

red

SW;

HH

, Pre

d SW

; H

H, P

red

GW

––

Terb

ufos

sulfo

ne56

070-

16-7

Deg

rada

teTe

rbuf

osO

rgan

othi

o-

phos

phat

e–

Yes

AL,

Pre

d SW

––

Terb

ufos

-O-a

nalo

gue

sulfo

ne56

070-

15-6

Deg

rada

teTe

rbuf

osO

rgan

othi

o-

phos

phat

e–

Yes

––

DEG

Terb

uthy

lazi

ne59

15-4

1-3

Her

bici

de–

Tria

zine

–Ye

s–

SW–U

R–

Tetra

cona

zole

1122

81-7

7-3

Fung

icid

e–

Con

azol

e80

,011

Yes

AL,

Pre

d SW

––

Page 46: Prioritizing Pesticide Compounds for Analytical Methods

32 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4.

Tier

1 a

nd s

elec

ted

Tier

2 p

estic

ides

and

deg

rada

tes

in w

ater

, and

reas

ons

for t

ier p

lace

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Abb

revi

atio

ns:

AG

, agr

icul

tura

l; A

L, a

quat

ic-li

fe; B

Q, b

ench

mar

k qu

otie

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

); D

EG, d

egra

date

of T

ier 1

par

ent p

estic

ide;

DF,

det

ectio

n fr

e-qu

ency

; GW

, gro

undw

ater

; HH

, hum

an-h

ealth

; MC

L, M

axim

um C

onta

min

ant L

evel

(USE

PA);

Mea

s, m

easu

red

conc

entra

tion;

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s (U

SEPA

); Pr

ed, p

redi

cted

co

ncen

tratio

n; S

W, s

urfa

ce w

ater

; UR

, urb

an; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pa

rent

pe

stic

ide

(if d

egra

date

)

Chem

ical

cl

ass

Nat

iona

l ag

ricu

ltura

l pe

stic

ide

use

(200

7)

(in p

ound

s)

On

a U

SGS

an

alyt

ical

m

etho

d fo

r w

ater

?

1 B

Q re

ason

fo

r Tie

r 1D

F re

ason

fo

r Tie

r 1

Oth

er o

r re

gula

tory

re

ason

for

Tier

Tier

1–C

ontin

ued

Thio

benc

arb

2824

9-77

-6H

erbi

cide

–Th

ioca

rbam

ate

449,

712

Yes

AL,

Pre

d SW

; A

L, M

eas S

W–

tran

s-M

ethy

l-3-(

2,2-

dich

loro

viny

l)-

2,2-

dim

ethy

l-(1-

cycl

opro

pane

)-ca

rbox

ylat

e

t618

98-9

5-1

Deg

rada

teC

yflut

hrin

Alip

hatic

ac

id e

ster

–N

o–

–D

EG

tran

s-Pr

opic

onaz

ole

t602

07-9

0-1

Fung

icid

e–

Con

azol

e–

Yes

–SW

–AG

; SW

–UR

Tria

llate

2303

-17-

5H

erbi

cide

–Th

ioca

rbam

ate

282,

642

Yes

AL,

Mea

s SW

––

Trib

enur

on-m

ethy

l10

1200

-48-

0H

erbi

cide

–Su

lfony

lure

a50

,079

No

HH

, Pre

d G

W–

–Tr

ibup

hos

78-4

8-8

Def

olia

nt–

Org

anot

hio-

ph

osph

ate

2,54

3,02

0Ye

sA

L, P

red

SW–

Tric

lopy

r55

335-

06-3

Her

bici

de–

Chl

orop

yrid

inyl

919,

495

Yes

AL,

Pre

d SW

; A

L, M

eas S

W–

Trifl

oxys

trobi

n14

1517

-21-

7Fu

ngic

ide

–St

robi

n20

8,44

6Ye

sA

L, P

red

SW–

–Tr

iflur

alin

1582

-09-

8H

erbi

cide

–D

initr

oani

line

5,63

8,38

0Ye

sA

L, P

red

SW;

AL,

Mea

s SW

SW–A

G;

SW–U

R–

Zira

m13

7-30

-4Fu

ngic

ide

–D

ithio

carb

amat

e,

inor

gani

c1,

835,

781

No

AL,

Pre

d SW

––

Tier

22,

4,5-

TP(2

-[2,

4,5-

Tric

hlor

ophe

noxy

] pr

opio

nic

acid

)

93-7

2-1

Her

bici

de–

Chl

orop

heno

xy

acid

–N

o–

–M

CL

Ben

sulid

e74

1-58

-2H

erbi

cide

–O

rgan

opho

s-ph

orou

s69

5,90

8N

o–

–C

CL3

Cap

tan

133-

06-2

Fung

icid

e–

Phth

alim

ide

2,47

8,91

7N

o–

–C

CL3

Chl

orda

ne57

-74-

9In

sect

icid

e–

Org

anoc

hlor

ine

–N

o–

–M

CL

Cle

thod

im99

129-

21-2

Her

bici

de–

Cyc

lohe

xano

ne

deriv

ativ

e27

9,05

5N

o–

–C

CL3

Dim

ethi

pin

5529

0-64

-7Pl

ant g

row

th

regu

lato

r/

defo

liant

–U

ncla

ssifi

ed6,

876

No

––

CC

L3

Din

oseb

88-8

5-7

Her

bici

de–

Nitr

ophe

nol

0Ye

s–

–M

CL

Page 47: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 33

Tabl

e 4.

Ti

er 1

and

sel

ecte

d Ti

er 2

pes

ticid

es a

nd d

egra

date

s in

wat

er, a

nd re

ason

s fo

r tie

r pla

cem

ent.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Abb

revi

atio

ns:

AG

, agr

icul

tura

l; A

L, a

quat

ic-li

fe; B

Q, b

ench

mar

k qu

otie

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

); D

EG, d

egra

date

of T

ier 1

par

ent p

estic

ide;

DF,

det

ectio

n fr

e-qu

ency

; GW

, gro

undw

ater

; HH

, hum

an-h

ealth

; MC

L, M

axim

um C

onta

min

ant L

evel

(USE

PA);

Mea

s, m

easu

red

conc

entra

tion;

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s (U

SEPA

); Pr

ed, p

redi

cted

co

ncen

tratio

n; S

W, s

urfa

ce w

ater

; UR

, urb

an; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pa

rent

pe

stic

ide

(if d

egra

date

)

Chem

ical

cl

ass

Nat

iona

l ag

ricu

ltura

l pe

stic

ide

use

(200

7)

(in p

ound

s)

On

a U

SGS

an

alyt

ical

m

etho

d fo

r w

ater

?

1 B

Q re

ason

fo

r Tie

r 1D

F re

ason

fo

r Tie

r 1

Oth

er o

r re

gula

tory

re

ason

for

Tier

Tier

2–C

ontin

ued

Endr

in72

-20-

8In

sect

icid

e/

avic

ide

–O

rgan

ochl

orin

e–

No

––

MC

L

Ethy

lene

thio

urea

(ETU

)96

-45-

7D

egra

date

Met

iram

Dith

ioca

rbam

ate

–N

o–

–C

CL3

Hep

tach

lor

76-4

4-8

Inse

ctic

ide

–O

rgan

ochl

orin

e–

No

––

MC

LH

epta

chlo

r epo

xide

1024

-57-

3D

egra

date

Hep

tach

lor

Org

anoc

hlor

ine

–N

o–

–M

CL

Oxy

dem

eton

-met

hyl

301-

12-2

Inse

ctic

ide

–O

rgan

opho

spha

te15

3,67

7N

o–

–C

CL3

Picl

oram

1918

-02-

1H

erbi

cide

–Pi

colin

ic a

cid

1,01

8,72

1Ye

s–

–M

CL

Tebu

feno

zide

111

2410

-23-

8In

sect

icid

e–

Dia

cylh

ydra

zine

37,6

65N

o–

–C

CL3

Thio

dica

rb59

669-

26-0

Inse

ctic

ide

–C

arba

mat

e15

1,49

8N

o–

–C

CL3

Thio

phan

ate

met

hyl

2356

4-05

-8Fu

ngic

ide

–B

enzi

mid

azol

e

prec

urso

r46

5,45

1N

o–

–C

CL3

Toxa

phen

e80

01-3

5-2

Inse

ctic

ide/

ac

aric

ide

–O

rgan

ochl

orin

e–

No

––

MC

L

Vin

cloz

olin

5047

1-44

-8Fu

ngic

ide

–D

icar

boxi

mid

e4,

587

Yes

––

CC

L3

1 New

ly re

leas

ed O

PP A

L be

nchm

arks

(Sep

tem

ber 2

010)

incl

ude

new

or r

evis

ed b

ench

mar

ks fo

r 6 c

ompo

unds

in T

ier 2

(orth

osul

fam

uron

, sul

fent

razo

ne a

nd te

bufe

nozi

de) o

r Tie

r 3 (b

utyl

ate,

lact

ofen

and

py

ripro

xife

n). I

f the

upd

ated

ben

chm

arks

had

bee

n av

aila

ble

whe

n th

e pr

iorit

izat

ion

was

per

form

ed, t

hese

com

poun

ds w

ould

hav

e be

en p

lace

d in

Tie

r 1 o

n th

e ba

sis o

f pre

dict

ed c

once

ntra

tions

in st

ream

s. B

ecau

se o

f thi

s, th

ese

com

poun

ds w

ere

adde

d to

the

list o

f pes

ticid

e co

mpo

unds

USG

S is

eva

luat

ing

for i

nclu

sion

in a

naly

tical

met

hods

.2 I

nclu

ded

in T

ier 1

bec

ause

com

poun

d is

rela

ted

to T

ier 1

com

poun

d.3 D

icof

ol w

as e

valu

ated

usi

ng a

n A

L be

nchm

ark

base

d on

a U

SEPA

OPP

chr

onic

fish

toxi

city

val

ue o

f 1 μ

g/L,

resu

lting

in a

n A

L B

Q fo

r pre

dict

ed c

once

ntra

tions

in st

ream

s gre

ater

than

0.0

1. N

ewly

rele

ased

O

PP A

L be

nchm

arks

(Sep

tem

ber 2

010)

incl

ude

a ch

roni

c fis

h be

nchm

ark

of 4

.4 μ

g/L.

The

resu

lting

BQ

usi

ng th

e ne

w b

ench

mar

k is

less

than

0.0

1. B

ecau

se th

is is

the

only

reas

on d

icof

ol w

as p

lace

d in

Tie

r 1,

its p

riorit

y w

ould

hav

e be

en lo

wer

(Tie

r 3) i

f the

upd

ated

ben

chm

arks

had

bee

n av

aila

ble

whe

n th

e pr

iorit

izat

ion

was

per

form

ed.

4 End

otha

ll w

as e

valu

ated

usi

ng a

n A

L be

nchm

ark

base

d on

a U

SEPA

OPP

acu

te n

on-v

ascu

lar p

lant

toxi

city

val

ue o

f 1.9

μg/

L, re

sulti

ng in

an

AL

BQ

for p

redi

cted

con

cent

ratio

ns in

stre

ams g

reat

er th

an

0.01

. New

ly re

leas

ed O

PP A

L be

nchm

arks

(Sep

tem

ber 2

010)

incl

ude

a ch

roni

c fis

h be

nchm

ark

of 1

,300

μg/

L fo

r end

otha

ll ac

id (h

owev

er th

ere

are

low

er b

ench

mar

k va

lues

for o

ther

form

ulat

ions

of e

ndot

hall,

in

clud

ing

a ch

roni

c in

verte

brat

e be

nchm

ark

of 2

.3 μ

g/L

for t

he N

,N-d

imet

hyla

lkyl

amin

e sa

lt). T

he re

sulti

ng B

Q u

sing

the

new

ben

chm

ark

for e

ndot

hall

is le

ss th

an 0

.01.

Bec

ause

this

is th

e on

ly re

ason

end

otha

ll w

as p

lace

d in

Tie

r 1, i

ts p

riorit

y w

ould

hav

e be

en lo

wer

(Tie

r 2 b

ecau

se it

has

an

MC

L fo

r drin

king

wat

er) i

f the

upd

ated

ben

chm

arks

had

bee

n av

aila

ble

whe

n th

e pr

iorit

izat

ion

was

per

form

ed.

5 Flu

mic

lora

c w

as e

valu

ated

usi

ng a

n A

L be

nchm

ark

base

d on

a c

hron

ic fi

sh to

xici

ty v

alue

of 1

.49

μg/L

, est

imat

ed fr

om E

CO

SAR

, res

ultin

g in

an

AL

BQ

for p

redi

cted

con

cent

ratio

ns in

stre

ams g

reat

er th

an

0.01

. New

ly re

leas

ed O

PP A

L be

nchm

arks

(Sep

tem

ber 2

010)

incl

ude

an a

cute

fish

ben

chm

ark

of 5

50 μ

g/L

for fl

umic

lora

c-pe

ntyl

. The

resu

lting

BQ

usi

ng th

e ne

w b

ench

mar

k is

less

than

0.0

1. B

ecau

se th

is is

th

e on

ly re

ason

flum

iclo

rac

was

pla

ced

in T

ier 1

, its

prio

rity

wou

ld h

ave

been

low

er (T

ier 3

) if t

he u

pdat

ed b

ench

mar

ks h

ad b

een

avai

labl

e w

hen

the

prio

ritiz

atio

n w

as p

erfo

rmed

.

Page 48: Prioritizing Pesticide Compounds for Analytical Methods

34 Prioritizing Pesticide Compounds for Analytical Methods Development

A total of 97 pesticide compounds did not meet the crite-ria for Tier 1, but were placed in Tier 2 because of importance to other agencies or organizations. These compounds could be worth consideration as future target analytes, depending on the objectives and design of monitoring programs. The remaining 275 pesticide compounds were not identified as analytical pri-orities at this time and were assigned to Tier 3. A complete list of pesticide compounds for water, arranged by tier, is included in appendix 3.

Basis for High Priority for Pesticide Compounds in Water

According to the flow chart summarizing the prioritiza-tion procedure for water in figure 2, Tier 1 analytes include pesticide compounds with BQs for aquatic life greater than 0.01 in surface water, BQs for human health greater than 0.01 in surface water or groundwater, or measured detection fre-quencies greater than 10 percent in surface water or ground-water. BQs from both measured and predicted occurrence and detection frequencies for Tier 1 pesticide compounds are listed in table 5.

Figure 4 illustrates the criteria used to select high-priority pesticide compounds for water (also see table 4). About half of the compounds are in Tier 1 solely on the basis of a BQ, either

aquatic life or human health, or both, and 17 percent of Tier 1 compounds are high priority because of frequent occurrence in past monitoring alone. Degradates that were included in Tier 1 because their parent pesticide was high priority compose 21 percent of the total.

Counts summarizing the number and percentage of compounds that met each of the criteria for Tier 1 are tallied in table 6. More compounds exceeded the detection-frequency and BQ criteria for surface water than groundwater. The largest share of Tier 1 compounds consists of those whose predicted occurrence in surface water exceeded the 0.01 BQ threshold for aquatic life. Substantial numbers of compounds also exceeded the detection-frequency criterion for surface water or were degradates of Tier 1 parent compounds (table 6 and fig. 4). Several pesticide compounds met the BQ criteria for both aquatic life and human health and for both surface water and groundwater (table 4).

Detection-frequency distributions for each of the four datasets evaluated—surface water and groundwater in agricultural and urban land use—are shown in figure 5. The 10-percent detection-frequency threshold captures approxi-mately the top 25 percent of pesticide compounds from the occurrence frequency distributions for agricultural and urban streams, and 6 percent of compounds for agricultural and urban groundwater (fig. 5). A total of 71 pesticide compounds had a detection frequency greater than 10 percent in agricul-tural or urban streams, and 13 of these compounds also were frequently detected in groundwater. Of these 71 compounds, 41 were included in Tier 1 on the basis of detection frequency alone, and not on the basis of potential toxicity considerations (tables 4 and 6 and fig. 4).

Degradation products of parent pesticides that did not meet the BQ or detection-frequency criteria for inclusion in Tier 1, often because of inadequate data, were included in the group along with their parent compound (table 4). A total of 52 compounds that are degradates of Tier 1 pesticides were assigned to Tier 1 as a conservative measure (table 4 and fig. 4). Several of these compounds are included in existing USGS analytical methods, but most do not have adequate monitoring data to evaluate their occurrence in streams or groundwater. Also, many degradates lack benchmarks or toxicity information with which to compare measured or pre-dicted concentrations. Measuring degradates along with parent compounds in water samples helps improve understanding of the fate and transport of pesticides in the environment.

In terms of distribution of across pesticide-use groups, Tier 1 includes compounds from the major use groups (fig. 6). Herbicides and their degradates make up half of all Tier 1 compounds, and another 38 percent are represented by insecti-cides and degradates. Overall, at 40 percent, degradates make up a large portion of Tier 1 compounds, and about half of them are classified this way because their parent compound was Tier 1.

sac11-0422_fig 04

DEG21 percent

AL BQ 38 percent

HH BQ4 percent

DF17 percent

AL & HH BQ and DF6 percent

AL and HH BQ9 percentAL BQ and DF

4 percent

HH BQ and DF1 percent

EXPLANATION

247 Tier 1 compounds

AL, aquatic-life

HH, human-health

BQ, benchmark quotient

DF, detection frequency

DEG, degradates added to Tier 1 with parent

Figure 4. Breakdown of Tier 1 pesticide compounds for water by reason for high priority.

Page 49: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 35

Tabl

e 5.

Be

nchm

ark

quot

ient

s an

d de

tect

ion

frequ

enci

es fo

r sur

face

wat

er a

nd g

roun

dwat

er fo

r Tie

r 1 p

estic

ides

and

deg

rada

tes

in w

ater

.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Bol

d in

dica

tes

benc

hmar

k qu

otie

nt (B

Q) g

reat

er th

an 0

.01.

Bol

d ita

lic in

dica

tes d

etec

tion

freq

uenc

y gr

eate

r tha

n 10

per

cent

. Abb

revi

atio

ns: A

G, a

gric

ultu

ral l

and

use;

AL,

aqu

atic

-life

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; GW

, gr

ound

wat

er; H

H, h

uman

-hea

lth; M

eas,

mea

sure

d co

ncen

tratio

n; M

X, m

ixed

land

use

; NAV

, not

ava

ilabl

e; N

AWQ

A, N

atio

nal W

ater

-Qua

lity

Ass

essm

ent P

rogr

am (U

.S. G

eolo

gica

l Sur

vey)

; OPP

, Offi

ce o

f Pe

stic

ide

Prog

ram

s; P

red,

pre

dict

ed c

once

ntra

tion;

SW

, sur

face

wat

er; U

R, u

rban

land

use

; µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Surf

ace

wat

erG

roun

dwat

er

Max

B

Q

valu

e

Max

B

Q

valu

e ty

pe

Pred

icte

d B

QM

easu

red

A

G o

r UR

BQ

(m

ax)

Mea

sure

d

dete

ctio

n

freq

uenc

y,

in p

erce

nt

Pred

icte

d B

Q

Mea

sure

d A

G, U

R or

M

X B

Q

(max

)

Mea

sure

d

dete

ctio

n

freq

uenc

y,

in p

erce

ntA

LH

HA

LH

HA

GU

RH

HH

HA

GU

R1,

3-D

icar

bam

oyl-2

,4,5

,6-

tetra

chlo

robe

nzen

eN

AVD

egra

date

––

––

––

––

––

––

1,3-

Dic

hlor

opro

pene

542-

75-6

Fum

igan

t0.

036

2.0

––

––

2.3

––

–2.

3H

H,P

red

GW

1-C

arba

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hydr

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2,5,

6-tri

chlo

ro-

benz

ene

NAV

Deg

rada

te–

––

––

––

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1-N

apht

hol

90-1

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rada

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0000

42–

––

414

.6–

–0

00.

0000

42A

L,Pr

ed S

W2-

(4-te

rt-b

utyl

phen

oxy)

- C

yclo

hexa

nol

1942

-71-

8D

egra

date

0.00

16–

––

12.7

0.5

––

0–

0.00

16A

L,Pr

ed S

W

2,4-

D (2

,4-D

ichl

orop

heno

xy

acet

ic a

cid)

94-7

5-7

Her

bici

de0.

120.

100.

015

0.01

126

.833

.90.

0048

–0.

61.

30.

12A

L,Pr

ed S

W

2,4-

D m

ethy

l est

er19

28-3

8-7

Her

bici

de–

––

–11

.89

––

0.4

1.4

––

2,6-

Die

thyl

anili

ne57

9-66

-8D

egra

date

0.00

0014

–6.

4E-0

7–

1.9

0.09

––

1.3

0.2

0.00

0014

AL,

Pred

SW

2-[(

2-Et

hyl-6

-met

hylp

heny

l)am

ino]

-1-p

ropa

nol

6152

0-53

-4D

egra

date

––

––

––

––

––

––

2-A

min

o-N

-isop

ropy

lben

zam

ide

3039

1-89

-0D

egra

date

0.01

7–

––

0.5

0–

–0

–0.

017

AL,

Pred

SW

2-C

hlor

o-2,

6-di

ethy

lace

tani

lide

6967

-29-

9D

egra

date

––

––

0.4

0.5

––

00

––

2-C

hlor

o-N

-(2-

ethy

l-6-

met

hylp

heny

l)ace

tam

ide

(Ace

toch

lor/M

etol

achl

or,

seco

ndar

y am

ide)

3242

8-71

-0D

egra

date

––

––

0–

––

0–

––

2-Et

hyl-6

-met

hyla

nilin

e24

549-

06-2

Deg

rada

te0.

16–

––

3.1

0–

–2.

40.

80.

16A

L,Pr

ed S

W2-

Hyd

roxy

atra

zine

2163

-68-

0D

egra

date

0.00

660.

033

––

67.7

20.8

––

15.5

110.

033

HH

,Pre

d SW

3-(T

rifluo

rom

ethy

l)ani

line

98-1

6-8

Deg

rada

te0.

0011

––

–3.

80.

3–

–3.

9–

0.00

11A

L,Pr

ed S

W3-

(Trifl

uoro

met

hyl)p

heny

lure

a13

114-

87-9

Deg

rada

te0.

0053

––

–0.

80

––

1.6

–0.

0053

AL,

Pred

SW

3,4-

Dic

hlor

oani

line

95-7

6-1

Deg

rada

te0.

49–

––

35.2

32.1

––

4.6

1.4

0.49

AL,

Pred

SW

3,4-

Dic

hlor

omet

hy-p

heny

lure

a35

67-6

2-2

Deg

rada

te0.

048

––

––

––

––

–0.

048

AL,

Pred

SW

3,4-

Dic

hlor

ophe

nylu

rea

2327

-02-

8D

egra

date

0.02

7–

––

––

––

––

0.02

7A

L,Pr

ed S

W3,

5-D

ichl

oroa

nilin

e62

6-43

-7D

egra

date

0.01

5–

––

1.4

1.8

––

21.

80.

015

AL,

Pred

SW

Tabl

e 5.

Be

nchm

ark

quot

ient

s an

d de

tect

ion

frequ

enci

es fo

r sur

face

wat

er a

nd g

roun

dwat

er fo

r Tie

r 1 p

estic

ides

and

deg

rada

tes

in w

ater

.

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Bol

d in

dica

tes

benc

hmar

k qu

otie

nt (B

Q) g

reat

er th

an 0

.01.

Bol

d ita

lic in

dica

tes d

etec

tion

freq

uenc

y gr

eate

r tha

n 10

per

cent

. Abb

revi

atio

ns: A

G, a

gric

ultu

ral l

and

use;

AL,

aqu

atic

-life

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; GW

, gr

ound

wat

er; H

H, h

uman

-hea

lth; M

eas,

mea

sure

d co

ncen

tratio

n; M

X, m

ixed

land

use

; NAV

, not

ava

ilabl

e; N

AWQ

A, N

atio

nal W

ater

-Qua

lity

Ass

essm

ent P

rogr

am (U

.S. G

eolo

gica

l Sur

vey)

; OPP

, Offi

ce o

f Pe

stic

ide

Prog

ram

s; P

red,

pre

dict

ed c

once

ntra

tion;

SW

, sur

face

wat

er; U

R, u

rban

land

use

; µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Page 50: Prioritizing Pesticide Compounds for Analytical Methods

36 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

5.

Benc

hmar

k qu

otie

nts

and

dete

ctio

n fre

quen

cies

for s

urfa

ce w

ater

and

gro

undw

ater

for T

ier 1

pes

ticid

es a

nd d

egra

date

s in

wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Bol

d in

dica

tes

benc

hmar

k qu

otie

nt (B

Q) g

reat

er th

an 0

.01.

Bol

d ita

lic in

dica

tes d

etec

tion

freq

uenc

y gr

eate

r tha

n 10

per

cent

. Abb

revi

atio

ns: A

G, a

gric

ultu

ral l

and

use;

AL,

aqu

atic

-life

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; GW

, gr

ound

wat

er; H

H, h

uman

-hea

lth; M

eas,

mea

sure

d co

ncen

tratio

n; M

X, m

ixed

land

use

; NAV

, not

ava

ilabl

e; N

AWQ

A, N

atio

nal W

ater

-Qua

lity

Ass

essm

ent P

rogr

am (U

.S. G

eolo

gica

l Sur

vey)

; OPP

, Offi

ce o

f Pe

stic

ide

Prog

ram

s; P

red,

pre

dict

ed c

once

ntra

tion;

SW

, sur

face

wat

er; U

R, u

rban

land

use

; µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Surf

ace

wat

erG

roun

dwat

er

Max

B

Q

valu

e

Max

B

Q

valu

e ty

pe

Pred

icte

d B

QM

easu

red

A

G o

r UR

BQ

(m

ax)

Mea

sure

d

dete

ctio

n

freq

uenc

y,

in p

erce

nt

Pred

icte

d B

Q

Mea

sure

d A

G, U

R or

M

X B

Q

(max

)

Mea

sure

d

dete

ctio

n

freq

uenc

y,

in p

erce

ntA

LH

HA

LH

HA

GU

RH

HH

HA

GU

R3-

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roxy

carb

ofur

an16

655-

82-6

Deg

rada

te0.

0000

0015

––

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20.

06–

–0

01.

5E-0

7A

L,Pr

ed S

W3-

Ket

ocar

bofu

ran

1670

9-30

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date

0.00

026

––

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50

––

00

0.00

026

AL,

Pred

SW

3-Ph

enox

yben

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aci

d37

39-3

8-6

Deg

rada

te0.

0000

21–

––

––

––

––

0.00

0021

AL,

Pred

SW

4-(H

ydro

xym

ethy

l) pe

ndim

etha

lin56

750-

76-6

Deg

rada

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––

––

––

––

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e90

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2D

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date

0.00

084

––

––

––

––

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0008

4A

L,Pr

ed S

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Chl

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ethy

lphe

nol

1570

-64-

5D

egra

date

0.00

27–

––

1.0

15.6

––

03.

40.

0027

AL,

Pred

SW

4-C

hlor

oben

zylm

ethy

l sul

fone

98-5

7-7

Deg

rada

te0.

0000

22–

––

00.

5–

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0000

22A

L,Pr

ed S

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NAV

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––

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phat

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560-

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ide

0.01

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––

––

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2A

L,Pr

ed S

WA

ceto

chlo

r34

256-

82-1

Her

bici

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11.

14.

70.

7228

.83.

90.

38–

0.3

0.5

4.7

AL,

Mea

s SW

Ace

toch

lor e

than

e su

lfoni

c ac

id

(ESA

)18

7022

-11-

3D

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date

0.00

075

––

–50

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––

6.3

10.

0007

5A

L,Pr

ed S

W

Ace

toch

lor o

xani

lic a

cid

(OA

)18

4992

-44-

4D

egra

date

––

––

33.8

––

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22.

1–

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ceto

chlo

r sul

fyni

lace

tic a

cid

(SA

A)

NAV

Deg

rada

te–

––

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––

0–

––

Ace

toch

lor/M

etol

achl

or E

SA,

seco

ndar

y am

ide

NAV

Deg

rada

te–

––

–40

.8–

––

0–

––

Ala

chlo

r15

972-

60-8

Her

bici

de1.

50.

262.

00.

2334

.45.

80.

095

0.00

72.

60.

42.

0A

L,M

eas

SWA

lach

lor E

SA, s

econ

dary

am

ide

NAV

Deg

rada

te–

––

–6.

6–

––

0–

––

Ala

chlo

r ESA

14

2363

-53-

9D

egra

date

0.00

0096

––

–79

.4–

––

32.2

30.8

0.00

010

AL,

Pred

SW

Ala

chlo

r OA

1712

62-1

7-2

Deg

rada

te0.

0001

0–

––

23.2

––

–8

9.8

0.00

010

AL,

Pred

SW

Ala

chlo

r SA

A14

0939

-16-

8D

egra

date

––

––

2.2

––

–0

––

–A

ldic

arb

116-

06-3

Inse

ctic

ide

2.5

0.02

5–

–0.

10.

060.

025

–0.

070

2.5

AL,

Pred

SW

Ald

icar

b su

lfone

1646

-88-

4D

egra

date

0.00

910.

037

––

0.7

0.2

––

1.1

00.

037

HH

,Pre

d SW

Page 51: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 37

Tabl

e 5.

Be

nchm

ark

quot

ient

s an

d de

tect

ion

frequ

enci

es fo

r sur

face

wat

er a

nd g

roun

dwat

er fo

r Tie

r 1 p

estic

ides

and

deg

rada

tes

in w

ater

.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Bol

d in

dica

tes

benc

hmar

k qu

otie

nt (B

Q) g

reat

er th

an 0

.01.

Bol

d ita

lic in

dica

tes d

etec

tion

freq

uenc

y gr

eate

r tha

n 10

per

cent

. Abb

revi

atio

ns: A

G, a

gric

ultu

ral l

and

use;

AL,

aqu

atic

-life

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; GW

, gr

ound

wat

er; H

H, h

uman

-hea

lth; M

eas,

mea

sure

d co

ncen

tratio

n; M

X, m

ixed

land

use

; NAV

, not

ava

ilabl

e; N

AWQ

A, N

atio

nal W

ater

-Qua

lity

Ass

essm

ent P

rogr

am (U

.S. G

eolo

gica

l Sur

vey)

; OPP

, Offi

ce o

f Pe

stic

ide

Prog

ram

s; P

red,

pre

dict

ed c

once

ntra

tion;

SW

, sur

face

wat

er; U

R, u

rban

land

use

; µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Surf

ace

wat

erG

roun

dwat

er

Max

B

Q

valu

e

Max

B

Q

valu

e ty

pe

Pred

icte

d B

QM

easu

red

A

G o

r UR

BQ

(m

ax)

Mea

sure

d

dete

ctio

n

freq

uenc

y,

in p

erce

nt

Pred

icte

d B

Q

Mea

sure

d A

G, U

R or

M

X B

Q

(max

)

Mea

sure

d

dete

ctio

n

freq

uenc

y,

in p

erce

ntA

LH

HA

LH

HA

GU

RH

HH

HA

GU

RA

ldic

arb

sulfo

xide

1646

-87-

3D

egra

date

0.06

00.

037

0.02

3–

1.5

0–

–1.

40

0.06

0A

L,Pr

ed S

Wal

pha-

HC

H (a

lpha

- H

exac

hlor

ocyc

lohe

xane

)31

9-84

-6In

sect

icid

e m

ixtu

re

com

pone

nt,

by-p

rodu

ct,

degr

adat

e

0.00

029

4.2

0.00

017

–0.

20.

05–

–0.

010

4.2

HH

,Pre

d SW

Am

etry

n83

4-12

-8H

erbi

cide

0.02

80.

0000

55–

–3.

7–

0.00

030

–0

00.

028

AL,

Pred

SW

Am

inom

ethy

lpho

spho

nic

acid

1066

-51-

9D

egra

date

0.00

0038

––

–50

.244

.8–

–1.

18.

30.

0000

38A

L,Pr

ed S

WA

sula

m33

37-7

1-1

Her

bici

de0.

051

––

––

––

––

–0.

051

AL,

Pred

SW

Atra

zine

1912

-24-

9H

erbi

cide

21.8

1.6

58.7

3.2

89.6

71.5

0.18

0.4

43.3

29.2

58.7

AL,

Mea

s SW

Azi

npho

s-m

ethy

l86

-50-

0In

sect

icid

e3.

40.

0043

7.8

0.00

213.

10.

80.

019

–0.

20

7.8

AL,

Mea

s SW

Azi

npho

s-m

ethy

l-oxo

n96

1-22

-8D

egra

date

0.00

017

––

–0.

50

––

00

0.00

017

AL,

Pred

SW

Azo

xyst

robi

n13

1860

-33-

8Fu

ngic

ide

0.02

5–

––

––

––

––

0.02

5A

L,Pr

ed S

WB

enflu

ralin

1861

-40-

1H

erbi

cide

0.00

390.

0004

60.

0053

–0.

63.

70.

038

0.00

150.

10.

170.

038

HH

,Pre

d G

WB

enom

yl17

804-

35-2

Fung

icid

e0.

050

0.00

069

––

10.2

11.6

0.00

37–

20.

60.

050

AL,

Pred

SW

Ben

tazo

n25

057-

89-0

Her

bici

de0.

0000

940.

0006

30.

0003

40.

0015

25.5

5.3

0.00

088

0.00

464

2.4

0.00

46H

H,M

eas

GW

beta

-HC

H31

9-85

-7In

sect

icid

e m

ixtu

re

com

pone

nt,

by-p

rodu

ct,

degr

adat

e

0.00

021

0.63

––

––

––

––

0.63

HH

,Pre

d SW

Bife

naza

te14

9877

-41-

8In

sect

icid

e0.

018

––

––

––

––

–0.

018

AL,

Pred

SW

Bife

nthr

in82

657-

04-3

Inse

ctic

ide

0.77

0.00

11–

–0

00.

017

–0

–0.

77A

L,Pr

ed S

W

Page 52: Prioritizing Pesticide Compounds for Analytical Methods

38 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

5.

Benc

hmar

k qu

otie

nts

and

dete

ctio

n fre

quen

cies

for s

urfa

ce w

ater

and

gro

undw

ater

for T

ier 1

pes

ticid

es a

nd d

egra

date

s in

wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Bol

d in

dica

tes

benc

hmar

k qu

otie

nt (B

Q) g

reat

er th

an 0

.01.

Bol

d ita

lic in

dica

tes d

etec

tion

freq

uenc

y gr

eate

r tha

n 10

per

cent

. Abb

revi

atio

ns: A

G, a

gric

ultu

ral l

and

use;

AL,

aqu

atic

-life

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; GW

, gr

ound

wat

er; H

H, h

uman

-hea

lth; M

eas,

mea

sure

d co

ncen

tratio

n; M

X, m

ixed

land

use

; NAV

, not

ava

ilabl

e; N

AWQ

A, N

atio

nal W

ater

-Qua

lity

Ass

essm

ent P

rogr

am (U

.S. G

eolo

gica

l Sur

vey)

; OPP

, Offi

ce o

f Pe

stic

ide

Prog

ram

s; P

red,

pre

dict

ed c

once

ntra

tion;

SW

, sur

face

wat

er; U

R, u

rban

land

use

; µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Surf

ace

wat

erG

roun

dwat

er

Max

B

Q

valu

e

Max

B

Q

valu

e ty

pe

Pred

icte

d B

QM

easu

red

A

G o

r UR

BQ

(m

ax)

Mea

sure

d

dete

ctio

n

freq

uenc

y,

in p

erce

nt

Pred

icte

d B

Q

Mea

sure

d A

G, U

R or

M

X B

Q

(max

)

Mea

sure

d

dete

ctio

n

freq

uenc

y,

in p

erce

ntA

LH

HA

LH

HA

GU

RH

HH

HA

GU

RB

rom

acil

314-

40-9

Her

bici

de0.

086

0.00

210.

23–

3.5

8.2

0.00

220.

026

2.7

3.5

0.23

AL,

Mea

s SW

Bro

mom

etha

ne74

-83-

9Fu

mig

ant/

adju

vant

0.01

30.

0037

––

––

0.00

21–

––

0.01

3A

L,Pr

ed S

W

Bro

mox

ynil

1689

-84-

5H

erbi

cide

0.00

996

0.00

043

0.02

4–

1.9

0.3

0.02

1–

0.06

00.

024

AL,

Mea

s SW

But

ralin

3362

9-47

-9H

erbi

cide

0.01

4–

––

––

––

––

0.01

4A

L,Pr

ed S

WC

arba

ryl

63-2

5-2

Inse

ctic

ide

3.7

0.00

839.

60.

016

1255

.70.

0047

0.00

018

0.6

1.4

9.6

AL,

Mea

s SW

Car

bofu

ran

1563

-66-

2In

sect

icid

e2.

00.

0071

4.8

0.01

212

.91.

70.

0042

0.00

043

2.1

0.7

4.8

AL,

Mea

s SW

Chl

orim

uron

-eth

yl90

982-

32-4

Her

bici

de0.

0003

10.

0003

8–

–1 3

1

(5.0

)0.

30.

0002

5–

0.6

00.

0003

8H

H,P

red

SW

Chl

orop

icrin

76-0

6-2

Fum

igan

t/ ne

mat

ocid

e0.

077

––

––

––

––

–0.

077

AL,

Pred

SW

Chl

orot

halo

nil

1897

-45-

6Fu

ngic

ide

0.72

0.01

80.

050

–0.

21.

30.

058

–0

0.2

0.72

AL,

Pred

SW

Chl

orpy

rifos

2921

-88-

2In

sect

icid

e14

.30.

060

3.7

0.02

713

.322

.60.

14–

0.8

0.4

14.3

AL,

Pred

SW

Chl

orpy

rifos

oxy

gen

an

alog

5598

-15-

2D

egra

date

0.01

5–

––

0.3

0–

–0

00.

015

AL,

Pred

SW

Chl

orsu

lfuro

n64

902-

72-3

Her

bici

de7.

90.

0051

––

––

0.00

15–

––

7.9

AL,

Pred

SW

cis-

Met

hyl-3

-(2,

2-

dich

loro

viny

l)-2,

2-

dim

ethy

l-(1-

cycl

o-pr

opan

e)-

carb

oxyl

ate

c618

98-9

5-1

Deg

rada

te–

––

–0

0–

–0

––

cis-

Perm

ethr

in61

949-

76-6

Inse

ctic

ide

See

pe

rme-

th

rin

See

pe

rme-

th

rin

13.6

–0.

20.

1Se

e

perm

e-

thrin

–0.

10

13.6

AL,

Mea

s SW

Page 53: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 39

Tabl

e 5.

Be

nchm

ark

quot

ient

s an

d de

tect

ion

frequ

enci

es fo

r sur

face

wat

er a

nd g

roun

dwat

er fo

r Tie

r 1 p

estic

ides

and

deg

rada

tes

in w

ater

.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Bol

d in

dica

tes

benc

hmar

k qu

otie

nt (B

Q) g

reat

er th

an 0

.01.

Bol

d ita

lic in

dica

tes d

etec

tion

freq

uenc

y gr

eate

r tha

n 10

per

cent

. Abb

revi

atio

ns: A

G, a

gric

ultu

ral l

and

use;

AL,

aqu

atic

-life

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; GW

, gr

ound

wat

er; H

H, h

uman

-hea

lth; M

eas,

mea

sure

d co

ncen

tratio

n; M

X, m

ixed

land

use

; NAV

, not

ava

ilabl

e; N

AWQ

A, N

atio

nal W

ater

-Qua

lity

Ass

essm

ent P

rogr

am (U

.S. G

eolo

gica

l Sur

vey)

; OPP

, Offi

ce o

f Pe

stic

ide

Prog

ram

s; P

red,

pre

dict

ed c

once

ntra

tion;

SW

, sur

face

wat

er; U

R, u

rban

land

use

; µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Surf

ace

wat

erG

roun

dwat

er

Max

B

Q

valu

e

Max

B

Q

valu

e ty

pe

Pred

icte

d B

QM

easu

red

A

G o

r UR

BQ

(m

ax)

Mea

sure

d

dete

ctio

n

freq

uenc

y,

in p

erce

nt

Pred

icte

d B

Q

Mea

sure

d A

G, U

R or

M

X B

Q

(max

)

Mea

sure

d

dete

ctio

n

freq

uenc

y,

in p

erce

ntA

LH

HA

LH

HA

GU

RH

HH

HA

GU

Rci

s-Pr

opic

onaz

ole

c602

07-9

0-1

Fung

icid

eSe

e

prop

i- co

nazo

le

See

pr

opi-

cona

zole

––

12.8

15.8

See

pr

opi-

cona

zole

–0.

40.

7–

Cop

per

7440

-50-

8Fu

ngic

ide

0.01

80.

0000

35–

––

–0.

0001

5–

––

0.01

8A

L,Pr

ed S

WC

yana

zine

2172

5-46

-2H

erbi

cide

0.00

0024

0.00

590.

014

4.0

39.9

3.1

0.15

0.00

71.

20.

94.

0H

H,M

eas

SWC

yana

zine

aci

dN

AVD

egra

date

––

––

––

––

––

––

Cya

nazi

ne a

mid

eN

AVD

egra

date

––

––

27.8

2.6

––

0–

––

Cyfl

uthr

in68

359-

37-5

Inse

ctic

ide

13.6

0.00

016

––

00

0.00

082

–0

013

.6A

L,Pr

ed S

WC

yhal

othr

in

(lam

bda-

Cyh

alot

hrin

)91

465-

08-6

Inse

ctic

ide

8.0

0.00

070

––

00

0.00

41–

00

8.0

AL,

Pred

SW

gam

ma-

Cyh

alot

hrin

7670

3-62

-3In

sect

icid

e–

––

––

––

––

––

–C

yper

met

hrin

5231

5-07

-8In

sect

icid

e3.

60.

0011

––

00.

40.

0037

–0

03.

6A

L,Pr

ed S

W ze

ta-C

yper

met

hrin

6986

5-47

-0In

sect

icid

e–

––

––

––

––

––

–D

acth

al18

61-3

2-1

Her

bici

de0.

0000

093

0.00

037

0.00

270.

030

11.5

20.8

0.00

230.

0000

140.

70.

50.

030

HH

,Mea

s SW

Dac

thal

mon

oaci

d88

7-54

-7D

egra

date

0.00

011

–0.

0000

34–

0.3

0.2

––

0.06

00.

0001

1A

L,Pr

ed S

WD

echl

oroa

ceto

chlo

rN

AVD

egra

date

––

––

0–

––

0–

––

Dec

hlor

oala

chlo

rN

AVD

egra

date

––

––

0–

––

0–

––

Dec

hlor

odim

ethe

nam

idN

AVD

egra

date

––

––

0–

––

0–

––

Dec

hlor

omet

olac

hlor

NAV

Deg

rada

te–

––

–8.

3–

––

0–

––

Dee

thyl

atra

zine

6190

-65-

4D

egra

date

0.01

30.

620.

0017

0.06

680

.448

.7–

0.14

45.5

30.6

0.62

HH

,Pre

d SW

Dee

thyl

cyan

azin

eN

AVD

egra

date

––

––

––

––

––

––

Dee

thyl

cyan

azin

e ac

idN

AVD

egra

date

––

––

––

––

––

––

Dee

thyl

cyan

azin

e am

ide

NAV

Deg

rada

te–

––

––

––

––

––

–D

eeth

ylhy

drox

yatra

zine

NAV

Deg

rada

te–

0.96

––

––

––

––

0.96

HH

,Pre

d SW

Dei

sopr

opyl

pro

met

ryn

NAV

Deg

rada

te–

––

–0.

32.

6–

–0

––

–D

eiso

prop

ylat

razi

ne10

07-2

8-9

Deg

rada

te0.

0048

0.56

––

39.5

13.9

––

2815

.40.

56H

H,P

red

SW

Page 54: Prioritizing Pesticide Compounds for Analytical Methods

40 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

5.

Benc

hmar

k qu

otie

nts

and

dete

ctio

n fre

quen

cies

for s

urfa

ce w

ater

and

gro

undw

ater

for T

ier 1

pes

ticid

es a

nd d

egra

date

s in

wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Bol

d in

dica

tes

benc

hmar

k qu

otie

nt (B

Q) g

reat

er th

an 0

.01.

Bol

d ita

lic in

dica

tes d

etec

tion

freq

uenc

y gr

eate

r tha

n 10

per

cent

. Abb

revi

atio

ns: A

G, a

gric

ultu

ral l

and

use;

AL,

aqu

atic

-life

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; GW

, gr

ound

wat

er; H

H, h

uman

-hea

lth; M

eas,

mea

sure

d co

ncen

tratio

n; M

X, m

ixed

land

use

; NAV

, not

ava

ilabl

e; N

AWQ

A, N

atio

nal W

ater

-Qua

lity

Ass

essm

ent P

rogr

am (U

.S. G

eolo

gica

l Sur

vey)

; OPP

, Offi

ce o

f Pe

stic

ide

Prog

ram

s; P

red,

pre

dict

ed c

once

ntra

tion;

SW

, sur

face

wat

er; U

R, u

rban

land

use

; µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Surf

ace

wat

erG

roun

dwat

er

Max

B

Q

valu

e

Max

B

Q

valu

e ty

pe

Pred

icte

d B

QM

easu

red

A

G o

r UR

BQ

(m

ax)

Mea

sure

d

dete

ctio

n

freq

uenc

y,

in p

erce

nt

Pred

icte

d B

Q

Mea

sure

d A

G, U

R or

M

X B

Q

(max

)

Mea

sure

d

dete

ctio

n

freq

uenc

y,

in p

erce

ntA

LH

HA

LH

HA

GU

RH

HH

HA

GU

RD

eiso

prop

ylhy

drox

y at

razi

ne73

13-5

4-4

Deg

rada

te0.

360.

96–

––

––

––

–0.

96H

H,P

red

SW

delta

-HC

H31

9-86

-8In

sect

icid

e m

ixtu

re

com

pone

nt,

by-p

rodu

ct,

degr

adat

e

0.00

028

––

––

––

––

–0.

0002

8A

L,Pr

ed S

W

Del

tam

ethr

in52

918-

63-5

Inse

ctic

ide

1.5

––

––

––

––

–1.

5A

L,Pr

ed S

WD

emet

hyl fl

uom

etur

onN

AVD

egra

date

––

––

37.9

2.7

––

16.4

––

–D

emet

hyl n

orflu

razo

nN

AVD

egra

date

––

––

50.7

0–

–24

.2–

––

Des

ulfin

ylfip

roni

l (M

B46

513)

NAV

Deg

rada

te–

––

–14

.829

.9–

–0

0.5

––

Des

ulfin

ylfip

roni

l am

ide

(R

PA 1

0504

8)N

AVD

egra

date

––

––

8.8

11.4

––

0.1

0–

Dia

zino

n33

3-41

-5In

sect

icid

e1.

80.

047

18.1

0.71

15.1

67.4

0.17

0.00

40.

41.

318

.1A

L,M

eas

SWD

iazi

non

oxyg

en a

nalo

g96

2-58

-3D

egra

date

0.00

024

––

–0

0.5

––

00

0.00

024

AL,

Pred

SW

Dic

amba

1918

-00-

9H

erbi

cide

0.05

80.

0002

30.

0067

–3.

93.

40.

0000

68–

0.3

0.6

0.05

8A

L,Pr

ed S

WD

ichl

oben

il11

94-6

5-6

Her

bici

de0.

0003

50.

0003

30.

010

–0.

34.

30.

017

–0.

090.

380.

017

HH

,Pre

d G

WD

ichl

orvo

s62

-73-

7In

sect

icid

e/

fum

igan

t/ de

grad

ate

––

––

0.2

9.1

––

00

––

Dic

ofol

211

5-32

-2In

sect

icid

e0.

024

––

––

––

––

–0.

024

AL,

Pred

SW

Dic

roto

phos

141-

66-2

Inse

ctic

ide

2.1

10.5

––

2.2

0.3

3.0

–0

010

.5H

H,P

red

SWD

idea

lkyl

atra

zine

3397

-62-

4D

egra

date

0.00

041

––

–31

16.6

––

24.8

16.8

0.00

041

AL,

Pred

SW

Die

ldrin

60-5

7-1

Inse

ctic

ide

––

1.4

22.5

3.6

3.5

–27

.51.

25.

327

.5H

H,M

eas

GW

Difl

uben

zuro

n35

367-

38-5

Inse

ctic

ide

0.16

––

––

––

––

–0.

16A

L,Pr

ed S

WD

ifluf

enzo

pyr

1092

93-9

7-2

Her

bici

de0.

48–

––

––

––

––

0.48

AL,

Pred

SW

Page 55: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 41

Tabl

e 5.

Be

nchm

ark

quot

ient

s an

d de

tect

ion

frequ

enci

es fo

r sur

face

wat

er a

nd g

roun

dwat

er fo

r Tie

r 1 p

estic

ides

and

deg

rada

tes

in w

ater

.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Bol

d in

dica

tes

benc

hmar

k qu

otie

nt (B

Q) g

reat

er th

an 0

.01.

Bol

d ita

lic in

dica

tes d

etec

tion

freq

uenc

y gr

eate

r tha

n 10

per

cent

. Abb

revi

atio

ns: A

G, a

gric

ultu

ral l

and

use;

AL,

aqu

atic

-life

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; GW

, gr

ound

wat

er; H

H, h

uman

-hea

lth; M

eas,

mea

sure

d co

ncen

tratio

n; M

X, m

ixed

land

use

; NAV

, not

ava

ilabl

e; N

AWQ

A, N

atio

nal W

ater

-Qua

lity

Ass

essm

ent P

rogr

am (U

.S. G

eolo

gica

l Sur

vey)

; OPP

, Offi

ce o

f Pe

stic

ide

Prog

ram

s; P

red,

pre

dict

ed c

once

ntra

tion;

SW

, sur

face

wat

er; U

R, u

rban

land

use

; µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Surf

ace

wat

erG

roun

dwat

er

Max

B

Q

valu

e

Max

B

Q

valu

e ty

pe

Pred

icte

d B

QM

easu

red

A

G o

r UR

BQ

(m

ax)

Mea

sure

d

dete

ctio

n

freq

uenc

y,

in p

erce

nt

Pred

icte

d B

Q

Mea

sure

d A

G, U

R or

M

X B

Q

(max

)

Mea

sure

d

dete

ctio

n

freq

uenc

y,

in p

erce

ntA

LH

HA

LH

HA

GU

RH

HH

HA

GU

RD

imet

hena

mid

8767

4-68

-8H

erbi

cide

0.00

20–

––

20–

––

0–

0.00

20A

L,Pr

ed S

WD

imet

hena

mid

ESA

N

AVD

egra

date

––

––

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––

–0.

9–

––

Dim

ethe

nam

id O

AN

AVD

egra

date

––

––

4.8

––

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imet

hena

mid

-P16

3515

-14-

8H

erbi

cide

0.09

7–

––

––

––

––

0.09

7A

L,Pr

ed S

WD

imet

hoat

e60

-51-

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054

––

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0.9

0.08

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00

1.2

AL,

Pred

SW

Diq

uat

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0-7

Her

bici

de37

.50.

0012

––

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0.00

029

––

–37

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L,Pr

ed S

WD

isul

foto

n29

8-04

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icid

e14

.80.

029

3.2

–0.

30.

20.

17–

00

14.8

AL,

Pred

SW

Dis

ulfo

ton

sulfo

ne24

97-0

6-5

Deg

rada

te5.

6–

––

6.2

8.1

––

00

5.6

AL,

Pred

SW

Dis

ulfo

ton

sulfo

xide

2497

-07-

6D

egra

date

0.51

––

–1

0.8

––

0–

0.51

AL,

Pred

SW

Diu

ron

330-

54-1

Her

bici

de0.

930.

205.

40.

7624

.645

.20.

100.

135.

93.

85.

4A

L,M

eas

SWEn

dosu

lfan

115-

29-7

Inse

ctic

ide

0.42

0.00

017

––

See

al

pha-

&

bet

a-

endo

- su

lfan

See

al

pha-

&

bet

a-

endo

- su

lfan

0.00

41–

See

al

pha-

&

bet

a-

endo

- su

lfan

See

al

pha -

&

bet

a-

endo

- su

lfan

0.42

AL,

Pred

SW

alp

ha-E

ndos

ulfa

n95

9-98

-8In

sect

icid

e–

––

–0.

40

––

00

––

bet

a-En

dosu

lfan

3321

3-65

-9In

sect

icid

e–

––

–4.

20

––

0–

––

Endo

sulfa

n et

her

3369

-52-

6D

egra

date

––

––

00

––

0–

––

Endo

sulfa

n su

lfate

1031

-07-

8D

egra

date

0.13

––

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20

––

00

0.13

AL,

Pred

SW

Endo

thal

l 314

5-73

-3H

erbi

cide

0.14

0.00

050

––

––

0.00

15–

––

0.14

AL,

Pred

SW

EPTC

(S-E

thyl

di

prop

ylth

ioca

rbam

ate)

759-

94-4

Her

bici

de0.

0001

80.

0001

40.

0057

0.00

2817

.95.

60.

0014

0.00

0015

0.9

0.5

0.00

57A

L,M

eas

SWEs

fenv

aler

ate

6623

0-04

-4In

sect

icid

e9.

5–

––

––

––

––

9.5

AL,

Pred

SW

Etha

lflur

alin

5528

3-68

-6H

erbi

cide

0.17

0.00

057

0.33

–1.

50

0.00

61–

0.1

00.

33A

L,M

eas

SWEt

hopr

op13

194-

48-4

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ctic

ide

0.01

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094

0.01

50.

013

2.9

1.1

0.18

–0.

040

0.18

HH

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d G

WEt

oxaz

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1532

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1-1

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ctic

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L,Pr

ed S

W

Page 56: Prioritizing Pesticide Compounds for Analytical Methods

42 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

5.

Benc

hmar

k qu

otie

nts

and

dete

ctio

n fre

quen

cies

for s

urfa

ce w

ater

and

gro

undw

ater

for T

ier 1

pes

ticid

es a

nd d

egra

date

s in

wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Bol

d in

dica

tes

benc

hmar

k qu

otie

nt (B

Q) g

reat

er th

an 0

.01.

Bol

d ita

lic in

dica

tes d

etec

tion

freq

uenc

y gr

eate

r tha

n 10

per

cent

. Abb

revi

atio

ns: A

G, a

gric

ultu

ral l

and

use;

AL,

aqu

atic

-life

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; GW

, gr

ound

wat

er; H

H, h

uman

-hea

lth; M

eas,

mea

sure

d co

ncen

tratio

n; M

X, m

ixed

land

use

; NAV

, not

ava

ilabl

e; N

AWQ

A, N

atio

nal W

ater

-Qua

lity

Ass

essm

ent P

rogr

am (U

.S. G

eolo

gica

l Sur

vey)

; OPP

, Offi

ce o

f Pe

stic

ide

Prog

ram

s; P

red,

pre

dict

ed c

once

ntra

tion;

SW

, sur

face

wat

er; U

R, u

rban

land

use

; µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Surf

ace

wat

erG

roun

dwat

er

Max

B

Q

valu

e

Max

B

Q

valu

e ty

pe

Pred

icte

d B

QM

easu

red

A

G o

r UR

BQ

(m

ax)

Mea

sure

d

dete

ctio

n

freq

uenc

y,

in p

erce

nt

Pred

icte

d B

Q

Mea

sure

d A

G, U

R or

M

X B

Q

(max

)

Mea

sure

d

dete

ctio

n

freq

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y,

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erce

ntA

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HA

LH

HA

GU

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HH

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mox

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5A

L,Pr

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0001

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027

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00

0.02

7A

L,Pr

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WFe

nbut

atin

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356-

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0.03

3A

L,Pr

ed S

WFe

npro

path

rin39

515-

41-8

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ctic

ide

0.07

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––

––

0.07

6A

L,Pr

ed S

WFe

ntin

hyd

roxi

de (T

PTH

, Tr

iphe

nylti

n hy

drox

ide)

76-8

7-9

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e/

mol

lusc

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he

rbic

ide

0.14

––

––

––

––

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14A

L,Pr

ed S

W

Fipr

onil

1200

68-3

7-3

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ctic

ide

0.01

1–

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14.3

34.1

––

00.

20.

011

AL,

Pred

SW

Fipr

onil

sulfi

de12

0067

-83-

6D

egra

date

––

––

1321

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–0

0.5

––

Fipr

onil

sulfo

ne12

0068

-36-

2D

egra

date

0.00

0043

––

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–0.

10.

90.

0000

43A

L,Pr

ed S

WFl

umet

sula

m98

967-

40-9

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bici

de0.

0000

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0.00

0016

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(4

.1)

1.3

0.00

0023

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61.

70.

0000

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H,P

red

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Flum

iclo

rac

487

546-

18-7

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bici

de0.

067

––

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––

––

–0.

067

AL,

Pred

SW

Fluo

met

uron

2164

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2H

erbi

cide

0.04

50.

085

0.25

0.23

11.3

0.7

0.03

9–

3.3

0.5

0.25

AL,

Mea

s SW

Fono

fos

944-

22-9

Inse

ctic

ide

––

0.17

0.00

314.

20.

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–0

00.

17A

L,M

eas

SWFo

nofo

s oxy

gen

anal

og94

4-21

-8D

egra

date

––

––

––

––

––

––

Form

etan

ate

hydr

ochl

orid

e23

422-

53-9

Inse

ctic

ide

0.20

––

––

––

––

–0.

20A

L,Pr

ed S

Wga

mm

a-H

CH

58-8

9-9

Inse

ctic

ide

0.06

60.

036

0.07

2–

12.

40.

76–

––

0.76

HH

,Pre

d G

WG

lyph

osat

e10

71-8

3-6

Her

bici

de0.

0086

0.00

62–

–38

.121

.90.

0010

–1.

60

0.00

86A

L,Pr

ed S

WH

alos

ulfu

ron-

met

hyl

1007

84-2

0-1

Her

bici

de0.

011

––

––

––

––

–0.

011

AL,

Pred

SW

Hex

azin

one

5123

5-04

-2H

erbi

cide

0.26

0.00

090

––

20.2

8.9

0.00

042

–5

3.5

0.26

AL,

Pred

SW

Hyd

roxy

acet

ochl

or60

090-

47-3

Deg

rada

te–

––

–2.

3–

––

0–

––

Hyd

roxy

alac

hlor

NAV

Deg

rada

te–

––

–0

––

–0

––

–H

ydro

xydi

met

hana

mid

NAV

Deg

rada

te–

––

–0

––

–0

––

–H

ydro

xym

etol

achl

or13

1068

-72-

9D

egra

date

––

––

22.5

––

–0

––

Page 57: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 43

Tabl

e 5.

Be

nchm

ark

quot

ient

s an

d de

tect

ion

frequ

enci

es fo

r sur

face

wat

er a

nd g

roun

dwat

er fo

r Tie

r 1 p

estic

ides

and

deg

rada

tes

in w

ater

.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Bol

d in

dica

tes

benc

hmar

k qu

otie

nt (B

Q) g

reat

er th

an 0

.01.

Bol

d ita

lic in

dica

tes d

etec

tion

freq

uenc

y gr

eate

r tha

n 10

per

cent

. Abb

revi

atio

ns: A

G, a

gric

ultu

ral l

and

use;

AL,

aqu

atic

-life

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; GW

, gr

ound

wat

er; H

H, h

uman

-hea

lth; M

eas,

mea

sure

d co

ncen

tratio

n; M

X, m

ixed

land

use

; NAV

, not

ava

ilabl

e; N

AWQ

A, N

atio

nal W

ater

-Qua

lity

Ass

essm

ent P

rogr

am (U

.S. G

eolo

gica

l Sur

vey)

; OPP

, Offi

ce o

f Pe

stic

ide

Prog

ram

s; P

red,

pre

dict

ed c

once

ntra

tion;

SW

, sur

face

wat

er; U

R, u

rban

land

use

; µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Surf

ace

wat

erG

roun

dwat

er

Max

B

Q

valu

e

Max

B

Q

valu

e ty

pe

Pred

icte

d B

QM

easu

red

A

G o

r UR

BQ

(m

ax)

Mea

sure

d

dete

ctio

n

freq

uenc

y,

in p

erce

nt

Pred

icte

d B

Q

Mea

sure

d A

G, U

R or

M

X B

Q

(max

)

Mea

sure

d

dete

ctio

n

freq

uenc

y,

in p

erce

ntA

LH

HA

LH

HA

GU

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HH

HA

GU

RH

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maz

ine

2599

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3D

egra

date

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––

––

––

––

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amox

1143

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bici

de0.

049

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AL,

Pred

SW

Imaz

aqui

n81

335-

37-7

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bici

de0.

0000

018

0.00

0028

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13.4

0.00

0076

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24.

40.

0000

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red

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Imaz

etha

pyr

8133

5-77

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erbi

cide

0.00

0012

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013

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2.2

0.00

0084

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81

0.00

013

HH

,Pre

d SW

Imid

aclo

prid

1382

61-4

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ctic

ide

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030

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0004

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0.9

2.4

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AL,

Pred

SW

Indo

xaca

rb17

3584

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6In

sect

icid

e0.

28–

––

––

––

––

0.28

AL,

Pred

SW

Ipro

dion

e36

734-

19-7

Fung

icid

e0.

0011

0.04

2–

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72

0.22

–0

00.

22H

H,P

red

GW

Isox

aflut

ole

1411

12-2

9-0

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bici

de0.

025

––

––

––

––

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025

AL,

Pred

SW

Kre

soxi

m-m

ethy

l14

3390

-89-

0Fu

ngic

ide

0.04

7–

––

––

––

––

0.04

7A

L,Pr

ed S

WLi

nuro

n33

0-55

-2H

erbi

cide

1.0

0.00

403.

6–

3.4

0.08

0.03

4–

0.3

03.

6A

L,M

eas

SWM

alao

xon

1634

-78-

2D

egra

date

1.2

––

–0

0.2

––

00.

31.

2A

L,Pr

ed S

WM

alat

hion

121-

75-5

Inse

ctic

ide

0.00

181.

7E-1

014

,615

0.00

125.

416

.50.

0037

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50.

214

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AL,

Mea

s SW

Man

eb12

427-

38-2

Fung

icid

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010

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––

––

–0.

010

AL,

Pred

SW

MB

C (C

arbe

ndaz

im)

1060

5-21

-7D

egra

date

0.33

––

––

––

––

–0.

33A

L,Pr

ed S

WM

CPA

(2-M

ethy

l-4-

chlo

roph

enox

yace

tic a

cid)

94-7

4-6

Her

bici

de0.

012

0.01

30.

0055

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710

.80.

0077

–0

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0.01

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alax

yl57

837-

19-1

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icid

e0.

0000

600.

0000

28–

–33

.46.

90.

0002

5–

2.5

1.4

0.00

025

HH

,Pre

d G

WM

etam

sodi

um13

7-42

-8Fu

mig

ant/

herb

icid

e/

fung

icid

e/

mic

ro-

bioc

ide/

al

gaec

ide

0.32

––

––

––

––

–0.

32A

L,Pr

ed S

W

Met

cona

zole

1251

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icid

e0.

011

––

––

––

––

–0.

011

AL,

Pred

SW

Met

ham

idop

hos

1026

5-92

-6In

sect

icid

e0.

011

––

––

––

––

–0.

011

AL,

Pred

SW

Met

hida

thio

n95

0-37

-8In

sect

icid

e0.

087

0.01

4–

–0.

70

0.15

–0

00.

15H

H,P

red

GW

Page 58: Prioritizing Pesticide Compounds for Analytical Methods

44 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

5.

Benc

hmar

k qu

otie

nts

and

dete

ctio

n fre

quen

cies

for s

urfa

ce w

ater

and

gro

undw

ater

for T

ier 1

pes

ticid

es a

nd d

egra

date

s in

wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Bol

d in

dica

tes

benc

hmar

k qu

otie

nt (B

Q) g

reat

er th

an 0

.01.

Bol

d ita

lic in

dica

tes d

etec

tion

freq

uenc

y gr

eate

r tha

n 10

per

cent

. Abb

revi

atio

ns: A

G, a

gric

ultu

ral l

and

use;

AL,

aqu

atic

-life

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; GW

, gr

ound

wat

er; H

H, h

uman

-hea

lth; M

eas,

mea

sure

d co

ncen

tratio

n; M

X, m

ixed

land

use

; NAV

, not

ava

ilabl

e; N

AWQ

A, N

atio

nal W

ater

-Qua

lity

Ass

essm

ent P

rogr

am (U

.S. G

eolo

gica

l Sur

vey)

; OPP

, Offi

ce o

f Pe

stic

ide

Prog

ram

s; P

red,

pre

dict

ed c

once

ntra

tion;

SW

, sur

face

wat

er; U

R, u

rban

land

use

; µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Surf

ace

wat

erG

roun

dwat

er

Max

B

Q

valu

e

Max

B

Q

valu

e ty

pe

Pred

icte

d B

QM

easu

red

A

G o

r UR

BQ

(m

ax)

Mea

sure

d

dete

ctio

n

freq

uenc

y,

in p

erce

nt

Pred

icte

d B

Q

Mea

sure

d A

G, U

R or

M

X B

Q

(max

)

Mea

sure

d

dete

ctio

n

freq

uenc

y,

in p

erce

ntA

LH

HA

LH

HA

GU

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HH

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GU

RM

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myl

1675

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eas

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me

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ed S

WM

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lor

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ctic

ide

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AL,

Pred

SW

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hoxy

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1610

50-5

8-4

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ctic

ide

5.6

––

––

––

––

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6A

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ed S

WM

etol

achl

or51

218-

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0034

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0.00

026

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8.8

11.6

AL,

Mea

s SW

Met

olac

hlor

ESA

17

1118

-09-

5D

egra

date

0.00

19–

––

89.5

––

–42

.341

.70.

0019

AL,

Pred

SW

Met

olac

hlor

OA

1520

19-7

3-3

Deg

rada

te0.

0061

––

–83

.9–

––

18.2

19.6

0.00

61A

L,Pr

ed S

WM

etrib

uzin

2108

7-64

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cide

2.7

0.05

00.

420.

0050

18.2

4.3

0.00

250.

0003

13

0.8

2.7

AL,

Pred

SW

Mol

inat

e22

12-6

7-1

Her

bici

de0.

0096

0.26

0.38

11.3

11.6

0.9

0.22

–0.

50.

211

.3H

H,M

eas

SWM

yclo

buta

nil

8867

1-89

-0Fu

ngic

ide

0.00

0048

0.00

0070

––

611

.10.

0007

9–

0.3

00.

0007

9H

H,P

red

GW

Nal

ed30

0-76

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sect

icid

e0.

028

0.00

0040

––

––

0.01

5–

––

0.02

8A

L,Pr

ed S

WN

icos

ulfu

ron

1119

91-0

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bici

de0.

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0.00

0006

3–

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(4

.5)

0.3

0.00

0018

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40

0.00

58A

L,Pr

ed S

W

Nor

flura

zon

2731

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cide

0.02

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0043

0.06

00.

043

8.7

1.4

0.01

70.

133.

70.

30.

13H

H,M

eas

GW

Nov

alur

on11

6714

-46-

6H

erbi

cide

0.02

9–

––

––

––

––

0.02

9A

L,Pr

ed S

WO

-Eth

yl-O

-met

hyl-

S-pr

opyl

phos

phor

othi

oate

7696

0-87

-7D

egra

date

––

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00

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zalin

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ctic

ide

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0.00

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Pred

SW

Oxy

fluor

fen

4287

4-03

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cide

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30

0.01

0–

00

0.07

9A

L,Pr

ed S

W

Page 59: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 45

Tabl

e 5.

Be

nchm

ark

quot

ient

s an

d de

tect

ion

frequ

enci

es fo

r sur

face

wat

er a

nd g

roun

dwat

er fo

r Tie

r 1 p

estic

ides

and

deg

rada

tes

in w

ater

.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Bol

d in

dica

tes

benc

hmar

k qu

otie

nt (B

Q) g

reat

er th

an 0

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Bol

d ita

lic in

dica

tes d

etec

tion

freq

uenc

y gr

eate

r tha

n 10

per

cent

. Abb

revi

atio

ns: A

G, a

gric

ultu

ral l

and

use;

AL,

aqu

atic

-life

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; GW

, gr

ound

wat

er; H

H, h

uman

-hea

lth; M

eas,

mea

sure

d co

ncen

tratio

n; M

X, m

ixed

land

use

; NAV

, not

ava

ilabl

e; N

AWQ

A, N

atio

nal W

ater

-Qua

lity

Ass

essm

ent P

rogr

am (U

.S. G

eolo

gica

l Sur

vey)

; OPP

, Offi

ce o

f Pe

stic

ide

Prog

ram

s; P

red,

pre

dict

ed c

once

ntra

tion;

SW

, sur

face

wat

er; U

R, u

rban

land

use

; µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

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ace

wat

erG

roun

dwat

er

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B

Q

valu

e

Max

B

Q

valu

e ty

pe

Pred

icte

d B

QM

easu

red

A

G o

r UR

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(m

ax)

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sure

d

dete

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n

freq

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y,

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erce

nt

Pred

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Q

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sure

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G, U

R or

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sure

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n

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LH

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GU

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nyl-

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s SW

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00

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Pred

SW

Para

quat

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7H

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cide

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023

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58A

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WPa

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ion-

met

hyl

298-

00-0

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ctic

ide

0.71

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50.

88–

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050

0.88

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s SW

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cide

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0.00

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140.

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12.6

0.00

41–

0.4

0.4

0.59

AL,

Pred

SW

Perm

ethr

in52

645-

53-1

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ctic

ide

73.3

0.00

51Se

e ci

s-

perm

e-

thrin

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cis-

pe

rme-

th

rin

See

cis-

pe

rme-

th

rin

See

cis-

pe

rme-

th

rin

0.04

3Se

e ci

s-

perm

e-

thrin

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cis-

pe

rme-

th

rin

See

cis-

pe

rme-

th

rin

73.3

AL,

Pred

SW

Phor

ate

298-

02-2

Inse

ctic

ide

2.5

0.02

3–

–0.

10

0.04

8–

00

2.5

AL,

Pred

SW

Phor

ate

oxon

2600

-69-

3D

egra

date

0.00

036

––

–0

0–

–0

00.

0003

6A

L,Pr

ed S

WPh

osm

et73

2-11

-6In

sect

icid

e0.

230.

0045

––

00

0.02

6–

00

0.23

AL,

Pred

SW

Phos

met

oxo

n37

35-3

3-9

Deg

rada

te0.

0006

2–

––

00

––

00

0.00

062

AL,

Pred

SW

Pipe

rony

l but

oxid

e51

-03-

6Sy

nerg

ist

0.01

3–

––

––

––

––

0.01

3A

L,Pr

ed S

WPr

ofen

ofos

4119

8-08

-7In

sect

icid

e0.

190.

020

––

00

0.37

–0

–0.

37H

H,P

red

GW

Prom

eton

1610

-18-

0H

erbi

cide

––

0.01

80.

0025

4181

–0.

0012

10.9

20.1

0.01

8A

L,M

eas

SWPr

omet

ryn

7287

-19-

6H

erbi

cide

0.64

0.00

055

––

12.8

1.3

0.00

057

–2.

50.

40.

64A

L,Pr

ed S

WPr

onam

ide

2395

0-58

-5H

erbi

cide

0.00

0092

0.01

80.

0003

30.

035

2.8

2.5

0.16

–0.

20.

020.

16H

H,P

red

GW

Prop

anil

709-

98-8

Her

bici

de0.

170.

058

0.02

6–

1.8

0.8

0.03

7–

0.3

0.1

0.17

AL,

Pred

SW

Prop

argi

te23

12-3

5-8

Inse

ctic

ide

0.00

480.

013

2.2

1.2

2.6

0.2

0.21

–0.

050

2.2

AL,

Mea

s SW

Prop

azin

e13

9-40

-2H

erbi

cide

0.00

013

0.00

14–

–12

.30

0.00

15–

1.2

00.

0015

HH

,Pre

d G

WPr

opic

onaz

ole

6020

7-90

-1Fu

ngic

ide

0.01

10.

0029

––

9.8

2.2

0.00

25–

0.4

0.3

0.01

1A

L,Pr

ed S

WPr

opox

ur11

4-26

-1In

sect

icid

e–

–0.

020

–1.

35.

8–

–0.

20.

60.

020

AL,

Mea

s SW

Page 60: Prioritizing Pesticide Compounds for Analytical Methods

46 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

5.

Benc

hmar

k qu

otie

nts

and

dete

ctio

n fre

quen

cies

for s

urfa

ce w

ater

and

gro

undw

ater

for T

ier 1

pes

ticid

es a

nd d

egra

date

s in

wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Bol

d in

dica

tes

benc

hmar

k qu

otie

nt (B

Q) g

reat

er th

an 0

.01.

Bol

d ita

lic in

dica

tes d

etec

tion

freq

uenc

y gr

eate

r tha

n 10

per

cent

. Abb

revi

atio

ns: A

G, a

gric

ultu

ral l

and

use;

AL,

aqu

atic

-life

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; GW

, gr

ound

wat

er; H

H, h

uman

-hea

lth; M

eas,

mea

sure

d co

ncen

tratio

n; M

X, m

ixed

land

use

; NAV

, not

ava

ilabl

e; N

AWQ

A, N

atio

nal W

ater

-Qua

lity

Ass

essm

ent P

rogr

am (U

.S. G

eolo

gica

l Sur

vey)

; OPP

, Offi

ce o

f Pe

stic

ide

Prog

ram

s; P

red,

pre

dict

ed c

once

ntra

tion;

SW

, sur

face

wat

er; U

R, u

rban

land

use

; µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Surf

ace

wat

erG

roun

dwat

er

Max

B

Q

valu

e

Max

B

Q

valu

e ty

pe

Pred

icte

d B

QM

easu

red

A

G o

r UR

BQ

(m

ax)

Mea

sure

d

dete

ctio

n

freq

uenc

y,

in p

erce

nt

Pred

icte

d B

Q

Mea

sure

d A

G, U

R or

M

X B

Q

(max

)

Mea

sure

d

dete

ctio

n

freq

uenc

y,

in p

erce

ntA

LH

HA

LH

HA

GU

RH

HH

HA

GU

RPr

osul

furo

n94

125-

34-5

Her

bici

de0.

036

0.00

12–

––

–0.

0015

––

–0.

036

AL,

Pred

SW

Pym

etro

zine

1233

12-8

9-0

Inse

ctic

ide

0.28

––

––

––

––

–0.

28A

L,Pr

ed S

WPy

racl

ostro

bin

1750

13-1

8-0

Fung

icid

e0.

055

0.00

016

––

––

0.00

096

––

–0.

055

AL,

Pred

SW

Pyre

thrin

s80

03-3

4-7

Inse

ctic

ide

0.25

––

––

––

––

–0.

25A

L,Pr

ed S

WPy

ridab

en96

489-

71-3

Inse

ctic

ide

0.02

8–

––

––

––

––

0.02

8A

L,Pr

ed S

WR

PA 2

0224

814

3701

-75-

1D

egra

date

0.00

72–

––

––

––

––

0.00

72A

L,Pr

ed S

WR

PA 2

0332

814

2994

-06-

7D

egra

date

0.00

0091

––

––

––

––

–0.

0000

91A

L,Pr

ed S

WSi

duro

n19

82-4

9-6

Her

bici

de–

––

–1

11–

–0.

090.

2–

–Si

maz

ine

122-

34-9

Her

bici

de0.

035

0.07

90.

250.

8953

.661

.80.

059

0.07

119

.217

.10.

89H

H,M

eas

SWS-

Met

olac

hlor

8739

2-12

-9H

erbi

cide

2.7

––

––

––

––

–2.

7A

L,Pr

ed S

WSu

lfom

etur

on-m

ethy

l74

222-

97-2

Her

bici

de–

––

–5.

216

.2–

–0.

60.

6–

–Su

lfosu

lfuro

n14

1776

-32-

1H

erbi

cide

0.96

––

––

––

––

–0.

96A

L,Pr

ed S

WTC

PSA

(Tric

hlor

opro

pene

su

lfoni

c ac

id)

6560

0-62

-6D

egra

date

––

––

––

––

––

––

Tebu

cona

zole

10

7534

-96-

3Fu

ngic

ide

0.00

014

––

–6.

415

––

00

0.00

014

AL,

Pred

SW

Tebu

pirim

fos

9618

2-53

-5In

sect

icid

e12

.9–

––

4.5

0–

–0

–12

.9A

L,Pr

ed S

WTe

bupi

rimfo

s oxy

gen

anal

ogue

NAV

Deg

rada

te–

––

–1.

10

––

0–

––

Tebu

thiu

ron

3401

4-18

-1H

erbi

cide

0.00

980.

0000

950.

032

0.00

068

22.1

28.6

0.00

015

0.00

011

2.2

5.4

0.03

2A

L,M

eas

SWTe

fluth

rin79

538-

32-2

Inse

ctic

ide

1.8

0.00

025

––

00

0.00

43–

00

1.8

AL,

Pred

SW

Teflu

thrin

met

abol

ite

[R 1

1936

4]N

AVD

egra

date

––

––

––

––

––

––

Teflu

thrin

met

abol

ite

[R 1

5291

2]N

AVD

egra

date

––

––

––

––

––

––

Terb

acil

5902

-51-

2H

erbi

cide

0.19

0.00

440.

0085

0.00

048

4.2

0.9

0.00

170.

0000

780.

81.

40.

19A

L,Pr

ed S

WTe

rbuf

os13

071-

79-9

Inse

ctic

ide

11.0

0.16

––

0.2

0.1

0.44

–0

0.2

11.0

AL,

Pred

SW

Terb

ufos

sulfo

ne56

070-

16-7

Deg

rada

te2.

2–

––

––

––

––

2.2

AL,

Pred

SW

Page 61: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 47

Tabl

e 5.

Be

nchm

ark

quot

ient

s an

d de

tect

ion

frequ

enci

es fo

r sur

face

wat

er a

nd g

roun

dwat

er fo

r Tie

r 1 p

estic

ides

and

deg

rada

tes

in w

ater

.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Bol

d in

dica

tes

benc

hmar

k qu

otie

nt (B

Q) g

reat

er th

an 0

.01.

Bol

d ita

lic in

dica

tes d

etec

tion

freq

uenc

y gr

eate

r tha

n 10

per

cent

. Abb

revi

atio

ns: A

G, a

gric

ultu

ral l

and

use;

AL,

aqu

atic

-life

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; GW

, gr

ound

wat

er; H

H, h

uman

-hea

lth; M

eas,

mea

sure

d co

ncen

tratio

n; M

X, m

ixed

land

use

; NAV

, not

ava

ilabl

e; N

AWQ

A, N

atio

nal W

ater

-Qua

lity

Ass

essm

ent P

rogr

am (U

.S. G

eolo

gica

l Sur

vey)

; OPP

, Offi

ce o

f Pe

stic

ide

Prog

ram

s; P

red,

pre

dict

ed c

once

ntra

tion;

SW

, sur

face

wat

er; U

R, u

rban

land

use

; µg/

L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S

Regi

stry

N

umbe

r

Prim

ary

pest

icid

e

type

/use

Surf

ace

wat

erG

roun

dwat

er

Max

B

Q

valu

e

Max

B

Q

valu

e ty

pe

Pred

icte

d B

QM

easu

red

A

G o

r UR

BQ

(m

ax)

Mea

sure

d

dete

ctio

n

freq

uenc

y,

in p

erce

nt

Pred

icte

d B

Q

Mea

sure

d A

G, U

R or

M

X B

Q

(max

)

Mea

sure

d

dete

ctio

n

freq

uenc

y,

in p

erce

ntA

LH

HA

LH

HA

GU

RH

HH

HA

GU

RTe

rbuf

os-O

-ana

logu

e su

lfone

5607

0-15

-6D

egra

date

0.00

12–

––

00.

2–

–0.

50

0.00

12A

L,Pr

ed S

WTe

rbut

hyla

zine

5915

-41-

3H

erbi

cide

––

––

8.8

17.3

––

00

––

Tetra

cona

zole

1122

81-7

7-3

Fung

icid

e0.

013

––

––

––

––

–0.

013

AL,

Pred

SW

Thio

benc

arb

2824

9-77

-6H

erbi

cide

0.23

0.00

076

4.4

0.00

154.

70.

70.

0022

–0.

10.

14.

4A

L,M

eas

SWtr

ans-

Met

hyl-3

-(2,

2-

dich

loro

viny

l)-2,

2-

dim

ethy

l-(1-

cycl

opro

pane

)-

carb

oxyl

ate

t618

98-9

5-1

Deg

rada

te–

––

–0

0–

–0

––

tran

s-Pr

opic

onaz

ole

t602

07-9

0-1

Fung

icid

eSe

e prop

i- co

nazo

le

See

pr

opi-

cona

zole

––

16.3

17.2

See

pr

opi-

cona

zole

–0.

40.

7–

Tria

llate

2303

-17-

5H

erbi

cide

0.00

390.

0004

10.

032

0.00

243.

61.

50.

0086

–0.

10.

090.

032

AL,

Mea

s SW

Trib

enur

on-m

ethy

l10

1200

-48-

0H

erbi

cide

0.00

250.

0090

––

––

0.02

6–

––

0.02

6H

H,P

red

GW

Trib

upho

s78

-48-

8D

efol

iant

0.17

0.00

76–

–0.

20

0.02

7–

00

0.17

AL,

Pred

SW

Tric

lopy

r55

335-

06-3

Her

bici

de0.

056

0.00

260.

034

–6.

39.

90.

0004

2–

00.

40.

056

AL,

Pred

SW

Trifl

oxys

trobi

n14

1517

-21-

7Fu

ngic

ide

0.05

80.

0000

92–

––

–0.

0005

4–

––

0.05

8A

L,Pr

ed S

WTr

iflur

alin

1582

-09-

8H

erbi

cide

0.72

0.00

754

0.07

10.

0010

1511

.60.

013

–0.

70.

60.

72A

L,Pr

ed S

WZi

ram

137-

30-4

Fung

icid

e0.

012

––

––

––

––

–0.

012

AL,

Pred

SW

1 D

etec

tion-

freq

uenc

y da

ta in

agr

icul

tura

l stre

ams f

or c

hlor

imur

on-e

thyl

, flum

etsu

lam

, and

nic

osul

furo

n co

me

from

Bat

tagl

in a

nd o

ther

s (20

00).

Det

ectio

n fr

eque

ncie

s in

pare

nthe

ses f

or th

ese

thre

e co

m-

poun

ds c

orre

spon

d to

det

ectio

n fr

eque

ncy

in th

e N

AWQ

A a

gric

ultu

ral s

tream

s dat

aset

.2 D

icof

ol w

as e

valu

ated

usi

ng a

n A

L be

nchm

ark

base

d on

a U

SEPA

OPP

chr

onic

fish

toxi

city

val

ue o

f 1 μ

g/L,

resu

lting

in a

n A

L B

Q fo

r pre

dict

ed c

once

ntra

tions

in st

ream

s gre

ater

than

0.0

1. N

ewly

rele

ased

O

PP A

L be

nchm

arks

(Sep

tem

ber 2

010)

incl

ude

a ch

roni

c fis

h be

nchm

ark

of 4

.4 μ

g/L.

The

resu

lting

BQ

usi

ng th

e ne

w b

ench

mar

k is

less

than

0.0

1. B

ecau

se th

is is

the

only

reas

on d

icof

ol w

as p

lace

d in

Tie

r 1,

its p

riorit

y w

ould

hav

e be

en lo

wer

(Tie

r 3) i

f the

upd

ated

ben

chm

arks

had

bee

n av

aila

ble

whe

n th

e pr

iorit

izat

ion

was

per

form

ed.

3 End

otha

ll w

as e

valu

ated

usi

ng a

n A

L be

nchm

ark

base

d on

a U

SEPA

OPP

acu

te n

on-v

ascu

lar p

lant

toxi

city

val

ue o

f 1.9

μg/

L, re

sulti

ng in

an

AL

BQ

for p

redi

cted

con

cent

ratio

ns in

stre

ams g

reat

er th

an

0.01

. New

ly re

leas

ed O

PP A

L be

nchm

arks

(Sep

tem

ber 2

010)

incl

ude

a ch

roni

c fis

h be

nchm

ark

of 1

,300

μg/

L fo

r end

otha

ll ac

id (h

owev

er th

ere

are

low

er b

ench

mar

k va

lues

for o

ther

form

ulat

ions

of e

ndot

hall,

in

clud

ing

a ch

roni

c in

verte

brat

e be

nchm

ark

of 2

.3 μ

g/L

for t

he N

,N-d

imet

hyla

lkyl

amin

e sa

lt). T

he re

sulti

ng B

Q u

sing

the

new

ben

chm

ark

for e

ndot

hall

is le

ss th

an 0

.01.

Bec

ause

this

is th

e on

ly re

ason

end

otha

ll w

as p

lace

d in

Tie

r 1, i

ts p

riorit

y w

ould

hav

e be

en lo

wer

(Tie

r 3) i

f the

upd

ated

ben

chm

arks

had

bee

n av

aila

ble

whe

n th

e pr

iorit

izat

ion

was

per

form

ed.

4 Flu

mic

lora

c w

as e

valu

ated

usi

ng a

n A

L be

nchm

ark

base

d on

a c

hron

ic fi

sh to

xici

ty v

alue

of 1

.49

μg/L

, est

imat

ed fr

om E

CO

SAR

, res

ultin

g in

an

AL

BQ

for p

redi

cted

con

cent

ratio

ns in

stre

ams g

reat

er th

an

0.01

. New

ly re

leas

ed O

PP A

L be

nchm

arks

(Sep

tem

ber 2

010)

incl

ude

an a

cute

fish

ben

chm

ark

of 5

50 μ

g/L

for fl

umic

lora

c-pe

ntyl

. The

resu

lting

BQ

usi

ng th

e ne

w b

ench

mar

k is

less

than

0.0

1. B

ecau

se th

is is

th

e on

ly re

ason

flum

iclo

rac

was

pla

ced

in T

ier 1

, its

prio

rity

wou

ld h

ave

been

low

er (T

ier 3

) if t

he u

pdat

ed b

ench

mar

ks h

ad b

een

avai

labl

e w

hen

the

prio

ritiz

atio

n w

as p

erfo

rmed

.

Page 62: Prioritizing Pesticide Compounds for Analytical Methods

48 Prioritizing Pesticide Compounds for Analytical Methods Development

Tier 1 pesticide compounds include a diverse range of chemical classes—nearly 40 unique classes in all. Five classes account for more than half of the total compounds in Tier 1: organophosphates are 15 percent, and acetanilides, triazines, carbamates, and ureas make up about 9 percent each (fig. 7). Four more chemical classes, azoles, anilines, organochlorines, and pyrethroids raise this to almost 75 percent of Tier 1 com-pounds, with the remainder made up of compounds in various other chemical classes (fig. 7).

Overall, of the 247 pesticide compounds in Tier 1, 142, or 57 percent, were identified as high priority because of poten-tial aquatic-life concerns; some of these compounds also could be high priority for human-health reasons (tables 4 and 5). Of the 142 compounds, 79 were classified on the basis of USEPA OPP’s aquatic-life benchmarks, and two compounds—dieldrin and p,pʹ-DDE—on the basis of USEPA NRWQC for aquatic life.

Potential concern for human health was the basis for Tier 1 classification of 61, or 25 percent, of the pesticide com-pounds; however, some of these compounds also could be high priority for aquatic-life reasons (tables 4 and 5). Of the 61 compounds, 40 are unregulated in drinking water and had BQ values calculated from USGS HBSLs. Many of the Tier 1 pesticide compounds are included in several national regula-tory programs related to drinking water. Of the compounds in Tier 1 for water, currently 12 are regulated in drinking water and have USEPA MCLs, and 29 compounds were included on USEPA’s most recently (September 2009) finalized CCL3. Further, 23 compounds have been monitored through USEPA’s UCM program and are included on the UCMR 1 or UCMR 2 lists (appendix 3).

Table 6. Counts summarizing the number of compounds that meet the criteria for Tier 1 for water.

[Abbreviations: AL, aquatic-life; BQ, benchmark quotient; DF, detection frequency; GW, groundwater; HH, human-health; SW, surface water; >, greater than; %, percent; –, none]

Medium: SW GW SW GWAll Tier 1

compounds 1Criterion

Measured AL BQ

Predicted AL BQ

Measured HH BQ

Predicted HH BQ

Measured HH BQ

Predicted HH BQ

DF >10%

Number of pesticide compounds

44 128 21 39 8 43 71 13 247

Percent of compounds with concentrations and benchmarks available

66 40 53 33 38 37 – – 79

1 Some pesticides meet more than one criteria for inclusion in Tier 1.

Other Important Compounds for Water–Tier 2A total of 97 pesticide compounds that are not in Tier 1

were identified as Tier 2, or moderate priority, because they are priorities of other agencies or organizations (appendix 3). Of these, eight have USEPA MCLs, and ten are on USEPA’s CCL3. While not meeting the criteria for Tier 1, these 18 com-pounds are considered higher priority for potential inclusion in analytical methods than other Tier 2 compounds because of their regulatory status or concern as potential drinking water contaminants (table 4). Five of the eight compounds that have MCLs (chlordane, endrin, heptachlor, heptachlor epoxide, and toxaphene) are organochlorine pesticides or degradates that also have USEPA NRWQC for aquatic life (table 4 and appendix 3); however, these are hydrophobic compounds that are unlikely to be detected in water. Additional agency or organization priorities contributed to classification of pesticide compounds as Tier 2, as described in the “Methods” section, including 14 compounds on the AAPCO SFIREG state list of pesticides of water quality concern; 16 compounds that have USEPA NRWQC for the protection of aquatic life; 9 com-pounds that have specific objectives for aquatic life from the Great Lakes Water Quality Agreement; 10 compounds that have Canadian water-quality guidelines for aquatic life; and 45 compounds that have recent (1997–2008) active ingredient registration with USEPA.

Page 63: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 49

sac11-0422_fig 05

Dete

ctio

n fr

eque

ncy,

in p

erce

nt

100

80

60

40

20

0

Dete

ctio

n fr

eque

ncy,

in p

erce

nt

100

80

60

40

20

0

0 10 20 30 40 50 60 70 80 90 100

Streams

Groundwater

Percentage of compounds

0 10 20 30 40 50 60 70 80 90 100

Percentage of compounds

Detection frequency = 10 percent

Agricultural (218 compounds)

Urban (188 compounds)

EXPLANATION

Detection frequency = 10 percent

Agricultural (216 compounds)

Urban (163 compounds)

EXPLANATION

Figure 5. Detection-frequency distributions for surface-water and groundwater pesticide datasets.

Page 64: Prioritizing Pesticide Compounds for Analytical Methods

50 Prioritizing Pesticide Compounds for Analytical Methods Development

Figure 7. Breakdown of Tier 1 pesticide compounds for water by chemical class.

Figure 6. Distribution of Tier 1 pesticide compounds for water among pesticide-use groups.

sac11-0422_fig 06

Fungicides8 percent

Herbicides28 percent

Fungicidedegradates2 percent

Fumigants,adjuvants,synergists2 percent

Insecticidedegradates16 percent

Insecticides22 percent

Herbicidedegradates22 percent

EXPLANATION

247 Tier 1 compounds

sac11-0422_fig 07

Acetanilides(23)

Organophosphates(38)

Triazines(23)

Ureas(21)

Azoles(17)

Anilines(14)

Carbamates(22)

Organochlorines(12)

Pyrethroids(12)

Amides(8)

StrobinsPyridines and pyridazinones

Polychlorinated aromaticsBenzoic acids

(4 in each)

Organotins and inorganicsImidazolinones

Chlorophenoxy acidsAliphatics(3 in each)

Other(29)

EXPLANATION

247 Tier 1 compounds

The number of compounds in each class is in parentheses.

Chemical classes with 2 or fewer compounds are aggregated to “Other”.

Page 65: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 51

Sediment

Priority Pesticide Compounds for SedimentA total of 175 pesticide and degradate compounds,

29 percent of the 611 compounds evaluated, were classified as Tier 1 for sediment and, thus, are high priority for inclusion in analytical methods available for monitoring and studies. More than 60 percent (106 compounds) of these compounds are included in some USGS analytical method; however, some are spread across several research methods that are expensive to perform, and monitoring data are not extensive for many compounds. The remaining about 40 percent, or 69 compounds, including 27 degradates, of Tier 1 compounds for sediment are high priority as new analytes. The objective for analytical methods development for sediment is to enhance an existing analytical method that currently includes nearly half of the pesticide compounds in Tier 1 by adding as many additional Tier 1 compounds that are analytically compatible. These high priority compounds are listed in table 7, along with the respective reasons for their Tier 1 status. The “Pathway to Tier 1” column in table 7 corresponds to the pathways in the flow chart for sediment prioritization (fig. 3 and table 2).

An additional 68 pesticide compounds did not meet the criteria for Tier 1 and were categorized as Tier 2 (moderate priority) according to the flow chart for the evaluation for sedi-ment (fig. 3 and table 2). The remaining 368 pesticide com-pounds were not identified as analytical priorities for sediment at this time and were placed in Tier 3.

Basis for High Priority of Pesticide Compounds in Sediment

The reasons for the high priority status of the 175 Tier 1 pesticide compounds are summarized in figure 8. Broken down by the evaluation pathways (fig. 3 and table 2), a total of 62 compounds, or 35 percent, are high priority on the basis of measured occurrence (fig. 8 and table 7). Table 8 summarizes sediment detection-frequency data for pesticide compounds from the three USGS datasets. Pesticide compounds in Tier 1 include 36 compounds that were frequently detected in USGS monitoring studies (pathway P1) and 26 that have a combi-nation of moderate occurrence, potential toxicity to aquatic life, and pesticide use (pathway P2; fig. 8 and table 7). Of the 36 frequently detected pesticide compounds, 17 are organo-chlorine pesticides or degradates, most of which are legacy compounds without current use. A total of 74 compounds,

or 42 percent, are high priority on the basis of predicted likelihood of occurrence in sediment and either aquatic-life toxicity or pesticide use, or both (pathways P4 and P5; fig. 8 and table 7). The remaining 39 pesticide compounds, or 22 percent, were placed in Tier 1 for sediment because they are degradates of Tier 1 parent compounds (pathway DEG1) or as a result of other factors (pathway OF1; fig. 8 and table 7).

The thresholds and decision criteria used to classify pesticide compounds into tiers for sediment were intention-ally conservative, resulting in a relatively large number of Tier 1 compounds, 175 in total. These compounds could be prioritized within the group according to program objectives, such as trends focusing on legacy PBTs, characterization of sediment toxicity, pesticide fate in sediments, or occurrence of current high-use pesticide compounds. The thresholds and decision criteria used in the prioritization procedure can be modified in order to focus on the highest priority compounds for a given objective. For example, a focus on trends of PBTs in sediment could give higher priority to pesticide compounds that are the most stable, hydrophobic, and toxic. Modifying the thresholds for these three parameters, as shown in table 9 for example, would identify a higher priority group within Tier 1 with respect to this objective. Collectively, if these thresholds were modified as shown in table 9, there would be 107 higher priority pesticide compounds within Tier 1 for sediment, and 39 percent of Tier 1 compounds would be lower priority.

The distribution of Tier 1 pesticide compounds for sedi-ment by pesticide-use group is shown in figure 9. As with water, Tier 1 for sediment includes compounds from the major pesticide-use groups. The largest single group accounts for 45 percent of the total and is composed of insecticides, includ-ing acaricides, and degradates. An additional 36 percent are herbicides, including defoliants and plant-growth regulators, and their degradates, and fungicides and degradates round out the remaining 19 percent of Tier 1 compounds (fig. 9). Col-lectively, pesticide degradates make up almost 30 percent of Tier 1 compounds, and three-quarters of those were included in Tier 1 because of their parent pesticide. The pesticide type, use group, for each Tier 1 compound is shown in table 7.

Tier 1 compounds for sediment are represented by a wide range of chemical classes—about 30 unique classes in all. Organochlorines and their degradates compose the largest group of Tier 1 compounds at 17 percent; other groups include azoles at 13 percent, anilines and anilides at 10 percent, and pyrethroids at 9 percent (fig. 10).

Page 66: Prioritizing Pesticide Compounds for Analytical Methods

52 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

7.

Tier

1 p

estic

ides

and

deg

rada

tes

in s

edim

ent w

ith p

athw

ays

for t

ier p

lace

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Pat

hway

s to

Tier

1

refe

r to

the

flow

cha

rt in

figu

re 3

and

are

des

crib

ed in

det

ail i

n ta

ble

2. A

bbre

viat

ions

: AL,

aqu

atic

-life

toxi

city

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; DEG

, deg

rada

te; G

LI, G

reat

Lak

es In

itiat

ive;

HL,

soil

half-

life;

HPV

, hig

h pr

oduc

tion

volu

me

chem

ical

; Kow

, oct

anol

-wat

er p

artit

ion

coef

ficie

nt; N

AV, n

ot a

vaila

ble;

OF,

oth

er fa

ctor

s; P

BT,

per

sist

ent,

bioa

ccum

ulat

ive

and

toxi

c; S

FIR

EG, S

tate

-FIF

RA

(Fed

eral

In

sect

icid

e, F

ungi

cide

, and

Rod

entic

ide A

ct) I

ssue

s Res

earc

h &

Eva

luat

ion

Gro

up; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

–, n

one]

Chem

ical

nam

eCA

S Re

gist

ry N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pare

nt

pest

icid

e (if

deg

rada

te)

Chem

ical

cl

ass

Path

way

to

Ti

er 1

On

a U

SGS

sedi

men

t m

etho

d?

Oth

er

agen

cy

prio

rity

Indi

cato

r for

m

odify

ing

thre

shol

ds

show

n in

ta

ble

91,

3-D

icar

bam

oyl-2

,4,5

,6-te

trach

loro

benz

ene

NAV

Deg

rada

teC

hlor

otha

loni

lPo

lych

lorin

ated

ar

omat

ic d

egra

date

DEG

1Ye

s–

AL,

HL

1-C

arba

moy

l-3-c

yano

-4-h

ydro

xy-2

,5,6

-tri

chlo

robe

nzen

eN

AVD

egra

date

Chl

orot

halo

nil

Poly

chlo

rinat

ed

arom

atic

deg

rada

teD

EG1

Yes

––

2-(4

-tert

-but

ylph

enox

y)-C

yclo

hexa

nol

1942

-71-

8D

egra

date

Prop

argi

teA

lipha

tic a

lcoh

olD

EG1

No

––

2,6-

Die

thyl

anili

ne57

9-66

-8D

egra

date

Ala

chlo

rA

nilin

eD

EG1

Yes

USE

PA

HPV

2-[(

2-Et

hyl-6

-met

hylp

heny

l)am

ino]

-1-p

ropa

nol

6152

0-53

-4D

egra

date

Met

olac

hlor

Ani

line

DEG

1N

o–

HL

2-C

hlor

o-2,

6-di

ethy

lace

tani

lide

6967

-29-

9D

egra

date

Ala

chlo

rA

ceta

nilid

e de

grad

ate

DEG

1Ye

s–

Kow

, AL

2-C

hlor

o-N

-(2-

ethy

l-6-

met

hylp

heny

l)ace

tam

ide

(Ace

toch

lor/M

etol

achl

or, s

econ

dary

am

ide)

3242

8-71

-0D

egra

date

Ace

toch

lor,

m

etol

achl

orC

hlor

oace

tani

lide

degr

adat

eD

EG1

No

––

2-H

ydro

xyat

razi

ne21

63-6

8-0

Deg

rada

teA

trazi

neTr

iazi

neD

EG1

No

SFIR

EG–

3,4-

Dic

hlor

oani

line

95-7

6-1

Deg

rada

teD

iuro

nA

nilin

eP1

Yes

USE

PA

HPV

Kow

, AL

3,5-

Dic

hlor

oani

line

626-

43-7

Deg

rada

teIp

rodi

one

Ani

line

DEG

1Ye

s–

Kow

, AL,

H

L3-

Phen

oxyb

enzo

ic a

cid

3739

-38-

6D

egra

date

Cyp

erm

ethr

in

(and

oth

er

pyre

thro

ids)

Ben

zoic

aci

dD

EG1

No

–K

ow, A

L

3-Ph

enox

yben

zyl a

lcoh

ol13

826-

35-2

Deg

rada

tePe

rmet

hrin

Dip

heny

l eth

erD

EG1

No

USE

PA

HPV

4-(H

ydro

xym

ethy

l)pen

dim

etha

lin56

750-

76-6

Deg

rada

tePe

ndim

etha

linD

initr

oani

line

DEG

1N

o–

AL

4,4’

-Dic

hlor

oben

zoph

enon

e90

-98-

2D

egra

date

p,p′

-DD

T, d

icof

olO

rgan

ochl

orin

eD

EG1

No

––

4-H

ydro

xy-2

,5,6

-tric

hlor

oiso

phth

alon

itrile

NAV

Deg

rada

teC

hlor

otha

loni

lPo

lych

lorin

ated

ar

omat

ic d

egra

date

DEG

1Ye

s–

Kow

, AL,

H

LA

lach

lor

1597

2-60

-8H

erbi

cide

–C

hlor

oace

tani

lide

P2Ye

sSF

IREG

–A

lach

lor e

than

e su

lfoni

c ac

id (E

SA),

seco

ndar

y am

ide

NAV

Deg

rada

teA

lach

lor

Chl

oroa

ceta

nilid

e de

grad

ate

DEG

1N

o–

Ala

chlo

r sul

fyni

lace

tic a

cid

(SA

A)

1409

39-1

6-8

Deg

rada

teA

lach

lor

Chl

oroa

ceta

nilid

e de

grad

ate

DEG

1N

o–

Ald

rin30

9-00

-2In

sect

icid

e–

Org

anoc

hlor

ine

P2Ye

sU

SEPA

PB

T–

Alle

thrin

584-

79-2

Inse

ctic

ide

–Py

reth

roid

P4Ye

s–

–al

pha-

Endo

sulfa

n95

9-98

-8In

sect

icid

e–

Org

anoc

hlor

ine

P1Ye

s–

Tabl

e 7.

Ti

er 1

pes

ticid

es a

nd d

egra

date

s in

sed

imen

t with

pat

hway

s fo

r tie

r pla

cem

ent.

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Pat

hway

s to

Tier

1

refe

r to

the

flow

cha

rt in

figu

re 3

and

are

des

crib

ed in

det

ail i

n ta

ble

2. A

bbre

viat

ions

: AL,

aqu

atic

-life

toxi

city

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; DEG

, deg

rada

te; G

LI, G

reat

Lak

es In

itiat

ive;

HL,

soil

half-

life;

HPV

, hig

h pr

oduc

tion

volu

me

chem

ical

; Kow

, oct

anol

-wat

er p

artit

ion

coef

ficie

nt; N

AV, n

ot a

vaila

ble;

OF,

oth

er fa

ctor

s; P

BT,

per

sist

ent,

bioa

ccum

ulat

ive

and

toxi

c; S

FIR

EG, S

tate

-FIF

RA

(Fed

eral

In

sect

icid

e, F

ungi

cide

, and

Rod

entic

ide A

ct) I

ssue

s Res

earc

h &

Eva

luat

ion

Gro

up; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

–, n

one]

Page 67: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 53

Tabl

e 7.

Ti

er 1

pes

ticid

es a

nd d

egra

date

s in

sed

imen

t with

pat

hway

s fo

r tie

r pla

cem

ent.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Pat

hway

s to

Tier

1

refe

r to

the

flow

cha

rt in

figu

re 3

and

are

des

crib

ed in

det

ail i

n ta

ble

2. A

bbre

viat

ions

: AL,

aqu

atic

-life

toxi

city

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; DEG

, deg

rada

te; G

LI, G

reat

Lak

es In

itiat

ive;

HL,

soil

half-

life;

HPV

, hig

h pr

oduc

tion

volu

me

chem

ical

; Kow

, oct

anol

-wat

er p

artit

ion

coef

ficie

nt; N

AV, n

ot a

vaila

ble;

OF,

oth

er fa

ctor

s; P

BT,

per

sist

ent,

bioa

ccum

ulat

ive

and

toxi

c; S

FIR

EG, S

tate

-FIF

RA

(Fed

eral

In

sect

icid

e, F

ungi

cide

, and

Rod

entic

ide A

ct) I

ssue

s Res

earc

h &

Eva

luat

ion

Gro

up; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

–, n

one]

Chem

ical

nam

eCA

S Re

gist

ry N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pare

nt

pest

icid

e (if

deg

rada

te)

Chem

ical

cl

ass

Path

way

to

Ti

er 1

On

a U

SGS

sedi

men

t m

etho

d?

Oth

er

agen

cy

prio

rity

Indi

cato

r for

m

odify

ing

thre

shol

ds

show

n in

ta

ble

9al

pha-

HC

H (a

lpha

-Hex

achl

oroc

yclo

hexa

ne)

319-

84-6

Inse

ctic

ide

mix

ture

co

mpo

nent

, by

-pro

duct

, de

grad

ate

gam

ma-

HC

H

(and

oth

er

HC

H is

omer

s)

Org

anoc

hlor

ine

DEG

1 &

O

F1

Yes

USE

PA

GLI

Kow

, AL

Am

inom

ethy

lpho

spho

nic

acid

1066

-51-

9D

egra

date

Gly

phos

ate

Deg

rada

te o

f am

ino

acid

der

ivat

ive

P5Ye

s–

AL

Atra

zine

1912

-24-

9H

erbi

cide

–Tr

iazi

neP2

Yes

USE

PA H

PV,

SFI

REG

Ben

flura

lin18

61-4

0-1

Her

bici

de–

Din

itroa

nilin

eP4

Yes

–H

LB

enom

yl17

804-

35-2

Fung

icid

e–

Ben

zim

idaz

ole

P4N

o–

–B

ensu

lide

741-

58-2

Her

bici

de–

Org

anop

hosp

horo

usP4

No

–A

LB

enzy

lade

nine

1214

-39-

7Pl

ant g

row

th

regu

lato

r–

Bot

anic

alP4

No

–A

L, H

L

beta

-End

osul

fan

3321

3-65

-9In

sect

icid

e–

Org

anoc

hlor

ine

P2Ye

s–

–be

ta-H

CH

319-

85-7

Inse

ctic

ide

mix

ture

co

mpo

nent

, by

-pro

duct

, de

grad

ate

gam

ma-

HC

H

(and

oth

er

HC

H is

omer

s)

Org

anoc

hlor

ine

P1Ye

sU

SEPA

G

LI–

Bife

nthr

in82

657-

04-3

Inse

ctic

ide

–Py

reth

roid

P1Ye

s–

–B

rom

ucon

azol

e11

6255

-48-

2Fu

ngic

ide

–C

onaz

ole

P4Ye

s–

Kow

Bup

rofe

zin

6932

7-76

-0In

sect

icid

e–

Unc

lass

ified

P4N

o–

–B

utra

lin33

629-

47-9

Her

bici

de–

Din

itroa

nilin

eP4

No

––

Chl

orda

ne57

-74-

9In

sect

icid

e–

Org

anoc

hlor

ine

P1Ye

sU

SEPA

PB

T,

GLI

Chl

orot

halo

nil

1897

-45-

6Fu

ngic

ide

–Po

lych

lorin

ated

ar

omat

icP2

Yes

SFIR

EG–

Chl

orpy

rifos

2921

-88-

2In

sect

icid

e–

Org

anop

hosp

hate

P1Ye

sSF

IREG

–ci

s-C

hlor

dane

5103

-71-

9In

sect

icid

e–

Org

anoc

hlor

ine

P1Ye

sU

SEPA

G

LI–

cis-

Met

hyl-3

-(2,

2-di

chlo

rovi

nyl)-

2,2-

di

met

hyl-(

1-cy

clop

ropa

ne)-

carb

oxyl

ate

c618

98-9

5-1

Deg

rada

teC

yflut

hrin

Alip

hatic

aci

d es

ter

DEG

1N

o–

Page 68: Prioritizing Pesticide Compounds for Analytical Methods

54 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

7.

Tier

1 p

estic

ides

and

deg

rada

tes

in s

edim

ent w

ith p

athw

ays

for t

ier p

lace

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Pat

hway

s to

Tier

1

refe

r to

the

flow

cha

rt in

figu

re 3

and

are

des

crib

ed in

det

ail i

n ta

ble

2. A

bbre

viat

ions

: AL,

aqu

atic

-life

toxi

city

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; DEG

, deg

rada

te; G

LI, G

reat

Lak

es In

itiat

ive;

HL,

soil

half-

life;

HPV

, hig

h pr

oduc

tion

volu

me

chem

ical

; Kow

, oct

anol

-wat

er p

artit

ion

coef

ficie

nt; N

AV, n

ot a

vaila

ble;

OF,

oth

er fa

ctor

s; P

BT,

per

sist

ent,

bioa

ccum

ulat

ive

and

toxi

c; S

FIR

EG, S

tate

-FIF

RA

(Fed

eral

In

sect

icid

e, F

ungi

cide

, and

Rod

entic

ide A

ct) I

ssue

s Res

earc

h &

Eva

luat

ion

Gro

up; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

–, n

one]

Chem

ical

nam

eCA

S Re

gist

ry N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pare

nt

pest

icid

e (if

deg

rada

te)

Chem

ical

cl

ass

Path

way

to

Ti

er 1

On

a U

SGS

sedi

men

t m

etho

d?

Oth

er

agen

cy

prio

rity

Indi

cato

r for

m

odify

ing

thre

shol

ds

show

n in

ta

ble

9ci

s-N

onac

hlor

5103

-73-

1In

sect

icid

e;

com

pone

nt o

f tot

al

chlo

rdan

e,

by-p

rodu

ct o

f te

chni

cal

ch

lord

ane

–O

rgan

ochl

orin

eP1

Yes

––

cis-

Perm

ethr

in61

949-

76-6

Inse

ctic

ide

–Py

reth

roid

P1Ye

s–

–ci

s-Pr

opic

onaz

ole

c602

07-9

0-1

Fung

icid

e–

Con

azol

eP4

Yes

–A

LC

lofe

ntez

ine

7411

5-24

-5In

sect

icid

e–

Tetra

zine

P4N

o–

AL

Cop

per h

ydro

xide

2042

7-59

-2Fu

ngic

ide/

m

icro

bioc

ide/

ne

mat

icid

e

–In

orga

nic

copp

erP5

Yes

–A

L

Cop

per s

ulfa

te77

58-9

8-7

Fung

icid

e/

alga

ecid

e/

mol

lusc

icid

e

–In

orga

nic

copp

erP4

Yes

––

Cou

maf

os56

-72-

4In

sect

icid

e/

acar

icid

e–

Org

anop

hosp

horo

usP4

No

––

Cyfl

uthr

in68

359-

37-5

Inse

ctic

ide

–Py

reth

roid

P2Ye

s–

–C

yhal

othr

in-g

amm

a76

703-

62-3

Inse

ctic

ide

–Py

reth

roid

P1Ye

s–

–C

yhal

othr

in (l

ambd

a-C

yhal

othr

in)

9146

5-08

-6In

sect

icid

e–

Pyre

thro

idP1

Yes

SFIR

EG–

Cyp

erm

ethr

in52

315-

07-8

Inse

ctic

ide

–Py

reth

roid

P2Ye

s–

–C

ypro

cona

zole

9436

1-06

-5Fu

ngic

ide

–C

onaz

ole

P2Ye

s–

AL

Cyp

rodi

nil

1215

52-6

1-2

Fung

icid

e–

Pyrim

idin

eP4

Yes

–H

LC

ytok

inin

s52

5-79

-1Pl

ant g

row

th

regu

lato

r–

Bot

anic

alP4

No

–A

L

Dac

thal

1861

-32-

1H

erbi

cide

–C

hlor

oben

zoic

aci

d es

ter

P1Ye

sSF

IREG

Dac

thal

mon

oaci

d88

7-54

-7D

egra

date

Dac

thal

Chl

orob

enzo

ic a

cid

este

rD

EG1

No

SFIR

EGK

ow, A

L

Dec

hlor

oala

chlo

rN

AVD

egra

date

Ala

chlo

rC

hlor

oace

tani

lide

degr

adat

eD

EG1

No

––

Dec

hlor

omet

olac

hlor

NAV

Deg

rada

teM

etol

achl

orC

hlor

oace

tani

lide

degr

adat

eD

EG1

No

––

Page 69: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 55

Tabl

e 7.

Ti

er 1

pes

ticid

es a

nd d

egra

date

s in

sed

imen

t with

pat

hway

s fo

r tie

r pla

cem

ent.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Pat

hway

s to

Tier

1

refe

r to

the

flow

cha

rt in

figu

re 3

and

are

des

crib

ed in

det

ail i

n ta

ble

2. A

bbre

viat

ions

: AL,

aqu

atic

-life

toxi

city

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; DEG

, deg

rada

te; G

LI, G

reat

Lak

es In

itiat

ive;

HL,

soil

half-

life;

HPV

, hig

h pr

oduc

tion

volu

me

chem

ical

; Kow

, oct

anol

-wat

er p

artit

ion

coef

ficie

nt; N

AV, n

ot a

vaila

ble;

OF,

oth

er fa

ctor

s; P

BT,

per

sist

ent,

bioa

ccum

ulat

ive

and

toxi

c; S

FIR

EG, S

tate

-FIF

RA

(Fed

eral

In

sect

icid

e, F

ungi

cide

, and

Rod

entic

ide A

ct) I

ssue

s Res

earc

h &

Eva

luat

ion

Gro

up; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

–, n

one]

Chem

ical

nam

eCA

S Re

gist

ry N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pare

nt

pest

icid

e (if

deg

rada

te)

Chem

ical

cl

ass

Path

way

to

Ti

er 1

On

a U

SGS

sedi

men

t m

etho

d?

Oth

er

agen

cy

prio

rity

Indi

cato

r for

m

odify

ing

thre

shol

ds

show

n in

ta

ble

9D

eeth

ylhy

drox

yatra

zine

NAV

Deg

rada

teA

trazi

ne,

cyan

azin

e,

sim

azin

e

Tria

zine

DEG

1N

o–

Dei

sopr

opyl

pro

met

ryn

NAV

Deg

rada

tePr

omet

ryn

Tria

zine

DEG

1N

o–

–de

lta-H

CH

319-

86-8

Inse

ctic

ide

mix

ture

co

mpo

nent

, by

-pro

duct

, de

grad

ate

gam

ma-

HC

H

(and

oth

er

HC

H is

omer

s)

Org

anoc

hlor

ine

P1Ye

sU

SEPA

G

LI–

Des

ulfin

ylfip

roni

l (M

B46

513)

NAV

Deg

rada

teFi

pron

ilPh

enyl

pyra

zole

de

grad

ate

DEG

1Ye

s–

Des

ulfin

ylfip

roni

l am

ide

(RPA

105

048)

NAV

Deg

rada

teFi

pron

ilPh

enyl

pyra

zole

de

grad

ate

DEG

1Ye

s–

Dia

zino

n33

3-41

-5In

sect

icid

e–

Org

anot

hiop

hosp

hate

P2Ye

sSF

IREG

–D

icof

ol11

5-32

-2In

sect

icid

e–

Org

anoc

hlor

ine

P4N

o–

–D

ield

rin60

-57-

1In

sect

icid

e–

Org

anoc

hlor

ine

P1Ye

sU

SEPA

G

LI–

Dife

ncon

azol

e11

9446

-68-

3Fu

ngic

ide

–C

onaz

ole

P4Ye

s–

AL

Dife

nzoq

uat

4986

6-87

-7H

erbi

cide

–Py

razo

leP4

No

–A

LD

iqua

t85

-00-

7H

erbi

cide

–B

ipyr

idyl

ium

P4N

o–

–D

isul

foto

n29

8-04

-4In

sect

icid

e–

Org

anot

hiop

hosp

hate

P4Ye

s–

HL

Dith

iopy

r97

886-

45-8

Her

bici

de–

Pyrid

ine

P4N

o–

–D

iuro

n33

0-54

-1H

erbi

cide

–U

rea

OF1

No

USE

PA

HPV

, SF

IREG

Kow

Emam

ectin

1555

69-9

1-8

Inse

ctic

ide

–B

otan

ical

, ave

rmec

tinP4

No

––

Endo

sulfa

n11

5-29

-7In

sect

icid

e–

Org

anoc

hlor

ine

P1Ye

sSF

IREG

–En

dosu

lfan

ethe

r33

69-5

2-6

Deg

rada

teal

pha-

Endo

sulfa

nO

rgan

ochl

orin

eD

EG1

No

––

Endo

sulfa

n su

lfate

1031

-07-

8D

egra

date

Endo

sulfa

nO

rgan

ochl

orin

eD

EG1

Yes

––

EPTC

(S-E

thyl

dip

ropy

lthio

carb

amat

e)

759-

94-4

Her

bici

de–

Thio

carb

amat

eP1

Yes

––

Esfe

nval

erat

e66

230-

04-4

Inse

ctic

ide

–Py

reth

roid

P1Ye

sSF

IREG

–Et

halfl

ural

in55

283-

68-6

Her

bici

de–

Din

itroa

nilin

eP2

Yes

––

Fena

rimol

6016

8-88

-9Fu

ngic

ide

–Py

rimid

ine

P4Ye

s–

Kow

, AL

Fenb

ucon

azol

e11

4369

-43-

6Fu

ngic

ide

–C

onaz

ole

P4Ye

s–

AL

Page 70: Prioritizing Pesticide Compounds for Analytical Methods

56 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

7.

Tier

1 p

estic

ides

and

deg

rada

tes

in s

edim

ent w

ith p

athw

ays

for t

ier p

lace

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Pat

hway

s to

Tier

1

refe

r to

the

flow

cha

rt in

figu

re 3

and

are

des

crib

ed in

det

ail i

n ta

ble

2. A

bbre

viat

ions

: AL,

aqu

atic

-life

toxi

city

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; DEG

, deg

rada

te; G

LI, G

reat

Lak

es In

itiat

ive;

HL,

soil

half-

life;

HPV

, hig

h pr

oduc

tion

volu

me

chem

ical

; Kow

, oct

anol

-wat

er p

artit

ion

coef

ficie

nt; N

AV, n

ot a

vaila

ble;

OF,

oth

er fa

ctor

s; P

BT,

per

sist

ent,

bioa

ccum

ulat

ive

and

toxi

c; S

FIR

EG, S

tate

-FIF

RA

(Fed

eral

In

sect

icid

e, F

ungi

cide

, and

Rod

entic

ide A

ct) I

ssue

s Res

earc

h &

Eva

luat

ion

Gro

up; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

–, n

one]

Chem

ical

nam

eCA

S Re

gist

ry N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pare

nt

pest

icid

e (if

deg

rada

te)

Chem

ical

cl

ass

Path

way

to

Ti

er 1

On

a U

SGS

sedi

men

t m

etho

d?

Oth

er

agen

cy

prio

rity

Indi

cato

r for

m

odify

ing

thre

shol

ds

show

n in

ta

ble

9Fe

nbut

atin

oxi

de13

356-

08-6

Inse

ctic

ide

–O

rgan

otin

P4N

o–

–Fe

npro

path

rin39

515-

41-8

Inse

ctic

ide

–Py

reth

roid

P2Ye

s–

–Fe

npyr

oxim

ate

1340

98-6

1-6

Inse

ctic

ide

–Py

razo

leP4

No

–A

L, H

LFe

nthi

on55

-38-

9In

sect

icid

e–

Org

anop

hosp

horo

usP4

Yes

–H

LFe

nthi

on su

lfone

oxy

gen

anal

ogN

AVD

egra

date

Fent

hion

Org

anop

hosp

horo

usD

EG1

No

––

Fent

in h

ydro

xide

(TPT

H, T

riphe

nylti

n hy

drox

ide)

76-8

7-9

Fung

icid

e/

mol

lusc

icid

e/

herb

icid

e

–O

rgan

otin

P4N

oU

SEPA

H

PV–

Fenv

aler

ate

5163

0-58

-1In

sect

icid

e–

Pyre

thro

idP4

No

–H

LFi

pron

il12

0068

-37-

3In

sect

icid

e–

Phen

ylpy

razo

leP2

Yes

––

Fipr

onil

sulfi

de12

0067

-83-

6D

egra

date

Fipr

onil

Phen

ylpy

razo

le

degr

adat

eD

EG1

Yes

––

Fipr

onil

sulfo

ne12

0068

-36-

2D

egra

date

Fipr

onil

Phen

ylpy

razo

le

degr

adat

eP2

Yes

–A

L

Flua

zina

m79

622-

59-6

Fung

icid

e–

Pyrid

ine

P4Ye

s–

–Fl

udio

xoni

l13

1341

-86-

1Fu

ngic

ide

–Py

rrol

eP4

Yes

–A

LFl

ufen

acet

1424

59-5

8-3

Her

bici

de–

Ani

lide

P4N

o–

Kow

, AL,

H

LFl

ufen

acet

ESA

NAV

Deg

rada

teFl

ufen

acet

Ani

lide

degr

adat

e -s

ulfo

nic

acid

DEG

1N

o–

Fluf

enac

et o

xani

lic a

cid

(OA

)N

AVD

egra

date

Fluf

enac

etA

nilid

e de

grad

ate

-oxa

nilic

aci

dD

EG1

No

–H

L

Flum

etra

lin62

924-

70-3

Plan

t gro

wth

re

gula

tor

–D

initr

oani

line

P4N

o–

Flut

olan

il66

332-

96-5

Fung

icid

e–

Ani

lide

P4N

o–

Kow

, AL

gam

ma-

HC

H58

-89-

9In

sect

icid

e–

Org

anoc

hlor

ine

P1Ye

sU

SEPA

G

LI,

SFIR

EG

Gly

phos

ate

1071

-83-

6H

erbi

cide

–A

min

o ac

id d

eriv

ativ

eP4

Yes

SFIR

EGA

L, H

LH

epta

chlo

r76

-44-

8In

sect

icid

e–

Org

anoc

hlor

ine

P2Ye

sU

SEPA

PB

T–

Hep

tach

lor e

poxi

de10

24-5

7-3

Deg

rada

teH

epta

chlo

rO

rgan

ochl

orin

eP1

Yes

––

Hex

achl

orob

enze

ne11

8-74

-1In

sect

icid

e–

Org

anoc

hlor

ine

P2Ye

s–

–H

ydro

xyal

achl

orN

AVD

egra

date

Ala

chlo

rC

hlor

oace

tani

lide

degr

adat

eD

EG1

No

––

Page 71: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 57

Tabl

e 7.

Ti

er 1

pes

ticid

es a

nd d

egra

date

s in

sed

imen

t with

pat

hway

s fo

r tie

r pla

cem

ent.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Pat

hway

s to

Tier

1

refe

r to

the

flow

cha

rt in

figu

re 3

and

are

des

crib

ed in

det

ail i

n ta

ble

2. A

bbre

viat

ions

: AL,

aqu

atic

-life

toxi

city

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; DEG

, deg

rada

te; G

LI, G

reat

Lak

es In

itiat

ive;

HL,

soil

half-

life;

HPV

, hig

h pr

oduc

tion

volu

me

chem

ical

; Kow

, oct

anol

-wat

er p

artit

ion

coef

ficie

nt; N

AV, n

ot a

vaila

ble;

OF,

oth

er fa

ctor

s; P

BT,

per

sist

ent,

bioa

ccum

ulat

ive

and

toxi

c; S

FIR

EG, S

tate

-FIF

RA

(Fed

eral

In

sect

icid

e, F

ungi

cide

, and

Rod

entic

ide A

ct) I

ssue

s Res

earc

h &

Eva

luat

ion

Gro

up; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

–, n

one]

Chem

ical

nam

eCA

S Re

gist

ry N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pare

nt

pest

icid

e (if

deg

rada

te)

Chem

ical

cl

ass

Path

way

to

Ti

er 1

On

a U

SGS

sedi

men

t m

etho

d?

Oth

er

agen

cy

prio

rity

Indi

cato

r for

m

odify

ing

thre

shol

ds

show

n in

ta

ble

9H

ydro

xym

etol

achl

or13

1068

-72-

9D

egra

date

Met

olac

hlor

Chl

oroa

ceta

nilid

e de

grad

ate

DEG

1N

o–

Imaz

amox

1143

11-3

2-9

Her

bici

de–

Imid

azol

inon

eP4

No

––

Ipro

dion

e36

734-

19-7

Fung

icid

e–

Dic

arbo

xim

ide

P1Ye

s–

–Is

oxab

en82

558-

50-7

Her

bici

de–

Am

ide

P4N

o–

Kow

Kre

soxi

m-m

ethy

l14

3390

-89-

0Fu

ngic

ide

–St

robi

nP4

Yes

–K

owM

etco

nazo

le12

5116

-23-

6Fu

ngic

ide

–C

onaz

ole

P4Ye

s–

AL

Met

hoxy

chlo

r72

-43-

5In

sect

icid

e–

Org

anoc

hlor

ine

P2Ye

sU

SEPA

PB

T–

Met

hoxy

feno

zide

1610

50-5

8-4

Inse

ctic

ide

–D

iacy

lhyd

razi

ne

P4N

o–

Kow

Met

olac

hlor

5121

8-45

-2H

erbi

cide

–C

hlor

oace

tani

lide

P1Ye

sSF

IREG

–M

irex

2385

-85-

5In

sect

icid

e–

Org

anoc

hlor

ine

P2Ye

sU

SEPA

G

LI–

Myc

lobu

tani

l88

671-

89-0

Fung

icid

e–

Con

azol

eP1

Yes

––

Nap

hthy

lace

tam

ide

86-8

6-2

Plan

t gro

wth

re

gula

tor

–B

otan

ical

, nap

htha

lene

ac

etic

aci

d de

rivat

ive

P4Ye

s–

AL

Nap

ropa

mid

e15

299-

99-7

Her

bici

de–

Am

ide

P2Ye

sSF

IREG

AL

Nov

alur

on11

6714

-46-

6H

erbi

cide

–B

enzo

ylur

eaP4

No

––

o,p′

-DD

D (o

,p′-D

ichl

orod

iphe

nyl-d

ichl

oroe

than

e)53

-19-

0D

egra

date

DD

TO

rgan

ochl

orin

eP1

Yes

USE

PA

GLI

o,p′

-DD

E (o

,p′-D

ichl

orod

iphe

nyl-d

ichl

oroe

thyl

ene)

3424

-82-

6D

egra

date

DD

TO

rgan

ochl

orin

eP2

Yes

USE

PA

GLI

o,p′

-DD

T (o

,p′-D

ichl

orod

iphe

nyl-t

richl

oroe

than

e)78

9-02

-6D

egra

date

DD

TO

rgan

ochl

orin

eP2

Yes

USE

PA

GLI

Ory

zalin

1904

4-88

-3H

erbi

cide

–D

initr

oani

line

P4N

o–

Kow

Oxa

diaz

on19

666-

30-9

Her

bici

de–

Oxa

diaz

olon

eP4

No

––

Oxy

chlo

rdan

e27

304-

13-8

Deg

rada

te;

com

pone

nt o

f to

tal c

hlor

dane

Chl

orda

neO

rgan

ochl

orin

eP1

Yes

––

Oxy

fluor

fen

4287

4-03

-3H

erbi

cide

–D

iphe

nyl e

ther

P1Ye

s–

–p,

p′-D

DD

72-5

4-8

Deg

rada

teD

DT

Org

anoc

hlor

ine

P1Ye

sU

SEPA

G

LI–

p,p′

-DD

E72

-55-

9D

egra

date

DD

TO

rgan

ochl

orin

eP1

Yes

USE

PA

GLI

Page 72: Prioritizing Pesticide Compounds for Analytical Methods

58 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

7.

Tier

1 p

estic

ides

and

deg

rada

tes

in s

edim

ent w

ith p

athw

ays

for t

ier p

lace

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Pat

hway

s to

Tier

1

refe

r to

the

flow

cha

rt in

figu

re 3

and

are

des

crib

ed in

det

ail i

n ta

ble

2. A

bbre

viat

ions

: AL,

aqu

atic

-life

toxi

city

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; DEG

, deg

rada

te; G

LI, G

reat

Lak

es In

itiat

ive;

HL,

soil

half-

life;

HPV

, hig

h pr

oduc

tion

volu

me

chem

ical

; Kow

, oct

anol

-wat

er p

artit

ion

coef

ficie

nt; N

AV, n

ot a

vaila

ble;

OF,

oth

er fa

ctor

s; P

BT,

per

sist

ent,

bioa

ccum

ulat

ive

and

toxi

c; S

FIR

EG, S

tate

-FIF

RA

(Fed

eral

In

sect

icid

e, F

ungi

cide

, and

Rod

entic

ide A

ct) I

ssue

s Res

earc

h &

Eva

luat

ion

Gro

up; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

–, n

one]

Chem

ical

nam

eCA

S Re

gist

ry N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pare

nt

pest

icid

e (if

deg

rada

te)

Chem

ical

cl

ass

Path

way

to

Ti

er 1

On

a U

SGS

sedi

men

t m

etho

d?

Oth

er

agen

cy

prio

rity

Indi

cato

r for

m

odify

ing

thre

shol

ds

show

n in

ta

ble

9p,

p′-D

DT

50-2

9-3

Inse

ctic

ide/

ac

aric

ide

–O

rgan

ochl

orin

eP1

Yes

USE

PA

GLI

Pacl

obut

razo

l76

738-

62-0

Plan

t gro

wth

re

gula

tor

–A

zole

P4N

o–

Kow

, AL

Para

quat

4685

-14-

7H

erbi

cide

–B

ipyr

idyl

ium

P4Ye

s–

–Pa

rath

ion-

met

hyl

298-

00-0

Inse

ctic

ide

–O

rgan

othi

opho

spha

teP2

Yes

––

PCN

B (P

enta

chlo

roni

trobe

nzen

e)82

-68-

8Fu

ngic

ide

–Su

bstit

uted

ben

zene

P4Ye

s–

AL

Pebu

late

1114

-71-

2H

erbi

cide

–Th

ioca

rbam

ate

P2Ye

s–

AL

Pend

imet

halin

4048

7-42

-1H

erbi

cide

–D

initr

oani

line

P1Ye

sU

SEPA

PB

T,

SFIR

EG

Pent

achl

oroa

niso

le18

25-2

1-4

Deg

rada

tePe

ntac

hlor

ophe

nol

Subs

titut

ed b

enze

neP2

Yes

––

Perm

ethr

in52

645-

53-1

Inse

ctic

ide

–Py

reth

roid

P1Ye

s–

–Ph

enm

edip

ham

1368

4-63

-4H

erbi

cide

–C

arba

mat

eP4

No

–K

ow, A

L,

HL

Phor

ate

298-

02-2

Inse

ctic

ide

–O

rgan

othi

opho

spha

teP4

Yes

–K

owPr

odia

min

e29

091-

21-2

Her

bici

de–

Din

itroa

nilin

eP4

No

–A

LPr

omet

ryn

7287

-19-

6H

erbi

cide

–Tr

iazi

neP1

Yes

SFIR

EGK

owPr

onam

ide

2395

0-58

-5H

erbi

cide

–A

mid

eP4

Yes

–K

ow, A

LPr

opar

gite

2312

-35-

8In

sect

icid

e–

Sulfi

te e

ster

P4Ye

s–

–Pr

opic

onaz

ole

6020

7-90

-1Fu

ngic

ide

–C

onaz

ole

P4Ye

sSF

IREG

Kow

, AL

Pym

etro

zine

1233

12-8

9-0

Inse

ctic

ide

–Py

ridin

e az

omet

hine

sP4

No

–H

LPy

racl

ostro

bin

1750

13-1

8-0

Fung

icid

e–

Stro

bin

P4Ye

s–

–Py

ridab

en96

489-

71-3

Inse

ctic

ide

–Py

ridaz

inon

eP4

No

––

Qui

nclo

rac

8408

7-01

-4H

erbi

cide

–Q

uino

linec

arbo

xylic

ac

idP4

No

–A

L

Qui

noxy

fen

1244

95-1

8-7

Fung

icid

e–

Qui

nolin

eP4

No

–A

LSa

badi

lla80

51-0

2-3

Inse

ctic

ide

–B

otan

ical

P4N

o–

AL

S-M

etol

achl

or87

392-

12-9

Her

bici

de–

Chl

oroa

ceta

nilid

eP1

No

––

TCPS

A (T

richl

orop

rope

ne su

lfoni

c ac

id)

6560

0-62

-6D

egra

date

Tria

llate

Sulfo

nic

acid

est

erD

EG1

No

––

Tebu

cona

zole

10

7534

-96-

3Fu

ngic

ide

–C

onaz

ole

P4Ye

s–

Kow

, AL

Tebu

feno

zide

1124

10-2

3-8

Inse

ctic

ide

–D

iacy

lhyd

razi

neP4

No

–A

LTe

bupi

rimfo

s96

182-

53-5

Inse

ctic

ide

–O

rgan

othi

opho

spha

teP4

No

––

Tebu

pirim

fos o

xyge

n an

alog

ueN

AVD

egra

date

Tebu

pirim

fos

Org

anop

hosp

hate

DEG

1N

o–

Page 73: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 59

Tabl

e 7.

Ti

er 1

pes

ticid

es a

nd d

egra

date

s in

sed

imen

t with

pat

hway

s fo

r tie

r pla

cem

ent.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Pat

hway

s to

Tier

1

refe

r to

the

flow

cha

rt in

figu

re 3

and

are

des

crib

ed in

det

ail i

n ta

ble

2. A

bbre

viat

ions

: AL,

aqu

atic

-life

toxi

city

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; DEG

, deg

rada

te; G

LI, G

reat

Lak

es In

itiat

ive;

HL,

soil

half-

life;

HPV

, hig

h pr

oduc

tion

volu

me

chem

ical

; Kow

, oct

anol

-wat

er p

artit

ion

coef

ficie

nt; N

AV, n

ot a

vaila

ble;

OF,

oth

er fa

ctor

s; P

BT,

per

sist

ent,

bioa

ccum

ulat

ive

and

toxi

c; S

FIR

EG, S

tate

-FIF

RA

(Fed

eral

In

sect

icid

e, F

ungi

cide

, and

Rod

entic

ide A

ct) I

ssue

s Res

earc

h &

Eva

luat

ion

Gro

up; U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey;

–, n

one]

Chem

ical

nam

eCA

S Re

gist

ry N

umbe

r

Prim

ary

pest

icid

e

type

/use

Prim

ary

pare

nt

pest

icid

e (if

deg

rada

te)

Chem

ical

cl

ass

Path

way

to

Ti

er 1

On

a U

SGS

sedi

men

t m

etho

d?

Oth

er

agen

cy

prio

rity

Indi

cato

r for

m

odify

ing

thre

shol

ds

show

n in

ta

ble

9Te

fluth

rin79

538-

32-2

Inse

ctic

ide

–Py

reth

roid

P4Ye

s–

HL

Teflu

thrin

met

abol

ite [R

119

364]

NAV

Deg

rada

teTe

fluth

rinPy

reth

roid

DEG

1N

o–

–Te

fluth

rin m

etab

olite

[R 1

5291

2]N

AVD

egra

date

Teflu

thrin

Pyre

thro

idD

EG1

No

––

Terb

uthy

lazi

ne59

15-4

1-3

Her

bici

de–

Tria

zine

P2Ye

sU

SEPA

H

PVA

L

Tetra

cona

zole

1122

81-7

7-3

Fung

icid

e–

Con

azol

eP1

Yes

––

Tetra

difo

n11

6-29

-0A

caric

ide

–B

ridge

d di

phen

ylP4

Yes

–A

LTh

iazo

pyr

1177

18-6

0-2

Her

bici

de–

Pyrid

ine

P4N

o–

Kow

, AL

Thio

benc

arb

2824

9-77

-6H

erbi

cide

–Th

ioca

rbam

ate

P2Ye

s–

–tr

ans-

Chl

orda

ne51

03-7

4-2

Inse

ctic

ide

–O

rgan

ochl

orin

eP1

Yes

USE

PA

GLI

tran

s-M

ethy

l-3-(

2,2-

dich

loro

viny

l)-2,

2-

dim

ethy

l-(1-

cycl

opro

pane

)-ca

rbox

ylat

et6

1898

-95-

1D

egra

date

Cyfl

uthr

inA

lipha

tic a

cid

este

rD

EG1

No

––

tran

s-N

onac

hlor

3976

5-80

-5In

sect

icid

e;

com

pone

nt o

f to

tal c

hlor

dane

, by

-pro

duct

of

tech

nica

l ch

lord

ane

–O

rgan

ochl

orin

eP1

Yes

––

tran

s-Pe

rmet

hrin

6194

9-77

-7In

sect

icid

e–

Pyre

thro

idP2

Yes

––

tran

s-Pr

opic

onaz

ole

t602

07-9

0-1

Fung

icid

e–

Con

azol

eP4

Yes

–A

LTr

iadi

men

ol55

219-

65-3

Fung

icid

e–

Con

azol

eP4

Yes

–K

ow, A

LTr

ialla

te23

03-1

7-5

Her

bici

de–

Thio

carb

amat

eP4

No

SFIR

EGA

LTr

ibup

hos

78-4

8-8

Def

olia

nt–

Org

anot

hiop

hosp

hate

P4Ye

s–

–Tr

iclo

pyr

5533

5-06

-3H

erbi

cide

–C

hlor

opyr

idin

ylP4

No

SFIR

EGA

L, H

LTr

iflur

alin

1582

-09-

8H

erbi

cide

–D

initr

oani

line

P1Ye

sU

SEPA

PB

T, S

FIR

EG

Uni

cona

zole

8365

7-17

-4Pl

ant g

row

th

regu

lato

r–

Con

azol

eP4

No

–K

ow, A

L

Vin

cloz

olin

5047

1-44

-8Fu

ngic

ide

–D

icar

boxi

mid

eP4

Yes

–K

ow, A

L,

HL

zeta

-Cyp

erm

ethr

in69

865-

47-0

Inse

ctic

ide

–Py

reth

roid

P4Ye

s–

Page 74: Prioritizing Pesticide Compounds for Analytical Methods

60 Prioritizing Pesticide Compounds for Analytical Methods Development

Some of the Tier 1 pesticide compounds for sediment are included in national regulatory or other programs that are not necessarily sediment-specific. These include six compounds that are listed as USEPA Toxics Release Inventory PBT chemi-cals, and fifteen that are listed as bioaccumulative chemicals of concern in the Great Lakes (USEPA Great Lakes Initiative; table 7). A total of nineteen Tier 1 compounds have at least one sediment benchmark for aquatic organisms. Additionally, 22 compounds are listed on the AAPCO SFIREG state list of pesticides of water-quality concern. And finally, seven com-pounds are USEPA high production volume (HPV) chemicals (table 7).

Of the 175 compounds in Tier 1 for sediment, 45 percent are very highly toxic to aquatic organisms (as defined by USEPA, http://www.epa.gov/oppefed1/ecorisk_ders/toera_analysis_eco.htm); these correspond to compounds in AL Toxicity Bin 1 (appendix 4). An additional 32 percent are in AL Toxicity Bin 2. Together, more than three-quarters of

Tier 1 pesticide compounds were classified as “high” toxicity as defined for this evaluation (fig. 3 and appendix 4).

Other Important Compounds for Sediment–Tier 2An additional 68 pesticide compounds did not meet the

criteria for Tier 1, but were categorized as Tier 2 (moder-ate priority). Of these 68 pesticide compounds, only 3 were categorized as such on the basis of moderate measured occur-rence (pathways P6a and P6b), whereas 46 compounds were included on the basis of predicted likelihood for occurrence in sediment but have low, or unknown, toxicity or no current use (pathways P8a and P8b; fig. 3 and table 2). Another 19 com-pounds had other factors that elevated them from low priority (Tier 3) or downgraded them from high priority (Tier 1), or were degradates of parent pesticide compounds in the same tier.

sac11-0422_fig 08

P1

P2

DEG

P4

EXPLANATION

175 Tier 1 compounds

Pathways to Tier 1 (number of compounds). See figure 3 and table 2 for further details about pathways.

P1 (36) - detection frequency greater than 10 percent

P2 (26) - detection frequency greater than 1 to 10 percent, moderate to high aquatic toxicity, and current use or half life greater than 1 year

P4 (72) - potential to occur in sediment, moderate to high aquatic toxicity, and current use or half life greater than 1 year

P5 (2) - potential to occur in sediment, low aquatic toxicity, but high or increasing use

DEG (38) - degradate of Tier 1 parent compound

OF (1) - other factors

OF

P5

Predictedoccurrence

(P4 and P5 combined)42 percent

Degradates orOther Factors

(DEG and OF combined) 22 percent

Measured occurrence(P1 and P2 combined) 35 percent

Figure 8. Breakdown of Tier 1 pesticide compounds for sediment by reason for high priority.

Page 75: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 61

Tabl

e 8.

De

tect

ion-

frequ

ency

dat

a fo

r pes

ticid

e co

mpo

unds

in s

edim

ent f

rom

thre

e U.

S. G

eolo

gica

l Sur

vey

(USG

S) d

atas

ets.

—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® i

s a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Bol

d in

dica

tes

dete

ctio

n fr

eque

ncy

grea

ter t

han

10 p

erce

nt. B

old

italic

indi

cate

s det

ectio

n fr

eque

ncy

of 1

to 1

0 pe

rcen

t. Se

dim

ent o

ccur

renc

e da

ta se

ts a

re ta

bula

ted

in A

ppen

dixe

s 10–

12. A

bbre

viat

ions

: AG

, agr

icul

tura

l lan

d us

e; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; D

EG, d

egra

date

; DF,

det

ectio

n fr

eque

ncy;

MX

, mix

ed la

nd u

se; N

AV, n

ot a

vaila

ble;

NAW

QA

, Nat

iona

l Wat

er-Q

ualit

y A

sses

smen

t Pro

gram

(USG

S); O

F, o

ther

fact

ors;

P,

pat

hway

; Tox

ics,

Toxi

c Su

bsta

nces

Hyd

rolo

gy P

rogr

am (U

SGS)

; UR

, urb

an la

nd u

se; U

SGS,

U.S

. Geo

logi

cal S

urve

y; >

, gre

ater

than

; –, n

ot a

pplic

able

; <, l

ess t

han

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e

type

/use

Prim

ary

pare

nt

pest

icid

e (if

deg

rada

te)

Tier

Sedi

men

t de

tect

ion

freq

uenc

y

rang

e

(in p

erce

nt)

Det

ectio

n fr

eque

ncy,

in p

erce

nt

NAW

QA

str

eam

-bed

sed

imen

tN

AWQ

A

lake

cor

e se

dim

ent

(144

–155

sa

mpl

es)

Toxi

cs

stre

am-b

ed

and

su

spen

ded

sedi

men

t (2

1–27

4 sa

mpl

es)

AG

(2

15–2

42

sam

ples

)

UR

(71–

125

sam

ples

)

MX

(235

–361

sa

mpl

es)

3,4-

Dic

hlor

oani

line

95-7

6-1

Deg

rada

teD

iuro

n1

>10

––

––

13.6

Ala

chlo

r15

972-

60-8

Her

bici

de–

11

to 1

0–

––

–1.

3A

ldrin

309-

00-2

Inse

ctic

ide

–1

1 to

10

0.84

3.6

0.57

1.9

–A

lleth

rin58

4-79

-2In

sect

icid

e–

1<1

––

––

0al

pha-

Endo

sulfa

n (E

ndos

ulfa

n I)

959-

98-8

Inse

ctic

ide

–1

>10

1.29

2.91

2.42

–17

.9al

pha-

HC

H (a

lpha

-H

exac

hlor

ocyc

lohe

xane

)31

9-84

-6In

sect

icid

e m

ixtu

re

com

pone

nt, b

y-pr

oduc

t, de

grad

ate

gam

ma-

HC

H (a

nd

othe

r HC

H is

omer

s)1

<10

0.92

0–

Atra

zine

1912

-24-

9H

erbi

cide

–1

1 to

10

––

––

3.4

Azi

npho

s-m

ethy

l86

-50-

0In

sect

icid

e–

3<1

––

––

0be

ta-E

ndos

ulfa

n (E

ndos

ulfa

n II

)33

213-

65-9

Inse

ctic

ide

–1

1 to

10

––

––

8.3

beta

-HC

H31

9-85

-7In

sect

icid

e m

ixtu

re

com

pone

nt, b

y-pr

oduc

t, de

grad

ate

gam

ma-

HC

H (a

nd

othe

r HC

H is

omer

s)1

>10

00

0.60

–29

.2

Bife

nthr

in82

657-

04-3

Inse

ctic

ide

–1

>10

––

––

41.9

But

ylat

e20

08-4

1-5

Her

bici

de–

3<1

––

––

0C

arba

ryl

63-2

5-2

Inse

ctic

ide

–2

1 to

10

––

––

4.0

Car

bofu

ran

1563

-66-

2In

sect

icid

e–

21

to 1

0–

––

–1.

3C

hlor

dane

57-7

4-9

Inse

ctic

ide

–1

>10

7.59

68.0

26.6

967

.7–

Chl

oron

eb26

75-7

7-6

Fung

icid

e–

3<1

00

0–

–C

hlor

otha

loni

l18

97-4

5-6

Fung

icid

e–

11

to 1

0–

––

–8.

3C

hlor

pyrif

os29

21-8

8-2

Inse

ctic

ide

–1

>10

––

––

32.7

cis-

Chl

orda

ne (a

lpha

-Chl

orda

ne)

5103

-71-

9In

sect

icid

e–

1>1

02.

5660

.48

21.0

8–

37.5

cis-

Non

achl

or51

03-7

3-1

Inse

ctic

ide;

co

mpo

nent

of

tota

l chl

orda

ne,

by-p

rodu

ct

of te

chni

cal

chlo

rdan

e

–1

>10

2.11

34.4

810

.76

–12

.5

Tabl

e 8.

De

tect

ion-

frequ

ency

dat

a fo

r pes

ticid

e co

mpo

unds

in s

edim

ent f

rom

thre

e U.

S. G

eolo

gica

l Sur

vey

(USG

S) d

atas

ets.

[The

CA

S R

egis

try N

umbe

r® i

s a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Bol

d in

dica

tes

dete

ctio

n fr

eque

ncy

grea

ter t

han

10 p

erce

nt. B

old

italic

indi

cate

s det

ectio

n fr

eque

ncy

of 1

to 1

0 pe

rcen

t. Se

dim

ent o

ccur

renc

e da

ta se

ts a

re ta

bula

ted

in A

ppen

dixe

s 10–

12. A

bbre

viat

ions

: AG

, agr

icul

tura

l lan

d us

e; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; D

EG, d

egra

date

; DF,

det

ectio

n fr

eque

ncy;

MX

, mix

ed la

nd u

se; N

AV, n

ot a

vaila

ble;

NAW

QA

, Nat

iona

l Wat

er-Q

ualit

y A

sses

smen

t Pro

gram

(USG

S); O

F, o

ther

fact

ors;

P,

pat

hway

; Tox

ics,

Toxi

c Su

bsta

nces

Hyd

rolo

gy P

rogr

am (U

SGS)

; UR

, urb

an la

nd u

se; U

SGS,

U.S

. Geo

logi

cal S

urve

y; >

, gre

ater

than

; –, n

ot a

pplic

able

; <, l

ess t

han]

Page 76: Prioritizing Pesticide Compounds for Analytical Methods

62 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

8.

Dete

ctio

n-fre

quen

cy d

ata

for p

estic

ide

com

poun

ds in

sed

imen

t fro

m th

ree

U.S.

Geo

logi

cal S

urve

y (U

SGS)

dat

aset

s.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® i

s a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Bol

d in

dica

tes

dete

ctio

n fr

eque

ncy

grea

ter t

han

10 p

erce

nt. B

old

italic

indi

cate

s det

ectio

n fr

eque

ncy

of 1

to 1

0 pe

rcen

t. Se

dim

ent o

ccur

renc

e da

ta se

ts a

re ta

bula

ted

in A

ppen

dixe

s 10–

12. A

bbre

viat

ions

: AG

, agr

icul

tura

l lan

d us

e; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; D

EG, d

egra

date

; DF,

det

ectio

n fr

eque

ncy;

MX

, mix

ed la

nd u

se; N

AV, n

ot a

vaila

ble;

NAW

QA

, Nat

iona

l Wat

er-Q

ualit

y A

sses

smen

t Pro

gram

(USG

S); O

F, o

ther

fact

ors;

P,

pat

hway

; Tox

ics,

Toxi

c Su

bsta

nces

Hyd

rolo

gy P

rogr

am (U

SGS)

; UR

, urb

an la

nd u

se; U

SGS,

U.S

. Geo

logi

cal S

urve

y; >

, gre

ater

than

; –, n

ot a

pplic

able

; <, l

ess t

han

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e

type

/use

Prim

ary

pare

nt

pest

icid

e (if

deg

rada

te)

Tier

Sedi

men

t de

tect

ion

freq

uenc

y

rang

e

(in p

erce

nt)

Det

ectio

n fr

eque

ncy,

in p

erce

nt

NAW

QA

str

eam

-bed

sed

imen

tN

AWQ

A

lake

cor

e se

dim

ent

(144

–155

sa

mpl

es)

Toxi

cs

stre

am-b

ed

and

su

spen

ded

sedi

men

t (2

1–27

4 sa

mpl

es)

AG

(2

15–2

42

sam

ples

)

UR

(71–

125

sam

ples

)

MX

(235

–361

sa

mpl

es)

cis-

Perm

ethr

in61

949-

76-6

Inse

ctic

ide

–1

1 to

10

(als

o se

e pe

rmet

hrin

)

1.83

2.82

0–

36.4

Cya

nazi

ne21

725-

46-2

Her

bici

de–

3<1

––

––

0C

yclo

ate

1134

-23-

2H

erbi

cide

–3

<1–

––

–0

Cyfl

uthr

in68

359-

37-5

Inse

ctic

ide

–1

1 to

10

––

––

5.1

Cyh

alot

hrin

(lam

bda-

Cyh

alot

hrin

)91

465-

08-6

Inse

ctic

ide

–1

>10

––

––

19.6

Cyp

erm

ethr

in52

315-

07-8

Inse

ctic

ide

–1

1 to

10

––

––

3.5

Cyp

roco

nazo

le94

361-

06-5

Fung

icid

e–

11

to 1

0–

––

–4.

2D

acth

al (D

CPA

)18

61-3

2-1

Her

bici

de–

1>1

02.

120

0.29

–21

.6de

lta-H

CH

319-

86-8

Inse

ctic

ide

mix

ture

co

mpo

nent

, by-

prod

uct,

degr

adat

e

gam

ma-

HC

H (a

nd

othe

r HC

H is

omer

s)1

>10

––

––

12.5

Del

tam

ethr

in52

918-

63-5

Inse

ctic

ide

–3

<1–

––

–0

Des

ulfin

ylfip

roni

l (M

B46

513)

NAV

Deg

rada

teFi

pron

il1

<1–

––

–0

Dia

zino

n33

3-41

-5In

sect

icid

e–

11

to 1

0–

––

–8.

3D

ield

rin60

-57-

1In

sect

icid

e–

1>1

016

.95

42.0

216

.05

44.5

91.7

Die

that

yl38

727-

55-8

Her

bici

de–

3<1

––

––

0En

dosu

lfan

115-

29-7

Inse

ctic

ide

–1

>10

(see

alp

ha-

endo

sulfa

n)

––

–0

Endr

in72

-20-

8In

sect

icid

e/ a

vici

de–

21

to 1

01.

280.

910

0–

EPTC

(S-E

thyl

dip

ropy

lthio

carb

amat

e)75

9-94

-4H

erbi

cide

–1

>10

––

––

13.0

Esfe

nval

erat

e66

230-

04-4

Inse

ctic

ide

–1

>10

––

––

13.6

Etha

lflur

alin

5528

3-68

-6H

erbi

cide

–1

1 to

10

––

––

7.7

Fenp

ropa

thrin

3951

5-41

-8In

sect

icid

e–

11

to 1

0–

––

–5.

1Fi

pron

il12

0068

-37-

3In

sect

icid

e–

11

to 1

0–

––

–1.

1Fi

pron

il su

lfide

1200

67-8

3-6

Deg

rada

teFi

pron

il1

1 to

10

––

––

4.7

Fipr

onil

sulfo

ne12

0068

-36-

2D

egra

date

Fipr

onil

11

to 1

0–

––

–3.

3Fl

uval

inat

e-ta

u10

2851

-06-

9In

sect

icid

e–

21

to 1

0–

––

–3.

4Fo

nofo

s94

4-22

-9In

sect

icid

e–

2<1

––

––

0

Page 77: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 63

Tabl

e 8.

De

tect

ion-

frequ

ency

dat

a fo

r pes

ticid

e co

mpo

unds

in s

edim

ent f

rom

thre

e U.

S. G

eolo

gica

l Sur

vey

(USG

S) d

atas

ets.

—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® i

s a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Bol

d in

dica

tes

dete

ctio

n fr

eque

ncy

grea

ter t

han

10 p

erce

nt. B

old

italic

indi

cate

s det

ectio

n fr

eque

ncy

of 1

to 1

0 pe

rcen

t. Se

dim

ent o

ccur

renc

e da

ta se

ts a

re ta

bula

ted

in A

ppen

dixe

s 10–

12. A

bbre

viat

ions

: AG

, agr

icul

tura

l lan

d us

e; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; D

EG, d

egra

date

; DF,

det

ectio

n fr

eque

ncy;

MX

, mix

ed la

nd u

se; N

AV, n

ot a

vaila

ble;

NAW

QA

, Nat

iona

l Wat

er-Q

ualit

y A

sses

smen

t Pro

gram

(USG

S); O

F, o

ther

fact

ors;

P,

pat

hway

; Tox

ics,

Toxi

c Su

bsta

nces

Hyd

rolo

gy P

rogr

am (U

SGS)

; UR

, urb

an la

nd u

se; U

SGS,

U.S

. Geo

logi

cal S

urve

y; >

, gre

ater

than

; –, n

ot a

pplic

able

; <, l

ess t

han

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e

type

/use

Prim

ary

pare

nt

pest

icid

e (if

deg

rada

te)

Tier

Sedi

men

t de

tect

ion

freq

uenc

y

rang

e

(in p

erce

nt)

Det

ectio

n fr

eque

ncy,

in p

erce

nt

NAW

QA

str

eam

-bed

sed

imen

tN

AWQ

A

lake

cor

e se

dim

ent

(144

–155

sa

mpl

es)

Toxi

cs

stre

am-b

ed

and

su

spen

ded

sedi

men

t (2

1–27

4 sa

mpl

es)

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(2

15–2

42

sam

ples

)

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(71–

125

sam

ples

)

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(235

–361

sa

mpl

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gam

ma-

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sect

icid

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1>1

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epta

chlo

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icid

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to 1

00

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lor e

poxi

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Deg

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chlo

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>10

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achl

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ne11

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sect

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11

to 1

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bici

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to 1

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ide

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rin46

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00

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p,p′

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sect

icid

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11

to 1

00.

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130

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etol

achl

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218-

45-2

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bici

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icid

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11

to 1

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931.

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inat

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bici

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to 1

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ngic

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ropa

mid

e15

299-

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bici

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to 1

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0D

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>10

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ichl

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lene

)34

24-8

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rada

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DT

11

to 1

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to 1

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Deg

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te;

com

pone

nt o

f tot

al

chlo

rdan

e

Chl

orda

ne1

>10

0.43

10.0

90.

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fluor

fen

4287

4-03

-3H

erbi

cide

–1

>10

––

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p,p′

-DD

D72

-54-

8D

egra

date

DD

T1

>10

31.1

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p′-D

DE

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rada

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50-2

9-3

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ctic

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ricid

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to 1

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4

Page 78: Prioritizing Pesticide Compounds for Analytical Methods

64 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

8.

Dete

ctio

n-fre

quen

cy d

ata

for p

estic

ide

com

poun

ds in

sed

imen

t fro

m th

ree

U.S.

Geo

logi

cal S

urve

y (U

SGS)

dat

aset

s.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® i

s a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Bol

d in

dica

tes

dete

ctio

n fr

eque

ncy

grea

ter t

han

10 p

erce

nt. B

old

italic

indi

cate

s det

ectio

n fr

eque

ncy

of 1

to 1

0 pe

rcen

t. Se

dim

ent o

ccur

renc

e da

ta se

ts a

re ta

bula

ted

in A

ppen

dixe

s 10–

12. A

bbre

viat

ions

: AG

, agr

icul

tura

l lan

d us

e; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; D

EG, d

egra

date

; DF,

det

ectio

n fr

eque

ncy;

MX

, mix

ed la

nd u

se; N

AV, n

ot a

vaila

ble;

NAW

QA

, Nat

iona

l Wat

er-Q

ualit

y A

sses

smen

t Pro

gram

(USG

S); O

F, o

ther

fact

ors;

P,

pat

hway

; Tox

ics,

Toxi

c Su

bsta

nces

Hyd

rolo

gy P

rogr

am (U

SGS)

; UR

, urb

an la

nd u

se; U

SGS,

U.S

. Geo

logi

cal S

urve

y; >

, gre

ater

than

; –, n

ot a

pplic

able

; <, l

ess t

han

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e

type

/use

Prim

ary

pare

nt

pest

icid

e (if

deg

rada

te)

Tier

Sedi

men

t de

tect

ion

freq

uenc

y

rang

e

(in p

erce

nt)

Det

ectio

n fr

eque

ncy,

in p

erce

nt

NAW

QA

str

eam

-bed

sed

imen

tN

AWQ

A

lake

cor

e se

dim

ent

(144

–155

sa

mpl

es)

Toxi

cs

stre

am-b

ed

and

su

spen

ded

sedi

men

t (2

1–27

4 sa

mpl

es)

AG

(2

15–2

42

sam

ples

)

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(71–

125

sam

ples

)

MX

(235

–361

sa

mpl

es)

PCN

B (P

enta

chlo

roni

trobe

nzen

e)82

-68-

8Fu

ngic

ide

–1

<1–

––

–0

Pebu

late

1114

-71-

2H

erbi

cide

–1

1 to

10

––

––

3.8

Pend

imet

halin

4048

7-42

-1H

erbi

cide

–1

>10

––

––

40.5

Pent

achl

oroa

niso

le (P

CA

)18

25-2

1-4

Deg

rada

tePe

ntac

hlor

ophe

nol

11

to 1

00

00.

32–

1.9

Phos

met

732-

11-6

Inse

ctic

ide

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<1–

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Pipe

rony

l but

oxid

e51

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nerg

ist

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etry

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Her

bici

de–

1>1

0–

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opic

onaz

ole

6020

7-90

-1Fu

ngic

ide

–1

1 to

10

––

––

8.3

Res

met

hrin

1045

3-86

-8In

sect

icid

e–

21

to 1

0–

––

–5.

5Si

maz

ine

122-

34-9

Her

bici

de–

31

to 1

0–

––

–8.

5Su

lfote

pp36

89-2

4-5

Inse

ctic

ide

–3

<1–

––

–0

Sum

ithrin

2600

2-80

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sect

icid

e–

3<1

––

––

0Te

fluth

rin79

538-

32-2

Inse

ctic

ide

–1

<1–

––

–0

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uthy

lazi

ne59

15-4

1-3

Her

bici

de–

11

to 1

0–

––

–4.

8Te

traco

nazo

le11

2281

-77-

3Fu

ngic

ide

–1

>10

––

––

87.5

Tetra

met

hrin

7696

-12-

0In

sect

icid

e–

3<1

––

––

0Th

iobe

ncar

b28

249-

77-6

Her

bici

de–

11

to 1

0–

––

–6.

9To

xaph

ene

8001

-35-

2In

sect

icid

e/ a

caric

ide

–2

<10.

420.

910

0–

tran

s-C

hlor

dane

( gam

ma-

Chl

orda

ne)

5103

-74-

2In

sect

icid

e–

1>1

05.

9362

.422

.51

–50

.0tr

ans-

Non

achl

or39

765-

80-5

Inse

ctic

ide;

co

mpo

nent

of

tota

l chl

orda

ne,

by-p

rodu

ct o

f te

chni

cal c

hlor

dane

–1

>10

5.08

58.8

724

.0–

20.8

tran

s-Pe

rmet

hrin

6194

9-77

-7In

sect

icid

e–

11

to 1

01.

394.

230

––

Trifl

ural

in15

82-0

9-8

Her

bici

de–

1>1

0–

––

–44

.9To

tal D

DT

–In

sect

icid

e–

1 1>1

049

.17

72.0

54.0

2–

1 See

tier

s for

indi

vidu

al c

ompo

nent

s of D

DT

(p,p

- and

o,p

′-DD

D, D

DE,

and

DD

T).

Page 79: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 65

sac11-0422_fig 09

Fungicides16 percent

Insecticides30 percent

Fungicidedegradates3 percent

Herbicidedegradates11 percent

Herbicides25 percent

Insecticidedegradates15 percent

EXPLANATION

175 Tier 1 compounds

Figure 9. Distribution of Tier 1 pesticide compounds for sediment among pesticide-use groups.

Table 9. Example of modifying thresholds for three prioritization criteria for sediment.

[Abbreviations: AL, aquatic-life; Kow, octanol-water partition coefficient; >, greater than]

Parameter Current threshold Modified thresholdNumber of compounds that do not meet modified threshold

Stability Aerobic soil half-life >30 days Aerobic soil half-life >60 days 19Hydrophobicity log Kow >3 log Kow >4 27Aquatic toxicity AL Toxicty Bin = 1 or 2 (or exceeds

sediment benchmarks)AL Toxicity Bin = 1 only (or exceeds

sediment benchmarks)51

Page 80: Prioritizing Pesticide Compounds for Analytical Methods

66 Prioritizing Pesticide Compounds for Analytical Methods Development

Comparison of Tier 1 Compounds for Both Water and Sediment

A total of 65 parent pesticide compounds, as well as 4 related compounds, overlap Tier 1 for both water and sedi-ment: 26 are herbicides, 13 are fungicides, and 26 are insecti-cides. These compounds are listed in table 10 with the reasons for their Tier 1 status; the compounds can be broken down into four groups according to the basis for their Tier 1 status:

1. Twenty compounds are included on the basis of measured BQ or detection frequency in water, and measured detection frequency, as well as, for some compounds, toxicity and use, in sedi-ment. These compounds correspond to sediment pathways P1 and P2 (fig. 3 and table 2). Some of these compounds also qualify for Tier 1 for water because of predicted BQs.

2. Twelve compounds are included on the basis of measured BQ or detection frequency in water, and predicted likelihood of occurrence in sedi-ment, along with toxicity and use (sediment pathways P4 and OF1—one compound). Some of these compounds also qualify for Tier 1 for water because of predicted BQs.

3. Thirteen compounds are included on the basis of predicted BQ in water, and measured detection frequency in sediment, as well as, for some compounds, toxicity and use. These compounds correspond to sediment pathways P1 and P.

4. Twenty compounds are included on the basis of predicted BQ in water, and predicted likelihood of occurrence in sediment, along with toxicity and use (sediment pathway P4).

sac11-0422_fig 10

Azoles(22)

Anilines andanilides(17)

Acetanilides(11)

Pyridines, Pyrimidines and Pyridazinones (8)

Triazines (6)

Botanicals (5)

Carbamates (5)

Organotins and inorganics (4)

Polychlorinated aromatics (4)

Pyrethroids(16)Organophosphates

(12)

Other(23)

Organochlorines(30)

Aliphatics Amides

Benzoic acidsDiphenyl ether and bridged diphenyl

(3 in each)

EXPLANATION

175 Tier 1 compounds

The number of compounds in each class is in parentheses.

Chemical classes with 2 or fewer compounds are aggregated to “Other”.

Figure 10. Breakdown of Tier 1 pesticide compounds for sediment by chemical class.

Page 81: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 67

The two largest groups of compounds are those that were classified as Tier 1 because of measured occurrence in both water and sediment (group 1) and those classified as such because of predicted concentrations (BQs) in water and predicted likelihood of occurrence in sediment (group 4). Pesticide compounds that are moderately hydrophobic can be expected to occur in both water and sediments, to some extent. Conservative thresholds and assumptions were built into the prioritization procedures for both water and sediment, includ-ing the use of a BQ threshold of greater than 0.01 for water (fig. 2), the thresholds for persistence (soil half-life greater

than 30 days) and hydrophobicity (log Kow greater than 3 or water solubility less than 1 mg/L) for sediment, and the desig-nation of AL Toxicity Bin 2 as “high” toxicity in the screening for sediment (fig. 3). For example, of the 20 compounds in group 4 with predicted BQs greater than 0.01 in water, 3 are moderately persistent, having a soil half-life greater than 30, but less than 60 days; 4 are moderately hydrophobic, having a log Kow greater than 3, but less than 4; and 2 are in AL Toxic-ity Bin 2 (table 10). These and other factors affect the Tier 1 results and cause pesticide compounds to overlap between the matrices.

Table 10. Summary of parent pesticide compounds co-listed in Tier 1 for water and sediment.—Continued

[The CAS Registry Number® is a registered trademark of the American Chemical Society. CAS recommends the verification of the CAS Registry Numbers through CAS Client ServicesSM. Abbreviations: BQ, benchmark quotient; CAS, Chemical Abstracts Service; DF, detection frequency; HL, half-life ; >, greater than; %, percent]

Chemical name

CAS Registry Number

Primary pesticide

type

Water-reason for Tier 1

Sediment-reason for Tier 1

Combined basis for

Tier 1 status group 1

Alachlor 15972-60-8 Herbicide Measured & predicted BQ, DF >10%

Measured DF 1 to 10%; toxicity and current use, or recent use and long soil HL

1

Atrazine 1912-24-9 Herbicide Measured & predicted BQ, DF >10%

Measured DF 1 to 10%; toxicity and current use, or recent use and long soil HL

1

Benfluralin 2 1861-40-1 Herbicide Predicted BQ Predicted to occur; toxicity and current use or recent use and long soil HL

4

Benomyl 17804-35-2 Fungicide Predicted BQ, DF >10%

Predicted to occur; toxicity and current use or recent use and long soil HL

2

Bifenthrin 82657-04-3 Insecticide Predicted BQ Measured DF >10% 3Butralin 33629-47-9 Herbicide Predicted BQ Predicted to occur; toxicity and current use or

recent use and long soil HL4

Chlorothalonil 1897-45-6 Fungicide Measured & predicted BQ

Measured DF 1 to 10%; toxicity and current use, or recent use and long soil HL

1

Chlorpyrifos 2921-88-2 Insecticide Measured & predicted BQ, DF >10%

Measured DF >10% 1

cis-Permethrin 54774-45-7 Insecticide Measured BQ Measured DF >10% 1cis-Propiconazole c60207-90-1 Fungicide DF >10% Predicted to occur; toxicity and current use or

recent use and long soil HL2

Cyfluthrin 68359-37-5 Insecticide Predicted BQ Measured DF 1 to 10%; toxicity and current use, or recent use and long soil HL

3

Cyhalothrin (lambda-Cyhalothrin)

91465-08-6 Insecticide Predicted BQ Measured DF >10% 3

gamma-Cyhalothrin 76703-62-3 Insecticide Related compound

Measured DF >10% Related compound for water

Table 10. Summary of parent pesticide compounds co-listed in Tier 1 for water and sediment.

[The CAS Registry Number® is a registered trademark of the American Chemical Society. CAS recommends the verification of the CAS Registry Numbers through CAS Client ServicesSM. Abbreviations: BQ, benchmark quotient; CAS, Chemical Abstracts Service; DF, detection frequency; HL, half-life ; >, greater than; %, percent]

Page 82: Prioritizing Pesticide Compounds for Analytical Methods

68 Prioritizing Pesticide Compounds for Analytical Methods Development

Table 10. Summary of parent pesticide compounds co-listed in Tier 1 for water and sediment.—Continued

[The CAS Registry Number® is a registered trademark of the American Chemical Society. CAS recommends the verification of the CAS Registry Numbers through CAS Client ServicesSM. Abbreviations: BQ, benchmark quotient; CAS, Chemical Abstracts Service; DF, detection frequency; HL, half-life ; >, greater than; %, percent]

Chemical name

CAS Registry Number

Primary pesticide

type

Water-reason for Tier 1

Sediment-reason for Tier 1

Combined basis for

Tier 1 status group 1

Cypermethrin 52315-07-8 Insecticide Predicted BQ Measured DF 1 to 10%; toxicity and current use, or recent use and long soil HL

3

zeta-Cypermethrin 69865-47-0 Insecticide Related compound

Predicted to occur; toxicity and current use or recent use and long soil HL

Related compound for water

Dacthal 1861-32-1 Herbicide Measured BQ, DF >10%

Measured DF >10% 1

Diazinon 333-41-5 Insecticide Measured & predicted BQ, DF >10%

Measured DF 1 to 10%; toxicity and current use, or recent use and long soil HL

1

Dicofol 115-32-2 Insecticide Predicted BQ Predicted to occur; toxicity and current use or recent use and long soil HL

4

Dieldrin 60-57-1 Insecticide Measured BQ Measured DF >10% 1Diquat 85-00-7 Herbicide Predicted BQ Predicted to occur; toxicity and current use or

recent use and long soil HL4

Disulfoton 298-04-4 Insecticide Measured & predicted BQ

Predicted to occur; toxicity and current use or recent use and long soil HL

2

Diuron 330-54-1 Herbicide Measured & predicted BQ, DF >10%

Persistent & marginally hydrophobic; toxicity; high use, agency priority

2

Endosulfan 115-29-7 Insecticide Predicted BQ Measured DF >10% 3alpha-Endosulfan 959-98-8 Insecticide Related

compoundMeasured DF >10% Related

compound for water

beta-Endosulfan 33213-65-9 Insecticide Related compound

Measured DF 1 to 10%; toxicity and current use, or recent use and long soil HL

Related compound for water

EPTC (S-Ethyl dipropylthiocarbamate)

759-94-4 Herbicide DF >10% Measured DF >10% 1

Esfenvalerate 66230-04-4 Insecticide Predicted BQ Measured DF >10% 3Ethalfluralin 55283-68-6 Herbicide Measured &

predicted BQMeasured DF 1 to 10%; toxicity and current

use, or recent use and long soil HL1

Fenbutatin oxide 13356-08-6 Insecticide Predicted BQ Predicted to occur; toxicity and current use or recent use and long soil HL

4

Fenpropathrin 39515-41-8 Insecticide Predicted BQ Measured DF 1 to 10%; toxicity and current use, or recent use and long soil HL

3

Fentin hydroxide (TPTH, Triphenyltin hydroxide)

76-87-9 Fungicide/ molluscicide/ herbicide

Predicted BQ Predicted to occur; toxicity and current use or recent use and long soil HL

4

Fipronil 120068-37-3 Insecticide Predicted BQ, DF >10%

Measured DF 1 to 10%; toxicity and current use, or recent use and long soil HL

1

gamma-HCH (gamma-Hexachlorocyclohexane)

58-89-9 Insecticide Measured & predicted BQ

Measured DF >10% 1

Glyphosate 1071-83-6 Herbicide DF >10% Predicted to occur; toxicity and current use or recent use and long soil HL

2

Imazamox 114311-32-9 Herbicide Predicted BQ Predicted to occur; toxicity and current use or recent use and long soil HL

4

Iprodione 36734-19-7 Fungicide Predicted BQ Measured DF >10% 3

Page 83: Prioritizing Pesticide Compounds for Analytical Methods

Results and Discussion 69

Table 10. Summary of parent pesticide compounds co-listed in Tier 1 for water and sediment.—Continued

[The CAS Registry Number® is a registered trademark of the American Chemical Society. CAS recommends the verification of the CAS Registry Numbers through CAS Client ServicesSM. Abbreviations: BQ, benchmark quotient; CAS, Chemical Abstracts Service; DF, detection frequency; HL, half-life ; >, greater than; %, percent]

Chemical name

CAS Registry Number

Primary pesticide

type

Water-reason for Tier 1

Sediment-reason for Tier 1

Combined basis for

Tier 1 status group 1

Kresoxim-methyl 3 143390-89-0 Fungicide Predicted BQ Predicted to occur; toxicity and current use or recent use and long soil HL

4

Metconazole 4 125116-23-6 Fungicide Predicted BQ Predicted to occur; toxicity and current use or recent use and long soil HL

4

Methoxychlor 72-43-5 Insecticide Predicted BQ Measured DF 1 to 10%; toxicity and current use, or recent use and long soil HL

3

Methoxy- fenozide 3

161050-58-4 Insecticide Predicted BQ Predicted to occur; toxicity and current use or recent use and long soil HL

4

Metolachlor 51218-45-2 Herbicide Measured & predicted BQ, DF >10%

Measured DF >10% 1

Myclobutanil 88671-89-0 Fungicide DF >10% Measured DF >10% 1Novaluron 116714-46-6 Herbicide Predicted BQ Predicted to occur; toxicity and current use or

recent use and long soil HL4

Oryzalin 19044-88-3 Herbicide Measured & predicted BQ

Predicted to occur; toxicity and current use or recent use and long soil HL

2

Oxyfluorfen 42874-03-3 Herbicide Predicted BQ Measured DF >10% 3Paraquat 4685-14-7 Herbicide Predicted BQ Predicted to occur; toxicity and current use or

recent use and long soil HL4

Parathion-methyl 298-00-0 Insecticide Measured & predicted BQ

Measured DF 1 to 10%; toxicity and current use, or recent use and long soil HL

1

Pendimethalin 40487-42-1 Herbicide Measured & predicted BQ, DF >10%

Measured DF >10% 1

Permethrin 52645-53-1 Insecticide Predicted BQ Measured DF >10% 3Phorate 3 298-02-2 Insecticide Predicted BQ Predicted to occur; toxicity and current use or

recent use and long soil HL4

Prometryn 7287-19-6 Herbicide Predicted BQ, DF >10%

Measured DF >10% 1

Pronamide 23950-58-5 Herbicide Measured & predicted BQ

Predicted to occur; toxicity and current use or recent use and long soil HL

2

Propargite 2312-35-8 Insecticide Measured & predicted BQ

Predicted to occur; toxicity and current use or recent use and long soil HL

2

Propiconazole 3,4 60207-90-1 Fungicide Predicted BQ Predicted to occur; toxicity and current use or recent use and long soil HL

4

Pymetrozine 2 123312-89-0 Insecticide Predicted BQ Predicted to occur; toxicity and current use or recent use and long soil HL

4

Pyraclostrobin 175013-18-0 Fungicide Predicted BQ Predicted to occur; toxicity and current use or recent use and long soil HL

4

Pyridaben 96489-71-3 Insecticide Predicted BQ Predicted to occur; toxicity and current use or recent use and long soil HL

4

S-Metolachlor 87392-12-9 Herbicide Predicted BQ Measured DF >10% 3Tebuconazole 107534-96-3 Fungicide DF >10% Predicted to occur; toxicity and current use or

recent use and long soil HL2

Tebupirimfos 96182-53-5 Insecticide Predicted BQ Predicted to occur; toxicity and current use or recent use and long soil HL

4

Tefluthrin 2 79538-32-2 Insecticide Predicted BQ Predicted to occur; toxicity and current use or recent use and long soil HL

4

Terbuthylazine 5915-41-3 Herbicide DF >10% Measured DF 1 to 10%; toxicity and current use, or recent use and long soil HL

1

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70 Prioritizing Pesticide Compounds for Analytical Methods Development

1 The numbers (1–4) correspond to the groups describing the combined basis for water and sediment Tier 1 status, as further explained in the subsection “Comparison of Tier 1 Compounds for Both Water and Sediment” of the “Results and Discussion” section.

2 Moderately persistent–aerobic soil half-life greater than 30, but less than 60 days.3 Moderately hydrophobic–log Kow greater than 3, but less than 4.4 Aquatic-Life Toxicity Bin 2.

Summary and ConclusionsTo meet the U.S. Geological Survey's (USGS) periodic

need to prioritize contaminants for analytical methods devel-opment for future monitoring and studies, a defined universe of pesticides and degradates were screened for their relative importance. The prioritization strategy described in this report identified high priority pesticides and degradates, both legacy compounds and current-use pesticides. Pesticide compounds with current agricultural-use data were evaluated to determine if they are anticipated to occur in the environment at concen-trations of potential concern to aquatic organisms or humans, and if they should be considered for inclusion in analytical methods. In addition, pesticide compounds previously moni-tored in USGS studies, either routinely or infrequently, were evaluated to determine if continued inclusion in analytical methods and monitoring are warranted on the basis of detec-tion frequency or occurrence at concentrations of potential concern for aquatic life or human health.

Depending on their chemical structure and physical-chemical properties, different pesticide compounds behave differently in the environment. To accommodate a broad range of pesticides, from water-soluble to hydrophobic, it was necessary to prioritize pesticide compounds for both water and

Table 10. Summary of parent pesticide compounds co-listed in Tier 1 for water and sediment.—Continued

[The CAS Registry Number® is a registered trademark of the American Chemical Society. CAS recommends the verification of the CAS Registry Numbers through CAS Client ServicesSM. Abbreviations: BQ, benchmark quotient; CAS, Chemical Abstracts Service; DF, detection frequency; HL, half-life ; >, greater than; %, percent]

Chemical name

CAS Registry Number

Primary pesticide

type

Water-reason for Tier 1

Sediment-reason for Tier 1

Combined basis for

Tier 1 status group 1

Tetraconazole 112281-77-3 Fungicide Predicted BQ Measured DF >10% 3Thiobencarb 28249-77-6 Herbicide Measured &

predicted BQ

Measured DF 1 to 10%; toxicity and current use, or recent use and long soil HL

1

trans-Propiconazole t60207-90-1 Fungicide DF >10% Predicted to occur; toxicity and current use or recent use and long soil HL

2

Triallate 2303-17-5 Herbicide Measured BQ Predicted to occur; toxicity and current use or recent use and long soil HL

2

Tribuphos 78-48-8 Defoliant Predicted BQ Predicted to occur; toxicity and current use or recent use and long soil HL

4

Triclopyr 55335-06-3 Herbicide Measured & predicted BQ

Predicted to occur; toxicity and current use or recent use and long soil HL

2

Trifluralin 1582-09-8 Herbicide Measured & predicted BQ, DF >10%

Measured DF >10% 1

sediment. Separate screening procedures were used for water and sediment because more data on occurrence and toxicity are available for pesticides in water than sediment; prediction tools were available to predict pesticide concentrations in streams and groundwater; and analytical methods are medium-specific. The approaches considered measured occur-rence through detection frequency and concentrations in water and sediment; predicted concentrations in water and predicted likelihood of occurrence in sediment; potential toxicity to aquatic life and humans; and priorities of other agencies or organizations, regulatory or otherwise.

The screening procedures used here are systematic, objective, and semi-quantitative; they rely on concepts com-mon to many previously established approaches for prioritiz-ing chemicals for various purposes, including identifying persistent, bioaccumulative, and toxic (PBT) compounds and determining candidates for future regulation of drinking water contaminants. The evaluation of pesticide compounds for analytical methods development priority resulted in classifica-tion of compounds, separately for water and sediment, into three priority tiers: Tier 1 for high priority compounds, Tier 2 for moderate priority compounds, and Tier 3 for low priority compounds.

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Summary and Conclusions 71

For water, a total of 247 pesticide compounds were clas-sified as Tier 1 and are high priority for inclusion in analytical methods available for monitoring and studies. About half of the Tier 1 compounds are high priority because they can reach concentrations approaching those that may be of potential con-cern to human health, aquatic life, or both; 17 percent because they were frequently detected in past water-quality monitor-ing studies; and 11 percent because they met both criteria. The remaining 21 percent were degradates that were included because their parent pesticides were in Tier 1.

Tier 1 pesticide compounds for water span the major pesticide-use groups, with herbicides and their degradates composing half of all Tier 1 compounds, and insecticides and their degradates making up an additional 38 percent. Overall, degradates from all use groups combined composed 40 percent of Tier 1 compounds. In terms of chemical class, organophosphates are most commonly represented, followed by acetanilides, triazines, and carbamates.

Many of the highest priority pesticide compounds are included in several national regulatory programs for water quality, including those that are regulated in drinking water by the Safe Drinking Water Act, and those that are on the third Contaminant Candidate List. Two compounds, dieldrin and p,pʹ-DDE, that have U.S. Environmental Protection Agency (USEPA) National Recommended Water Quality Criteria for aquatic life, are high priority for both aquatic-life and human-health reasons. Although USEPA Office of Pesticide Programs (OPP) aquatic-life benchmarks are not regulatory standards at the federal level, more than 30 percent of the Tier 1 com-pounds were classified as such on the basis of aquatic-life benchmark quotients calculated from these OPP benchmarks; some of these compounds also can be high priority for human-health reasons.

For sediment, 175 pesticides and degradates are in Tier 1 and are high priority for inclusion in analytical methods available for monitoring and studies. About 36 percent of the Tier 1 pesticide compounds are high priority on the basis of measured occurrence. This includes 36 compounds that were frequently detected in USGS monitoring studies, having a detection frequency greater than 10 percent, and 26 com-pounds that had a combination of moderate occurrence, that is a detection frequency from 1 to 10 percent, and either high potential toxicity to aquatic life or high pesticide use, or both. Another 42 percent, or 74 compounds, are high priority on the basis of predicted likelihood of occurrence and either high potential toxicity to aquatic life or high pesticide use, or both. The remaining 22 percent, or 39 compounds, are in Tier 1 because they are degradates of Tier 1 parent compounds or because of other factors.

The Tier 1 pesticide compounds for sediment are dis-tributed among pesticide use-groups, with the largest group

composed of insecticides and their degradates at 45 percent. An additional 36 percent of Tier 1 is represented by herbicides and their degradates, with fungicides and their degradates rounding out the remaining 19 percent. Collectively, about 30 percent of Tier 1 compounds for sediment are pesticide degradates. The chemical class composing the largest percent-age of Tier 1 compounds in sediment are organochlorines at 17 percent, which is expected because persistent organochlorine pesticides and their degradates continue to be detected widely in sediments, and many are potentially toxic to aquatic life.

Some of the Tier 1 pesticide compounds for sediment are included in national regulatory or other programs, not neces-sarily sediment-specific, including PBT chemicals that are on USEPA’s Toxics Release Inventory or are of concern in the Great Lakes. A total of 19 Tier 1 compounds have at least one sediment benchmark or screening value for aquatic organisms. Of the 175 compounds in Tier 1, 78, or 45 percent, have high aquatic-life toxicity, as defined for this evaluation.

The prioritization of pesticides and degradates resulted in two lists of high-priority compounds for water and sedi-ment. These lists will be used as the basis for redesigning and enhancing USGS analytical capabilities for pesticides in order to capture as many high-priority pesticide compounds as pos-sible using an economically feasible approach. These com-pounds either have been measured or are predicted to occur in water or sediment at defined thresholds. Detection-frequency thresholds were applied to capture compounds that frequently occur and persist in the environment because tracking trends in contaminant occurrence over time has been an important objective of the National Water-Quality Assessment Program. For both water and sediment, indicators of likely occurrence, toxicity, and high use were combined to capture those com-pounds most likely to be present at potentially toxic concentra-tions. For water, where availability of models made it possible to estimate predicted concentrations, concentration thresholds relative to individual benchmark values for aquatic life and human health were used in a conservative manner to give high priority to pesticide compounds that have occurred, or have the potential to occur, in water at concentrations approach-ing those of concern to aquatic organisms or humans. For sediment, where predicted concentrations were not available, Tier 1 compounds met thresholds for stability, hydrophobic-ity (or sorption), and either aquatic toxicity or use rates, or both. The Tier 1 pesticide compounds for water and sediment represent pesticides and their degradates that are likely to be high priority for future monitoring programs and studies, and which will need to be supported by the availability of analyti-cal methods capable of detecting these compounds at environ-mentally-relevant concentrations in matrices of interest.

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72 Prioritizing Pesticide Compounds for Analytical Methods Development

Acknowledgments The authors thank the many individuals from the U.S.

Geological Survey (USGS) for their contributions. Mark Sand-strom, Michelle Hladik, and Robert Gilliom provided valuable advice. Wes Stone and Paul Stackelberg provided model esti-mates of pesticide concentrations in streams and groundwater and details of the models described in appendixes 6 and 9. Jeff Martin assembled the stream and groundwater occurrence datasets. Pete Van Metre provided the lake core sediment data-set. Jack Barbash provided compilations of physical-chemical property data from literature sources. Gail Thelin and Naomi Nakagaki provided national estimates of agricultural pesti-cide use and use intensity data sets to support the stream and groundwater modeling efforts. Jim Orlando provided esti-mates of pesticide use in California. Patty Toccalino provided human-health data and advice on Health-Based Screening Levels. Other members of the NAWQA National Target Analyte Strategy workgroup, including John Zogorski, Joshua Valder, Lisa Olsen, Mike Focazio, Duane Wydoski, and Jim Pankow provided ideas and feedback in developing the pro-cess to prioritize pesticide compounds.

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Appendix 1. 75

Appendix 1.

Physical-Chemical Properties Used in the Evaluation of Pesticide Compounds for Analytical Methods Development for Water and Sediment

Table 1–1. Physical-chemical property values and sources used for prioritization of pesticide compounds in water and sediment. (This table is available in a Microsoft Excel workbook, which can be dowloaded from http://pubs.usgs.gov/sir/2012/5045/).

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Shiu, W.Y., Ma, K.C., Mackay, D., Seiber, J.N., and Wauchope, R.D., 1990, Solubilities of pesticide chemicals in water Part II: Data compilation: Reviews of Environmental Contamination and Toxicology, v. 116, p. 15–187.

Tomlin, C.D.S., ed., 1994, The Pesticide Manual: A World Com-pendium, 10th Edition: London, British Crop Protection Council, 1200 p.

Tomlin, C.D.S., ed., 1997, The Pesticide Manual: A World Com-pendium, 11th Edition: Farnham, Surrey, British Crop Protection Council, 1450 p.

U.S. Department of Agriculture, 1992, Root Zone Water Quality Model (RZWQM): U.S. Department of Agriculture–Agriculture Research Service, Great Plains Systems Research Unit. Available at http://www.ars.usda.gov/Main/docs.htm?docid=17740

U.S. Department of Agriculture, 2005, Pesticide Properties Database: U.S. Department of Agriculture–Agricultural Research Service, updated Oct. 1, 2001. Available at http://www.ars.usda.gov/Services/docs.htm?docid=14199

U.S. Environmental Protection Agency, 1994, Pesticide Environmen-tal Fate Database One-Line Summary-Acetochlor: U.S. Environ-mental Protection Agency, Office of Pesticide Programs, Environ-mental Fate and Effects Division, Last updated 9/9/94.

U.S. Environmental Protection Agency, 2009, EPI Suite™ Version 4.0, USEPA Office of Pollution Prevention and Toxics and Syracuse Research Corporation (SRC). Available at http://www.epa.gov/oppt/exposure/pubs/episuite.htm

Winkelmann, D.A., and Klaine, S.J., 1991, Degradation and bound residue formation of four atrazine metabolites, deethylatrazine, deisopropylatrazine, dealkylatrazine and hydroxyatrazine, in a western Tennessee soil: Environmental Toxicology and Chemistry,

v. 10, p. 347–354.

Page 91: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 2. 77

Appendix 2.

Persistence Score Methodology

Page 92: Prioritizing Pesticide Compounds for Analytical Methods

78 Prioritizing Pesticide Compounds for Analytical Methods Development

The Persistence Score is based on the following two data elements: (1) estimated biodegradation time as predicted by the Ultimate Survey Model (USM) of Biodegradation and (2) estimated probability of rapid biodegradation as predicted by the Nonlinear Model of Probability of Rapid Biodegrada-tion. Output for both models is provided simultaneously using the BIOWIN biodegradation probability model, which is an estimation software program created by Syracuse Research Corporation (SRC) that is part of the U.S. Enviromental Pro-tection Agency’s (USEPA) EPI Suite™ program, that calcu-lates the probability that an organic chemical will biodegrade rapidly under aerobic conditions (U.S. Environmental Protec-tion Agency, 2009). A free Windows version of EPI Suite is available from USEPA at http://www.epa.gov/oppt/exposure/pubs/episuite.htm.

The Persistence Score (1 = low, 2 = medium, 3 = high) was determined using the threshold (binning) approach adapted from USEPA’s Waste Minimization Prioritization Tool document (U.S. Environmental Protection Agency, 1997), provided in table 2–1.

Table 2–1. Thresholds for determining the persistence score (U.S. Environmental Protection Agency, 1997).

Ultimate survey model of

biodegradation

Nonlinear model probability of rapid

biodegradation

Persistence Score

≤ 2 – High (3)> 2 to ≤ 3 – Medium (2)> 3 to ≤ 4 < 0.5 Medium (2)

≥ 0.5 Low (1)> 4 – Low (1)

USM estimates the approximate amount of time needed for complete biodegradation of a chemical in typical water and soil environments. USM was created using the survey results from 17 experts who ranked 200 organic chemicals on their estimated rates of primary degradation (loss of parent chemi-cal identity) and ultimate degradation (conversion to CO2 and H2O). The experts assigned an estimated ultimate biodegrada-tion time (order of magnitude approximation) for each chemi-cal as follows:

• “1” longer than several months

• “2” months

• “3” weeks

• “4” days

• “5” hoursCounts of the frequency of occurrence of 36 structural

fragments also were completed as part of the USM. Multiple

linear regressions were performed with the mean scores (1 to 5, as designated previously) as dependent variables and the structural fragment counts and molecular weights as inde-pendent variables. The USM model calculates the numerical biodegradability “score” for a contaminant, and this number is then related into hours, days, weeks, etc. for interpretation. The persistence score approach designates chemicals with USM scores greater than 2 but less than or equal to 3, cor-responding to weeks to months, as medium for persistence, but uses a second model, the Nonlinear Probability Model, to choose between low and medium persistence scores when the USM prediction is in the range greater than 3 but less than or equal to 4, corresponding to days to weeks. If the Nonlinear Probability Model estimates that the probability of rapid biodegradation is low (for example, less than 0.5), then the approach scores persistence as medium rather than low (table 2–1). The Nonlinear Probability Model of Biodegrada-tion generates an estimate of the probability of rapid biodeg-radation using a file of evaluated biodegradation data for more than 800 organic contaminants.

References Cited, Appendix 2

U.S. Environmental Protection Agency, 1997, Waste minimi-zation prioritization tool; beta test version 1.0; user’s guide and system documentation draft: Washington, DC, U.S. Environmental Protection Agency, Office of Solid Waste and Office of Pollution Prevention and Toxics EPA 530-R-97-019, June 1997, 236 p. Available at http://nepis.epa.gov/Exe/ZyPURL.cgi?Dockey=100011NN.txt

U.S. Environmental Protection Agency, 2009, EPI Suite™ Ver-sion 4.0, USEPA Office of Pollution Prevention and Toxics and Syracuse Research Corporation (SRC). Available at http://www.epa.gov/oppt/exposure/pubs/episuite.htm

Page 93: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 3. 79

Appendix 3.

Aquatic-Life and Human-Health Benchmarks Used in the Evaluation of Pesticides for Water

Page 94: Prioritizing Pesticide Compounds for Analytical Methods

80 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

1,3-

Dic

arba

moy

l-2,4

,5,6

-tetra

chlo

-ro

benz

ene

NAV

Deg

rada

te1

NAV

NAV

NAV

NAV

1,3-

Dic

hlor

opro

pene

542-

75-6

Fum

igan

t1

45A

I OPP

0.3

HB

SLH

PV1-

Car

bam

oyl-3

-cya

no-4

-hyd

roxy

-2,

5,6-

trich

loro

benz

ene

NAV

Deg

rada

te1

NAV

NAV

NAV

NAV

1-N

apht

hol

90-1

5-3

Deg

rada

te1

100

CF

USG

SN

AVN

AVH

PV2-

(4-te

rt-b

utyl

phen

oxy)

- C

yclo

hexa

nol

1942

-71-

8D

egra

date

198

CF

ECO

SAR

NAV

NAV

2,4-

D

(2,4

-Dic

hlor

ophe

noxy

ace

tic a

cid)

94-7

5-7

Her

bici

de1

299.

2AV

P U

SGS

70M

CL

MC

L, S

FIR

EG,

CA

NA

LWQ

G,

HPV

2,4-

D m

ethy

l est

er19

28-3

8-7

Her

bici

de1

NAV

NAV

NAV

NAV

SFIR

EG,

CA

NA

LWQ

G2,

6-D

ieth

ylan

iline

579-

66-8

Deg

rada

te1

7,81

2A

I EC

OTO

XN

AVN

AVH

PV2-

([2-

Ethy

l-6-m

ethy

lphe

nyl]a

min

o)-

1-pr

opan

ol61

520-

53-4

Deg

rada

te1

NAV

NAV

NAV

NAV

2-A

min

o-N

-isop

ropy

lben

zam

ide

3039

1-89

-0D

egra

date

130

CI E

CO

SAR

NAV

NAV

–2-

Chl

oro-

2,6-

diet

hyla

ceta

nilid

e69

67-2

9-9

Deg

rada

te1

NAV

NAV

NAV

NAV

–2-

chlo

ro-N

-(2-

ethy

l-6-

met

hylp

heny

l)ace

tam

ide

(A

ceto

chlo

r/Met

olac

hlor

, se

cond

ary

amid

e)

3242

8-71

-0D

egra

date

1N

AVN

AVN

AVN

AV–

2-Et

hyl-6

-met

hyla

nilin

e24

549-

06-2

Deg

rada

te1

12C

I EC

OSA

RN

AVN

AVH

PV2-

Hyd

roxy

atra

zine

2163

-68-

0D

egra

date

11,

500

AF

OPP

70H

BSL

SFIR

EG3-

(Trifl

uoro

met

hyl)a

nilin

e98

-16-

8D

egra

date

11,

350

AI E

CO

TOX

NAV

NAV

HPV

3-(T

rifluo

rom

ethy

l)phe

nylu

rea

1311

4-87

-9D

egra

date

128

4C

F EC

OSA

RN

AVN

AV–

3,4-

Dic

hlor

oani

line

95-7

6-1

Deg

rada

te1

1.7

AI E

CO

TOX

NAV

NAV

HPV

Tabl

e 3–

1.

Aqua

tic-li

fe a

nd h

uman

-hea

lth b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for w

ater

.

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic L

ife

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

once

ntra

-tio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

ta-

base

(USE

PA, 2

010a

); G

LWQ

A, G

reat

Lak

es W

ater

Qua

lity

Agr

eem

ent a

quat

ic-li

fe w

ater

-qua

lity

obje

ctiv

e (U

SEPA

, 197

8); H

BSL

, Hea

lth-B

ased

Scr

eeni

ng L

evel

(Toc

calin

o an

d ot

hers

, 200

8); H

PV, h

igh

prod

uctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP

Ecot

ox, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

tion

deci

-si

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Scr

eeni

ng

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed C

onta

min

ant

Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA,

2010

b); µ

g/L,

mic

rogr

ams p

er li

ter;

–, n

one]

Page 95: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 3. 81Ta

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

3,4-

Dic

hlor

omet

hyph

enyl

urea

3567

-62-

2D

egra

date

172

CF

ECO

SAR

NAV

NAV

–3,

4-D

ichl

orop

heny

lure

a23

27-0

2-8

Deg

rada

te1

129

AN

VP

ECO

SAR

NAV

NAV

–3,

5-D

ichl

oroa

nilin

e62

6-43

-7D

egra

date

118

CI E

CO

SAR

NAV

NAV

–3-

Hyd

roxy

carb

ofur

an16

655-

82-6

Deg

rada

te1

2,25

4C

F EC

OSA

RN

AVN

AVC

CL3

3-K

etoc

arbo

fura

n16

709-

30-1

Deg

rada

te1

1,27

2C

F EC

OSA

RN

AVN

AV–

3-Ph

enox

yben

zoic

aci

d37

39-3

8-6

Deg

rada

te1

6,65

0A

F O

PP to

xN

AVN

AV–

4-(H

ydro

xym

ethy

l)pen

dim

etha

lin56

750-

76-6

Deg

rada

te1

NAV

NAV

NAV

NAV

–4,

4’-D

ichl

orob

enzo

phen

one

90-9

8-2

Deg

rada

te1

171

CF

ECO

SAR

NAV

NAV

–4-

Chl

oro-

2-m

ethy

lphe

nol

1570

-64-

5D

egra

date

11,

150

AF

ECO

TOX

NAV

NAV

–4-

Chl

orob

enzy

lmet

hyl s

ulfo

ne98

-57-

7D

egra

date

137

,549

CI E

CO

SAR

NAV

NAV

–4-

hydr

oxy-

2,5,

6-

trich

loro

isop

htha

loni

trile

NAV

Deg

rada

te1

NAV

NAV

NAV

NAV

Ace

phat

e30

560-

19-1

Inse

ctic

ide

115

0C

I OPP

NAV

NAV

CC

L3A

ceto

chlo

r34

256-

82-1

Her

bici

de1

1.43

AN

VP

OPP

1H

BSL

CC

L3, U

CM

R,

SFIR

EGA

ceto

chlo

r eth

ane

sulfo

nic

acid

(E

SA)

1870

22-1

1-3

Deg

rada

te1

9,90

0A

NV

P O

PPN

AVN

AVC

CL3

, UC

MR

, SF

IREG

Ace

toch

lor o

xani

lic a

cid

(OA

)18

4992

-44-

4D

egra

date

1N

AVN

AVN

AVN

AVC

CL3

, UC

MR

, SF

IREG

Ace

toch

lor s

ulfy

nila

cetic

aci

d (S

AA

)N

AVD

egra

date

1N

AVN

AVN

AVN

AV–

Ace

toch

lor/M

etol

achl

or E

SA,

seco

ndar

y am

ide

NAV

Deg

rada

te1

NAV

NAV

NAV

NAV

Ala

chlo

r15

972-

60-8

Her

bici

de1

1.64

AN

VP

OPP

2M

CL

MC

L, U

CM

R,

SFIR

EG

Page 96: Prioritizing Pesticide Compounds for Analytical Methods

82 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Ala

chlo

r ESA

, sec

onda

ry a

mid

eN

AVD

egra

date

1N

AVN

AVN

AVN

AV–

Ala

chlo

r ESA

1423

63-5

3-9

Deg

rada

te1

52,0

00A

F O

PPN

AVN

AVC

CL3

, UC

MR

, SF

IREG

Ala

chlo

r OA

1712

62-1

7-2

Deg

rada

te1

47,5

00A

F O

PPN

AVN

AVC

CL3

, UC

MR

Ala

chlo

r SA

A14

0939

-16-

8D

egra

date

1N

AVN

AVN

AVN

AV–

Ald

icar

b11

6-06

-3In

sect

icid

e1

0.46

CF

OPP

9H

BSL

SFIR

EG,

CA

NA

LWQ

GA

ldic

arb

sulfo

ne16

46-8

8-4

Deg

rada

te1

140

AI O

PP7

HB

SLSF

IREG

Ald

icar

b su

lfoxi

de16

46-8

7-3

Deg

rada

te1

21.5

AI O

PP7

HB

SLSF

IREG

alph

a-H

CH

(a

lpha

-Hex

achl

oroc

yclo

hexa

ne)

319-

84-6

Inse

ctic

ide

mix

ture

co

mpo

nent

, by-

prod

uct,

degr

adat

e

140

0A

I EC

OTO

X0.

006

HB

SLC

CL3

Am

etry

n83

4-12

-8H

erbi

cide

13.

67A

NV

P O

PP50

0H

BSL

–A

min

omet

hylp

hosp

honi

c ac

id10

66-5

1-9

Deg

rada

te1

249,

500

AF

OPP

NAV

NAV

–A

sula

m33

37-7

1-1

Her

bici

de1

140

AVP

OPP

tox

NAV

NAV

–A

trazi

ne19

12-2

4-9

Her

bici

de1

1A

NV

P O

PP3

MC

LM

CL,

SFI

REG

, C

AN

ALW

QG

, H

PVA

zinp

hos-

met

hyl

86-5

0-0

Inse

ctic

ide

10.

036

CI O

PP10

HB

SLSF

IREG

, GL-

WQ

A,

OW

NRW

QC

Azi

npho

s-m

ethy

l-oxo

n96

1-22

-8D

egra

date

11,

461

AN

VP

ECO

SAR

NAV

NAV

–A

zoxy

stro

bin

1318

60-3

3-8

Fung

icid

e1

44C

I OPP

NAV

NAV

OPP

Reg

Ben

flura

lin18

61-4

0-1

Her

bici

de1

1.9

CF

OPP

4H

BSL

–B

enom

yl17

804-

35-2

Fung

icid

e1

2.8

AF

ECO

TOX

40H

BSL

Page 97: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 3. 83Ta

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Ben

tazo

n25

057-

89-0

Her

bici

de1

4,50

0A

NV

P O

PP20

0H

BSL

SFIR

EGbe

ta-H

CH

319-

85-7

Inse

ctic

ide

mix

ture

co

mpo

nent

, by-

prod

uct,

degr

adat

e

155

0A

F EC

OTO

X0.

04H

BSL

Bife

naza

te14

9877

-41-

8In

sect

icid

e1

0.05

6A

NV

P EC

OSA

RN

AVN

AVO

PP R

eg

Bife

nthr

in82

657-

04-3

Inse

ctic

ide

10.

075

AF

ECO

TOX

10H

BSL

–B

rom

acil

314-

40-9

Her

bici

de1

6.8

AN

VP

OPP

70H

BSL

SFIR

EG,

CA

NA

LWQ

GB

rom

omet

hane

74-8

3-9

Fum

igan

t/adj

uvan

t1

100

CF

OPP

100

HB

SLC

CL3

, HPV

Bro

mox

ynil

1689

-84-

5H

erbi

cide

12.

5C

I USG

S10

HB

SLC

AN

ALW

QG

But

ralin

3362

9-47

-9H

erbi

cide

13

CF

ECO

SAR

NAV

NAV

–C

arba

ryl

63-2

5-2

Inse

ctic

ide

10.

5C

I OPP

40H

BSL

SFIR

EG,

CA

NA

LWQ

GC

arbo

fura

n15

63-6

6-2

Inse

ctic

ide

10.

75C

I OPP

40M

CL

MC

L, S

FIR

EG,

CA

NA

LWQ

G,

HPV

Chl

orim

uron

-eth

yl90

982-

32-4

Her

bici

de1

4,20

0A

F EC

OTO

X60

0H

BSL

–C

hlor

opic

rin76

-06-

2Fu

mig

ant/n

emat

ocid

e1

8.49

AF

OPP

NAV

NAV

–C

hlor

otha

loni

l18

97-4

5-6

Fung

icid

e1

0.6

CI O

PP5

HB

SLSF

IREG

, C

AN

ALW

QG

Chl

orpy

rifos

2921

-88-

2In

sect

icid

e1

0.04

CI O

PP2

HB

SLSF

IREG

, C

AN

ALW

QG

, O

W N

RWQ

CC

hlor

pyrif

os o

xyge

n an

alog

5598

-15-

2D

egra

date

127

3C

F EC

OSA

RN

AVN

AV–

Chl

orsu

lfuro

n64

902-

72-3

Her

bici

de1

0.35

AVP

OPP

tox

100

HB

SL–

Page 98: Prioritizing Pesticide Compounds for Analytical Methods

84 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

cis-

Met

hyl-3

-(2,

2-di

chlo

rovi

nyl)-

2,2-

dim

ethy

l- (1

-cyc

lopr

opan

e)-c

arbo

xyla

te

c618

98-9

5-1

Deg

rada

te1

NAV

NAV

NAV

NAV

cis-

Perm

ethr

in61

949-

76-6

Inse

ctic

ide

10.

0014

CI O

PP4

HB

SL–

cis-

Prop

icon

azol

ec6

0207

-90-

1Fu

ngic

ide

193

AN

VP

OPP

70H

BSL

–C

oppe

r74

40-5

0-8

Fung

icid

e1

9C

OW

1,30

0M

CL

MC

L, G

LWQ

A,

OW

NRW

QC

Cya

nazi

ne21

725-

46-2

Her

bici

de1

1,00

0A

I EC

OTO

X1

HB

SLC

AN

ALW

QG

Cya

nazi

ne a

cid

NAV

Deg

rada

te1

NAV

NAV

NAV

NAV

–C

yana

zine

am

ide

NAV

Deg

rada

te1

NAV

NAV

NAV

NAV

–C

yflut

hrin

6835

9-37

-5In

sect

icid

e1

0.01

25A

I EC

OTO

X20

0H

BSL

–C

yhal

othr

in (l

ambd

a-C

yhal

othr

in)

9146

5-08

-6In

sect

icid

e1

0.02

AI E

CO

TOX

40H

BSL

–ga

mm

a-C

yhal

othr

in76

703-

62-3

Inse

ctic

ide

1; re

late

d co

mpo

und

––

––

Cyp

erm

ethr

in52

315-

07-8

Inse

ctic

ide

10.

069

CI O

PP40

HB

SL–

zeta

-Cyp

erm

ethr

in69

865-

47-0

Inse

ctic

ide

1; re

late

d co

mpo

und

––

––

Dac

thal

1861

-32-

1H

erbi

cide

111

,000

AN

VP

OPP

70H

BSL

SFIR

EGD

acth

al m

onoa

cid

887-

54-7

Deg

rada

te1

6,11

1C

F EC

OSA

RN

AVN

AVU

CM

R, S

FIR

EGD

echl

oroa

ceto

chlo

rN

AVD

egra

date

1N

AVN

AVN

AVN

AV–

Dec

hlor

oala

chlo

rN

AVD

egra

date

1N

AVN

AVN

AVN

AV–

Dec

hlor

odim

ethe

nam

idN

AVD

egra

date

1N

AVN

AVN

AVN

AV–

Dec

hlor

omet

olac

hlor

NAV

Deg

rada

te1

NAV

NAV

NAV

NAV

–D

eeth

ylat

razi

ne61

90-6

5-4

Deg

rada

te1

1,00

0A

NV

P O

PP5

CM

AC

SFIR

EGD

eeth

ylcy

anaz

ine

NAV

Deg

rada

te1

NAV

NAV

NAV

NAV

Page 99: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 3. 85Ta

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Dee

thyl

cyan

azin

e ac

idN

AVD

egra

date

1N

AVN

AVN

AVN

AV–

Dee

thyl

cyan

azin

e am

ide

NAV

Deg

rada

te1

NAV

NAV

NAV

NAV

–D

eeth

ylhy

drox

yatra

zine

NAV

Deg

rada

te1

NAV

NAV

5C

MA

C–

Dei

sopr

opyl

pro

met

ryn

NAV

Deg

rada

te1

NAV

NAV

NAV

NAV

–D

eiso

prop

ylat

razi

ne10

07-2

8-9

Deg

rada

te1

2,50

0A

NV

P O

PP5

CM

AC

SFIR

EGD

eiso

prop

ylhy

drox

yatra

zine

7313

-54-

4D

egra

date

158

CI E

CO

SAR

5C

MA

C–

delta

-HC

H31

9-86

-8In

sect

icid

e m

ixtu

re

com

pone

nt, b

y-pr

oduc

t, de

grad

ate

142

0A

F EC

OTO

XN

AVN

AV–

Del

tam

ethr

in52

918-

63-5

Inse

ctic

ide

10.

0145

AI E

CO

TOX

NAV

NAV

CA

NA

LWQ

GD

emet

hyl fl

uom

etur

onN

AVD

egra

date

1N

AVN

AVN

AVN

AV–

Dem

ethy

l nor

flura

zon

NAV

Deg

rada

te1

NAV

NAV

NAV

NAV

SFIR

EGD

esul

finyl

fipro

nil (

MB

4651

3)N

AVD

egra

date

1N

AVN

AVN

AVN

AV–

Des

ulfin

ylfip

roni

l am

ide

(R

PA 1

0504

8)N

AVD

egra

date

1N

AVN

AVN

AVN

AV–

Dia

zino

n33

3-41

-5In

sect

icid

e1

0.10

5A

I OPP

1H

BSL

UC

MR

, SFI

REG

, G

LWQ

A, O

W

NRW

QC

Dia

zino

n ox

ygen

ana

log

962-

58-3

Deg

rada

te1

3,02

0C

F EC

OSA

RN

AVN

AV–

Dic

amba

1918

-00-

9H

erbi

cide

161

AN

VP

OPP

3,00

0H

BSL

SFIR

EG,

CA

NA

LWQ

GD

ichl

oben

il11

94-6

5-6

Her

bici

de1

30AV

P O

PP9

HB

SL–

Dic

hlor

vos

62-7

3-7

Inse

ctic

ide/

fum

igan

t/deg

-ra

date

1N

AVN

AVN

AVN

AV–

Dic

ofol

111

5-32

-2In

sect

icid

e1

1C

F O

PP to

xN

AVN

AV–

Page 100: Prioritizing Pesticide Compounds for Analytical Methods

86 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Dic

roto

phos

141-

66-2

Inse

ctic

ide

10.

99C

I OPP

0.05

HB

SLC

CL3

Did

ealk

ylat

razi

ne33

97-6

2-4

Deg

rada

te1

50,0

00A

F O

PPN

AVN

AVSF

IREG

Die

ldrin

60-5

7-1

Inse

ctic

ide

10.

056

C O

W0.

002

HB

SLO

W N

RWQ

CD

iflub

enzu

ron

3536

7-38

-5In

sect

icid

e1

0.06

CI O

PP to

xN

AVN

AV–

Difl

ufen

zopy

r10

9293

-97-

2H

erbi

cide

10.

63A

NV

P EC

OSA

RN

AVN

AVO

PP R

egD

imet

hena

mid

8767

4-68

-8H

erbi

cide

11,

300

AF

ECO

TOX

NAV

NAV

SFIR

EGD

imet

hena

mid

ESA

NAV

Deg

rada

te1

NAV

NAV

NAV

NAV

–D

imet

hena

mid

OA

NAV

Deg

rada

te1

NAV

NAV

NAV

NAV

–D

imet

hena

mid

-P16

3515

-14-

8H

erbi

cide

18.

9AV

P O

PPN

AVN

AV–

Dim

etho

ate

60-5

1-5

Inse

ctic

ide

10.

5C

I OPP

2H

BSL

CC

L3, U

CM

R,

CA

NA

LWQ

GD

iqua

t85

-00-

7H

erbi

cide

10.

0036

AVP

OPP

tox

20M

CL

MC

LD

isul

foto

n29

8-04

-4In

sect

icid

e1

0.01

CI O

PP0.

9H

BSL

CC

L3, U

CM

RD

isul

foto

n su

lfone

2497

-06-

5D

egra

date

10.

14C

I OPP

NAV

NAV

–D

isul

foto

n su

lfoxi

de24

97-0

7-6

Deg

rada

te1

1.53

CI O

PPN

AVN

AV–

Diu

ron

330-

54-1

Her

bici

de1

2.4

AN

VP

OPP

2H

BSL

CC

L3, U

CM

R,

SFIR

EG, H

PVEn

dosu

lfan

115-

29-7

Inse

ctic

ide

10.

07C

I OPP

40H

BSL

SFIR

EG,

CA

NA

LWQ

G,

OW

NRW

QC

alph

a-En

dosu

lfan

959-

98-8

Inse

ctic

ide

1; re

late

d co

mpo

und

––

––

CA

NA

LWQ

G,

OW

NRW

QC

beta

-End

osul

fan

3321

3-65

-9In

sect

icid

e1;

rela

ted

com

poun

d–

––

–C

AN

ALW

QG

, O

W N

RWQ

CEn

dosu

lfan

ethe

r33

69-5

2-6

Deg

rada

te1

NAV

NAV

NAV

NAV

Page 101: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 3. 87Ta

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Endo

sulfa

n su

lfate

1031

-07-

8D

egra

date

11.

9A

F O

PPN

AVN

AV–

Endo

thal

l 214

5-73

-3H

erbi

cide

11.

9A

NV

P O

PP to

x10

0M

CL

MC

LEP

TC

(S-E

thyl

dip

ropy

lthio

carb

amat

e)75

9-94

-4H

erbi

cide

181

0C

I OPP

200

HB

SLU

CM

R

Esfe

nval

erat

e66

230-

04-4

Inse

ctic

ide

10.

017

CI O

PPN

AVN

AVSF

IREG

Etha

lflur

alin

5528

3-68

-6H

erbi

cide

10.

4C

F O

PP30

HB

SL–

Etho

prop

1319

4-48

-4In

sect

icid

e1

22A

I OPP

1H

BSL

CC

L3, S

FIR

EGEt

oxaz

ole

1532

33-9

1-1

Inse

ctic

ide

11.

07C

F EC

OSA

RN

AVN

AVO

PP R

egFa

mox

adon

e13

1807

-57-

3Fu

ngic

ide

11.

47C

F EC

OSA

RN

AVN

AVO

PP R

egFe

nam

ipho

s22

224-

92-6

Inse

ctic

ide

10.

12C

I USG

S0.

7H

BSL

CC

L3Fe

nam

ipho

s sul

fone

3197

2-44

-8D

egra

date

158

7A

F U

SGS

NAV

NAV

–Fe

nam

ipho

s sul

foxi

de31

972-

43-7

Deg

rada

te1

3.75

AI U

SGS

NAV

NAV

–Fe

nbut

atin

oxi

de13

356-

08-6

Inse

ctic

ide

10.

75A

F O

PP to

xN

AVN

AV–

Fenp

ropa

thrin

3951

5-41

-8In

sect

icid

e1

0.26

5A

I EC

OTO

XN

AVN

AV–

Fent

in h

ydro

xide

(T

PTH

, Trip

heny

ltin

hydr

oxid

e)76

-87-

9Fu

ngic

ide/

m

ollu

scic

ide/

herb

icid

e1

1.85

AF

ECO

TOX

NAV

NAV

CC

L3, H

PV

Fipr

onil

1200

68-3

7-3

Inse

ctic

ide

112

.5A

F EC

OTO

XN

AVN

AV–

Fipr

onil

sulfi

de12

0067

-83-

6D

egra

date

1N

AVN

AVN

AVN

AV–

Fipr

onil

sulfo

ne12

0068

-36-

2D

egra

date

15,

600

AI E

CO

TOX

NAV

NAV

–Fl

umet

sula

m98

967-

40-9

Her

bici

de1

127,

000

AI E

CO

TOX

7,00

0H

BSL

–Fl

umic

lora

c 3

8754

6-18

-7H

erbi

cide

11.

49C

F EC

OSA

RN

AVN

AV–

Fluo

met

uron

2164

-17-

2H

erbi

cide

130

AN

VP

OPP

4H

BSL

–Fo

nofo

s94

4-22

-9In

sect

icid

e1

1A

I EC

OTO

X10

HB

SLU

CM

RFo

nofo

s oxy

gen

anal

og94

4-21

-8D

egra

date

1N

AVN

AVN

AVN

AV–

Page 102: Prioritizing Pesticide Compounds for Analytical Methods

88 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Form

etan

ate

hydr

ochl

orid

e23

422-

53-9

Inse

ctic

ide

10.

5C

I OPP

tox

NAV

NAV

–ga

mm

a-H

CH

58-8

9-9

Inse

ctic

ide

10.

5A

I OPP

0.2

MC

LM

CL,

SFI

REG

, C

AN

ALW

QG

, G

LWQ

A, O

W

NRW

QC

Gly

phos

ate

1071

-83-

6H

erbi

cide

11,

800

CF

OPP

700

MC

LM

CL,

SFI

REG

, C

AN

ALW

QG

Hal

osul

furo

n-m

ethy

l10

0784

-20-

1H

erbi

cide

149

AN

VP

ECO

SAR

NAV

NAV

–H

exaz

inon

e51

235-

04-2

Her

bici

de1

7A

NV

P O

PP40

0H

BSL

SFIR

EGH

ydro

xyac

etoc

hlor

6009

0-47

-3D

egra

date

1N

AVN

AVN

AVN

AV–

Hyd

roxy

alac

hlor

NAV

Deg

rada

te1

NAV

NAV

NAV

NAV

–H

ydro

xydi

met

hana

mid

NAV

Deg

rada

te1

NAV

NAV

NAV

NAV

–H

ydro

xym

etol

achl

or13

1068

-72-

9D

egra

date

1N

AVN

AVN

AVN

AV–

Hyd

roxy

sim

azin

e25

99-1

1-3

Deg

rada

te1

NAV

NAV

NAV

NAV

–Im

azam

ox11

4311

-32-

9H

erbi

cide

111

AVP

OPP

NAV

NAV

OPP

Reg

Imaz

aqui

n81

335-

37-7

Her

bici

de1

140,

000

AF

ECO

TOX

2,00

0H

BSL

–Im

azet

hapy

r81

335-

77-5

Her

bici

de1

120,

000

AF

ECO

TOX

2,00

0H

BSL

–Im

idac

lopr

id13

8261

-41-

3In

sect

icid

e1

1.05

CI O

PP40

0H

BSL

SFIR

EG,

CA

NA

LWQ

GIn

doxa

carb

1735

84-4

4-6

Inse

ctic

ide

10.

099

AN

VP

ECO

SAR

NAV

NAV

OPP

Reg

Ipro

dion

e36

734-

19-7

Fung

icid

e1

120

AI O

PP0.

8H

BSL

–Is

oxafl

utol

e14

1112

-29-

0H

erbi

cide

14.

9AV

P O

PPN

AVN

AVSF

IREG

, OPP

R

egK

reso

xim

-met

hyl

1433

90-8

9-0

Fung

icid

e1

6C

F EC

OSA

RN

AVN

AVO

PP R

eg

Page 103: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 3. 89Ta

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Linu

ron

330-

55-2

Her

bici

de1

0.09

CI O

PP5

HB

SLU

CM

R,

CA

NA

LWQ

GM

alao

xon

1634

-78-

2D

egra

date

12.

7A

I EC

OTO

XN

AVN

AV–

Mal

athi

on12

1-75

-5In

sect

icid

e1

0.00

0026

CI O

PP50

HB

SLSF

IREG

, OW

N

RWQ

CM

aneb

1242

7-38

-2Fu

ngic

ide

113

.4A

NV

P O

PPN

AVN

AV–

MB

C (C

arbe

ndaz

im)

1060

5-21

-7D

egra

date

12

CF

OPP

tox

NAV

NAV

–M

CPA

(2

-Met

hyl-4

-chl

orop

heno

xyac

etic

ac

id)

94-7

4-6

Her

bici

de1

170

AVP

OPP

30H

BSL

SFIR

EG,

CA

NA

LWQ

G,

HPV

Met

alax

yl57

837-

19-1

Fung

icid

e1

1,20

0C

I OPP

600

HB

SLSF

IREG

Met

am so

dium

137-

42-8

Fum

igan

t/ he

rbic

ide/

fu

ngic

ide/

m

icro

bioc

ide/

al

gaec

ide

125

.6A

F O

PPN

AVN

AV–

Met

cona

zole

1251

16-2

3-6

Fung

icid

e1

20C

F EC

OSA

RN

AVN

AVO

PP R

egM

etha

mid

opho

s10

265-

92-6

Inse

ctic

ide

14.

5C

I OPP

NAV

NAV

CC

L3M

ethi

dath

ion

950-

37-8

Inse

ctic

ide

10.

66C

I OPP

1H

BSL

–M

etho

myl

1675

2-77

-5In

sect

icid

e1

0.7

CI O

PP20

0H

BSL

–M

etho

myl

-oxi

me

1374

9-94

-5D

egra

date

115

CI E

CO

SAR

NAV

NAV

HPV

Met

hoxy

chlo

r72

-43-

5In

sect

icid

e1

0.03

C O

W40

MC

LM

CL,

GLW

QA

, O

W N

RWQ

CM

etho

xyfe

nozi

de16

1050

-58-

4In

sect

icid

e1

0.06

9A

NV

P EC

OSA

RN

AVN

AV–

Page 104: Prioritizing Pesticide Compounds for Analytical Methods

90 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Met

olac

hlor

5121

8-45

-2H

erbi

cide

11

CI O

PP70

0H

BSL

CC

L3, U

CM

R,

SFIR

EG,

CA

NA

LWQ

GM

etol

achl

or E

SA17

1118

-09-

5D

egra

date

124

,000

AF

OPP

NAV

NAV

CC

L3, U

CM

R,

SFIR

EGM

etol

achl

or O

A15

2019

-73-

3 D

egra

date

17,

700

AI O

PPN

AVN

AVC

CL3

, UC

MR

, SF

IREG

Met

ribuz

in21

087-

64-9

Her

bici

de1

8.7

AN

VP

OPP

90H

BSL

SFIR

EG,

CA

NA

LWQ

GM

olin

ate

2212

-67-

1H

erbi

cide

110

5A

F O

PP0.

7H

BSL

CC

L3, U

CM

RM

yclo

buta

nil

8867

1-89

-0Fu

ngic

ide

11,

200

AF

ECO

TOX

200

HB

SL–

Nal

ed30

0-76

-5In

sect

icid

e1

0.04

5C

I OPP

10H

BSL

–N

icos

ulfu

ron

1119

91-0

9-4

Her

bici

de1

46A

NV

P EC

OSA

R9,

000

HB

SL–

Nor

flura

zon

2731

4-13

-2H

erbi

cide

19.

7A

NV

P O

PP10

HB

SLSF

IREG

Nov

alur

on11

6714

-46-

6H

erbi

cide

10.

99C

F EC

OSA

RN

AVN

AVO

PP R

egO

-Eth

yl-O

-met

hyl-

S-pr

opyl

phos

phor

othi

oate

7696

0-87

-7D

egra

date

1N

AVN

AVN

AVN

AV–

Ory

zalin

1904

4-88

-3H

erbi

cide

115

.4AV

P O

PP4

HB

SL–

Oxa

myl

2313

5-22

-0In

sect

icid

e1

90A

I OPP

200

MC

LM

CL

Oxa

myl

oxi

me

3055

8-43

-1D

egra

date

135

CI E

CO

SAR

NAV

NAV

–O

xyflu

orfe

n42

874-

03-3

Her

bici

de1

0.29

AN

VP

OPP

20H

BSL

CC

L3p,

pʹ-D

DE

(p,p

ʹ-Dic

hlor

odip

heny

l-di

chlo

roet

hyle

ne)

72-5

5-9

Deg

rada

te1

0.00

1C

OW

0.1

HB

SLU

CM

R, O

W

NRW

QC

Para

oxon

-met

hyl

950-

35-6

Deg

rada

te1

1C

I OPP

NAV

NAV

Page 105: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 3. 91Ta

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Para

quat

4685

-14-

7H

erbi

cide

10.

55A

NV

P O

PP to

x10

CM

AC

–Pa

rath

ion-

met

hyl

298-

00-0

Inse

ctic

ide

10.

25C

I OPP

1H

BSL

–Pe

ndim

etha

lin40

487-

42-1

Her

bici

de1

5.4

AN

VP

OPP

70H

BSL

SFIR

EGPe

rmet

hrin

5264

5-53

-1In

sect

icid

e1

0.00

14C

I OPP

4H

BSL

CC

L3,

CA

NA

LWQ

GPh

orat

e29

8-02

-2In

sect

icid

e1

0.21

CI O

PP4

HB

SL–

Phor

ate

oxon

2600

-69-

3D

egra

date

15,

549

CF

ECO

SAR

NAV

NAV

–Ph

osm

et73

2-11

-6In

sect

icid

e1

0.8

CI O

PP8

HB

SLSF

IREG

Phos

met

oxo

n37

35-3

3-9

Deg

rada

te1

1,50

7A

NV

P EC

OSA

RN

AVN

AV–

Pipe

rony

l but

oxid

e51

-03-

6Sy

nerg

ist

130

CI O

PP to

xN

AVN

AV–

Prof

enof

os41

198-

08-7

Inse

ctic

ide

10.

2C

I OPP

0.4

HB

SLC

CL3

Prom

eton

1610

-18-

0H

erbi

cide

198

AN

VP

OPP

400

HB

SLU

CM

R, S

FIR

EGPr

omet

ryn

7287

-19-

6H

erbi

cide

11

AN

VP

OPP

300

HB

SLSF

IREG

Pron

amid

e23

950-

58-5

Her

bici

de1

600

CI O

PP1

HB

SL–

Prop

anil

709-

98-8

Her

bici

de1

9.1

CF

OPP

6H

BSL

–Pr

opar

gite

2312

-35-

8In

sect

icid

e1

9C

I OPP

1H

BSL

–Pr

opaz

ine

139-

40-2

Her

bici

de1

5,50

0A

I EC

OTO

X10

0H

BSL

SFIR

EG, O

PP

Reg

, HPV

Prop

icon

azol

e60

207-

90-1

Fung

icid

e1

93A

NV

P O

PP70

HB

SLSF

IREG

Prop

oxur

114-

26-1

Inse

ctic

ide

15.

5A

I OPP

9H

BSL

–Pr

osul

furo

n94

125-

34-5

Her

bici

de1

19C

F EC

OSA

R10

0H

BSL

–Py

met

rozi

ne12

3312

-89-

0In

sect

icid

e1

0.04

1A

NV

P EC

OSA

RN

AVN

AVO

PP R

egPy

racl

ostro

bin

1750

13-1

8-0

Fung

icid

e1

3.1

AF

OPP

Eco

tox

200

PHB

SL–

Pyre

thrin

s80

03-3

4-7

Inse

ctic

ide

10.

45C

I EC

OSA

RN

AVN

AV–

Page 106: Prioritizing Pesticide Compounds for Analytical Methods

92 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Pyrid

aben

9648

9-71

-3In

sect

icid

e1

0.26

5A

I EC

OTO

XN

AVN

AV–

RPA

202

248

1437

01-7

5-1

Deg

rada

te1

75AV

P O

PPN

AVN

AV–

RPA

203

328

1429

94-0

6-7

Deg

rada

te1

5,90

0A

NV

P O

PP to

xN

AVN

AV–

Sidu

ron

1982

-49-

6H

erbi

cide

16,

500

AF

ECO

TOX

1,00

0H

BSL

–Si

maz

ine

122-

34-9

Her

bici

de1

36A

NV

P O

PP4

MC

LM

CL,

SFI

REG

, C

AN

ALW

QG

, H

PVS-

Met

olac

hlor

8739

2-12

-9H

erbi

cide

18

AN

VP

OPP

tox

NAV

NAV

–Su

lfom

etur

on-m

ethy

l74

222-

97-2

Her

bici

de1

6,08

7,00

0A

I EC

OTO

X2,

000

HB

SL–

Sulfo

sulfu

ron

1417

76-3

2-1

Her

bici

de1

1AV

P O

PPN

AVN

AV–

TCPS

A (T

richl

orop

rope

ne

sulfo

nic

acid

)65

600-

62-6

Deg

rada

te1

NAV

NAV

NAV

NAV

Tebu

cona

zole

10

7534

-96-

3Fu

ngic

ide

12,

000

AI E

CO

TOX

NAV

NAV

CC

L3Te

bupi

rimfo

s96

182-

53-5

Inse

ctic

ide

10.

039

AI E

CO

TOX

NAV

NAV

–Te

bupi

rimfo

s oxy

gen

anal

ogue

NAV

Deg

rada

te1

NAV

NAV

NAV

NAV

–Te

buth

iuro

n34

014-

18-1

Her

bici

de1

50A

NV

P O

PP1,

000

HB

SLSF

IREG

, C

AN

ALW

QG

Teflu

thrin

7953

8-32

-2In

sect

icid

e1

0.03

AF

ECO

TOX

40H

BSL

–Te

fluth

rin m

etab

olite

[R 1

1936

4]N

AVD

egra

date

1N

AVN

AVN

AVN

AV–

Teflu

thrin

met

abol

ite [R

152

912]

NAV

Deg

rada

te1

NAV

NAV

NAV

NAV

–Te

rbac

il59

02-5

1-2

Her

bici

de1

11A

NV

P O

PP90

HB

SLU

CM

R, S

FIR

EGTe

rbuf

os13

071-

79-9

Inse

ctic

ide

10.

03C

I OPP

0.4

HB

SLC

CL3

, UC

MR

Terb

ufos

sulfo

ne56

070-

16-7

Deg

rada

te1

0.66

AI E

CO

SAR

NAV

NAV

CC

L3, U

CM

RTe

rbuf

os-O

-ana

logu

e su

lfone

5607

0-15

-6D

egra

date

11,

160

CF

ECO

SAR

NAV

NAV

Page 107: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 3. 93Ta

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Terb

uthy

lazi

ne59

15-4

1-3

Her

bici

de1

1,70

0A

F U

SGS

2H

BSL

HPV

Tetra

cona

zole

1122

81-7

7-3

Fung

icid

e1

22C

F EC

OSA

RN

AVN

AVO

PP R

egTh

iobe

ncar

b28

249-

77-6

Her

bici

de1

1C

I OPP

70H

BSL

–tr

ans-

Met

hyl-3

-(2,

2-di

chlo

rovi

nyl)-

2,

2-di

met

hyl-(

1-cy

clop

ropa

ne)-

carb

oxyl

ate

t618

98-9

5-1

Deg

rada

te1

NAV

NAV

NAV

NAV

tran

s-Pr

opic

onaz

ole

t602

07-9

0-1

Fung

icid

e1

93A

NV

P O

PP70

HB

SL–

Tria

llate

2303

-17-

5H

erbi

cide

113

CI O

PP20

HB

SLSF

IREG

, C

AN

ALW

QG

Trib

enur

on-m

ethy

l10

1200

-48-

0H

erbi

cide

111

1C

F EC

OSA

R6

HB

SL–

Trib

upho

s78

-48-

8D

efol

iant

11.

56C

I OPP

7H

BSL

CC

L3Tr

iclo

pyr

5533

5-06

-3H

erbi

cide

110

0A

NV

P O

PP40

0H

BSL

SFIR

EGTr

iflox

ystro

bin

1415

17-2

1-7

Fung

icid

e1

2.76

CI O

PP E

coto

x30

0PH

BSL

OPP

Reg

Trifl

ural

in15

82-0

9-8

Her

bici

de1

1.14

CF

OPP

20H

BSL

SFIR

EG,

CA

NA

LWQ

GZi

ram

137-

30-4

Fung

icid

e1

9.7

AF

OPP

NAV

NAV

CC

L31,

4-N

apth

aqui

none

130-

15-4

Deg

rada

te o

f na

prop

amid

e2

83.5

AF

ECO

SAR

NAV

NAV

2,4,

5-T

(2,4

,5-T

richl

orop

heno

xyac

etic

ac

id)

93-7

6-5

Her

bici

de2

75A

F EC

OTO

X70

HB

SLSF

IREG

, C

AN

ALW

QG

2,4,

5-TP

(2

-[2,

4,5-

Tric

hlor

ophe

noxy

] pr

opio

nic

acid

)

93-7

2-1

Her

bici

de2

170

AI E

CO

TOX

50M

CL

MC

L, S

FIR

EG,

CA

NA

LWQ

G

Page 108: Prioritizing Pesticide Compounds for Analytical Methods

94 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

2,4-

DB

(4

-[2,

4-D

ichl

orop

heno

xy]

buty

ric a

cid)

94-8

2-6

Her

bici

de2

932

AN

VP

OPP

200

HB

SLSF

IREG

, C

AN

ALW

QG

3-(4

-chl

orop

heny

l)-1-

met

hyl u

rea

5352

-88-

5D

egra

date

of

mon

uron

, m

onol

inur

on

2N

AVN

AVN

AVN

AVO

PP R

eg

3-Ph

enox

yben

zyl a

lcoh

ol13

826-

35-2

Deg

rada

te o

f py

reth

roid

s2

587

AI E

CO

SAR

NAV

NAV

HPV

Ace

quin

ocyl

5796

0-19

-7In

sect

icid

e 2

0.71

CF

ECO

SAR

NAV

NAV

OPP

Reg

Ace

tam

iprid

1354

10-2

0-7

Inse

ctic

ide

210

4A

F EC

OSA

RN

AVN

AVO

PP R

egA

cibe

nzol

ar13

5158

-54-

2Fu

ngic

ide

25,

206

CF

ECO

SAR

NAV

NAV

OPP

Reg

Ald

rin30

9-00

-2In

sect

icid

e2

1.5

C O

W0.

002

HB

SLO

W N

RWQ

CA

min

opyr

alid

1501

14-7

1-9

Her

bici

de2

NAV

NAV

NAV

NAV

OPP

Reg

Ben

sulid

e74

1-58

-2H

erbi

cide

229

0A

I OPP

NAV

NAV

CC

L3B

osca

lid18

8425

-85-

6Fu

ngic

ide

211

6C

F O

PP E

coto

x20

0PH

BSL

OPP

Reg

Cap

tan

133-

06-2

Fung

icid

e2

13.1

AF

OPP

900

HB

SLC

CL3

, C

AN

ALW

QG

Car

fent

razo

ne12

8639

-02-

1H

erbi

cide

20.

077

AN

VP

ECO

SAR

NAV

NAV

OPP

Reg

Chl

orda

ne57

-74-

9In

sect

icid

e2

0.00

43C

OW

2M

CL

MC

L, G

LWQ

A,

OW

NRW

QC

cis-

Chl

orda

ne51

03-7

1-9

Inse

ctic

ide

2; re

late

d co

mpo

und

–C

OW

(c

hlor

dane

)–

–G

LWQ

A, O

W

NRW

QC

tran

s-C

hlor

dane

5103

-74-

2In

sect

icid

e2;

rela

ted

com

poun

d–

C O

W

(chl

orda

ne)

––

GLW

QA

, OW

N

RWQ

CC

leth

odim

9912

9-21

-2H

erbi

cide

29,

500

AF

ECO

TOX

NAV

NAV

CC

L3

Page 109: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 3. 95Ta

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Clo

dina

fop

1144

20-5

6-3

Her

bici

de2

1,45

5A

F EC

OSA

RN

AVN

AVO

PP R

egC

lopy

ralid

1702

-17-

6H

erbi

cide

256

,500

AI O

PPN

AVN

AVSF

IREG

Clo

rans

ulam

1595

18-9

7-5

Her

bici

de2

NAV

NAV

NAV

NAV

OPP

Reg

Clo

thia

nidi

n20

5510

-53-

8In

sect

icid

e2

NAV

NAV

NAV

NAV

OPP

Reg

Cop

per h

ydro

xide

2042

7-59

-2Fu

ngic

ide/

m

icro

bioc

ide/

ne

mat

icid

e

29

(c

oppe

r)C

OW

NAV

NAV

GLW

QA

, O

W N

RWQ

C

Cop

per o

ctan

oate

2054

3-04

-8Fu

ngic

ide

220

3C

F EC

OSA

RN

AVN

AVO

PP R

egC

oppe

r oxy

chlo

ride

1332

-65-

6Fu

ngic

ide

29

(c

oppe

r)C

OW

NAV

NAV

GLW

QA

, O

W N

RWQ

CC

oppe

r oxy

chlo

ride

sulfa

te80

12-6

9-9

Fung

icid

e2

9

(cop

per)

C O

WN

AVN

AVG

LWQ

A,

OW

NRW

QC

Cop

per s

ulfa

te77

58-9

8-7

Fung

icid

e/

alga

ecid

e/

mol

lusc

icid

e

29

(c

oppe

r)C

OW

NAV

NAV

GLW

QA

, O

W N

RWQ

C

Cup

rous

oxi

de13

17-3

9-1

Fung

icid

e/

inse

ctic

ide

29

(c

oppe

r)C

OW

NAV

NAV

GLW

QA

, O

W N

RWQ

CC

yazo

fam

id12

0116

-88-

3Fu

ngic

ide

2N

AVN

AVN

AVN

AVO

PP R

egC

ycla

nilid

e11

3136

-77-

9Pl

ant g

row

th

regu

lato

r2

2,50

0A

I EC

OTO

XN

AVN

AVO

PP R

eg

Cyh

alof

op12

2008

-78-

0H

erbi

cide

293

CF

ECO

SAR

NAV

NAV

OPP

Reg

Cym

oxan

il57

966-

95-7

Fung

icid

e2

14,0

00A

I EC

OTO

XN

AVN

AVO

PP R

egC

ypro

dini

l12

1552

-61-

2Fu

ngic

ide

216

AI E

CO

TOX

NAV

NAV

OPP

Reg

DC

NA

(Dic

hlor

an)

99-3

0-9

Fung

icid

e2

49C

F O

PP to

xN

AVN

AVH

PVD

ecan

-1-o

l11

2-30

-1Pl

ant g

row

th

regu

lato

r2

1,20

0A

F EC

OTO

XN

AVN

AVH

PV

Page 110: Prioritizing Pesticide Compounds for Analytical Methods

96 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Dic

hlor

prop

120-

36-5

Her

bici

de2

2,68

0AV

P O

PP to

x30

0H

BSL

CA

NA

LWQ

GD

iclo

fop

4084

3-25

-2H

erbi

cide

23,

191

CF

ECO

SAR

NAV

NAV

–D

iclo

sula

m14

5701

-21-

9H

erbi

cide

2N

AVN

AVN

AVN

AVO

PP R

egD

imet

hipi

n55

290-

64-7

Plan

t gro

wth

regu

lato

r/ de

folia

nt2

1,00

0C

I OPP

tox

NAV

NAV

CC

L3

Dim

etho

mor

ph11

0488

-70-

5Fu

ngic

ide

215

2C

F EC

OSA

RN

AVN

AVO

PP R

egE-

Dim

etho

mor

phe1

1048

8-70

-5Fu

ngic

ide

2; re

late

d co

mpo

und

––

––

Z-D

imet

hom

orph

z110

488-

70-5

Fung

icid

e2;

rela

ted

com

poun

d–

––

––

Din

oseb

88-8

5-7

Her

bici

de2

14A

F EC

OTO

X7

MC

LM

CL,

C

AN

ALW

QG

, H

PVD

inot

efur

an16

5252

-70-

0In

sect

icid

e2

NAV

NAV

NAV

NAV

OPP

Reg

Endr

in72

-20-

8In

sect

icid

e/av

icid

e2

0.08

6C

OW

2M

CL

MC

L,

OW

NRW

QC

Endr

in a

ldeh

yde

7421

-93-

4D

egra

date

of e

ndrin

2N

AVN

AVN

AVN

AV–

Endr

in k

eton

e53

494-

70-5

Deg

rada

te o

f end

rin2

NAV

NAV

NAV

NAV

–Et

hyle

neth

iour

ea (E

TU)

96-4

5-7

Deg

rada

te o

f met

iram

22

CI O

PPN

AVN

AVC

CL3

Fenh

exam

id12

6833

-17-

8Fu

ngic

ide

2N

AVN

AVN

AVN

AVO

PP R

egFl

uazi

nam

7962

2-59

-6Fu

ngic

ide

218

AF

ECO

TOX

NAV

NAV

OPP

Reg

Fluc

arba

zone

1812

74-1

7-9

Her

bici

de2

NAV

NAV

NAV

NAV

OPP

Reg

Fluf

enac

et14

2459

-58-

3H

erbi

cide

22,

920

AF

ECO

TOX

NAV

NAV

OPP

Reg

Fluf

enac

et E

SAN

AVD

egra

date

of fl

ufen

acet

2N

AVN

AVN

AVN

AV–

Fluf

enac

et O

AN

AVD

egra

date

of fl

ufen

acet

2N

AVN

AVN

AVN

AV–

Page 111: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 3. 97Ta

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Flum

ioxa

zin

1033

61-0

9-7

Her

bici

de2

891

CF

ECO

SAR

NAV

NAV

OPP

Reg

Flur

oxyp

yr69

377-

81-7

Her

bici

de2

7,15

0A

F EC

OTO

XN

AVN

AVO

PP R

egFl

uthi

acet

-met

hyl

1173

37-1

9-6

Her

bici

de2

0.07

6A

NV

P EC

OSA

RN

AVN

AVO

PP R

egFo

ram

sulfu

ron

1731

59-5

7-4

Her

bici

de2

NAV

NAV

NAV

NAV

OPP

Reg

Hep

tach

lor

76-4

4-8

Inse

ctic

ide

20.

0038

C O

W0.

4M

CL

MC

L,

OW

NRW

QC

Hep

tach

lor e

poxi

de10

24-5

7-3

Deg

rada

te o

f hep

tach

lor

20.

0038

C O

W0.

2M

CL

MC

L,

OW

NRW

QC

Imaz

amet

habe

nz81

405-

85-8

Her

bici

de2

110,

000

AI E

CO

TOX

NAV

NAV

SFIR

EGIm

azap

yr81

334-

34-1

Her

bici

de2

18AV

P O

PP20

,000

HB

SLSF

IREG

MC

PB (4

-[4-

Chl

oro-

2-

met

hylp

heno

xy]b

utan

oic

acid

)94

-81-

5H

erbi

cide

221

0AV

P O

PP10

0H

BSL

SFIR

EG,

CA

NA

LWQ

GM

esos

ulfu

ron

2084

65-2

1-8

Her

bici

de2

NAV

NAV

NAV

NAV

OPP

Reg

Mes

otrio

ne10

4206

-82-

8H

erbi

cide

2N

AVN

AVN

AVN

AVSF

IREG

, OPP

R

egM

ethy

l iod

ide

74-8

8-4

Fum

igan

t/nem

atoc

ide

214

,453

CI E

CO

SAR

NAV

NAV

OPP

Reg

Met

sulfu

ron-

met

hyl

7422

3-64

-6H

erbi

cide

227

5,00

0A

F EC

OTO

X2,

000

HB

SLSF

IREG

Mire

x23

85-8

5-5

Inse

ctic

ide

20.

001

C O

W1

HB

SLO

W N

RWQ

CM

SMA

(Mon

osod

ium

m

ethy

lars

enat

e)21

63-8

0-6

Her

bici

de2

2,80

0A

NV

P O

PP to

xN

AVN

AVSF

IREG

Nap

ropa

mid

e15

299-

99-7

Her

bici

de2

1,10

0C

F O

PP80

0H

BSL

SFIR

EGO

rthos

ulfa

mur

on4

2134

64-7

7-8

Her

bici

de2

NAV

NAV

NAV

NAV

OPP

Reg

Oxy

dem

eton

-met

hyl

301-

12-2

Inse

ctic

ide

25

CF

OPP

NAV

NAV

CC

L3

Page 112: Prioritizing Pesticide Compounds for Analytical Methods

98 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

p,pʹ

-DD

D

(p,p

ʹ-Dic

hlor

odip

heny

l-di

chlo

roet

hane

)

72-5

4-8

Deg

rada

te o

f D

DT

20.

001

C O

W0.

1H

BSL

OW

NRW

QC

p,pʹ

-DD

T (p

,pʹ-D

ichl

orod

iphe

nyl-

trich

loro

etha

ne)

50-2

9-3

Inse

ctic

ide/

ac

aric

ide

20.

001

C O

W0.

1H

BSL

OW

NRW

QC

Para

thio

n56

-38-

2In

sect

icid

e2

0.00

2C

I USG

S0.

02H

BSL

GLW

QA

, OW

N

RWQ

CPe

noxs

ulam

2197

14-9

6-2

Her

bici

de2

NAV

NAV

NAV

NAV

OPP

Reg

Picl

oram

1918

-02-

1H

erbi

cide

255

0C

F O

PP50

0M

CL

MC

L, S

FIR

EG,

CA

NA

LWQ

G,

HPV

Pino

xade

n24

3973

-20-

8H

erbi

cide

21,

200

AN

VP

OPP

NAV

NAV

OPP

Reg

Pirm

icar

b23

103-

98-2

Inse

ctic

ide

2N

AVN

AVN

AVN

AVO

PP R

egPo

tass

ium

ole

ate

143-

18-0

Adj

uvan

t2

1.8E

+20

AN

VP

ECO

SAR

NAV

NAV

HPV

Proh

exad

ione

8880

5-35

-0Fu

ngic

ide

254

1,13

5C

I EC

OSA

RN

AVN

AVO

PP R

egPr

opox

ycar

bazo

ne14

5026

-81-

9H

erbi

cide

2N

AVN

AVN

AVN

AVO

PP R

egPr

othi

ocon

azol

e17

8928

-70-

6Fu

ngic

ide

2N

AVN

AVN

AVN

AVO

PP R

egSp

inos

ad13

1929

-60-

7In

sect

icid

e2

2,97

0A

F EC

OTO

XN

AVN

AVO

PP R

egSp

irodi

clof

en14

8477

-71-

8In

sect

icid

e2

NAV

NAV

NAV

NAV

OPP

Reg

Sulfc

arba

mid

e62

-56-

6R

oden

ticid

e2

6,51

0A

NV

P EC

OSA

RN

AVN

AVH

PVSu

lfent

razo

ne 4

1228

36-3

5-5

Her

bici

de2

30,2

00A

I EC

OTO

XN

AVN

AVO

PP R

egTe

bufe

nozi

de 4

1124

10-2

3-8

Inse

ctic

ide

21,

500

AF

ECO

TOX

NAV

NAV

CC

L3Th

iacl

oprid

1119

88-4

9-9

Inse

ctic

ide

2N

AVN

AVN

AVN

AVO

PP R

eg

Page 113: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 3. 99Ta

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Thia

met

hoxa

m15

3719

-23-

4Fu

ngic

ide/

inse

ctic

ide

2N

AVN

AVN

AVN

AVSF

IREG

Thia

zopy

r11

7718

-60-

2H

erbi

cide

214

CF

ECO

SAR

NAV

NAV

OPP

Reg

Thio

dica

rb59

669-

26-0

Inse

ctic

ide

29

CI O

PP to

xN

AVN

AVC

CL3

Thio

phan

ate

met

hyl

2356

4-05

-8Fu

ngic

ide

22

CF

OPP

tox

NAV

NAV

CC

L3Th

iram

137-

26-8

Fung

icid

e2

21A

F O

PPN

AVN

AVH

PVTo

pram

ezon

e21

0631

-68-

8H

erbi

cide

2N

AVN

AVN

AVN

AVO

PP R

egTo

xaph

ene

8001

-35-

2In

sect

icid

e/ac

aric

ide

20.

0002

C O

W2

MC

LM

CL,

GLW

QA

, O

W N

RWQ

CTr

alko

xydi

m87

820-

88-0

Her

bici

de2

2,10

0C

I OPP

NAV

NAV

SFIR

EG, O

PP

Reg

Vin

cloz

olin

5047

1-44

-8Fu

ngic

ide

22,

000

AI O

PP to

x20

PHB

SLC

CL3

Zinc

7440

-66-

6H

erbi

cide

212

0C

OW

2,00

0H

BSL

CA

NA

LWQ

G,

GLW

QA

, OW

N

RWQ

CZo

xam

ide

1560

52-6

8-5

Fung

icid

e2

NAV

NAV

NAV

NAV

OPP

Reg

2,5-

Dic

hlor

oani

line

95-8

2-9

Deg

rada

te o

f ch

lora

mbe

n (m

ethy

l est

er)

3N

AVN

AVN

AVN

AV–

3-D

CM

T (3

-dic

hlor

omet

hyl-

5-et

hoxy

-1,2

,4-th

iadi

azol

e)N

AVD

egra

date

of

etrid

iazo

le3

385

AF

OPP

tox

NAV

NAV

Aba

mec

tin71

751-

41-2

Inse

ctic

ide

3N

AVN

AVN

AVN

AV–

Aci

fluor

fen

5059

4-66

-6H

erbi

cide

326

5AV

P O

PP90

HB

SL–

AE

C42

1200

NAV

Deg

rada

te o

f th

idia

zuro

n3

70,0

00A

NV

P O

PP to

xN

AVN

AV–

Page 114: Prioritizing Pesticide Compounds for Analytical Methods

100 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

AE

F132

345

NAV

Deg

rada

te o

f th

idia

zuro

n3

980

AN

VP

OPP

tox

NAV

NAV

AE

F132

347

NAV

Deg

rada

te o

f th

idia

zuro

n3

980

AN

VP

OPP

tox

NAV

NAV

Alu

min

um p

hosp

hide

2085

9-73

-8Fu

mig

ant/

fung

icid

e3

NAV

NAV

NAV

NAV

Am

itraz

3308

9-61

-1In

sect

icid

e3

NAV

NAV

NAV

NAV

–A

mitr

ole

61-8

2-5

Her

bici

de3

NAV

NAV

NAV

NAV

–A

mm

oniu

m su

lfam

ate

7773

-06-

0H

erbi

cide

3N

AVN

AVN

AVN

AV–

Am

oxic

ilin

6133

6-70

-7A

ntib

iotic

3N

AVN

AVN

AVN

AV–

Am

pelo

myc

es q

uisq

ualis

NAV

Mic

robi

al

fung

icid

e3

NAV

NAV

NAV

NAV

Ani

lazi

ne10

1-05

-3Fu

ngic

ide

3N

AVN

AVN

AVN

AV–

Ars

enic

aci

d77

78-3

9-4

Her

bici

de/in

sect

icid

e/

rode

ntic

ide

3N

AVN

AVN

AVN

AV–

AVG

(Am

ino

etho

xy v

inyl

gly

cine

hy

droc

hlor

ide)

4966

9-74

-1Pl

ant g

row

th re

gula

tor

3N

AVN

AVN

AVN

AV–

Avig

lyci

ne55

720-

26-8

Plan

t gro

wth

regu

lato

r3

NAV

NAV

NAV

NAV

–A

zadi

rach

tin11

141-

17-6

Inse

ctic

ide

32,

000

AF

ECO

TOX

NAV

NAV

–A

zinp

hos-

ethy

l26

42-7

1-9

Inse

ctic

ide

30.

55A

F EC

OTO

XN

AVN

AV–

Bac

illus

cer

eus

NAV

Mic

robi

al in

sect

icid

e/

Plan

t gro

wth

regu

lato

r (d

epen

ds o

n st

rain

)

3N

AVN

AVN

AVN

AV–

Bac

illus

pum

ilis

NAV

Mic

robi

al o

ther

3N

AVN

AVN

AVN

AV–

Bac

illus

subt

ilis

NAV

Mic

robi

al F

ungi

cide

3N

AVN

AVN

AVN

AV–

Page 115: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 3. 101Ta

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Bac

illus

thur

ingi

ensi

s68

038-

71-1

Mic

robi

al in

sect

icid

e3

NAV

NAV

NAV

NAV

–B

arba

n10

1-27

-9H

erbi

cide

3N

AVN

AVN

AVN

AV–

Bar

ium

pol

ysul

fide

5086

4-67

-0In

sect

icid

e/fu

ngic

ide

3N

AVN

AVN

AVN

AV–

Ben

dioc

arb

2278

1-23

-3In

sect

icid

e3

NAV

NAV

9H

BSL

–B

ensu

lfuro

n-m

ethy

l83

055-

99-6

Her

bici

de3

46A

NV

P EC

OSA

R1,

000

HB

SL–

Ben

zoic

aci

d65

-85-

0D

egra

date

390

,000

AF

ECO

TOX

NAV

NAV

HPV

Ben

zyla

deni

ne12

14-3

9-7

Plan

t gro

wth

regu

lato

r3

10,2

50A

I EC

OTO

XN

AVN

AV–

Bife

nox

4257

6-02

-3H

erbi

cide

3N

AVN

AVN

AVN

AV–

Bis

pyrib

ac12

5401

-75-

4H

erbi

cide

379

3,88

9C

I EC

OSA

RN

AVN

AV–

Bor

deau

x m

ixtu

reN

AVFu

ngic

ide

3N

AVN

AVN

AVN

AV–

BTS

272

7133

089-

74-6

Deg

rada

te o

f am

itraz

3N

AVN

AVN

AVN

AV–

BTS

279

1960

397-

77-5

Deg

rada

te o

f am

itraz

3N

AVN

AVN

AVN

AV–

Bup

rofe

zin

6932

7-76

-0In

sect

icid

e3

4C

F EC

OSA

RN

AVN

AV–

Bur

khol

deria

cep

acia

NAV

Fung

icid

e3

NAV

NAV

NAV

NAV

–B

utac

hlor

2318

4-66

-9H

erbi

cide

350

AF

ECO

TOX

NAV

NAV

–B

uten

oic

acid

3724

-65-

0Ph

erom

one

3N

AVN

AVN

AVN

AVH

PVB

utyl

ate

420

08-4

1-5

Her

bici

de3

105

AF

OPP

400

HB

SL–

Cac

odyl

ic a

cid

75-6

0-5

Her

bici

de/d

efol

iant

317

,100

AN

VP

OPP

tox

NAV

NAV

Caf

fein

e58

-08-

2St

imul

ant

3; n

ot

eval

uate

d as

a

pest

icid

e

NAV

NAV

NAV

NAV

Page 116: Prioritizing Pesticide Compounds for Analytical Methods

102 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Cal

cium

chl

orid

e10

043-

52-4

Fung

icid

e/he

rbic

ide/

in

sect

icid

e/m

icro

bioc

ide/

m

ollu

scic

ide

3N

AVN

AVN

AVN

AV–

Cal

cium

pol

ysul

fide

1344

-81-

6In

sect

icid

e/fu

ngic

ide

3N

AVN

AVN

AVN

AV–

Cap

tafo

l29

39-8

0-2

Fung

icid

e3

NAV

NAV

NAV

NAV

–C

arbo

xin

5234

-68-

4Fu

ngic

ide

337

0A

NV

P O

PP60

HB

SL–

Chl

oram

ben

met

hyl e

ster

7286

-84-

2H

erbi

cide

3N

AVN

AVN

AVN

AV–

Chl

ordi

mef

orm

6164

-98-

3In

sect

icid

e3

NAV

NAV

NAV

NAV

–C

hlor

etho

xyfo

s54

593-

83-8

Inse

ctic

ide

31.

15A

F EC

OTO

XN

AVN

AV–

Chl

orfe

napy

r12

2453

-73-

0In

sect

icid

e3

NAV

NAV

NAV

NAV

–C

hlor

fevi

nfos

470-

90-6

Inse

ctic

ide/

acar

icid

e3

0.03

5A

I EC

OTO

XN

AVN

AV–

Chl

orm

equa

t70

03-8

9-6

Plan

t gro

wth

regu

lato

r3

NAV

NAV

NAV

NAV

–C

hlor

oben

zila

te51

0-15

-6In

sect

icid

e3

NAV

NAV

NAV

NAV

–C

hlor

oneb

2675

-77-

6Fu

ngic

ide

387

1C

I EC

OSA

RN

AVN

AV–

Chl

orox

uron

1982

-47-

4H

erbi

cide

313

5A

F EC

OTO

XN

AVN

AV–

Chl

orpr

opha

m10

1-21

-3H

erbi

cide

/pla

nt g

row

th

regu

lato

r3

NAV

NAV

NAV

NAV

Chl

orpy

ripho

s-m

ethy

l55

98-1

3-0

Inse

ctic

ide

3N

AVN

AVN

AVN

AV–

Cin

nam

alde

hyde

104-

55-2

Dog

and

cat

repe

llent

/ fu

ngic

ide/

inse

ctic

ide

3N

AVN

AVN

AVN

AV–

Clo

fent

ezin

e74

115-

24-5

Inse

ctic

ide

34,

548

CI E

CO

SAR

NAV

NAV

–C

lom

azon

e81

777-

89-1

Her

bici

de3

2,60

0A

I EC

OTO

XN

AVN

AV–

Col

lect

otric

hum

spor

esN

AVM

ycoh

erbi

cide

3N

AVN

AVN

AVN

AV–

Con

ioth

yriu

m m

inita

nsN

AVM

icro

bial

fung

icid

e3

NAV

NAV

NAV

NAV

Page 117: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 3. 103Ta

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Cop

per s

ulfa

te tr

ibas

icN

AVH

erbi

cide

/alg

aeci

de/

fung

icid

e/w

ater

trea

tmen

t3

NAV

NAV

NAV

NAV

Cou

maf

os56

-72-

4In

sect

icid

e/ac

aric

ide

30.

0337

CF

OPP

tox

NAV

NAV

–C

PPU

(F

orch

lorf

enur

on)

6815

7-60

-8Pl

ant g

row

th re

gula

tor

3N

AVN

AVN

AVN

AV–

Cry

olite

1509

6-52

-3In

sect

icid

e3

5,00

0A

I OPP

tox

NAV

NAV

–C

yana

mid

e42

0-04

-2Pl

ant g

row

th re

gula

tor/

herb

icid

e3

267,

161

CI E

CO

SAR

NAV

NAV

Cyc

loat

e11

34-2

3-2

Her

bici

de3

1,30

0A

I OPP

40H

BSL

–C

ydia

pom

onel

laN

AVIn

sect

gro

wth

regu

lato

r3

NAV

NAV

NAV

NAV

–C

yrom

azin

e66

215-

27-8

Inse

ctic

ide

312

5,00

0A

I EC

OTO

XN

AVN

AV–

Cyt

okin

ins

525-

79-1

Plan

t gro

wth

regu

lato

r3

864.

5A

I EC

OSA

RN

AVN

AV–

Dal

apon

75-9

9-0

Her

bici

de3

NAV

NAV

NAV

NAV

–D

amin

ozid

e15

96-8

4-5

Plan

t gro

wth

regu

lato

r3

NAV

NAV

NAV

NAV

–D

azom

et53

3-74

-4Fu

mig

ant/f

ungi

cide

/ ne

mat

icid

e3

NAV

NAV

NAV

NAV

Dem

eton

8065

-48-

3In

sect

icid

e/ne

mat

icid

e3

NAV

NAV

NAV

NAV

–D

esm

edip

ham

1368

4-56

-5H

erbi

cide

322

0A

NV

P O

PP to

xN

AVN

AV–

Di-a

llate

2303

-16-

4H

erbi

cide

3N

AVN

AVN

AVN

AV–

Dic

hlon

e11

7-80

-6Fu

ngic

ide

3N

AVN

AVN

AVN

AV–

Die

noch

lor

2227

-17-

0In

sect

icid

e3

25A

F EC

OTO

XN

AVN

AV–

Die

that

yl38

727-

55-8

Her

bici

de3

NAV

NAV

NAV

NAV

–D

ifenz

oqua

t49

866-

87-7

Her

bici

de3

1,31

5A

I OPP

tox

NAV

NAV

–D

inoc

ap39

300-

45-3

Fung

icid

e/in

sect

icid

e3

NAV

NAV

NAV

NAV

Page 118: Prioritizing Pesticide Compounds for Analytical Methods

104 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Dip

hena

mid

957-

51-7

Her

bici

de3

NAV

NAV

NAV

NAV

–D

ithio

pyr

9788

6-45

-8H

erbi

cide

320

AN

VP

ECO

TOX

NAV

NAV

–D

NO

C (4

,6-D

initr

o-O

-cre

sol)

534-

52-1

Her

bici

de3

33A

F EC

OTO

XN

AVN

AV–

Dod

ine

2439

-10-

3Fu

ngic

ide

30.

95A

NV

P O

PP to

xN

AVN

AV–

DSM

A (D

isod

ium

met

hyla

rson

ate)

144-

21-8

Her

bici

de3

NAV

NAV

NAV

NAV

–Em

amec

tin15

5569

-91-

8In

sect

icid

e3

0.5

AI E

CO

TOX

NAV

NAV

–EP

N (O

-eth

yl O

-(4-

nitro

phen

yl)

P-ph

enyl

phos

phon

othi

oate

)21

04-6

4-5

Inse

ctic

ide

3N

AVN

AVN

AVN

AV–

Etha

met

sulfu

ron

9778

0-06

-8H

erbi

cide

3N

AVN

AVN

AVN

AV–

Ethe

phon

1667

2-87

-0Pl

ant g

row

th re

gula

tor

32,

500

AVP

OPP

tox

NAV

NAV

Ethi

on56

3-12

-2In

sect

icid

e3

0.01

3C

F U

SGS

4H

BSL

–Et

hion

mon

oxon

1735

6-42

-2D

egra

date

of e

thio

n3

NAV

NAV

NAV

NAV

–Et

hofu

mes

ate

2622

5-79

-6H

erbi

cide

325

0C

I OPP

tox

NAV

NAV

–Et

ridia

zole

2593

-15-

9Fu

ngic

ide

312

0C

F O

PP to

xN

AVN

AV–

Fatty

alc

ohol

s85

566-

12-7

Mic

robi

ocid

e/so

lven

t3

1,64

2C

I EC

OSA

RN

AVN

AV–

Fena

mid

one

1613

26-3

4-7

Fung

icid

e3

NAV

NAV

NAV

NAV

–Fe

narim

ol60

168-

88-9

Fung

icid

e3

450

AF

ECO

TOX

NAV

NAV

–Fe

nbuc

onaz

ole

1143

69-4

3-6

Fung

icid

e3

340

AF

ECO

TOX

NAV

NAV

–Fe

nchl

orof

os29

9-84

-3In

sect

icid

e3

NAV

NAV

NAV

NAV

–Fe

nitro

thio

n12

2-14

-5In

sect

icid

e3

0.08

7C

I OPP

NAV

NAV

–Fe

noxa

prop

6644

1-23

-4H

erbi

cide

315

5A

F EC

OTO

XN

AVN

AV–

Feno

xyca

rb79

127-

80-3

Inse

ctic

ide/

inse

ct g

row

th

regu

lato

r3

NAV

NAV

NAV

NAV

Fenp

yrox

imat

e13

4098

-61-

6In

sect

icid

e3

12C

F EC

OSA

RN

AVN

AV–

Page 119: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 3. 105Ta

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Fens

ulfo

thio

n11

5-90

-2In

sect

icid

e/ne

mat

ocid

e3

NAV

NAV

NAV

NAV

–Fe

nthi

on55

-38-

9In

sect

icid

e3

0.01

3C

I OPP

0.5

HB

SL–

Fent

hion

sulfo

ne37

61-4

2-0

Deg

rada

te o

f fen

thio

n3

NAV

NAV

NAV

NAV

–Fe

nthi

on su

lfone

oxy

gen

anal

ogN

AVD

egra

date

of f

enth

ion

3N

AVN

AVN

AVN

AV–

Fent

hion

sulfo

xide

3761

-41-

9D

egra

date

of f

enth

ion

3N

AVN

AVN

AVN

AV–

Fenu

ron

101-

42-8

Her

bici

de3

NAV

NAV

NAV

NAV

–Fe

nval

erat

e51

630-

58-1

Inse

ctic

ide

30.

025

AI E

CO

TOX

NAV

NAV

–Fe

rbam

1448

4-64

-1Fu

ngic

ide

350

0A

F O

PP to

xN

AVN

AV–

Flon

icam

id15

8062

-67-

0In

sect

icid

e3

NAV

NAV

NAV

NAV

–Fl

uazi

fop

6933

5-91

-7H

erbi

cide

310

,956

CI E

CO

SAR

NAV

NAV

–Fl

uchl

oral

in33

245-

39-5

Her

bici

de3

4.8

AF

ECO

TOX

NAV

NAV

–Fl

ucyt

hrin

ate

7012

4-77

-5In

sect

icid

e3

0.16

AF

ECO

TOX

NAV

NAV

–Fl

udio

xoni

l13

1341

-86-

1Fu

ngic

ide

382

.5A

F EC

OSA

RN

AVN

AV–

Flum

etra

lin62

924-

70-3

Plan

t gro

wth

regu

lato

r 3

8.95

AF

ECO

TOX

NAV

NAV

–Fl

urid

one

5975

6-60

-4H

erbi

cide

3N

AVN

AVN

AVN

AV–

Flut

olan

il66

332-

96-5

Fung

icid

e3

1,25

0A

F EC

OTO

XN

AVN

AV–

Flut

riafo

l76

674-

21-0

Fung

icid

e3

157

CF

ECO

SAR

NAV

NAV

–Fl

uval

inat

e69

409-

94-5

Inse

ctic

ide

3N

AVN

AVN

AVN

AV–

Fluv

alin

ate-

tau

1028

51-0

6-9

Inse

ctic

ide

3N

AVN

AVN

AVN

AV–

Folp

et13

3-07

-3Fu

ngic

ide

3N

AVN

AVN

AVN

AV–

Fom

esaf

en72

178-

02-0

Her

bici

de3

120

AN

VP

OPP

tox

NAV

NAV

–Fo

sam

ine

2595

4-13

-6H

erbi

cide

3N

AVN

AVN

AVN

AV–

Fose

tyl a

lum

inum

3914

8-24

-8Fu

ngic

ide

34,

990

AN

VP

OPP

tox

NAV

NAV

–G

alle

xN

AVB

acte

ricid

e3

NAV

NAV

NAV

NAV

Page 120: Prioritizing Pesticide Compounds for Analytical Methods

106 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

gam

ma-

Am

inob

utyr

ic a

cid

56-1

2-2

Plan

t gro

wth

regu

lato

r/ Fu

ngic

ide

343

1C

I EC

OSA

RN

AVN

AV–

Gar

lic ju

ice

8000

-78-

0In

sect

icid

e3

NAV

NAV

NAV

NAV

–G

ibbe

relli

c ac

id77

-06-

5Pl

ant g

row

th re

gula

tor

371

,500

AI O

PP to

xN

AVN

AV–

Glu

fosi

nate

5127

6-47

-2H

erbi

cide

382

1C

I EC

OSA

RN

AVN

AV–

Har

pin

prot

ein

NAV

Fung

icid

e/ne

mat

icid

e/

plan

t gro

wth

regu

lato

r3

NAV

NAV

NAV

NAV

Hex

ythi

azox

7858

7-05

-0In

sect

icid

e3

0.6

CI O

PP to

xN

AVN

AV–

Hyd

ram

ethy

lnon

6748

5-29

-4In

sect

icid

e3

NAV

NAV

NAV

NAV

–H

ydra

ted

lime

1305

-62-

0Fu

ngic

ide/

mic

robi

ocid

e/

herb

icid

e3

520,

506

CI E

CO

SAR

NAV

NAV

Hyd

roge

n pe

roxi

de77

22-8

4-1

Mic

robi

ocid

e/fu

ngic

ide/

he

rbic

ide/

rode

ntic

ide

331

.5A

F EC

OSA

RN

AVN

AV–

Hyd

roxy

prop

anoi

c ac

id79

-33-

4Pl

ant g

row

th

regu

lato

r3

NAV

NAV

NAV

NAV

Imaz

apic

1040

98-4

8-8

Her

bici

de3

1,70

6C

F EC

OSA

RN

AVN

AV–

Indo

lyl-b

utyr

ic a

cid

133-

32-4

Plan

t gro

wth

re

gula

tor

3N

AVN

AVN

AVN

AV–

Iodo

sulfu

ron

1445

50-3

6-7

Her

bici

de3

NAV

NAV

NAV

NAV

–Is

azof

os42

509-

80-8

Inse

ctic

ide

3N

AVN

AVN

AVN

AV–

Isof

enph

os25

311-

71-1

Inse

ctic

ide

30.

22C

I USG

S6

HB

SL–

Isop

ropa

lin33

820-

53-0

Her

bici

de3

135

AI E

CO

TOX

NAV

NAV

–Is

oxab

en82

558-

50-7

Her

bici

de3

7C

F EC

OSA

RN

AVN

AV–

Kao

lin c

lay

1332

-58-

7In

sect

icid

e/ad

juva

nt/

fung

icid

e/m

icro

bioc

ide

3N

AVN

AVN

AVN

AV–

Page 121: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 3. 107Ta

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Kin

opre

ne42

588-

37-4

Inse

ct g

row

th re

gula

tor

3N

AVN

AVN

AVN

AV–

Lact

ofen

483

513-

60-4

Her

bici

de3

NAV

NAV

NAV

NAV

–Le

ad a

rsen

ate

7784

-40-

9H

erbi

cide

/inse

ctic

ide/

ro

dent

icid

e3

NAV

NAV

NAV

NAV

Lept

ofos

2160

9-90

-5In

sect

icid

e3

1.98

AF

ECO

TOX

NAV

NAV

–L-

Glu

tam

ic a

cid

56-8

6-0

Plan

t gro

wth

regu

lato

r/ fu

ngic

ide

364

8C

I EC

OSA

RN

AVN

AV–

Mal

eic

hydr

azid

e12

3-33

-1Pl

ant g

row

th re

gula

tor

310

2,00

0A

NV

P O

PP to

xN

AVN

AV–

Man

coze

b80

18-0

1-7

Fung

icid

e3

47A

NV

P O

PPN

AVN

AV–

MC

PP-p

(Mec

opro

p-p)

1648

4-77

-8H

erbi

cide

345

,500

AI O

PPN

AVN

AV–

Mef

enox

am70

630-

17-0

Fung

icid

e3

14,0

00A

I OPP

NAV

NAV

–M

efllu

idid

e53

780-

34-0

Her

bici

de/p

lant

gro

wth

re

gula

tor

3N

AVN

AVN

AVN

AV–

Mep

iqua

t chl

orid

e24

307-

26-4

Plan

t gro

wth

regu

lato

r3

12,5

00C

I OPP

tox

NAV

NAV

Mer

phos

150-

50-5

Def

olia

nt/p

lant

gro

wth

re

gula

tor

3N

AVN

AVN

AVN

AVH

PV

Met

alde

hyde

9002

-91-

9In

sect

icid

e3

34,5

00A

F O

PP to

xN

AVN

AV–

Met

am p

otas

sium

137-

41-7

Fum

igan

t/fun

gici

de/

mic

robi

ocid

e/al

gaec

ide/

ne

mat

icid

e

338

,338

AN

VP

ECO

SAR

NAV

NAV

Met

hazo

le20

354-

26-1

Her

bici

de3

NAV

NAV

NAV

NAV

–M

ethi

ocar

b20

32-6

5-7

Inse

ctic

ide

30.

1C

I OPP

40H

BSL

–M

etho

pren

e40

596-

69-8

Inse

ctic

ide

348

CF

OPP

NAV

NAV

–M

etho

pren

e ac

id30

2-79

-4D

egra

date

of m

etho

pren

e3

NAV

NAV

NAV

NAV

Page 122: Prioritizing Pesticide Compounds for Analytical Methods

108 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Met

hyl i

soth

iocy

anat

e55

6-61

-6Fu

mig

ant/i

nsec

ticid

e/

herb

icid

e/ne

mat

icid

e/

brea

kdow

n pr

oduc

t

3N

AVN

AVN

AVN

AV–

Met

iram

9006

-42-

2Fu

ngic

ide

377

AN

VP

OPP

tox

NAV

NAV

–M

evin

phos

7786

-34-

7In

sect

icid

e/ac

aric

ide

3N

AVN

AVN

AVN

AV–

MH

PC (M

ethy

l N-

[3-h

ydro

xyph

enol

] car

bam

ate)

1368

3-89

-1D

egra

date

of

phen

med

ipha

m3

7,00

0A

I OPP

tox

NAV

NAV

Min

ocyc

line

1011

8-90

-8A

ntib

iotic

3N

AVN

AVN

AVN

AV–

Mon

ocro

tofo

s69

23-2

2-4

Inse

ctic

ide/

acar

icid

e3

NAV

NAV

NAV

NAV

Myr

othe

cium

ver

ruca

riaN

AVIn

sect

icid

e/ne

mat

icid

e3

NAV

NAV

NAV

NAV

–N

AD

(Nic

otin

amid

e ad

enin

e

dinu

cleo

tide)

53-8

4-9

Oth

er3

NAV

NAV

NAV

NAV

Nap

hthy

lace

tam

ide

86-8

6-2

Plan

t gro

wth

regu

lato

r3

234

CF

ECO

SAR

NAV

NAV

–N

apht

hyla

cetic

aci

d86

-87-

3Pl

ant g

row

th re

gula

tor

314

,000

AF

ECO

TOX

NAV

NAV

Nap

tala

m13

2-66

-1H

erbi

cide

359

,250

AI O

PP to

xN

AVN

AV–

Neb

uron

555-

37-3

Her

bici

de3

NAV

NAV

NAV

NAV

–N

eem

oil

8002

-65-

1In

sect

icid

e3

203

AF

ECO

SAR

NAV

NAV

–N

orur

on18

530-

56-8

Her

bici

de3

NAV

NAV

NAV

NAV

–N

osem

a lo

cust

ae c

ann

NAV

Inse

ctic

ide

3N

AVN

AVN

AVN

AV–

Oil

NAV

Inse

ctic

ide

3N

AVN

AVN

AVN

AV–

Oxa

diaz

on19

666-

30-9

Her

bici

de3

7.8

AN

VP

ECO

TOX

NAV

NAV

–O

xyte

tracy

clin

e79

-57-

2Fu

ngic

ide

351

,000

AI O

PP to

xN

AVN

AV–

Oxy

thio

quin

ox24

39-0

1-2

Inse

ctic

ide

3N

AVN

AVN

AVN

AV–

Page 123: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 3. 109Ta

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Pacl

obut

razo

l76

738-

62-0

Plan

t gro

wth

regu

lato

r3

11,8

00A

F EC

OTO

XN

AVN

AV–

Para

oxon

-eth

yl31

1-45

-5D

egra

date

of p

arat

hion

3N

AVN

AVN

AVN

AV–

PCN

B (P

enta

chlo

roni

trobe

nzen

e)82

-68-

8Fu

ngic

ide

313

CF

OPP

tox

NAV

NAV

–Pe

bula

te11

14-7

1-2

Her

bici

de3

230

AN

VP

OPP

50H

BSL

–Pe

larg

onic

aci

d11

2-05

-0H

erbi

cide

/fung

icid

e3

NAV

NAV

NAV

NAV

HPV

Peni

cilli

n G

61-3

3-6

Ant

ibio

tic3

NAV

NAV

NAV

NAV

–Pe

rthan

e72

-56-

0In

sect

icid

e3

2.2

AF

ECO

TOX

NAV

NAV

–Pe

trole

um d

istil

late

8002

-05-

9In

sect

icid

e/ad

juva

nt/

solv

ent

362

5A

F EC

OTO

XN

AVN

AVH

PV

Petro

leum

oil

6474

1-89

-5H

erbi

cide

/pla

nt g

row

th

regu

lato

r/ins

ectic

ide/

ad

juva

nt

3N

AVN

AVN

AVN

AVH

PV

Phen

med

ipha

m13

684-

63-4

Her

bici

de3

320

AVP

OPP

tox

NAV

NAV

–Ph

osal

one

2310

-17-

0In

sect

icid

e3

NAV

NAV

NAV

NAV

–Ph

osph

amid

on13

171-

21-6

Inse

ctic

ide

3N

AVN

AVN

AVN

AV–

Phos

phor

ic a

cid

7664

-38-

2Fu

ngic

ide/

herb

icid

e/

mic

robi

ocid

e3

578,

554

CI E

CO

SAR

NAV

NAV

Phyt

opht

hora

spor

esN

AVH

erbi

cide

3N

AVN

AVN

AVN

AV–

Pino

lene

6824

0-09

-5In

sect

icid

e3

NAV

NAV

NAV

NAV

–Po

lych

lorin

ated

nap

htha

lene

NAV

ND

3N

AVN

AVN

AVN

AV–

Poly

hedr

osis

viru

sN

AVIn

sect

icid

e3

NAV

NAV

NAV

NAV

–Po

tass

ium

bic

arbo

nate

298-

14-6

Fung

icid

e3

121,

000,

000

AN

VP

ECO

SAR

NAV

NAV

–Po

tass

ium

car

bona

te58

4-08

-7Fu

ngic

ide/

mic

robi

ocid

e/

herb

icid

e/pH

adj

ustm

ent

3N

AVN

AVN

AVN

AV–

Page 124: Prioritizing Pesticide Compounds for Analytical Methods

110 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Prim

isul

furo

n86

209-

51-0

Her

bici

de3

105,

000

AF

ECO

TOX

2,00

0H

BSL

–Pr

odia

min

e29

091-

21-2

Her

bici

de3

1,59

0A

F EC

OTO

XN

AVN

AV–

Profl

ural

in26

399-

36-0

Her

bici

de3

NAV

NAV

NAV

NAV

–Pr

opac

hlor

1918

-16-

7H

erbi

cide

313

.5A

NV

P O

PP1

HB

SL–

Prop

achl

or E

SAN

AVD

egra

date

of p

ropa

chlo

r3

NAV

NAV

NAV

NAV

Prop

achl

or O

AN

AVD

egra

date

of p

ropa

chlo

r3

NAV

NAV

NAV

NAV

Prop

amoc

arb

2457

9-73

-5Fu

ngic

ide

36,

300

CF

OPP

tox

NAV

NAV

–Pr

opet

amph

os31

218-

83-4

Inse

ctic

ide

31.

65A

I OPP

4H

BSL

–Pr

opha

m12

2-42

-9H

erbi

cide

34,

050

AI E

CO

TOX

100

HB

SL–

Pseu

dom

onas

fluo

resc

ens

NAV

Mic

robi

al fu

ngic

ide

3N

AVN

AVN

AVN

AV–

Pyra

flufe

n et

hyl

1296

30-1

9-9

Her

bici

de3

NAV

NAV

NAV

NAV

–Py

razo

n16

98-6

0-8

Her

bici

de3

170

AN

VP

OPP

tox

NAV

NAV

–Py

razo

n B

-1 m

etab

olite

NAV

Deg

rada

te o

f pyr

azon

350

,000

AI O

PP to

xN

AVN

AV–

Pyrid

ate

5551

2-33

-9H

erbi

cide

3N

AVN

AVN

AVN

AV–

Pyrim

etha

nil

5311

2-28

-0Fu

ngic

ide

31,

298

CI E

CO

SAR

NAV

NAV

–Py

ripro

xyfe

n 4

9573

7-68

-1In

sect

icid

e3

200

AI E

CO

TOX

NAV

NAV

–Py

rithi

obac

1233

42-9

3-8

Her

bici

de3

23,2

99C

I-SW

EC

OSA

RN

AVN

AV–

Qui

nclo

rac

8408

7-01

-4H

erbi

cide

314

,900

AI E

CO

TOX

NAV

NAV

–Q

uino

xyfe

n12

4495

-18-

7Fu

ngic

ide

318

CF

ECO

SAR

NAV

NAV

–Q

uiza

lofo

p76

578-

12-6

Her

bici

de3

11,6

77C

I EC

OSA

RN

AVN

AV–

Res

met

hrin

1045

3-86

-8In

sect

icid

e3

0.14

AF

OPP

NAV

NAV

–R

imsu

lfuro

n12

2931

-48-

0H

erbi

cide

350

0,00

0A

I EC

OTO

XN

AVN

AV–

Rot

enon

e83

-79-

4In

sect

icid

e3

0.97

AF

OPP

NAV

NAV

Page 125: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 3. 111Ta

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Ryan

odin

e15

662-

33-6

Inse

ctic

ide

3N

AVN

AVN

AVN

AV–

Saba

dilla

8051

-02-

3In

sect

icid

e3

39C

I EC

OSA

RN

AVN

AV–

Seth

oxyd

im74

051-

80-2

Her

bici

de3

250

AN

VP

OPP

tox

NAV

NAV

–Si

licat

esN

AVIn

sect

icid

e3

NAV

NAV

NAV

NAV

–Si

met

ryn

1014

-70-

6H

erbi

cide

3N

AVN

AVN

AVN

AV–

Sodi

um a

rsen

ite77

84-4

6-5

Her

bici

de/in

sect

icid

e/

rode

ntic

ide/

fung

icid

e3

NAV

NAV

NAV

NAV

Sodi

um c

hlor

ate

7775

-09-

9D

efol

iant

/her

bici

de/

mic

robi

ocid

e3

43,0

00AV

P O

PP to

xN

AVN

AV–

Sodi

um m

etab

orat

e77

75-1

9-1

Inse

ctic

ide

3N

AVN

AVN

AVN

AV–

Spin

etor

amN

AVIn

sect

icid

e3

NAV

NAV

NAV

NAV

–Sp

irom

esife

n28

3594

-90-

1In

sect

icid

e3

NAV

NAV

NAV

NAV

–St

eine

rnem

a ca

rpoc

apN

AVIn

sect

icid

e3

NAV

NAV

NAV

NAV

–St

eine

rnem

a rio

brav

iN

AVB

ioco

ntro

l3

NAV

NAV

NAV

NAV

–St

irofo

s96

1-11

-5In

sect

icid

e3

NAV

NAV

NAV

NAV

–St

rept

omyc

in57

-92-

1Fu

ngic

ide

386

0A

NV

P O

PP to

xN

AVN

AV–

Sulfa

llate

95-0

6-7

Her

bici

de3

NAV

NAV

NAV

NAV

–Su

lfosa

te81

591-

81-3

Her

bici

de3

NAV

NAV

NAV

NAV

–Su

lfote

pp36

89-2

4-5

Inse

ctic

ide

3N

AVN

AV4

HB

SL–

Sulfu

r63

705-

05-5

Fung

icid

e3

90,0

00A

F O

PP to

xN

AVN

AV–

Sulfu

ric a

cid

7664

-93-

9H

erbi

cide

/des

sica

nt/

fung

icid

e/m

icro

bioc

ide

321

,000

AF

ECO

TOX

NAV

NAV

Sulp

rofo

s35

400-

43-2

Inse

ctic

ide

30.

38A

I EC

OTO

XN

AVN

AV–

Sum

ithrin

2600

2-80

-2In

sect

icid

e3

NAV

NAV

NAV

NAV

Page 126: Prioritizing Pesticide Compounds for Analytical Methods

112 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

TCA

(T

richl

oroa

cetic

aci

d)76

-03-

9H

erbi

cide

/bre

akdo

wn

prod

uct

3N

AVN

AVN

AVN

AV–

TCM

TB (2

-[Th

iocy

anom

ethy

lthio

] be

nzot

hiaz

ole)

2156

4-17

-0M

icro

bioc

ide/

fung

icid

e3

3.65

AF

ECO

TOX

NAV

NAV

Tem

epho

s33

83-9

6-8

Inse

ctic

ide

35

AI O

PPN

AVN

AV–

Terb

utry

n88

6-50

-0H

erbi

cide

341

0A

F EC

OTO

X0.

7H

BSL

–Te

trabo

rohy

drat

eN

AVFu

ngic

ide/

inse

ctic

ide

3N

AVN

AVN

AVN

AV–

Tetra

oxos

ulfa

te14

808-

79-8

–3

NAV

NAV

NAV

NAV

–Te

trath

ioca

rbon

ate

7345

-69-

9Fu

mig

ant/f

ungi

cide

/ ne

mat

icid

e3

590,

000,

000

AN

VP

ECO

SAR

NAV

NAV

Thia

bend

azol

e14

8-79

-8Fu

ngic

ide

3N

AVN

AVN

AVN

AV–

Thid

iazu

ron

5170

7-55

-2D

efol

iant

/pla

nt g

row

th

regu

lato

r3

100

CI O

PP to

xN

AVN

AV–

Thife

nsul

furo

n79

277-

67-1

Her

bici

de3

418

AN

VP

ECO

SAR

NAV

NAV

–Th

iona

zin

297-

97-2

Nem

atoc

ide

3N

AVN

AVN

AVN

AV–

Toku

thio

n34

643-

46-4

Inse

ctic

ide

36,

500

AF

ECO

TOX

NAV

NAV

–Tr

alom

ethr

in66

841-

25-6

Inse

ctic

ide

3N

AVN

AVN

AVN

AV–

Tria

dim

efon

4312

1-43

-3Fu

ngic

ide

341

CF

OPP

tox

NAV

NAV

–Tr

iadi

men

ol55

219-

65-3

Fung

icid

e3

89C

F EC

OSA

RN

AVN

AV–

Tria

sulfu

ron

8209

7-50

-5H

erbi

cide

350

,000

AF

OPP

70H

BSL

–Tr

iaza

mat

e11

2143

-82-

5In

sect

icid

e3

NAV

NAV

NAV

NAV

–Tr

ichl

orfo

n52

-68-

6In

sect

icid

e3

NAV

NAV

NAV

NAV

–Tr

ichl

oron

at32

7-98

-0In

sect

icid

e3

0.05

AI E

CO

TOX

NAV

NAV

–Tr

idip

hane

5813

8-08

-2H

erbi

cide

3N

AVN

AVN

AVN

AV–

Page 127: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 3. 113Ta

ble

3–1.

Aq

uatic

-life

and

hum

an-h

ealth

ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r wat

er.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Acu

te fi

sh a

nd

inve

rtebr

ate

toxi

city

val

ues w

ere

mul

tiplie

d by

a le

vel o

f con

cern

(LO

C) o

f 0.5

to b

e co

mpa

rabl

e in

val

ue to

Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

ks. A

bbre

viat

ions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

OW

, chr

onic

OW

NRW

QC

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CA

NA

LWQ

G, C

anad

ian

Wat

er Q

ualit

y G

uide

lines

for A

quat

ic

Life

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); C

CL3

, Thi

rd C

onta

min

ant C

andi

date

Lis

t (U

SEPA

, 200

9c);

CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

CM

AC

, Max

imum

Allo

wab

le C

on-

cent

ratio

n (H

ealth

Can

ada,

200

8); E

CO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(USE

PA, 2

009a

); EC

OTO

X, t

oxic

ity v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

SEPA

, 201

0a);

GLW

QA

, Gre

at L

akes

Wat

er Q

ualit

y A

gree

men

t aqu

atic

-life

wat

er-q

ualit

y ob

ject

ive

(USE

PA, 1

978)

; HB

SL, H

ealth

-Bas

ed S

cree

ning

Lev

el (T

occa

lino

and

othe

rs, 2

008)

; HPV

, hi

gh p

rodu

ctio

n-vo

lum

e ch

emic

al (U

SEPA

, 200

5); M

CL,

Max

imum

Con

tam

inan

t Lev

el (U

SEPA

, 200

9d);

NAV

, not

ava

ilabl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(USE

PA, 2

009e

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

SEPA

, 200

9f);

OPP

Reg

, rec

ent (

1997

–200

8) a

ctiv

e in

gred

ient

regi

stra

tion

with

USE

PA (U

SEPA

, 200

9b);

OPP

tox,

toxi

city

val

ue fr

om O

PP re

regi

stra

-tio

n de

cisi

on d

ocum

ents

(USE

PA, 2

010b

); O

W N

RWQ

C, O

ffice

of W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he p

rote

ctio

n of

aqu

atic

life

(USE

PA, 2

002)

; PH

BSL

, Pro

visi

onal

Hea

lth-B

ased

Sc

reen

ing

Leve

l; SF

IREG

, Sta

te F

IFR

A Is

sues

Res

earc

h an

d Ev

alua

tion

Gro

up li

st o

f pes

ticid

es o

f wat

er-q

ualit

y co

ncer

n (A

ssoc

iatio

n of

Am

eric

an P

estic

ide

Con

trol O

ffici

als,

2005

); U

CM

R, U

nreg

ulat

ed

Con

tam

inan

t Mon

itorin

g R

egul

atio

n (U

SEPA

, 200

6); U

SEPA

, U.S

. Env

ironm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(USE

PA, 2

010b

); µg

/L, m

icro

gram

s per

lite

r; –,

non

e]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pe

stic

ide

ty

pe/u

seTi

er

Sele

cted

aq

uatic

-life

be

nchm

ark

(µg/

L)

Type

/sou

rce

of

aqua

tic-l

ife

benc

hmar

k

Hum

an-h

ealth

be

nchm

ark

(µg/

L)

Type

of

hum

an-h

ealth

be

nchm

ark

Oth

er

agen

cy

prio

ritie

s

Trifl

oxys

ulfu

ron

2903

32-1

0-4

Her

bici

de3

NAV

NAV

NAV

NAV

–Tr

iflum

izol

e99

387-

89-0

Fung

icid

e3

1,03

4A

I EC

OSA

RN

AVN

AV–

Trifl

usul

furo

n12

6535

-15-

7H

erbi

cide

311

CF

ECO

SAR

20H

BSL

–Tr

iforin

e26

644-

46-2

Fung

icid

e3

10,7

00A

F EC

OTO

XN

AVN

AV–

Trim

etha

carb

1240

7-86

-2In

sect

icid

e/m

ollu

scic

ide/

do

g an

d ca

trepe

llent

3N

AVN

AVN

AVN

AV–

Trin

exap

ac95

266-

40-3

Her

bici

de/p

lant

gro

wth

re

gula

tor

3N

AVN

AVN

AVN

AV–

Trith

ion

786-

19-6

Inse

ctic

ide/

acar

icid

e3

0.60

AI E

CO

TOX

NAV

NAV

–U

nico

nazo

le83

657-

17-4

Plan

t gro

wth

regu

lato

r3

3,40

0A

F EC

OTO

XN

AVN

AV–

Vern

olat

e19

29-7

7-7

Her

bici

de3

NAV

NAV

7H

BSL

–Zi

neb

1212

2-67

-7Fu

ngic

ide

3N

AVN

AVN

AVN

AV–

1 Dic

ofol

was

eva

luat

ed u

sing

an

aqua

tic-li

fe (A

L) b

ench

mar

k ba

sed

on a

USE

PA O

PP c

hron

ic fi

sh to

xici

ty v

alue

of 1

µg/

L, re

sulti

ng in

an

AL

benc

hmar

k qu

otie

nt (B

Q) f

or p

redi

cted

con

cent

ratio

ns in

st

ream

s gre

ater

than

0.0

1. N

ewly

rele

ased

OPP

AL

benc

hmar

ks (S

epte

mbe

r 201

0) in

clud

e a

chro

nic

fish

benc

hmar

k of

4.4

µg/

L. T

he re

sulti

ng B

Q u

sing

the

new

ben

chm

ark

is le

ss th

an 0

.01.

Bec

ause

this

is th

e on

ly re

ason

dic

ofol

was

pla

ced

in T

ier 1

, its

prio

rity

wou

ld h

ave

been

low

er (T

ier 3

) if t

he u

pdat

ed b

ench

mar

ks h

ad b

een

avai

labl

e w

hen

the

prio

ritiz

atio

n w

as p

erfo

rmed

.2 E

ndot

hall

was

eva

luat

ed u

sing

an

AL

benc

hmar

k ba

sed

on a

USE

PA O

PP a

cute

non

-vas

cula

r pla

nt to

xici

ty v

alue

of 1

.9 µ

g/L,

resu

lting

in a

n A

L B

Q fo

r pre

dict

ed c

once

ntra

tions

in st

ream

s gre

ater

than

0.

01. N

ewly

rele

ased

OPP

AL

benc

hmar

ks (S

epte

mbe

r 201

0) in

clud

e a

chro

nic

fish

benc

hmar

k of

1,3

00 µ

g/L

for e

ndot

hall

acid

(how

ever

ther

e ar

e lo

wer

ben

chm

ark

valu

es fo

r oth

er fo

rmul

atio

ns o

f end

otha

ll,

incl

udin

g a

chro

nic

inve

rtebr

ate

benc

hmar

k of

2.3

µg/

L fo

r the

DM

A sa

lt). T

he re

sulti

ng B

Q u

sing

the

new

ben

chm

ark

for e

ndot

hall

is le

ss th

an 0

.01.

Bec

ause

this

is th

e on

ly re

ason

end

otha

ll w

as p

lace

d in

Tie

r 1,

its p

riorit

y w

ould

hav

e be

en lo

wer

(Tie

r 2 b

ecau

se it

has

an

MC

L fo

r drin

king

wat

er) i

f the

upd

ated

ben

chm

arks

had

bee

n av

aila

ble

whe

n th

e pr

iorit

izat

ion

was

per

form

ed.

3 Flu

mic

lora

c w

as e

valu

ated

usi

ng a

n A

L be

nchm

ark

base

d on

a c

hron

ic fi

sh to

xici

ty v

alue

of 1

.49

µg/L

, est

imat

ed fr

om E

CO

SAR

, res

ultin

g in

an

AL

BQ

for p

redi

cted

con

cent

ratio

ns in

stre

ams g

reat

er th

an

0.01

. New

ly re

leas

ed O

PP A

L be

nchm

arks

(Sep

tem

ber 2

010)

incl

ude

an a

cute

fish

ben

chm

ark

of 5

50 µ

g/L

for fl

umic

lora

c-pe

ntyl

. The

resu

lting

BQ

usi

ng th

e ne

w b

ench

mar

k is

less

than

0.0

1. B

ecau

se th

is is

th

e on

ly re

ason

flum

iclo

rac

was

pla

ced

in T

ier 1

, its

prio

rity

wou

ld h

ave

been

low

er (T

ier 3

) if t

he u

pdat

ed b

ench

mar

ks h

ad b

een

avai

labl

e w

hen

the

prio

ritiz

atio

n w

as p

erfo

rmed

.4 N

ewly

rele

ased

OPP

AL

benc

hmar

ks (S

epte

mbe

r 201

0) in

clud

e ne

w o

r rev

ised

ben

chm

arks

for 6

com

poun

ds in

Tie

r 2 (o

rthos

ulfa

mur

on, s

ulfe

ntra

zone

and

tebu

feno

zide

) or T

ier 3

(but

ylat

e, la

ctof

en a

nd

pyrip

roxi

fena

n). I

f the

upd

ated

ben

chm

arks

had

bee

n av

aila

ble

whe

n th

e pr

iorit

izat

ion

was

per

form

ed, t

hese

com

poun

ds w

ould

hav

e be

en p

lace

d in

Tie

r 1 o

n th

e ba

sis o

f pre

dict

ed c

once

ntra

tions

in st

ream

s. B

ecau

se o

f thi

s, th

ese

com

poun

ds w

ere

adde

d to

the

list o

f pes

ticid

e co

mpo

unds

USG

S is

eva

luat

ing

for i

nclu

sion

in a

naly

tical

met

hods

.

Page 128: Prioritizing Pesticide Compounds for Analytical Methods

114 Prioritizing Pesticide Compounds for Analytical Methods Development

References Cited, Appendix 3

Association of American Pesticide Control Officials, 2005, State Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) Issues Research and Evaluation Group’s (SFIREG) State List of Pesticides of Water Quality Concern. Available at http://www.epa.gov/compliance/resources/policies/state/grants/fifra/08-10-appendix11.pdf appendix 11 of http://www.epa.gov/compliance/state/grants/fifra.html

Canadian Council of Ministers of the Environment, 2007, Canadian water quality guidelines for the protection of aquatic life: Summary table, Update 7.1: Canadian Coun-cil of Ministers of the Environment, December 2007, 9 p. Available at http://www.ccme.ca/assets/pdf/aql_summary_7.1_en.pdf

Health Canada, 2008, Guidelines for Canadian drinking water quality, summary table, maximum acceptable concentra-tions: Health Canada, Federal-Provincial-Territorial Com-mittee on Drinking Water (CDW), May 2008, 14 p.

Toccalino, P.L., Norman, J.E., Booth, N.L., and Zogorski, J.S., 2008, Health-based screening levels: A tool for evaluating what water-quality data may mean to human health: U.S. Geological Survey, National Water-Quality Assessment Program, updated April 10, 2008, accessed August 2009, at http://water.usgs.gov/nawqa/HBSL/

U.S. Environmental Protection Agency, 1978, Great Lakes Water Quality Agreement, Annex 1–Specific objectives, accessed August, 2009, at http://www.epa.gov/glnpo/glwqa/1978/annex.html

U.S. Environmental Protection Agency, 2002, National recom-mended water quality criteria 2002: U.S. Environmental Protection Agency, Office of Water, EPA-822-R-02-047, November 2002, 36 p. Available at http://water.epa.gov/scitech/swguidance/standards/upload/2008_04_29_criteria_wqctable_nrwqc-2002.pdf

U.S. Environmental Protection Agency, 2005, The HPV volun-tary challenge chemical list: U.S. Environmental Protection Agency, Office of Pollution Prevention and Toxics, updated May 5, 2005, accessed November 10, 2005, at http://www.epa.gov/hpv/pubs/general/hpvcolst.htm

U.S. Environmental Protection Agency, 2006, Unregulated Contaminant Monitoring Rule 2 (UCMR 2): U.S. Envi-ronmental Protection Agency, Office of Water, December 20, 2006, accessed August, 2009, at http://water.epa.gov/lawsregs/rulesregs/sdwa/ucmr/ucmr2/index.cfm

U.S. Environmental Protection Agency, 2009a, EPI Suite™ Version 4.0: U.S. Environmental Protection Agency, Office of Pollution Prevention and Toxics and Syracuse Research Corporation. Available at http://www.epa.gov/oppt/exposure/pubs/episuite.htm

U.S. Environmental Protection Agency, 2009b, Fact Sheets on New Active Ingredients: U.S. Environmental Protection Agency, Office of Pesticide Programs, accessed August, 2009, at http://www.epa.gov/opprd001/factsheets/index.htm

U.S. Environmental Protection Agency, 2009c, Final contami-nant candidate list 3 chemicals: classification of the PCCL to CCL: U.S. Environmental Protection Agency, Office of Water, EPA 815-R-09-008, August 2009, 121 p. Available at http://water.epa.gov/scitech/drinkingwater/dws/ccl/upload/CCL3_PCCLtoCCL_08-31-09_508.pdf

U.S. Environmental Protection Agency, 2009d, National primary drinking water regulations, list of contaminants and their MCLs: U.S. Environmental Protection Agency, May 2009, 6 p. Available at http://water.epa.gov/drink/contaminants/index.cfm and http://water.epa.gov/drink/contaminants/upload/mcl-2.pdf

U.S. Environmental Protection Agency, 2009e, Office of Pesticide Programs’ aquatic-life benchmarks (freshwater): U.S. Environmental Protection Agency, Office of Pesticide Programs, updated April 9, 2009, accessed May 2010, at http://www.epa.gov/oppefed1/ecorisk_ders/aquatic_life_benchmark.htm

U.S. Environmental Protection Agency, 2009f, Pesticide ecotoxicity database, version April 10, 2009: U.S. Environ-mental Protection Agency, Office of Pesticide Programs, last accessed January 22, 2010, at http://www.ipmcenters.org/Ecotox/index.cfm

U.S. Environmental Protection Agency, 2010a, ECOTOXicology Database System, Version 4.0: U.S. Environmental Protection Agency, Office of Research and Development and the National Health and Environmental Effects Research Laboratory’s Mid-Continent Ecology Divi-sion, last accessed May 2010, at http://www.epa.gov/ecotox/

U.S. Environmental Protection Agency, 2010b, Pesticide re-registration status: U.S. Environmental Protection Agency, Office of Pesticide Programs, accessed 2007–2009, at http://www.epa.gov/oppsrrd1/reregistration/status.htm

Page 129: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 115

Appendix 4.

Aquatic-Life Benchmarks or Toxicity Values With Resulting Aquatic-Life Toxicity Bins and Available Sediment Benchmarks Used in the Evaluation of Pesticides for Sediment

Page 130: Prioritizing Pesticide Compounds for Analytical Methods

116 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

1,3-

Dic

arba

moy

l-2,4

,5,6

- te

trach

loro

benz

ene

NAV

Deg

rada

te1

––

–N

AVN

AVN

IA

1-C

arba

moy

l-3-c

yano

-4-

hydr

oxy-

2,5,

6-tri

chlo

robe

nzen

eN

AVD

egra

date

1–

––

NAV

NAV

NIA

2-(4

-tert-

buty

lphe

noxy

)-C

yclo

hexa

nol

1942

-71-

8D

egra

date

1–

––

98C

F EC

OSA

R2

2,6-

Die

thyl

anili

ne57

9-66

-8D

egra

date

1–

––

7,81

2A

I EC

OTO

X2

2-([

2-Et

hyl-6

-met

hylp

heny

l] am

ino)

-1-p

ropa

nol

6152

0-53

-4D

egra

date

1–

––

NAV

NAV

NIA

2-C

hlor

o-2,

6-di

ethy

lace

tani

lide

6967

-29-

9D

egra

date

1–

––

NAV

NAV

NIA

2-ch

loro

-N-(

2-et

hyl-6

-met

hylp

heny

l)ac

etam

ide

(Ace

toch

lor/M

etol

achl

or,

seco

ndar

y am

ide)

3242

8-71

-0D

egra

date

1–

––

NAV

NAV

NIA

2-H

ydro

xyat

razi

ne21

63-6

8-0

Deg

rada

te1

––

–1,

500

AF

OPP

23,

4-D

ichl

oroa

nilin

e95

-76-

1D

egra

date

1–

––

1.7

AI E

CO

TOX

13,

5-D

ichl

oroa

nilin

e62

6-43

-7D

egra

date

1–

––

18C

I EC

OSA

R2

3-Ph

enox

yben

zoic

aci

d37

39-3

8-6

Deg

rada

te1

––

–6,

650

AF

OPP

tox

23-

Phen

oxyb

enzy

l alc

ohol

1382

6-35

-2D

egra

date

1–

––

587

AI E

CO

SAR

24-

(Hyd

roxy

met

hyl)p

endi

met

halin

5675

0-76

-6D

egra

date

1–

––

NAV

NAV

NIA

4,4′

-Dic

hlor

oben

zoph

enon

e90

-98-

2D

egra

date

1–

––

171

CF

ECO

SAR

2

Tabl

e 4–

1.

Aqua

tic-li

fe b

ench

mar

ks o

r tox

icity

val

ues

with

resu

lting

Aqu

atic

-Life

Tox

icity

Bin

s an

d av

aila

ble

sedi

men

t ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r se

dim

ent.

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t sc

reen

ing

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue.

Abb

revi

atio

ns: A

F, a

cute

fish

; AI,

acut

e in

verte

brat

e; A

NV

P, a

cute

non

-vas

cula

r pla

nt; A

VP,

acu

te v

ascu

lar p

lant

; CA

S, C

hem

ical

Abs

tract

s Ser

vice

; CF,

chr

onic

fish

; CI,

chro

nic

inve

rtebr

ate;

C O

W, c

hron

ic

Offi

ce o

f Wat

er N

atio

nal R

ecom

men

ded

Wat

er Q

ualit

y C

riter

ia fo

r the

Pro

tect

ion

of A

quat

ic L

ife (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

002)

; DF

>10

%, b

ench

mar

k co

mpa

rison

not

app

licab

le b

ecau

se

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, to

xici

ty v

alue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, in

terim

sedi

men

t-qua

lity

guid

elin

e (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

NAV

, not

ava

ilabl

e; N

IA, n

o in

form

atio

n av

aila

ble;

OPP

, Offi

ce o

f Pes

ticid

e Pr

ogra

ms a

quat

ic-li

fe b

ench

mar

k (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on

docu

men

ts (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQG

, sed

imen

t qua

lity

guid

elin

e; S

QSV

, sed

imen

t-qua

lity

scre

enin

g va

lue

(Lop

es a

nd F

urlo

ng, 2

001)

; SW

, sal

t wat

er; T

EC, t

hres

hold

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; USE

PA, U

.S.

Envi

ronm

enta

l Pro

tect

ion

Age

ncy;

USG

S, U

.S. G

eolo

gica

l Sur

vey

aqua

tic-li

fe b

ench

mar

k de

term

ined

usi

ng O

PP m

etho

ds a

nd to

xici

ty d

ata

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

201

0b);

WQ

G, w

ater

-qua

lity

guid

elin

e (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

07);

>, g

reat

er th

an; μ

g/g

OC

, mic

rogr

am p

er g

ram

org

anic

car

bon;

μg/

kg D

W, m

icro

gram

per

kilo

gram

dry

wei

ght;

μg/L

, mic

rogr

am p

er li

ter;

–, n

one;

%, p

erce

nt]

Page 131: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 117Ta

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

4-H

ydro

xy-2

,5,6

- tri

chlo

rois

opht

halo

nitri

leN

AVD

egra

date

1–

––

NAV

NAV

NIA

Ala

chlo

r15

972-

60-8

Her

bici

de1

––

–1.

64A

NV

P O

PP1

Ala

chlo

r eth

ane

sulfo

nic

acid

(ESA

), se

cond

ary

amid

eN

AVD

egra

date

1–

––

NAV

NAV

NIA

Ala

chlo

r sul

fyni

lace

tic a

cid

(SA

A)

1409

39-1

6-8

Deg

rada

te1

––

–N

AVN

AVN

IAA

ldrin

309-

00-2

Inse

ctic

ide

1–

––

1.5

C O

W1

Alle

thrin

584-

79-2

Inse

ctic

ide

1–

––

1.3

AF

ECO

TOX

1al

pha-

Endo

sulfa

n95

9-98

-8In

sect

icid

e1

0.74

; 0.2

9,μg

/g O

CTi

er 1

; Tie

r 2

(USE

PA E

SG)

NAV

, D

F>10

%–

––

alph

a-H

CH

(a

lpha

-Hex

achl

oroc

yclo

hexa

ne)

319-

84-6

Inse

ctic

ide

mix

-tu

re c

ompo

nent

, by

-pro

duct

, de

grad

ate

1–

––

400

AI E

CO

TOX

2

Am

inom

ethy

lpho

spho

nic

acid

1066

-51-

9D

egra

date

1–

––

249,

500

AF

OPP

3A

trazi

ne19

12-2

4-9

Her

bici

de1

––

–1

AN

VP

OPP

1B

enflu

ralin

1861

-40-

1H

erbi

cide

1–

––

1.9

CF

OPP

1B

enom

yl17

804-

35-2

Fung

icid

e1

––

–2.

8A

F EC

OTO

X1

Ben

sulid

e74

1-58

-2H

erbi

cide

1–

––

290

AI O

PP2

Ben

zyla

deni

ne12

14-3

9-7

Plan

t gro

wth

re

gula

tor

1–

––

10,2

50A

I EC

OTO

X2

Page 132: Prioritizing Pesticide Compounds for Analytical Methods

118 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

beta

-End

osul

fan

3321

3-65

-9In

sect

icid

e1

3.5;

1.4

,μg

/g O

CTi

er 1

; Tie

r 2

(USE

PA E

SG)

No

0.2

CF

OPP

tox

1

beta

-HC

H31

9-85

-7In

sect

icid

e m

ix-

ture

com

pone

nt,

by-p

rodu

ct,

degr

adat

e

1–

––

550

AF

ECO

TOX

2

Bife

nthr

in82

657-

04-3

Inse

ctic

ide

1–

––

0.07

5A

F EC

OTO

X1

Bro

muc

onaz

ole

1162

55-4

8-2

Fung

icid

e1

––

–53

AN

VP

ECO

TOX

1

Bup

rofe

zin

6932

7-76

-0In

sect

icid

e1

––

–4

CF

ECO

SAR

1B

utra

lin33

629-

47-9

Her

bici

de1

––

–3

CF

ECO

SAR

1C

hlor

dane

57-7

4-9

Inse

ctic

ide

18.

87; 3

.24,

µg/k

g D

WPE

L (C

anad

a-

Inte

rim S

QG

);

TEC

(con

sen-

sus-

ba

sed

SQG

, M

acD

onal

d)

NAV

, D

F>10

%–

––

Chl

orot

halo

nil

1897

-45-

6Fu

ngic

ide

1–

––

0.6

CI O

PP1

Chl

orpy

rifos

2921

-88-

2In

sect

icid

e1

––

–0.

04C

I OPP

1

Page 133: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 119Ta

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

cis-

Chl

orda

ne51

03-7

1-9

Inse

ctic

ide

18.

87; 3

.24,

µg/k

g D

WPE

L - c

hlor

dane

(C

anad

a-

Inte

rim S

QG

);

TEC

- chl

orda

ne

(con

sens

us-

base

d SQ

G,

Mac

Don

ald)

NAV

, D

F>10

%–

––

cis-

Met

hyl-3

-(2,

2-di

chlo

rovi

nyl)-

2,

2-di

met

hyl-(

1-cy

clop

ropa

ne)-

carb

oxyl

ate

c618

98-9

5-1

Deg

rada

te1

––

–N

AVN

AVN

IA

cis-

Non

achl

or51

03-7

3-1

Inse

ctic

ide;

co

mpo

nent

of

tota

l chl

orda

ne,

by-p

rodu

ct

of te

chni

cal

chlo

rdan

e

1–

––

––

cis-

Perm

ethr

in61

949-

76-6

Inse

ctic

ide

1–

––

0.00

14C

I OPP

1ci

s-Pr

opic

onaz

ole

c602

07-9

0-1

Fung

icid

e1

––

–93

AN

VP

OPP

(p

ropi

cona

zole

)2

Clo

fent

ezin

e74

115-

24-5

Inse

ctic

ide

1–

––

4,54

8C

I EC

OSA

R2

Page 134: Prioritizing Pesticide Compounds for Analytical Methods

120 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Cop

per h

ydro

xide

2042

7-59

-2Fu

ngic

ide/

m

icro

bioc

ide/

ne

mat

icid

e

1–

––

9

(cop

per)

C O

W3

Cop

per s

ulfa

te77

58-9

8-7

Fung

icid

e/

alga

ecid

e/

mol

lusc

icid

e

1–

––

9

(cop

per)

C O

W1

Cou

maf

os56

-72-

4In

sect

icid

e/

acar

icid

e1

––

–0.

0337

CF

OPP

tox

1

Cyfl

uthr

in68

359-

37-5

Inse

ctic

ide

1–

––

0.01

25A

I EC

OTO

X1

Cyh

alot

hrin

-gam

ma

7670

3-62

-3In

sect

icid

e1

––

–0.

02A

I EC

OTO

X

(lam

bda-

cy

halo

thrin

)

1

Cyh

alot

hrin

-lam

bda

9146

5-08

-6In

sect

icid

e1

––

–0.

02A

I EC

OTO

X1

Cyp

erm

ethr

in52

315-

07-8

Inse

ctic

ide

1–

––

0.06

9C

I OPP

1C

ypro

cona

zole

9436

1-06

-5Fu

ngic

ide

1–

––

9,50

0A

F EC

OTO

X2

Cyp

rodi

nil

1215

52-6

1-2

Fung

icid

e1

––

–16

AI E

CO

TOX

1C

ytok

inin

s52

5-79

-1Pl

ant g

row

th

regu

lato

r1

––

–86

4.5

AI E

CO

SAR

2

Dac

thal

1861

-32-

1H

erbi

cide

1–

––

11,0

00A

NV

P O

PP2

Dac

thal

mon

oaci

d88

7-54

-7D

egra

date

1–

––

6,11

1C

F EC

OSA

R2

Page 135: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 121Ta

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Dec

hlor

oala

chlo

rN

AVD

egra

date

1–

––

NAV

NAV

NIA

Dec

hlor

omet

olac

hlor

NAV

Deg

rada

te1

––

–N

AVN

AVN

IAD

eeth

ylhy

drox

yatra

zine

NAV

Deg

rada

te1

––

–N

AVN

AVN

IAD

eiso

prop

yl p

rom

etry

nN

AVD

egra

date

1–

––

NAV

NAV

NIA

delta

-HC

H31

9-86

-8In

sect

icid

e m

ix-

ture

com

pone

nt,

by-p

rodu

ct,

degr

adat

e

123

0; 1

3,μg

/g O

CTi

er 1

; Tie

r 2

(USE

PA E

SG)

NAV

, D

F>10

%42

0A

F EC

OTO

X2

Des

ulfin

ylfip

roni

l (M

B46

513)

NAV

Deg

rada

te1

––

–N

AVN

AVN

IAD

esul

finyl

fipro

nil a

mid

e (R

PA

1050

48)

NAV

Deg

rada

te1

––

–N

AVN

AVN

IA

Dia

zino

n33

3-41

-5In

sect

icid

e1

0.73

; 0.1

9,μg

/g O

CTi

er 1

; Tie

r 2

(USE

PA E

SG)

No

0.10

5A

I OPP

1

Dic

ofol

115-

32-2

Inse

ctic

ide

1–

––

1C

F O

PP to

x1

Die

ldrin

60-5

7-1

Inse

ctic

ide

16.

67; 1

.90,

µg/k

g D

WPE

L (C

anad

a -

Inte

rim S

QG

);

TEC

(con

sen-

sus-

base

d SQ

G,

Mac

Don

ald)

NAV

, D

F>10

%0.

056

C O

W1

Page 136: Prioritizing Pesticide Compounds for Analytical Methods

122 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Dife

ncon

azol

e11

9446

-68-

3Fu

ngic

ide

1–

––

385

AI E

CO

TOX

2D

ifenz

oqua

t49

866-

87-7

Her

bici

de1

––

–1,

315

AI O

PP to

x2

Diq

uat

85-0

0-7

Her

bici

de1

––

–0.

0036

AVP

OPP

tox

1D

isul

foto

n29

8-04

-4In

sect

icid

e1

––

–0.

01C

I OPP

1D

ithio

pyr

9788

6-45

-8H

erbi

cide

1–

––

20A

NV

P EC

OTO

X1

Diu

ron

330-

54-1

Her

bici

de1

––

–2.

4A

NV

P O

PP1

Emam

ectin

1555

69-9

1-8

Inse

ctic

ide

1–

––

0.5

AI E

CO

TOX

1En

dosu

lfan

115-

29-7

Inse

ctic

ide

11.

4; 0

.54,

μg/g

OC

Tier

1; T

ier 2

(U

SEPA

ESG

)Se

e al

pha-

en

dosu

lfan

(D

F>10

%)

0.07

CI O

PP1

Endo

sulfa

n et

her

3369

-52-

6D

egra

date

1–

––

NAV

NAV

NIA

Endo

sulfa

n su

lfate

1031

-07-

8D

egra

date

1–

––

1.9

AF

OPP

1EP

TC (S

-Eth

yl

dipr

opyl

thio

carb

amat

e)75

9-94

-4H

erbi

cide

1–

––

810

CI O

PP2

Esfe

nval

erat

e66

230-

04-4

Inse

ctic

ide

1–

––

0.01

7C

I OPP

1Et

halfl

ural

in55

283-

68-6

Her

bici

de1

––

–0.

4C

F O

PP1

Fena

rimol

6016

8-88

-9Fu

ngic

ide

1–

––

450

AF

ECO

TOX

2Fe

nbuc

onaz

ole

1143

69-4

3-6

Fung

icid

e1

––

–34

0A

F EC

OTO

X2

Fenb

utat

in o

xide

1335

6-08

-6In

sect

icid

e1

––

–0.

75A

F O

PP to

x1

Fenp

ropa

thrin

3951

5-41

-8In

sect

icid

e1

––

–0.

265

AI E

CO

TOX

1

Page 137: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 123Ta

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Fenp

yrox

imat

e13

4098

-61-

6In

sect

icid

e1

––

–12

CF

ECO

SAR

2Fe

nthi

on55

-38-

9In

sect

icid

e1

––

–0.

013

CI O

PP1

Fent

hion

sulfo

ne o

xyge

n an

alog

NAV

Deg

rada

te1

––

––

––

Fent

in h

ydro

xide

(T

PTH

, Trip

heny

ltin

hydr

oxid

e)76

-87-

9Fu

ngic

ide/

m

ollu

scic

ide/

he

rbic

ide

1–

––

1.85

AF

ECO

TOX

1

Fenv

aler

ate

5163

0-58

-1In

sect

icid

e1

––

–0.

025

AI E

CO

TOX

1Fi

pron

il12

0068

-37-

3In

sect

icid

e1

––

–12

.5A

F EC

OTO

X1

Fipr

onil

sulfi

de12

0067

-83-

6D

egra

date

1–

––

NAV

NAV

NIA

Fipr

onil

sulfo

ne12

0068

-36-

2D

egra

date

1–

––

5,60

0A

I EC

OTO

X2

Flua

zina

m79

622-

59-6

Fung

icid

e1

––

–18

AF

ECO

TOX

1Fl

udio

xoni

l13

1341

-86-

1Fu

ngic

ide

1–

––

82.5

AF

ECO

SAR

2Fl

ufen

acet

1424

59-5

8-3

Her

bici

de1

––

–2,

920

AF

ECO

TOX

2Fl

ufen

acet

ESA

NAV

Deg

rada

te1

––

–N

AVN

AVN

IAFl

ufen

acet

(OA

)N

AVD

egra

date

1–

––

NAV

NAV

NIA

Flum

etra

lin62

924-

70-3

Plan

t gro

wth

re

gula

tor

1–

––

8.95

AF

ECO

TOX

1

Flut

olan

il66

332-

96-5

Fung

icid

e1

––

–1,

250

AF

ECO

TOX

2ga

mm

a-H

CH

58-8

9-9

Inse

ctic

ide

11.

38; 0

.94,

µg/k

g D

WPE

L; IS

QG

(C

anad

a -

Inte

rim S

QG

)

NAV

, D

F>10

%0.

5A

I OPP

1

Page 138: Prioritizing Pesticide Compounds for Analytical Methods

124 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Gly

phos

ate

1071

-83-

6H

erbi

cide

1–

––

1,80

0C

F O

PP2

Hep

tach

lor

76-4

4-8

Inse

ctic

ide

1–

––

0.00

38C

OW

1H

epta

chlo

r epo

xide

1024

-57-

3D

egra

date

12.

74; 0

.6,

µg/k

g D

WPE

L; IS

QG

(C

anad

a -

Inte

rim S

QG

)

NAV

, D

F>10

%–

––

Hex

achl

orob

enze

ne11

8-74

-1In

sect

icid

e1

–; 2

2,

µg/k

g D

WLo

w S

QSV

(L

opes

&

Furlo

ng);

high

va

lue

NAV

No

1.8

CI E

CO

TOX

1

Hyd

roxy

alac

hlor

NAV

Deg

rada

te1

––

–N

AVN

AVN

IAH

ydro

xym

etol

achl

or13

1068

-72-

9D

egra

date

1–

––

NAV

NAV

NIA

Imaz

amox

1143

11-3

2-9

Her

bici

de1

––

–11

AVP

OPP

1Ip

rodi

one

3673

4-19

-7Fu

ngic

ide

1–

––

120

AI O

PP2

Isox

aben

8255

8-50

-7H

erbi

cide

1–

––

7C

F EC

OSA

R1

Kre

soxi

m-m

ethy

l14

3390

-89-

0Fu

ngic

ide

1–

––

6C

F EC

OSA

R1

Met

cona

zole

1251

16-2

3-6

Fung

icid

e1

––

–20

CF

ECO

SAR

2M

etho

xych

lor

72-4

3-5

Inse

ctic

ide

19.

5; 1

.9,

μg/g

OC

Tier

1; T

ier 2

(U

SEPA

ESG

)N

o0.

03C

OW

1

Met

hoxy

feno

zide

1610

50-5

8-4

Inse

ctic

ide

1–

––

0.06

9A

NV

P EC

OSA

R1

Met

olac

hlor

5121

8-45

-2H

erbi

cide

1–

––

1C

I OPP

1M

irex

2385

-85-

5In

sect

icid

e1

––

–0.

001

C O

W1

Page 139: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 125Ta

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Myc

lobu

tani

l88

671-

89-0

Fung

icid

e1

––

–1,

200

AF

ECO

TOX

2N

apht

hyla

ceta

mid

e86

-86-

2Pl

ant g

row

th

regu

lato

r1

––

–23

4C

F EC

OSA

R2

Nap

ropa

mid

e15

299-

99-7

Her

bici

de1

––

–1,

100

CF

OPP

2N

oval

uron

1167

14-4

6-6

Her

bici

de1

––

–0.

993

CF

ECO

SAR

1o,

p′-D

DD

(o

,pʹ-D

ichl

orod

iphe

nyl-

dich

loro

etha

ne)

53-1

9-0

Deg

rada

te1

8.51

; 3.5

4,µg

/kg

DW

PEL;

ISQ

G

(p,p

ʹ-DD

D)

(Can

ada

- In

terim

SQ

G)

NAV

, D

F>10

%–

––

o,p′

-DD

E (o

,pʹ-D

ichl

orod

iphe

nyl-

dich

loro

ethy

lene

)

3424

-82-

6D

egra

date

16.

75; 1

.42,

µg/k

g D

WPE

L; IS

QG

(p

,pʹ-D

DE)

(C

anad

a -

Inte

rim S

QG

)

Yes (

sum

of

o,pʹ

and

p,p

ʹ is

omer

s)

––

o,p′

-DD

T (o

,pʹ-D

ichl

orod

iphe

nyl-

trich

loro

etha

ne)

789-

02-6

Deg

rada

te1

4.77

; 1.1

9,µg

/kg

DW

PEL;

ISQ

G

(p,p

ʹ-DD

T)

(Can

ada

- In

terim

SQ

G)

Yes (

sum

of

o,pʹ

and

p,p

ʹ is

omer

s)

––

Ory

zalin

1904

4-88

-3H

erbi

cide

1–

––

15.4

AVP

OPP

1O

xadi

azon

1966

6-30

-9H

erbi

cide

1–

––

7.8

AN

VP

ECO

TOX

1

Page 140: Prioritizing Pesticide Compounds for Analytical Methods

126 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Oxy

chlo

rdan

e27

304-

13-8

Deg

rada

te; c

om-

pone

nt

of to

tal c

hlor

-da

ne

1–

––

––

Oxy

fluor

fen

4287

4-03

-3H

erbi

cide

1–

––

0.29

AN

VP

OPP

1p,

pʹ-D

DD

(p

,pʹ-D

ichl

orod

iphe

nyl-

dich

loro

etha

ne)

72-5

4-8

Deg

rada

te1

8.51

; 3.5

4,µg

/kg

DW

PEL;

ISQ

G

(Can

ada

- In

terim

SQ

G)

NAV

, D

F>10

%0.

001

C O

W1

p,pʹ

-DD

E (p

,pʹ-D

ichl

orod

iphe

nyl-

dich

loro

ethy

lene

)

72-5

5-9

Deg

rada

te1

6.75

; 1.4

2,µg

/kg

DW

PEL;

ISQ

G

(Can

ada

- In

terim

SQ

G)

NAV

, D

F>10

%0.

001

C O

W1

p,pʹ

-DD

T (p

,pʹ-D

ichl

orod

iphe

nyl-

trich

loro

etha

ne)

50-2

9-3

Inse

ctic

ide/

ac

aric

ide

14.

77; 1

.19,

µg/k

g D

WPE

L; IS

QG

(C

anad

a -

Inte

rim S

QG

)

NAV

, D

F>10

%0.

001

C O

W1

Pacl

obut

razo

l76

738-

62-0

Plan

t gro

wth

re

gula

tor

1–

––

11,8

00A

F EC

OTO

X2

Para

quat

4685

-14-

7H

erbi

cide

1–

––

0.55

AN

VP

OPP

tox

1Pa

rath

ion-

met

hyl

298-

00-0

Inse

ctic

ide

1–

––

0.25

CI O

PP1

PCN

B (P

enta

chlo

roni

trobe

nzen

e)82

-68-

8Fu

ngic

ide

1–

––

13C

F O

PP to

x2

Pebu

late

1114

-71-

2H

erbi

cide

1–

––

230

AN

VP

OPP

2Pe

ndim

etha

lin40

487-

42-1

Her

bici

de1

––

–5.

4A

NV

P O

PP1

Page 141: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 127Ta

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Pent

achl

oroa

niso

le18

25-2

1-4

Deg

rada

te1

––

–13

.6A

I EC

OTO

X1

Perm

ethr

in52

645-

53-1

Inse

ctic

ide

1–

––

0.00

14C

I OPP

1Ph

enm

edip

ham

1368

4-63

-4H

erbi

cide

1–

––

320

AVP

OPP

tox

2Ph

orat

e29

8-02

-2In

sect

icid

e1

––

–0.

21C

I OPP

1Pr

odia

min

e29

091-

21-2

Her

bici

de1

––

–1,

590

AF

ECO

TOX

2Pr

omet

ryn

7287

-19-

6H

erbi

cide

1–

––

1A

NV

P O

PP1

Pron

amid

e23

950-

58-5

Her

bici

de1

––

–60

0C

I OPP

2Pr

opar

gite

2312

-35-

8In

sect

icid

e1

––

–9

CI O

PP1

Prop

icon

azol

e60

207-

90-1

Fung

icid

e1

––

–93

AN

VP

OPP

2Py

met

rozi

ne12

3312

-89-

0In

sect

icid

e1

––

–0.

0407

AN

VP

ECO

SAR

1Py

racl

ostro

bin

1750

13-1

8-0

Fung

icid

e1

––

–3.

1A

F O

PP E

coto

x1

Pyrid

aben

9648

9-71

-3In

sect

icid

e1

––

–0.

265

AI E

CO

TOX

1Q

uinc

lora

c84

087-

01-4

Her

bici

de1

––

–14

,900

AI E

CO

TOX

2Q

uino

xyfe

n12

4495

-18-

7Fu

ngic

ide

1–

––

18C

F EC

OSA

R2

Saba

dilla

8051

-02-

3In

sect

icid

e1

––

–39

CI E

CO

SAR

2S-

Met

olac

hlor

8739

2-12

-9H

erbi

cide

1–

––

8A

NV

P O

PP to

x1

TCPS

A (T

richl

orop

rope

ne

sulfo

nic

acid

)65

600-

62-6

Deg

rada

te1

––

–N

AVN

AVN

IA

Tebu

cona

zole

10

7534

-96-

3Fu

ngic

ide

1–

––

2,00

0A

I EC

OTO

X2

Tebu

feno

zide

1124

10-2

3-8

Inse

ctic

ide

1–

––

1,50

0A

F EC

OTO

X2

Page 142: Prioritizing Pesticide Compounds for Analytical Methods

128 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Tebu

pirim

fos

9618

2-53

-5In

sect

icid

e1

––

–0.

039

AI E

CO

TOX

1Te

bupi

rimfo

s oxy

gen

anal

ogue

NAV

Deg

rada

te1

––

–N

AVN

AVN

IATe

fluth

rin79

538-

32-2

Inse

ctic

ide

1–

––

0.03

AF

ECO

TOX

1Te

fluth

rin m

etab

olite

[R 1

1936

4]N

AVD

egra

date

1–

––

NAV

NAV

NIA

Teflu

thrin

met

abol

ite [R

152

912]

NAV

Deg

rada

te1

––

–N

AVN

AVN

IATe

rbut

hyla

zine

5915

-41-

3H

erbi

cide

1–

––

1,70

0A

F U

SGS

2Te

traco

nazo

le11

2281

-77-

3Fu

ngic

ide

1–

––

22C

F EC

OSA

R2

Tetra

difo

n11

6-29

-0A

caric

ide

1–

––

100

CI E

CO

TOX

2Th

iazo

pyr

1177

18-6

0-2

Her

bici

de1

––

–14

CF

ECO

SAR

2Th

iobe

ncar

b28

249-

77-6

Her

bici

de1

––

–1

CI O

PP1

tran

s-C

hlor

dane

5103

-74-

2In

sect

icid

e1

17.6

; 3.2

4,µg

/kg

DW

PEL

- chl

orda

ne

(Can

ada–

Inte

rim

SQG

); TE

C–

chlo

rdan

e

(con

sens

us-

base

d SQ

G,

Mac

Don

ald)

NAV

, D

F>10

%–

––

tran

s-M

ethy

l-3-(

2,2-

dich

loro

viny

l)-2,

2-di

met

hyl-

(1-c

yclo

prop

ane)

-car

boxy

late

t618

98-9

5-1

Deg

rada

te1

––

–N

AVN

AVN

IA

Page 143: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 129Ta

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

tran

s-N

onac

hlor

3976

5-80

-5In

sect

icid

e;

com

pone

nt o

f to

tal c

hlor

dane

, by

-pro

duct

of

tech

nica

l ch

lord

ane

1–

––

––

tran

s-Pe

rmet

hrin

6194

9-77

-7In

sect

icid

e1

––

–0.

0014

CI O

PP

(per

met

hrin

)1

tran

s-Pr

opic

onaz

ole

t602

07-9

0-1

Fung

icid

e1

––

–93

AN

VP

OPP

(p

ropi

cona

zole

)2

Tria

dim

enol

5521

9-65

-3Fu

ngic

ide

1–

––

89C

F EC

OSA

R2

Tria

llate

2303

-17-

5H

erbi

cide

1–

––

13C

I OPP

2Tr

ibup

hos

78-4

8-8

Def

olia

nt1

––

–1.

56C

I OPP

1Tr

iclo

pyr

5533

5-06

-3H

erbi

cide

1–

––

100

AN

VP

OPP

2Tr

iflur

alin

1582

-09-

8H

erbi

cide

1–

––

1.14

CF

OPP

1U

nico

nazo

le83

657-

17-4

Plan

t gro

wth

re

gula

tor

1–

––

3,40

0A

F EC

OTO

X2

Vin

cloz

olin

5047

1-44

-8Fu

ngic

ide

1–

––

2,00

0A

I OPP

tox

2ze

ta-C

yper

met

hrin

6986

5-47

-0In

sect

icid

e1

––

–0.

069

CI O

PP

(cyp

erm

ethr

in)

1

Page 144: Prioritizing Pesticide Compounds for Analytical Methods

130 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Tota

l DD

T–

Inse

ctic

ide

1 1–

––

––

–2,

4,5-

T (2

,4,5

- Tr

ichl

orop

heno

xyac

etic

aci

d)93

-76-

5H

erbi

cide

2–

––

75A

F EC

OTO

X2

2,4,

6-Tr

ichl

orop

heno

l 88

-06-

2M

icro

bioc

ide

2–

––

135

AI E

CO

TOX

22,

4-D

(2,4

-Dic

hlor

ophe

noxy

ac

etic

aci

d)94

-75-

7H

erbi

cide

2–

––

299.

2AV

P U

SGS

2

2,4-

D m

ethy

l est

er19

28-3

8-7

Her

bici

de2

––

–4

Can

ada

WQ

G A

p-pl

ies t

o

phen

oxy

herb

icid

es;

base

d on

est

er

form

ulat

ions

of

2,4-

D a

cid)

1

2,4-

D p

lus 2

,4-D

met

hyl e

ster

94-7

5-7

&

1928

-38-

7H

erbi

cide

(Sum

of

2,4-

D

& 2

,4-D

m

ethy

l es

ter)

––

–4

Can

ada

WQ

G A

p-pl

ies t

o

phen

oxy

herb

icid

es;

base

d on

est

er

form

ulat

ions

of

2,4-

D a

cid)

1

2,4-

DB

(4-[

2,4-

Dic

hlor

ophe

noxy

]bu

tyric

aci

d)94

-82-

6H

erbi

cide

2–

––

932

AN

VP

OPP

2

Ace

toch

lor

3425

6-82

-1H

erbi

cide

2–

––

1.43

AN

VP

OPP

1A

zinp

hos-

ethy

l26

42-7

1-9

Inse

ctic

ide

2–

––

0.55

AF

ECO

TOX

1

Page 145: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 131Ta

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Bac

illus

subt

ilis

NAV

Mic

robi

al fu

ngi-

cide

2–

––

NAV

NAV

NIA

BTS

272

7133

089-

74-6

Deg

rada

te2

––

––

––

But

achl

or23

184-

66-9

Her

bici

de2

––

–50

AF

ECO

TOX

2C

apta

fol

2939

-80-

2Fu

ngic

ide

2–

––

––

–C

arba

ryl

63-2

5-2

Inse

ctic

ide

2–

––

0.5

CI O

PP1

Car

bofu

ran

1563

-66-

2In

sect

icid

e2

––

–0.

75C

I OPP

1C

hlor

fevi

nfos

470-

90-6

Inse

ctic

ide/

ac

aric

ide

2–

––

0.03

5A

I EC

OTO

X1

Chl

orox

uron

1982

-47-

4H

erbi

cide

2–

––

135

AF

ECO

TOX

2C

PPU

(For

chlo

rfen

uron

)68

157-

60-8

Plan

t gro

wth

re

gula

tor

2–

––

NAV

NAV

NIA

DC

NA

(Dic

hlor

an)

99-3

0-9

Fung

icid

e2

––

–49

CF

OPP

tox

2D

ecan

-1-o

l11

2-30

-1Pl

ant g

row

th

regu

lato

r2

––

–1,

200

AF

ECO

TOX

2

Die

noch

lor

2227

-17-

0In

sect

icid

e2

––

–25

AF

ECO

TOX

1D

inoc

ap39

300-

45-3

Fung

icid

e/

inse

ctic

ide

2–

––

––

Din

oseb

88-8

5-7

Her

bici

de2

––

–14

AF

ECO

TOX

1

Page 146: Prioritizing Pesticide Compounds for Analytical Methods

132 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Endr

in72

-20-

8In

sect

icid

e/

avic

ide

262

.4; 2

.22,

µg/k

g D

WPE

L (C

anad

a-

Inte

rim S

QG

); TE

C (c

onse

nsus

ba

sed

SQG

, M

acD

onal

d)

No

0.08

6C

OW

1

Endr

in a

ldeh

yde

7421

-93-

4D

egra

date

2–

––

––

–En

drin

ket

one

5349

4-70

-5D

egra

date

2–

––

––

–Et

hion

563-

12-2

Inse

ctic

ide

2–

––

0.01

3C

F U

SGS

1Et

hion

mon

oxon

1735

6-42

-2D

egra

date

2–

––

––

–Fe

nchl

orof

os29

9-84

-3In

sect

icid

e2

––

––

––

Fluc

hlor

alin

3324

5-39

-5H

erbi

cide

2–

––

4.8

AF

ECO

TOX

1Fl

ucyt

hrin

ate

7012

4-77

-5In

sect

icid

e2

––

–0.

16A

F EC

OTO

X1

Fluo

xast

robi

n19

3740

-76-

0Fu

ngic

ide

2–

––

NAV

NAV

NIA

Flus

ilazo

le85

509-

19-9

Fung

icid

e2

––

–N

AVN

AVN

IAFl

uval

inat

e69

409-

94-5

Inse

ctic

ide

2–

––

––

–Fl

uval

inat

e-ta

u10

2851

-06-

9In

sect

icid

e2

––

–N

AVN

AVN

IAFo

nofo

s94

4-22

-9In

sect

icid

e2

––

–1

AI E

CO

TOX

1H

exaz

inon

e51

235-

04-2

Her

bici

de2

––

–7

AN

VP

OPP

1Im

azal

il35

554-

44-0

Fung

icid

e2

––

–74

0A

F EC

OTO

X2

Isaz

ofos

4250

9-80

-8In

sect

icid

e2

––

–N

AVN

AVN

IA

Page 147: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 133Ta

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Isof

enph

os25

311-

71-1

Inse

ctic

ide

2–

––

0.22

CI U

SGS

1Is

opro

palin

3382

0-53

-0H

erbi

cide

2–

––

135

AI E

CO

TOX

2K

inop

rene

4258

8-37

-4Pl

ant g

row

th

regu

lato

r2

––

––

––

Lept

ofos

2160

9-90

-5In

sect

icid

e2

––

–1.

98A

F EC

OTO

X1

Linu

ron

330-

55-2

Her

bici

de2

––

–0.

09C

I OPP

1M

ethi

ocar

b20

32-6

5-7

Inse

ctic

ide

2–

––

0.1

CI O

PP1

Met

hopr

ene

4059

6-69

-8In

sect

icid

e2

––

–48

CF

OPP

1M

etho

pren

e ac

id30

2-79

-4D

egra

date

2–

––

––

–M

olin

ate

2212

-67-

1H

erbi

cide

2–

––

105

AF

OPP

2N

apht

hale

ne91

-20-

3Fu

mig

ant

239

1; 3

4.6,

µg/k

g D

WPE

L; IS

QG

(C

anad

a -

Inte

rim S

QG

)

No

––

Neb

uron

555-

37-3

Her

bici

de2

––

–N

AVN

AVN

IAO

xyte

tracy

clin

e79

-57-

2Fu

ngic

ide

2–

––

51,0

00A

I OPP

tox

3Pa

rath

ion

56-3

8-2

Inse

ctic

ide

2–

––

0.00

2C

I USG

S1

Perth

ane

72-5

6-0

Inse

ctic

ide

2–

––

2.2

AF

ECO

TOX

1Ph

osm

et73

2-11

-6In

sect

icid

e2

––

–0.

8C

I OPP

1Pr

oflur

alin

2639

9-36

-0H

erbi

cide

2–

––

––

–Q

uiza

lofo

p76

578-

12-6

Her

bici

de2

––

–11

,677

CI E

CO

SAR

3

Page 148: Prioritizing Pesticide Compounds for Analytical Methods

134 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Res

met

hrin

1045

3-86

-8In

sect

icid

e2

––

–0.

14A

F O

PP1

Ryan

odin

e15

662-

33-6

Inse

ctic

ide

2–

––

––

–Su

lfalla

te95

-06-

7H

erbi

cide

2–

––

––

–Su

lpro

fos

3540

0-43

-2In

sect

icid

e2

––

–0.

38A

I EC

OTO

X1

Terb

utry

n88

6-50

-0H

erbi

cide

2–

––

410

AF

ECO

TOX

2Th

iabe

ndaz

ole

148-

79-8

Fung

icid

e2

––

––

––

Toku

thio

n34

643-

46-4

Inse

ctic

ide

2–

––

6,50

0A

F EC

OTO

X2

Toxa

phen

e80

01-3

5-2

Inse

ctic

ide/

ac

aric

ide

249

0 μg

/g O

C;

0.1

µg/k

g D

W

Tier

1 (U

SEPA

ES

G);

ISQ

G

(Can

ada

- In

terim

SQ

G)

No

––

Tric

hlor

onat

327-

98-0

Inse

ctic

ide

2–

––

0.05

AI E

CO

TOX

1Tr

imet

haca

rb12

407-

86-2

Inse

ctic

ide/

m

ollu

scic

ide/

do

g an

d ca

t re

pelle

nt

2–

––

––

Trip

heny

l pho

spha

te11

5-86

-6–

2–

––

––

–Tr

ithio

n78

6-19

-6In

sect

icid

e/

acar

icid

e2

––

–0.

60A

I EC

OTO

X1

Triti

cona

zole

1319

83-7

2-7

Fung

icid

e2

––

–N

AVN

AVN

IAZo

xam

ide

1560

52-6

8-5

Fung

icid

e2

––

–N

AVN

AVN

IA

Page 149: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 135Ta

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

1,2,

3-Tr

ichl

orop

ropa

ne96

-18-

4Fu

mig

ant

3–

––

––

–1,

2-D

ibro

mo-

3-ch

loro

prop

ane

96-1

2-8

Fum

igan

t3

––

––

––

1,2-

Dib

rom

oeth

ane

106-

93-4

Fum

igan

t3

––

––

––

1,2-

Dic

hlor

opro

pane

78-8

7-5

Fum

igan

t/ ad

juva

nt3

––

––

––

1,3-

Dic

hlor

opro

pene

542-

75-6

Fum

igan

t3

––

–45

AI O

PP1

1,4-

Nap

thaq

uino

ne13

0-15

-4D

egra

date

3–

––

83.5

AF

ECO

SAR

21-

Nap

htho

l90

-15-

3D

egra

date

3–

––

100

CF

USG

S2

2,4,

5-TP

(2-[

2,4,

5-

Tric

hlor

ophe

noxy

]pro

pion

ic a

cid)

93-7

2-1

Her

bici

de3

––

–17

0A

I EC

OTO

X2

2,5-

Dic

hlor

oani

line

95-8

2-9

Deg

rada

te3

––

––

––

2-A

min

o-N

-isop

ropy

lben

zam

ide

3039

1-89

-0D

egra

date

3–

––

30C

I EC

OSA

R2

2-Et

hyl-6

-met

hyla

nilin

e24

549-

06-2

Deg

rada

te3

––

–12

CI E

CO

SAR

23-

(4-c

hlor

ophe

nyl)-

1-m

ethy

l ure

a53

52-8

8-5

Deg

rada

te3

––

––

––

3-(T

rifluo

rom

ethy

l)ani

line

98-1

6-8

Deg

rada

te3

––

–1,

350

AI E

CO

TOX

23-

(Trifl

uoro

met

hyl)p

heny

lure

a13

114-

87-9

Deg

rada

te3

––

–28

4C

F EC

OSA

R2

3,4-

Dic

hlor

omet

hyph

enyl

urea

3567

-62-

2D

egra

date

3–

––

72C

F EC

OSA

R2

3,4-

Dic

hlor

ophe

nylu

rea

2327

-02-

8D

egra

date

3–

––

129

AN

VP

ECO

SAR

23-

DC

MT

(3-d

ichl

orom

ethy

l-5-

etho

xy-1

,2,4

-thia

diaz

ole)

NAV

Deg

rada

te3

––

–38

5A

F O

PP to

x2

Page 150: Prioritizing Pesticide Compounds for Analytical Methods

136 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

3-H

ydro

xyca

rbof

uran

1665

5-82

-6D

egra

date

3–

––

2,25

4C

F EC

OSA

R2

3-K

etoc

arbo

fura

n16

709-

30-1

Deg

rada

te3

––

–1,

272

CF

ECO

SAR

24-

Chl

oro-

2-m

ethy

lphe

nol

1570

-64-

5D

egra

date

3–

––

1,15

0A

F EC

OTO

X2

4-C

hlor

oben

zylm

ethy

l sul

fone

98-5

7-7

Deg

rada

te3

––

–37

,549

CI E

CO

SAR

3A

bam

ectin

7175

1-41

-2In

sect

icid

e3

––

–N

AVN

AVN

IAA

ceph

ate

3056

0-19

-1In

sect

icid

e3

––

–15

0C

I OPP

2A

cequ

inoc

yl57

960-

19-7

Inse

ctic

ide

3–

––

0.71

4C

F EC

OSA

R1

Ace

tam

iprid

1354

10-2

0-7

Inse

ctic

ide

3–

––

104

AF

ECO

SAR

2A

ceto

chlo

r ESA

1870

22-1

1-3

Deg

rada

te3

––

–9,

900

AN

VP

OPP

2A

ceto

chlo

r OA

1849

92-4

4-4

Deg

rada

te3

––

–N

AVN

AVN

IAA

ceto

chlo

r SA

AN

AVD

egra

date

3–

––

NAV

NAV

NIA

Ace

toch

lor/M

etol

achl

or E

SA,

seco

ndar

y am

ide

NAV

Deg

rada

te3

––

–N

AVN

AVN

IA

Aci

benz

olar

1351

58-5

4-2

Fung

icid

e3

––

–5,

206

CF

ECO

SAR

2A

ciflu

orfe

n50

594-

66-6

Her

bici

de3

––

–26

5AV

P O

PP2

AE

C42

1200

(thi

diaz

uron

deg

rada

te)

NAV

Deg

rada

te3

––

–70

,000

AN

VP

OPP

tox

3A

E F1

3234

5 (th

idia

zuro

n de

grad

ate)

NAV

Deg

rada

te3

––

–98

0A

NV

P O

PP to

x2

AE

F132

347

(thid

iazu

ron

degr

adat

e)N

AVD

egra

date

3–

––

980

AN

VP

OPP

tox

2A

lach

lor E

SA14

2363

-53-

9D

egra

date

3–

––

52,0

00A

F O

PP3

Ala

chlo

r OA

1712

62-1

7-2

Deg

rada

te3

––

–47

,500

AF

OPP

2

Page 151: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 137Ta

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Ald

icar

b11

6-06

-3In

sect

icid

e3

––

–0.

46C

F O

PP1

Ald

icar

b su

lfone

1646

-88-

4D

egra

date

3–

––

140

AI O

PP2

Ald

icar

b su

lfoxi

de16

46-8

7-3

Deg

rada

te3

––

–21

.5A

I OPP

1A

lum

inum

pho

sphi

de20

859-

73-8

Fum

igan

t/ fu

ngic

ide

3–

––

––

Am

etry

n83

4-12

-8H

erbi

cide

3–

––

3.67

AN

VP

OPP

1A

min

opyr

alid

1501

14-7

1-9

Her

bici

de3

––

–N

AVN

AVN

IAA

mitr

az33

089-

61-1

Inse

ctic

ide

3–

––

––

–A

mitr

ole

61-8

2-5

Her

bici

de3

––

––

––

Am

mon

ium

sulfa

mat

e77

73-0

6-0

Her

bici

de3

––

––

––

Am

oxic

ilin

6133

6-70

-7A

ntib

iotic

3–

––

––

–A

nila

zine

101-

05-3

Fung

icid

e3

––

––

––

Asu

lam

3337

-71-

1H

erbi

cide

3–

––

140

AVP

OPP

tox

2AV

G (A

min

o et

hoxy

vin

yl g

lyci

ne

hydr

ochl

orid

e)49

669-

74-1

Plan

t gro

wth

re

gula

tor

3–

––

––

Avig

lyci

ne55

720-

26-8

Plan

t gro

wth

re

gula

tor

3–

––

NAV

NAV

NIA

Aza

dira

chtin

1114

1-17

-6In

sect

icid

e3

––

–2,

000

AF

ECO

TOX

2A

zinp

hos-

met

hyl

86-5

0-0

Inse

ctic

ide

3–

––

0.03

6C

I OPP

1A

zinp

hos-

met

hyl-o

xon

961-

22-8

Deg

rada

te3

––

–1,

461

AN

VP

ECO

SAR

2A

zoxy

stro

bin

1318

60-3

3-8

Fung

icid

e3

––

–44

CI O

PP2

Page 152: Prioritizing Pesticide Compounds for Analytical Methods

138 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Bac

illus

thur

ingi

ensi

s68

038-

71-1

Mic

robi

al in

sec-

ticid

e3

––

–N

AVN

AVN

IA

Bar

ban

101-

27-9

Her

bici

de3

––

––

––

Ben

dioc

arb

2278

1-23

-3In

sect

icid

e3

––

––

––

Ben

sulfu

ron-

met

hyl

8305

5-99

-6H

erbi

cide

3–

––

46A

NV

P EC

OSA

R1

Ben

tazo

n25

057-

89-0

Her

bici

de3

––

–4,

500

AN

VP

OPP

2B

enzo

ic a

cid

65-8

5-0

Deg

rada

te3

––

–90

,000

AF

ECO

TOX

3B

ifena

zate

1498

77-4

1-8

Inse

ctic

ide

3–

––

0.05

63A

NV

P EC

OSA

R1

Bife

nox

4257

6-02

-3H

erbi

cide

3–

––

––

–B

ispy

ribac

1254

01-7

5-4

Her

bici

de3

––

–79

3,88

9C

I EC

OSA

R3

Bor

deau

x m

ixtu

reN

AVFu

ngic

ide

3–

––

NAV

NAV

NIA

Bos

calid

1884

25-8

5-6

Fung

icid

e3

––

–11

6C

F O

PP E

coto

x2

Bro

mac

il31

4-40

-9H

erbi

cide

3–

––

6.8

AN

VP

OPP

1B

rom

omet

hane

74-8

3-9

Fum

igan

t/ ad

juva

nt3

––

–10

0C

F O

PP2

Bro

mox

ynil

1689

-84-

5H

erbi

cide

3–

––

2.5

CI U

SGS

1B

TS 2

7919

6039

7-77

-5D

egra

date

3–

––

––

–B

uten

oic

acid

3724

-65-

0Ph

erom

one

3–

––

––

–B

utyl

ate

2008

-41-

5H

erbi

cide

3–

––

105

AF

OPP

2

Page 153: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 139Ta

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Cac

odyl

ic a

cid

75-6

0-5

Her

bici

de/

defo

liant

3–

––

17,1

00A

NV

P O

PP to

x2

Cap

tan

133-

06-2

Fung

icid

e3

––

–13

.1A

F O

PP1

Car

bon

disu

lfide

75-1

5-0

Fum

igan

t/ ad

juva

nt3

––

––

––

Car

boxi

n52

34-6

8-4

Fung

icid

e3

––

–37

0A

NV

P O

PP2

Car

fent

razo

ne12

8639

-02-

1H

erbi

cide

3–

––

0.07

72A

NV

P EC

OSA

R1

Chl

oram

ben

met

hyl e

ster

7286

-84-

2H

erbi

cide

3–

––

NAV

NAV

NIA

Chl

ordi

mef

orm

6164

-98-

3In

sect

icid

e3

––

––

––

Chl

oret

hoxy

fos

5459

3-83

-8In

sect

icid

e3

––

–1.

15A

F EC

OTO

X1

Chl

orfe

napy

r12

2453

-73-

0In

sect

icid

e3

––

––

––

Chl

orim

uron

-eth

yl90

982-

32-4

Her

bici

de3

––

–4,

200

AF

ECO

TOX

2C

hlor

meq

uat

7003

-89-

6Pl

ant g

row

th

regu

lato

r3

––

––

––

Chl

orob

enzi

late

510-

15-6

Inse

ctic

ide

3–

––

––

–C

hlor

oneb

2675

-77-

6Fu

ngic

ide

3–

––

871

CI E

CO

SAR

2C

hlor

opic

rin76

-06-

2Fu

mig

ant/

nem

atoc

ide

3–

––

8.49

AF

OPP

1

Chl

orpr

opha

m10

1-21

-3H

erbi

cide

/ pl

ant g

row

th

regu

lato

r

3–

––

––

Page 154: Prioritizing Pesticide Compounds for Analytical Methods

140 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Chl

orpy

rifos

oxy

gen

anal

og55

98-1

5-2

Deg

rada

te3

––

–27

3C

F EC

OSA

R2

Chl

orpy

ripho

s-m

ethy

l55

98-1

3-0

Inse

ctic

ide

3–

––

––

–C

hlor

sulfu

ron

6490

2-72

-3H

erbi

cide

3–

––

0.35

AVP

OPP

tox

1C

inna

mal

dehy

de10

4-55

-2D

og a

nd c

at

repe

llent

/ fu

ngic

ide/

in

sect

icid

e

3–

––

––

cis-

1,3-

Dic

hlor

opro

pene

1006

1-01

-5Fu

mig

ant

3–

––

45A

I OPP

(1.3

- di

chlo

ropr

open

e)1

Cle

thod

im99

129-

21-2

Her

bici

de3

––

–9,

500

AF

ECO

TOX

2C

lodi

nafo

p11

4420

-56-

3H

erbi

cide

3–

––

1,45

5A

F EC

OSA

R2

Clo

maz

one

8177

7-89

-1H

erbi

cide

3–

––

2,60

0A

I EC

OTO

X2

Clo

pyra

lid17

02-1

7-6

Her

bici

de3

––

–56

,500

AI O

PP3

Clo

rans

ulam

1595

18-9

7-5

Her

bici

de3

––

–N

AVN

AVN

IAC

loth

iani

din

2055

10-5

3-8

Inse

ctic

ide

3–

––

NAV

NAV

NIA

Cop

per o

xych

lorid

e13

32-6

5-6

Fung

icid

e3

––

–9

(c

oppe

r)C

OW

1

Cup

rous

oxi

de13

17-3

9-1

Fung

icid

e/

inse

ctic

ide

3–

––

9

(cop

per)

C O

W1

Cya

nam

ide

420-

04-2

Plan

t gro

wth

re

gula

tor/

herb

icid

e

3–

––

267,

161

CI E

CO

SAR

3

Page 155: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 141Ta

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Cya

nazi

ne21

725-

46-2

Her

bici

de3

––

–1,

000

AI E

CO

TOX

2C

yana

zine

aci

dN

AVD

egra

date

3–

––

NAV

NAV

NIA

Cya

nazi

ne a

mid

eN

AVD

egra

date

3–

––

NAV

NAV

NIA

Cya

zofa

mid

1201

16-8

8-3

Fung

icid

e3

––

–N

AVN

AVN

IAC

ycla

nilid

e11

3136

-77-

9Pl

ant g

row

th

regu

lato

r3

––

–2,

500

AI E

CO

TOX

2

Cyc

loat

e11

34-2

3-2

Her

bici

de3

––

–1,

300

AI O

PP2

Cyh

alof

op12

2008

-78-

0H

erbi

cide

3–

––

93C

F EC

OSA

R2

Cym

oxan

il57

966-

95-7

Fung

icid

e3

––

–14

,000

AI E

CO

TOX

2C

yrom

azin

e66

215-

27-8

Inse

ctic

ide

3–

––

125,

000

AI E

CO

TOX

3D

alap

on75

-99-

0H

erbi

cide

3–

––

––

–D

amin

ozid

e15

96-8

4-5

Plan

t gro

wth

re

gula

tor

3–

––

––

Daz

omet

533-

74-4

Fum

igan

t/ fu

ngic

ide/

ne

mat

icid

e

3–

––

––

Dec

hlor

oace

toch

lor

NAV

Deg

rada

te3

––

–N

AVN

AVN

IAD

echl

orod

imet

hena

mid

NAV

Deg

rada

te3

––

–N

AVN

AVN

IAD

eeth

ylat

razi

ne61

90-6

5-4

Deg

rada

te3

––

–1,

000

AN

VP

OPP

2D

eeth

ylcy

anaz

ine

NAV

Deg

rada

te3

––

–N

AVN

AVN

IA

Page 156: Prioritizing Pesticide Compounds for Analytical Methods

142 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Dee

thyl

cyan

azin

e ac

idN

AVD

egra

date

3–

––

NAV

NAV

NIA

Dee

thyl

cyan

azin

e am

ide

NAV

Deg

rada

te3

––

–N

AVN

AVN

IAD

eiso

prop

ylat

razi

ne10

07-2

8-9

Deg

rada

te3

––

–2,

500

AN

VP

OPP

2D

eiso

prop

ylhy

drox

yatra

zine

7313

-54-

4D

egra

date

3–

––

58C

I EC

OSA

R2

Del

tam

ethr

in52

918-

63-5

Inse

ctic

ide

3–

––

0.01

45A

I EC

OTO

X1

Dem

ethy

l fluo

met

uron

NAV

Deg

rada

te3

––

–N

AVN

AVN

IAD

emet

hyl n

orflu

razo

nN

AVD

egra

date

3–

––

NAV

NAV

NIA

Dem

eton

8065

-48-

3In

sect

icid

e/

nem

atic

ide

3–

––

––

Des

med

ipha

m13

684-

56-5

Her

bici

de3

––

–22

0A

NV

P O

PP to

x2

Di-a

llate

2303

-16-

4H

erbi

cide

3–

––

––

–D

iazi

non

oxyg

en a

nalo

g96

2-58

-3D

egra

date

3–

––

3,02

0C

F EC

OSA

R2

Dic

amba

1918

-00-

9H

erbi

cide

3–

––

61A

NV

P O

PP2

Dic

hlob

enil

1194

-65-

6H

erbi

cide

3–

––

30AV

P O

PP1

Dic

hlon

e11

7-80

-6Fu

ngic

ide

3–

––

––

–D

ichl

orpr

op12

0-36

-5H

erbi

cide

3–

––

2,68

0AV

P O

PP to

x2

Dic

hlor

vos

62-7

3-7

Inse

ctic

ide/

fu

mig

ant/

degr

adat

e

3–

––

––

Dic

lofo

p40

843-

25-2

Her

bici

de3

––

–3,

191

CF

ECO

SAR

2

Page 157: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 143Ta

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Dic

losu

lam

1457

01-2

1-9

Her

bici

de3

––

–N

AVN

AVN

IAD

icro

toph

os14

1-66

-2In

sect

icid

e3

––

–0.

99C

I OPP

1D

idea

lkyl

atra

zine

3397

-62-

4D

egra

date

3–

––

50,0

00A

F O

PP2

Die

that

yl38

727-

55-8

Her

bici

de3

––

––

––

Difl

uben

zuro

n35

367-

38-5

Inse

ctic

ide

3–

––

0.06

CI O

PP to

x1

Difl

ufen

zopy

r10

9293

-97-

2H

erbi

cide

3–

––

0.62

6A

NV

P EC

OSA

R1

Dim

ethe

nam

id87

674-

68-8

Her

bici

de3

––

–1,

300

AF

ECO

TOX

2D

imet

hena

mid

ESA

NAV

Deg

rada

te3

––

–N

AVN

AVN

IAD

imet

hena

mid

OA

NAV

Deg

rada

te3

––

–N

AVN

AVN

IAD

imet

hena

mid

-P16

3515

-14-

8H

erbi

cide

3–

––

8.9

AVP

OPP

1D

imet

hipi

n55

290-

64-7

Plan

t gro

wth

re

gula

tor/

defo

liant

3–

––

1,00

0C

I OPP

tox

2

Dim

etho

ate

60-5

1-5

Inse

ctic

ide

3–

––

0.5

CI O

PP1

Dim

etho

mor

ph11

0488

-70-

5Fu

ngic

ide

3–

––

152

CF

ECO

SAR

2D

inot

efur

an16

5252

-70-

0In

sect

icid

e3

––

–N

AVN

AVN

IAD

iphe

nam

id95

7-51

-7H

erbi

cide

3–

––

––

–D

isul

foto

n su

lfone

2497

-06-

5D

egra

date

3–

––

0.14

CI O

PP1

Dis

ulfo

ton

sulfo

xide

2497

-07-

6D

egra

date

3–

––

1.53

CI O

PP1

DN

OC

(4,6

-Din

itro-

o-cr

esol

)53

4-52

-1H

erbi

cide

3–

––

33A

F EC

OTO

X1

Page 158: Prioritizing Pesticide Compounds for Analytical Methods

144 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Dod

ine

2439

-10-

3Fu

ngic

ide

3–

––

0.95

AN

VP

OPP

tox

1D

SMA

(Dis

odiu

m m

ethy

lars

onat

e)14

4-21

-8H

erbi

cide

3–

––

––

–E-

Dim

etho

mor

phe1

1048

8-70

-5Fu

ngic

ide

3–

––

––

–En

doth

all

145-

73-3

Her

bici

de3

––

–1.

9A

NV

P O

PP to

x1

EPN

(O-E

thyl

O-[

4-ni

troph

enyl

] P-

phen

ylph

osph

onot

hioa

te)

2104

-64-

5In

sect

icid

e3

––

––

––

Etha

met

sulfu

ron

9778

0-06

-8H

erbi

cide

3–

––

––

–Et

heph

on16

672-

87-0

Plan

t gro

wth

re

gula

tor

3–

––

2,50

0AV

P O

PP to

x2

Etho

fum

esat

e26

225-

79-6

Her

bici

de3

––

–25

0C

I OPP

tox

2Et

hopr

op13

194-

48-4

Inse

ctic

ide

3–

––

22A

I OPP

1Et

hyle

neth

iour

ea (E

TU)

96-4

5-7

Deg

rada

te3

––

–2

CI O

PP1

Etof

enpr

ox80

844-

07-1

Inse

ctic

ide

3–

––

5.25

AI E

CO

TOX

1Et

oxaz

ole

1532

33-9

1-1

Inse

ctic

ide

3–

––

1.07

CF

ECO

SAR

1Et

ridia

zole

2593

-15-

9Fu

ngic

ide

3–

––

120

CF

OPP

tox

2Fa

mox

adon

e13

1807

-57-

3Fu

ngic

ide

3–

––

1.47

CF

ECO

SAR

1Fe

nam

idon

e16

1326

-34-

7Fu

ngic

ide

3–

––

NAV

NAV

NIA

Fena

mip

hos

2222

4-92

-6In

sect

icid

e3

––

–0.

12C

I USG

S1

Fena

mip

hos s

ulfo

ne31

972-

44-8

Deg

rada

te3

––

–58

6.5

AF

USG

S2

Fena

mip

hos s

ulfo

xide

3197

2-43

-7D

egra

date

3–

––

3.75

AI U

SGS

1Fe

nhex

amid

1268

33-1

7-8

Fung

icid

e3

––

–N

AVN

AVN

IA

Page 159: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 145Ta

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Feni

troth

ion

122-

14-5

Inse

ctic

ide

3–

––

0.08

7C

I OPP

1Fe

noxa

prop

6644

1-23

-4H

erbi

cide

3–

––

155

AF

ECO

TOX

2Fe

noxy

carb

7912

7-80

-3In

sect

icid

e/

plan

t gro

wth

re

gula

tor

3–

––

––

Fens

ulfo

thio

n11

5-90

-2In

sect

icid

e/

nem

atoc

ide

3–

––

––

Fent

hion

sulfo

ne37

61-4

2-0

Deg

rada

te3

––

––

––

Fent

hion

sulfo

xide

3761

-41-

9D

egra

date

3–

––

––

–Fe

nuro

n10

1-42

-8H

erbi

cide

3–

––

NAV

NAV

NIA

Ferb

am14

484-

64-1

Fung

icid

e3

––

–50

0A

F O

PP to

x2

Flon

icam

id15

8062

-67-

0In

sect

icid

e3

––

–N

AVN

AVN

IAFl

uazi

fop

6933

5-91

-7H

erbi

cide

3–

––

10,9

56C

I EC

OSA

R3

Fluc

arba

zone

1812

74-1

7-9

Her

bici

de3

––

–N

AVN

AVN

IAFl

umet

sula

m98

967-

40-9

Her

bici

de3

––

–12

7,00

0A

I EC

OTO

X3

Flum

iclo

rac

8754

6-18

-7H

erbi

cide

3–

––

1.49

CF

ECO

SAR

1Fl

umio

xazi

n10

3361

-09-

7H

erbi

cide

3–

––

891

CF

ECO

SAR

2Fl

uom

etur

on21

64-1

7-2

Her

bici

de3

––

–30

AN

VP

OPP

1Fl

urid

one

5975

6-60

-4H

erbi

cide

3–

––

––

–Fl

urox

ypyr

6937

7-81

-7H

erbi

cide

3–

––

7,15

0A

F EC

OTO

X2

Flut

hiac

et-m

ethy

l11

7337

-19-

6H

erbi

cide

3–

––

0.07

57A

NV

P EC

OSA

R1

Page 160: Prioritizing Pesticide Compounds for Analytical Methods

146 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Flut

riafo

l76

674-

21-0

Fung

icid

e3

––

–15

7C

F EC

OSA

R2

Folp

et13

3-07

-3Fu

ngic

ide

3–

––

––

–Fo

mes

afen

7217

8-02

-0H

erbi

cide

3–

––

120

AN

VP

OPP

tox

2Fo

nofo

s oxy

gen

anal

og94

4-21

-8D

egra

date

3–

––

––

–Fo

ram

sulfu

ron

1731

59-5

7-4

Her

bici

de3

––

–N

AVN

AVN

IAFo

rmet

anat

e hy

droc

hlor

ide

2342

2-53

-9In

sect

icid

e3

––

–0.

5C

I OPP

tox

1Fo

sam

ine

2595

4-13

-6H

erbi

cide

3–

––

––

–Fo

sety

l alu

min

um39

148-

24-8

Fung

icid

e3

––

–4,

990

AN

VP

OPP

tox

2G

alle

xN

AVB

acte

ricid

e3

––

––

––

gam

ma-

Am

inob

utyr

ic a

cid

56-1

2-2

Plan

t gro

wth

re

gula

tor/

fung

icid

e

3–

––

431

CI E

CO

SAR

2

Gib

bere

llic

acid

77-0

6-5

Plan

t gro

wth

re

gula

tor

3–

––

71,5

00A

I OPP

tox

3

Glu

fosi

nate

5127

6-47

-2H

erbi

cide

3–

––

821

CI E

CO

SAR

2H

alos

ulfu

ron-

met

hyl

1007

84-2

0-1

Her

bici

de3

––

–49

AN

VP

ECO

SAR

1H

exyt

hiaz

ox78

587-

05-0

Inse

ctic

ide

3–

––

0.6

CI O

PP to

x1

Hyd

ram

ethy

lnon

6748

5-29

-4In

sect

icid

e3

––

––

––

Hyd

roxy

acet

ochl

or60

090-

47-3

Deg

rada

te3

––

–N

AVN

AVN

IAH

ydro

xydi

met

hana

mid

NAV

Deg

rada

te3

––

–N

AVN

AVN

IA

Page 161: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 147Ta

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Hyd

roxy

prop

anoi

c ac

id79

-33-

4Pl

ant g

row

th

regu

lato

r3

––

––

––

Hyd

roxy

sim

azin

e25

99-1

1-3

Deg

rada

te3

––

–N

AVN

AVN

IAIm

azam

etha

benz

8140

5-85

-8H

erbi

cide

3–

––

110,

000

AI E

CO

TOX

3Im

azap

ic10

4098

-48-

8H

erbi

cide

3–

––

1,70

6C

F EC

OSA

R2

Imaz

apyr

8133

4-34

-1H

erbi

cide

3–

––

18AV

P O

PP1

Imaz

aqui

n81

335-

37-7

Her

bici

de3

––

–14

0,00

0A

F EC

OTO

X3

Imaz

etha

pyr

8133

5-77

-5H

erbi

cide

3–

––

120,

000

AF

ECO

TOX

3Im

idac

lopr

id13

8261

-41-

3In

sect

icid

e3

––

–1.

05C

I OPP

1In

doly

l-but

yric

aci

d13

3-32

-4Pl

ant g

row

th

regu

lato

r3

––

––

––

Indo

xaca

rb17

3584

-44-

6In

sect

icid

e3

––

–0.

0989

AN

VP

ECO

SAR

1Io

dosu

lfuro

n14

4550

-36-

7H

erbi

cide

3–

––

NAV

NAV

NIA

Isod

rin46

5-73

-6In

sect

icid

e3

––

––

––

Isox

aflut

ole

1411

12-2

9-0

Her

bici

de3

––

–4.

9AV

P O

PP1

Lact

ofen

8351

3-60

-4H

erbi

cide

3–

––

NAV

NAV

NIA

L-G

luta

mic

aci

d56

-86-

0Pl

ant g

row

th

regu

lato

r/ fu

ngic

ide

3–

––

648

CI E

CO

SAR

2

Mal

aoxo

n16

34-7

8-2

Deg

rada

te3

––

–2.

7A

I EC

OTO

X1

Page 162: Prioritizing Pesticide Compounds for Analytical Methods

148 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Mal

athi

on12

1-75

-5In

sect

icid

e3

0.62

; 0.0

67,

μg/g

OC

Tier

1; T

ier 2

(U

SEPA

ESG

)N

o0.

0000

26C

I OPP

1

Mal

eic

hydr

azid

e12

3-33

-1Pl

ant g

row

th

regu

lato

r3

––

–10

2,00

0A

NV

P O

PP to

x3

Man

coze

b80

18-0

1-7

Fung

icid

e3

––

–47

AN

VP

OPP

1M

aneb

1242

7-38

-2Fu

ngic

ide

3–

––

13.4

AN

VP

OPP

1M

BC

(Car

bend

azim

)10

605-

21-7

Deg

rada

te3

––

–2

CF

OPP

tox

1

MC

PA (2

-Met

hyl-4

- ch

loro

phen

oxya

cetic

aci

d)94

-74-

6H

erbi

cide

3–

––

170

AVP

OPP

2

MC

PB (4

-[4-

Chl

oro-

2-

met

hylp

heno

xy]b

utan

oic

acid

)94

-81-

5H

erbi

cide

3–

––

210

AVP

OPP

2

MC

PP-p

(Mec

opro

p-p)

1648

4-77

-8H

erbi

cide

3–

––

45,5

00A

I OPP

2M

efen

oxam

7063

0-17

-0Fu

ngic

ide

3–

––

14,0

00A

I OPP

2M

eflui

dide

5378

0-34

-0H

erbi

cide

/ pl

ant g

row

th

regu

lato

r

3–

––

––

Mep

iqua

t chl

orid

e24

307-

26-4

Plan

t gro

wth

re

gula

tor

3–

––

12,5

00C

I OPP

tox

3

Mer

phos

150-

50-5

Def

olia

nt/

plan

t gro

wth

re

gula

tor

3–

––

––

Mes

osul

furo

n20

8465

-21-

8H

erbi

cide

3–

––

NAV

NAV

NIA

Page 163: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 149Ta

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Mes

otrio

ne10

4206

-82-

8H

erbi

cide

3–

––

NAV

NAV

NIA

Met

alax

yl57

837-

19-1

Fung

icid

e3

––

–1,

200

CI O

PP2

Met

alde

hyde

9002

-91-

9In

sect

icid

e3

––

–34

,500

AF

OPP

tox

2M

etam

pot

assi

um13

7-41

-7Fu

mig

ant/

fung

icid

e/

mic

robi

ocid

e/

alga

ecid

e/

nem

atic

ide

3–

––

38,3

38A

NV

P EC

OSA

R2

Met

am so

dium

137-

42-8

Fum

igan

t/ he

rbic

ide/

fu

ngic

ide/

m

icro

bioc

ide/

al

gaec

ide

3–

––

25.6

AF

OPP

1

Met

ham

idop

hos

1026

5-92

-6In

sect

icid

e3

––

–4.

5C

I OPP

1M

etha

zole

2035

4-26

-1H

erbi

cide

3–

––

––

–M

ethi

dath

ion

950-

37-8

Inse

ctic

ide

3–

––

0.66

CI O

PP1

Met

hom

yl16

752-

77-5

Inse

ctic

ide

3–

––

0.7

CI O

PP1

Met

hom

yl-o

xim

e13

749-

94-5

Deg

rada

te3

––

–15

CI E

CO

SAR

2M

ethy

l iod

ide

74-8

8-4

Fum

igan

t/ ne

mat

icid

e3

––

–14

,453

CI E

CO

SAR

3

Page 164: Prioritizing Pesticide Compounds for Analytical Methods

150 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Met

hyl i

soth

iocy

anat

e55

6-61

-6Fu

mig

ant/

inse

ctic

ide/

he

rbic

ide/

ne

mat

icid

e/

brea

kdow

n

prod

uct

3–

––

––

Met

iram

9006

-42-

2Fu

ngic

ide

3–

––

77A

NV

P O

PP to

x2

Met

olac

hlor

ESA

1711

18-0

9-5

Deg

rada

te3

––

–24

,000

AF

OPP

2M

etol

achl

or O

A15

2019

7-33

- D

egra

date

3–

––

7,70

0A

I OPP

2M

etrib

uzin

2108

7-64

-9H

erbi

cide

3–

––

8.7

AN

VP

OPP

1M

etsu

lfuro

n-m

ethy

l74

223-

64-6

Her

bici

de3

––

–27

5,00

0A

F EC

OTO

X3

Mev

inph

os77

86-3

4-7

Inse

ctic

ide/

ac

aric

ide

3–

––

––

MH

PC (M

ethy

l N-[

3-hy

drox

yphe

nol]

carb

amat

e)13

683-

89-1

Deg

rada

te3

––

–7,

000

AI O

PP to

x2

Mon

ocro

tofo

s69

23-2

2-4

Inse

ctic

ide/

ac

aric

ide

3–

––

––

MSM

A (M

onos

odiu

m m

ethy

lars

enat

e)21

63-8

0-6

Her

bici

de3

––

–2,

800

AN

VP

OPP

tox

2N

AD

(Nic

otin

amid

e ad

enin

e

dinu

cleo

tide)

53-8

4-9

Oth

er3

––

––

––

Nal

ed30

0-76

-5In

sect

icid

e3

––

–0.

045

CI O

PP1

Page 165: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 151Ta

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Nap

hthy

lace

tic a

cid

(NA

A)

86-8

7-3

Plan

t gro

wth

re

gula

tor

3–

––

14,0

00A

F EC

OTO

X2

Nap

tala

m13

2-66

-1H

erbi

cide

3–

––

59,2

50A

I OPP

tox

3N

icos

ulfu

ron

1119

91-0

9-4

Her

bici

de3

––

–46

AN

VP

ECO

SAR

1N

orflu

razo

n27

314-

13-2

Her

bici

de3

––

–9.

7A

NV

P O

PP1

Nor

uron

1853

0-56

-8H

erbi

cide

3–

––

––

–o,

p′-M

etho

xych

lor

3066

7-99

-3In

sect

icid

e3

––

––

––

O-E

thyl

-O-m

ethy

l-S-

prop

ylph

osph

orot

hioa

te76

960-

87-7

Deg

rada

te3

––

–N

AVN

AVN

IA

Orth

osul

fam

uron

2134

64-7

7-8

Her

bici

de3

––

–N

AVN

AVN

IAO

xam

yl23

135-

22-0

Inse

ctic

ide

3–

––

90A

I OPP

2O

xam

yl o

xim

e30

558-

43-1

Deg

rada

te3

––

–35

CI E

CO

SAR

2O

xyde

met

on-m

ethy

l30

1-12

-2In

sect

icid

e3

––

–5

CF

OPP

1O

xyth

ioqu

inox

2439

-01-

2In

sect

icid

e3

––

––

––

Para

oxon

-eth

yl31

1-45

-5D

egra

date

3–

––

––

–Pa

raox

on-m

ethy

l95

0-35

-6D

egra

date

3–

––

1C

I OPP

1Pe

larg

onic

aci

d11

2-05

-0H

erbi

cide

/ fu

ngic

ide

3–

––

––

Peni

cilli

n G

61-3

3-6

Ant

ibio

tic3

––

––

––

Peno

xsul

am21

9714

-96-

2H

erbi

cide

3–

––

NAV

NAV

NIA

Page 166: Prioritizing Pesticide Compounds for Analytical Methods

152 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Phor

ate

oxon

2600

-69-

3D

egra

date

3–

––

5,54

9C

F EC

OSA

R2

Phos

alon

e23

10-1

7-0

Inse

ctic

ide

3–

––

––

–Ph

osm

et o

xon

3735

-33-

9D

egra

date

3–

––

1,50

7A

NV

P EC

OSA

R2

Phos

pham

idon

1317

1-21

-6In

sect

icid

e3

––

––

––

Picl

oram

1918

-02-

1H

erbi

cide

3–

––

550

CF

OPP

2Pi

noxa

den

2439

73-2

0-8

Her

bici

de3

––

–1,

200

AN

VP

OPP

2Pi

pero

nyl b

utox

ide

51-0

3-6

Syne

rgis

t3

––

–30

CI O

PP to

x2

Pirim

icar

b23

103-

98-2

Inse

ctic

ide

3–

––

––

–Po

tass

ium

ole

ate

143-

18-0

Adj

uvan

t3

––

–1.

84E+

20A

NV

P EC

OSA

R3

Prim

isul

furo

n86

209-

51-0

Her

bici

de3

––

–10

5,00

0A

F EC

OTO

X3

Prof

enof

os41

198-

08-7

Inse

ctic

ide

3–

––

0.2

CI O

PP1

Proh

exad

ione

8880

5-35

-0Fu

ngic

ide

3–

––

541,

135

CI E

CO

SAR

3Pr

omet

on16

10-1

8-0

Her

bici

de3

––

–98

AN

VP

OPP

2Pr

opac

hlor

1918

-16-

7H

erbi

cide

3–

––

13.5

AN

VP

OPP

1Pr

opac

hlor

ESA

NAV

Deg

rada

te3

––

––

––

Prop

achl

or O

AN

AVD

egra

date

3–

––

––

–Pr

opam

ocar

b24

579-

73-5

Fung

icid

e3

––

–6,

300

CF

OPP

tox

2Pr

opan

il70

9-98

-8H

erbi

cide

3–

––

9.1

CF

OPP

1Pr

opaz

ine

139-

40-2

Her

bici

de3

––

–5,

500

AI E

CO

TOX

2Pr

opet

amph

os31

218-

83-4

Inse

ctic

ide

3–

––

1.65

AI O

PP1

Page 167: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 153

Tabl

e 4–

1.

Aqua

tic-li

fe b

ench

mar

ks o

r tox

icity

val

ues

with

resu

lting

Aqu

atic

-Life

Tox

icity

Bin

s an

d av

aila

ble

sedi

men

t ben

chm

arks

use

d in

the

eval

uatio

n of

pes

ticid

es fo

r se

dim

ent.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Prop

ham

122-

42-9

Her

bici

de3

––

–4,

050

AI E

CO

TOX

2Pr

opox

ur11

4-26

-1In

sect

icid

e3

––

–5.

5A

I OPP

1Pr

opox

ycar

bazo

ne14

5026

-81-

9H

erbi

cide

3–

––

NAV

NAV

NIA

Pros

ulfu

ron

9412

5-34

-5H

erbi

cide

3–

––

19C

F EC

OSA

R2

Prot

hioc

onaz

ole

1789

28-7

0-6

Fung

icid

e3

––

–N

AVN

AVN

IAPy

raflu

fen

ethy

l12

9630

-19-

9H

erbi

cide

3–

––

NAV

NAV

NIA

Pyra

zon

1698

-60-

8H

erbi

cide

3–

––

170

AN

VP

OPP

tox

2Py

razo

n B-

1 m

etab

olite

NAV

Deg

rada

te3

––

–50

,000

AI O

PP to

x2

Pyre

thrin

s80

03-3

4-7

Inse

ctic

ide

3–

––

0.45

1C

I EC

OSA

R1

Pyrid

ate

5551

2-33

-9H

erbi

cide

3–

––

––

–Py

rimet

hani

l53

112-

28-0

Fung

icid

e3

––

–1,

298

CI E

CO

SAR

2Py

ripro

xyfe

n95

737-

68-1

Inse

ctic

ide

3–

––

200

AI E

CO

TOX

2Py

rithi

obac

1233

42-9

3-8

Her

bici

de3

––

–23

,299

CI-

SW E

CO

SAR

3R

imsu

lfuro

n12

2931

-48-

0H

erbi

cide

3–

––

500,

000

AI E

CO

TOX

3R

oten

one

83-7

9-4

Inse

ctic

ide

3–

––

0.97

AF

OPP

1R

PA 2

0224

814

3701

-75-

1D

egra

date

3–

––

75AV

P O

PP2

RPA

203

328

1429

94-0

6-7

Deg

rada

te3

––

–5,

900

AN

VP

OPP

tox

2Se

thox

ydim

7405

1-80

-2H

erbi

cide

3–

––

250

AN

VP

OPP

tox

2Si

duro

n19

82-4

9-6

Her

bici

de3

––

––

––

Sim

azin

e12

2-34

-9H

erbi

cide

3–

––

36A

NV

P O

PP1

Page 168: Prioritizing Pesticide Compounds for Analytical Methods

154 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Sim

etry

n10

14-7

0-6

Her

bici

de3

––

––

––

Sodi

um c

hlor

ate

7775

-09-

9D

efol

iant

/ he

rbic

ide/

m

icro

bioc

ide

3–

––

43,0

00AV

P O

PP to

x2

Spin

etor

amN

AVIn

sect

icid

e3

––

–N

AVN

AVN

IASp

inos

ad13

1929

-60-

7In

sect

icid

e3

––

–2,

970

AF

ECO

TOX

2Sp

irodi

clof

en14

8477

-71-

8In

sect

icid

e3

––

–N

AVN

AVN

IASp

irom

esife

n28

3594

-90-

1In

sect

icid

e3

––

–N

AVN

AVN

IASt

irofo

s96

1-11

-5In

sect

icid

e3

––

––

––

Stre

ptom

ycin

57-9

2-1

Fung

icid

e3

––

–86

0A

NV

P O

PP to

x2

Sulfc

arba

mid

e62

-56-

6R

oden

ticid

e3

––

–6,

510

AN

VP

ECO

SAR

2Su

lfent

razo

ne12

2836

-35-

5H

erbi

cide

3–

––

30,2

00A

I EC

OTO

X2

Sulfo

met

uron

-met

hyl

7422

2-97

-2H

erbi

cide

3–

––

––

–Su

lfosa

te81

591-

81-3

Her

bici

de3

––

––

––

Sulfo

sulfu

ron

1417

76-3

2-1

Her

bici

de3

––

–1

AVP

OPP

1Su

lfote

pp36

89-2

4-5

Inse

ctic

ide

3–

––

––

–Su

lfur

6370

5-05

-5Fu

ngic

ide

3–

––

90,0

00A

F O

PP to

x3

Sum

ithrin

2600

2-80

-2In

sect

icid

e3

––

––

––

TCM

TB (2

-[Th

iocy

anom

ethy

lthio

]be

nzot

hiaz

ole)

2156

4-17

-0M

icro

bioc

ide/

fu

ngic

ide

3–

––

3.65

AF

ECO

TOX

1

Tebu

thiu

ron

3401

4-18

-1H

erbi

cide

3–

––

50A

NV

P O

PP2

Page 169: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 155Ta

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Tem

epho

s33

83-9

6-8

Inse

ctic

ide

3–

––

5A

I OPP

1Te

rbac

il59

02-5

1-2

Her

bici

de3

––

–11

AN

VP

OPP

1Te

rbuf

os13

071-

79-9

Inse

ctic

ide

3–

––

0.03

CI O

PP1

Terb

ufos

sulfo

ne56

070-

16-7

Deg

rada

te3

––

–0.

655

AI E

CO

SAR

1Te

rbuf

os-O

-ana

logu

e su

lfone

5607

0-15

-6D

egra

date

3–

––

1,16

0C

F EC

OSA

R2

Tetra

chlo

rom

etha

ne56

-23-

5Fu

mig

ant/

adju

vant

32,

100;

120

,μg

/g O

CTi

er 1

; Tie

r 2

(USE

PA E

SG)

No

––

Tetra

met

hrin

7696

-12-

0In

sect

icid

e3

––

–1.

85A

F EC

OTO

X1

Tetra

oxos

ulfa

te14

808-

79-8

–3

––

––

––

Tetra

thio

carb

onat

e73

45-6

9-9

Fum

igan

t/ fu

ngic

ide/

ne

mat

icid

e

3–

––

590,

000,

000

AN

VP

EC

OSA

R3

Thia

clop

rid11

1988

-49-

9In

sect

icid

e3

––

–N

AVN

AVN

IATh

iam

etho

xam

1537

19-2

3-4

Fung

icid

e/

inse

ctic

ide

3–

––

NAV

NAV

NIA

Thid

iazu

ron

5170

7-55

-2D

efol

iant

/ pl

ant g

row

th

regu

lato

r

3–

––

100

CI O

PP to

x2

Thife

nsul

furo

n79

277-

67-1

Her

bici

de3

––

–41

8A

NV

P EC

OSA

R2

Thio

dica

rb59

669-

26-0

Inse

ctic

ide

3–

––

9C

I OPP

tox

1Th

iona

zin

297-

97-2

Nem

atoc

ide

3–

––

––

Page 170: Prioritizing Pesticide Compounds for Analytical Methods

156 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Thio

phan

ate

met

hyl

2356

4-05

-8Fu

ngic

ide

3–

––

2C

F O

PP to

x1

Thira

m13

7-26

-8Fu

ngic

ide

3–

––

21A

F O

PP1

Topr

amez

one

2106

31-6

8-8

Her

bici

de3

––

–N

AVN

AVN

IATr

alko

xydi

m87

820-

88-0

Her

bici

de3

––

–2,

100

CI O

PP2

Tral

omet

hrin

6684

1-25

-6In

sect

icid

e3

––

––

––

Tria

dim

efon

4312

1-43

-3Fu

ngic

ide

3–

––

41C

F O

PP to

x2

Tria

sulfu

ron

8209

7-50

-5H

erbi

cide

3–

––

50,0

00A

F O

PP2

Tria

zam

ate

1121

43-8

2-5

Inse

ctic

ide

3–

––

––

–Tr

iben

uron

-met

hyl

1012

00-4

8-0

Her

bici

de3

––

–11

1C

F EC

OSA

R2

Tric

hlor

fon

52-6

8-6

Inse

ctic

ide

3–

––

––

–Tr

idip

hane

5813

8-08

-2H

erbi

cide

3–

––

––

–Tr

iflox

ystro

bin

1415

17-2

1-7

Fung

icid

e3

––

–2.

76C

I OPP

Eco

tox

1Tr

iflox

ysul

furo

n29

0332

-10-

4H

erbi

cide

3–

––

NAV

NAV

NIA

Trifl

umiz

ole

9938

7-89

-0Fu

ngic

ide

3–

––

1,03

4A

I EC

OSA

R2

Trifl

usul

furo

n12

6535

-15-

7H

erbi

cide

3–

––

11C

F EC

OSA

R2

Trifo

rine

2664

4-46

-2Fu

ngic

ide

3–

––

10,7

00A

F EC

OTO

X2

Trin

exap

ac95

266-

40-3

Her

bici

de/

plan

t gro

wth

re

gula

tor

3–

––

––

Page 171: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 157Ta

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Vern

olat

e19

29-7

7-7

Her

bici

de3

––

––

––

Z-D

imet

hom

orph

z110

488-

70-5

Fung

icid

e3

––

––

––

Zine

b12

122-

67-7

Fung

icid

e3

––

––

––

Zira

m13

7-30

-4Fu

ngic

ide

3–

––

9.7

AF

OPP

1

Not

tier

ed–p

estic

ide-

rela

ted

com

poun

ds in

oth

er c

onta

min

ant g

roup

s or

spe

cies

that

wou

ld n

ot b

e an

alyz

ed in

sed

imen

t

1,1,

1-Tr

ichl

oroe

than

e71

-55-

6A

djuv

ant

–17

0; 1

7,μg

/g O

CTi

er 1

; Tie

r 2

(USE

PA E

SG)

Con

cent

ratio

n da

ta N

AV–

––

1,1,

2-Tr

ichl

oroe

than

e79

-00-

5A

djuv

ant

––

––

––

–1,

1,2-

Tric

hlor

otrifl

uoro

etha

ne76

-13-

1A

djuv

ant

––

––

––

1,2-

Dic

hlor

oben

zene

95-5

0-1

Adj

uvan

t–

340;

50,

µg/k

g D

WH

igh

SQSV

; lo

w S

QSV

(L

opes

&

Furlo

ng)

Con

cent

ratio

n da

ta N

AV–

––

1,2-

Dic

hlor

oeth

ane

107-

06-2

Fum

igan

t/ ad

juva

nt–

––

––

––

Page 172: Prioritizing Pesticide Compounds for Analytical Methods

158 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Not

tier

ed–p

estic

ide-

rela

ted

com

poun

ds in

oth

er c

onta

min

ant g

roup

s or

spe

cies

that

wou

ld n

ot b

e an

alyz

ed in

sed

imen

t –Co

ntin

ued

1,4-

Dic

hlor

oben

zene

106-

46-7

Adj

uvan

t–

350;

110

,µg

/kg

DW

Hig

h SQ

SV; l

ow

SQSV

(Lop

es &

Fu

rlong

)

Con

cent

ratio

n da

ta N

AV–

––

2-C

hlor

otol

uene

95-4

9-8

Adj

uvan

t–

––

––

––

Ace

tone

67-6

4-1

Adj

uvan

t–

––

––

––

Am

pelo

myc

es q

uisq

ualis

NAV

Mic

robi

al fu

ngi-

cide

––

––

––

Ars

enic

aci

d77

78-3

9-4

Her

bici

de/

inse

ctic

ide/

ro

dent

icid

e

––

––

––

Bac

illus

cer

eus

NAV

Mic

robi

al in

sec-

ticid

e/

plan

t gro

wth

re

gula

tor (

de-

pend

s on

stra

in)

––

––

NAV

NAV

NIA

Bac

illus

pum

ilis

NAV

Mic

robi

al

othe

r–

––

–N

AVN

AVN

IA

Bar

ium

pol

ysul

fide

5086

4-67

-0In

sect

icid

e/

fung

icid

e–

––

––

––

Page 173: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 159Ta

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Not

tier

ed–p

estic

ide-

rela

ted

com

poun

ds in

oth

er c

onta

min

ant g

roup

s or

spe

cies

that

wou

ld n

ot b

e an

alyz

ed in

sed

imen

t –Co

ntin

ued

Ben

zene

71-4

3-2

Adj

uvan

t–

100;

5.7

,μg

/g O

CTi

er 1

; Tie

r 2

(USE

PA E

SG)

Con

cent

ratio

n da

ta N

AV–

––

Bur

khol

deria

cep

acia

NAV

Fung

icid

e–

––

––

––

Caf

fein

e58

-08-

2St

imul

ant

––

––

––

–C

alci

um c

hlor

ide

1004

3-52

-4Fu

ngic

ide/

he

rbic

ide/

in

sect

icid

e/

mic

robi

ocid

e/

mol

lusc

icid

e

––

––

––

Cal

cium

pol

ysul

fide

1344

-81-

6In

sect

icid

e/

fung

icid

e–

––

–N

AVN

AVN

IA

Chl

orob

enze

ne10

8-90

-7A

djuv

ant

–1,

500;

82,

μg/g

OC

Tier

1; T

ier 2

(U

SEPA

ESG

)C

once

ntra

tion

data

NAV

––

Chl

oroe

than

e75

-00-

3A

djuv

ant

––

––

––

–C

hlor

ofor

m67

-66-

3Fu

mig

ant/

adju

vant

––

––

––

Chl

orom

etha

ne74

-87-

3A

djuv

ant

––

––

––

–C

hlor

otet

racy

clin

e57

-62-

5A

ntib

iotic

––

––

––

–C

olle

ctot

richu

m sp

ores

NAV

Myc

oher

bici

de–

––

––

––

Con

ioth

yriu

m m

inita

nsN

AVM

icro

bial

fung

i-ci

de–

––

–N

AVN

AVN

IA

Page 174: Prioritizing Pesticide Compounds for Analytical Methods

160 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Not

tier

ed–p

estic

ide-

rela

ted

com

poun

ds in

oth

er c

onta

min

ant g

roup

s or

spe

cies

that

wou

ld n

ot b

e an

alyz

ed in

sed

imen

t –Co

ntin

ued

Cop

per

7440

-50-

8Fu

ngic

ide

–14

9,00

0;

31,6

00,

µg/k

g D

W

PEC

; TEC

(c

onse

nsus

- ba

sed

SQG

, M

acD

onal

d)

Con

cent

ratio

n da

ta N

AV9

C O

W1

Cop

per o

ctan

oate

2054

3-04

-8Fu

ngic

ide

––

––

203

CF

ECO

SAR

2C

oppe

r oxy

chlo

ride

S80

12-6

9-9

Fung

icid

e–

––

–9

(c

oppe

r)C

OW

1

Cop

per s

ulfa

te tr

ibas

ic55

200-

89-0

Her

bici

de/

alga

ecid

e/

fung

icid

e/

wat

er tr

eatm

ent

––

––

––

Cry

olite

1509

6-52

-3In

sect

icid

e–

––

–5,

000

AI O

PP to

x2

Cyd

ia p

omon

ella

NAV

Plan

t gro

wth

re

gula

tor

––

––

NAV

NAV

NIA

Dic

hlor

odifl

uoro

met

hane

75-7

1-8

Adj

uvan

t–

––

––

––

Dic

hlor

omet

hane

75-0

9-2

Fum

igan

t/ ad

juva

nt–

––

––

––

Dox

ycyc

line

564-

25-0

Ant

ibio

tic–

––

––

––

Page 175: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 161Ta

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Not

tier

ed–p

estic

ide-

rela

ted

com

poun

ds in

oth

er c

onta

min

ant g

roup

s or

spe

cies

that

wou

ld n

ot b

e an

alyz

ed in

sed

imen

t –Co

ntin

ued

Ethy

lben

zene

100-

41-4

Adj

uvan

t–

8,50

0; 4

80,

μg/g

OC

Tier

1; T

ier 2

(U

SEPA

ESG

)C

once

ntra

tion

data

NAV

––

Fatty

alc

ohol

s85

566-

12-7

Mic

robi

ocid

e/

solv

ent

––

––

1,64

2C

I EC

OSA

R2

Gar

lic ju

ice

8000

-78-

0In

sect

icid

e–

––

––

––

Geo

smin

2333

3-91

-7–

––

––

––

–H

arpi

n pr

otei

nN

AVFu

ngic

ide/

ne

mat

icid

e/

plan

t gro

wth

re

gula

tor

––

––

NAV

NAV

NIA

Hyd

rate

d lim

e13

05-6

2-0

Fung

icid

e/

mic

robi

ocid

e/

herb

icid

e

––

––

520,

506

CI E

CO

SAR

3

Hyd

roge

n pe

roxi

de77

22-8

4-1

Mic

robi

ocid

e/

fung

icid

e/

herb

icid

e/

rode

ntic

ide

––

––

31.5

AF

ECO

SAR

1

Page 176: Prioritizing Pesticide Compounds for Analytical Methods

162 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Not

tier

ed–p

estic

ide-

rela

ted

com

poun

ds in

oth

er c

onta

min

ant g

roup

s or

spe

cies

that

wou

ld n

ot b

e an

alyz

ed in

sed

imen

t –Co

ntin

ued

Kao

lin c

lay

1332

-58-

7In

sect

icid

e/

adju

vant

/ fu

ngic

ide/

m

icro

bioc

ide

––

––

NAV

NAV

NIA

Lead

ars

enat

e77

84-4

0-9

Her

bici

de/

inse

ctic

ide/

ro

dent

icid

e

––

––

––

m- a

nd p

-Xyl

ene

108-

38-3

&10

6-42

-3A

djuv

ant

–45

; 2.5

,μg

/g O

CTi

er 1

; Tie

r 2 -

m

-xyl

ene

(U

SEPA

ESG

)

Con

cent

ratio

n da

ta N

AV–

––

Met

hylis

obor

neol

2371

-42-

8–

––

––

––

–M

inoc

yclin

e10

118-

90-8

Ant

ibio

tic–

––

––

––

Myr

othe

cium

ver

ruca

riaN

AVIn

sect

icid

e/

nem

atic

ide

––

––

NAV

NAV

NIA

Nee

m o

il80

02-6

5-1

Inse

ctic

ide

––

––

203

AF

ECO

SAR

2N

osem

a lo

cust

ae c

ann

NAV

Inse

ctic

ide

––

––

––

–n-

Prop

ylbe

nzen

e10

3-65

-1A

djuv

ant

––

––

––

–O

ilN

AVIn

sect

icid

e–

––

––

––

o-X

ylen

e95

-47-

6A

djuv

ant

––

––

––

Page 177: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 163Ta

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Not

tier

ed–p

estic

ide-

rela

ted

com

poun

ds in

oth

er c

onta

min

ant g

roup

s or

spe

cies

that

wou

ld n

ot b

e an

alyz

ed in

sed

imen

t –Co

ntin

ued

Petro

leum

dis

tilla

te80

02-0

5-9

Inse

ctic

ide/

ad

juva

nt/

solv

ent

––

––

625

AF

ECO

TOX

2

Petro

leum

oil

6474

1-89

-5H

erbi

cide

/ pl

ant g

row

th

regu

lato

r/ in

sect

icid

e/

adju

vant

––

––

NAV

NAV

NIA

Phos

phor

ic a

cid

7664

-38-

2Fu

ngic

ide/

he

rbic

ide/

m

icro

bioc

ide

––

––

578,

554

CI E

CO

SAR

3

Phyt

opht

hora

spor

esN

AVH

erbi

cide

––

––

––

–Pi

nole

ne68

240-

09-5

Inse

ctic

ide

––

––

NAV

NAV

NIA

Poly

chlo

rinat

ed n

apht

hale

neN

AV–

––

––

––

–Po

lyhe

dros

is v

irus

NAV

Inse

ctic

ide

––

––

––

–Po

tass

ium

bic

arbo

nate

298-

14-6

Fung

icid

e–

––

–12

1,00

0,00

0A

NV

P

ECO

SAR

3

Pota

ssiu

m c

arbo

nate

584-

08-7

Fung

icid

e/

mic

robi

ocid

e/

herb

icid

e/

ph a

djus

tmen

t

––

––

––

Page 178: Prioritizing Pesticide Compounds for Analytical Methods

164 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Not

tier

ed–p

estic

ide-

rela

ted

com

poun

ds in

oth

er c

onta

min

ant g

roup

s or

spe

cies

that

wou

ld n

ot b

e an

alyz

ed in

sed

imen

t –Co

ntin

ued

Pseu

dom

onas

fluo

resc

ens

NAV

Mic

robi

al fu

ngi-

cide

––

––

NAV

NAV

NIA

Silic

ates

NAV

Inse

ctic

ide

––

––

––

–So

dium

ars

enite

7784

-46-

5H

erbi

cide

/ in

sect

icid

e/

rode

ntic

ide/

fu

ngic

ide

––

––

––

Sodi

um m

etab

orat

e77

75-1

9-1

Inse

ctic

ide

––

––

––

–St

eine

rnem

a ca

rpoc

apN

AVIn

sect

icid

e–

––

––

––

Stei

nern

ema

riobr

avi

NAV

Bio

cont

rol

––

––

––

–Su

lfach

loro

pyrid

azin

e80

-32-

0A

ntib

iotic

––

––

––

–Su

lfadi

met

hoxi

ne11

2-11

-2A

ntib

iotic

––

––

––

–Su

lfam

eraz

ine

127-

97-7

Ant

ibio

tic–

––

––

––

Sulfa

met

hazi

ne57

-68-

1A

ntib

iotic

––

––

––

–Su

lfam

etho

xazo

le72

3-46

-6A

ntib

iotic

––

––

––

–Su

lfath

iazo

le72

-14-

0A

ntib

iotic

––

––

––

–Su

lfuric

aci

d76

64-9

3-9

Her

bici

de/

dess

ican

t/ fu

ngic

ide/

m

icro

bioc

ide

––

––

21,0

00A

F EC

OTO

X2

Page 179: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 4. 165Ta

ble

4–1.

Aq

uatic

-life

ben

chm

arks

or t

oxic

ity v

alue

s w

ith re

sulti

ng A

quat

ic-L

ife T

oxic

ity B

ins

and

avai

labl

e se

dim

ent b

ench

mar

ks u

sed

in th

e ev

alua

tion

of p

estic

ides

for

sedi

men

t.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Sed

imen

t scr

eeni

ng

valu

es sh

own

are

the

low

est o

f the

ava

ilabl

e so

urce

s. Pe

stic

ide

com

poun

ds w

ere

dete

rmin

ed to

exc

eed

a be

nchm

ark

if co

ncen

tratio

ns a

t mor

e th

an 5

per

cent

of s

ites e

xcee

d th

e up

per s

cree

ning

val

ue. A

bbre

via-

tions

: AF,

acu

te fi

sh; A

I, ac

ute

inve

rtebr

ate;

AN

VP,

acu

te n

on-v

ascu

lar p

lant

; AV

P, a

cute

vas

cula

r pla

nt; C

AS,

Che

mic

al A

bstra

cts S

ervi

ce; C

F, c

hron

ic fi

sh; C

I, ch

roni

c in

verte

brat

e; C

OW

, chr

onic

Offi

ce o

f W

ater

Nat

iona

l Rec

omm

ende

d W

ater

Qua

lity

Crit

eria

for t

he P

rote

ctio

n of

Aqu

atic

Life

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

2); D

F >1

0 %

, ben

chm

ark

com

paris

on n

ot a

pplic

able

bec

ause

com

poun

d ha

s det

ectio

n fr

eque

ncy

>10

perc

ent (

Tier

1);

ECO

SAR

, est

imat

ed to

xici

ty v

alue

from

USE

PA’s

EPI

Sui

te E

CO

SAR

est

imat

ion

prog

ram

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

9a);

ECO

TOX

, tox

icity

va

lue

from

USE

PA’s

EC

OTO

Xic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010a

); ES

G, e

quili

briu

m-p

artit

ioni

ng se

dim

ent g

uide

line

(U.S

Env

ironm

enta

l Pro

tect

ion

Age

ncy,

200

4); I

SQG

, int

erim

se

dim

ent-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2002

); N

AV, n

ot a

vaila

ble;

NIA

, no

info

rmat

ion

avai

labl

e; O

PP, O

ffice

of P

estic

ide

Prog

ram

s aqu

atic

-life

ben

chm

ark

(U.S

Env

i-ro

nmen

tal P

rote

ctio

n A

genc

y, 2

009b

); O

PP E

coto

x, O

PP P

estic

ide

ecot

oxic

olog

y da

taba

se (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

009c

); O

PP to

x, to

xici

ty v

alue

from

OPP

rere

gist

ratio

n de

cisi

on d

ocum

ents

(U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); PE

C, p

roba

ble

effe

ct c

once

ntra

tion

(Mac

Don

ald

and

othe

rs, 2

000)

; PEL

, pro

babl

e ef

fect

leve

l (C

anad

ian

Cou

ncil

of M

inis

ters

of t

he E

nviro

nmen

t, 20

02);

SQ

G, s

edim

ent q

ualit

y gu

idel

ine;

SQ

SV, s

edim

ent-q

ualit

y sc

reen

ing

valu

e (L

opes

and

Fur

long

, 200

1); S

W, s

alt w

ater

; TEC

, thr

esho

ld e

ffect

con

cent

ratio

n (M

acD

onal

d an

d ot

hers

, 200

0); U

SEPA

, U.S

. En

viro

nmen

tal P

rote

ctio

n A

genc

y; U

SGS,

U.S

. Geo

logi

cal S

urve

y aq

uatic

-life

ben

chm

ark

dete

rmin

ed u

sing

OPP

met

hods

and

toxi

city

dat

a (U

.S E

nviro

nmen

tal P

rote

ctio

n A

genc

y, 2

010b

); W

QG

, wat

er-q

ualit

y gu

idel

ine

(Can

adia

n C

ounc

il of

Min

iste

rs o

f the

Env

ironm

ent,

2007

); >,

gre

ater

than

; μg/

g O

C, m

icro

gram

per

gra

m o

rgan

ic c

arbo

n; μ

g/kg

DW

, mic

rogr

am p

er k

ilogr

am d

ry w

eigh

t; μg

/L, m

icro

gram

per

lite

r; –,

non

e; %

, per

cent

]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Prim

ary

pest

icid

e ty

pe/u

seTi

er

Sedi

men

t ben

chm

arks

Aqu

atic

-life

toxi

city

Upp

er; l

ower

se

dim

ent

scre

enin

g va

lues

, un

its

Type

of

scre

enin

g va

lue

Exce

eds

benc

hmar

k?

Aqu

atic

-life

be

nchm

ark

(µg/

L)

Type

of

benc

hmar

k

Aqu

atic

-life

to

xici

ty b

in

(1,2

,3 o

r NIA

)

Not

tier

ed–p

estic

ide-

rela

ted

com

poun

ds in

oth

er c

onta

min

ant g

roup

s or

spe

cies

that

wou

ld n

ot b

e an

alyz

ed in

sed

imen

t –Co

ntin

ued

TCA

(Tric

hlor

oace

tic a

cid)

76-0

3-9

Her

bici

de/

brea

kdow

n pr

oduc

t

––

––

––

Tetra

boro

hydr

ate

NAV

Fung

icid

e/

inse

ctic

ide

––

––

NAV

NAV

NIA

Tetra

chlo

roet

hyle

ne12

7-18

-4Fu

mig

ant/

adju

vant

–42

0; 5

3,μg

/g O

CTi

er 1

; Tie

r 2

(USE

PA E

SG)

Con

cent

ratio

n da

ta N

AV–

––

Tolu

ene

108-

88-3

Adj

uvan

t–

1,60

0; 8

9,μg

/g O

CTi

er 1

; Tie

r 2

(USE

PA E

SG)

Con

cent

ratio

n da

ta N

AV–

––

Tric

hlor

oeth

ylen

e79

-01-

6Fu

mig

ant/

adju

vant

–2,

000;

210

,μg

/g O

CTi

er 1

; Tie

r 2

(USE

PA E

SG)

Con

cent

ratio

n da

ta N

AV–

––

Tric

hlor

ofluo

rom

etha

ne75

-69-

4A

djuv

ant

––

––

––

–Zi

nc74

40-6

6-6

Her

bici

de–

315,

000;

, 12

1,00

0,µg

/kg

DW

PEL

(Can

ada

- In

terim

SQ

G);

TE

C (c

onse

n-su

s-

base

d SQ

G,

Mac

Don

ald)

Con

cent

ratio

n da

ta N

AV12

0C

OW

2

1 See

tier

s for

indi

vidu

al c

ompo

nent

s of D

DT

(p,p

- and

o,p

ʹ-DD

D, D

DE,

and

DD

T).

Page 180: Prioritizing Pesticide Compounds for Analytical Methods

166 Prioritizing Pesticide Compounds for Analytical Methods Development

References Cited, Appendix 4

Canadian Council of Ministers of the Environment, 2002, Canadian sediment quality guidelines for the protection of aquatic life, summary tables, update 2002 (updated from Canadian environmental quality guidelines, 1999): Cana-dian Council of Ministers of the Environment, 7 p. Available at http://www.ccme.ca/assets/pdf/sedqg_summary_table.pdf

Canadian Council of Ministers of the Environment, 2007, Canadian water quality guidelines for the protection of aquatic life: Summary table, Update 7.1: Canadian Coun-cil of Ministers of the Environment, December 2007, 9 p. Available at http://www.ccme.ca/assets/pdf/aql_summary_7.1_en.pdf

Lopes, T.J., and Furlong, E.T., 2001, Occurrence and poten-tial adverse effects of semi-volatile organic compounds in streambed sediment, United States, 1992–1995: Environ-mental Toxicology and Chemistry, v. 20, no. 4, p. 727–737.

MacDonald, D.D., Ingersoll, C.G., and Berger, T.A., 2000, Development and evaluation of consensus-based sediment quality guidelines for freshwater ecosystems: Archives of Environmental Contamination and Toxicology, v. 39, p. 20–31.

U.S. Environmental Protection Agency, 2002, National recom-mended water quality criteria 2002: U.S. Environmental Protection Agency, Office of Water EPA-822-R-02-047, November 2002, 36 p. Available at http://water.epa.gov/scitech/swguidance/standards/upload/2008_04_29_criteria_wqctable_nrwqc-2002.pdf

U.S. Environmental Protection Agency, 2004, The incidence and severity of sediment contamination in surface waters of the United States, National Sediment Quality Survey: Second Edition, Appendix C: values used for chemicals evaluated: U.S. Environmental Protection Agency, Office of Science and Technology, EPA-823-R-04-007, November 2004, 280 p. Available at http://www.epa.gov/waterscience/cs/report/2004/nsqs2ed-complete.pdf

U.S. Environmental Protection Agency, 2009a, EPI Suite™ Version 4.0, USEPA Office of Pollution Prevention and Tox-ics and Syracuse Research Corporation (SRC). Available at http://www.epa.gov/oppt/exposure/pubs/episuite.htm

U.S. Environmental Protection Agency, 2009b, Office of Pesticide Programs’ aquatic life benchmarks (freshwater): U.S. Environmental Protection Agency, Office of Pesticide Programs, updated April 9, 2009, accessed May 2010, at http://www.epa.gov/oppefed1/ecorisk_ders/aquatic_life_benchmark.htm

U.S. Environmental Protection Agency, 2009c, Pesticide ecotoxicity database, version April 10, 2009: U.S. Environ-mental Protection Agency, Office of Pesticide Programs, last accessed January 22, 2010 at http://www.ipmcenters.org/Ecotox/index.cfm

U.S. Environmental Protection Agency, 2010a, ECOTOXicol-ogy Database System,Version 4.0: U.S. Environmental Pro-tection Agency, Office of Research and Development and the National Health and Environmental Effects Research Laboratory's Mid-Continent Ecology Division, last accessed May 2010, at http://www.epa.gov/ecotox/

U.S. Environmental Protection Agency, 2010b, Pesticide reregistration status: U.S. Environmental Protection Agency, Office of Pesticide Programs, accessed 2007– 2009, at http://www.epa.gov/oppsrrd1/reregistration/status.htm

Page 181: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 5. 167

Appendix 5.

Concentration Statistics for 83 Pesticide Compounds Sampled in Agricultural and Urban Land-Use Streams Over a 1-Year Period from the National Water-Quality Assessment (NAWQA) Program Monitoring Studies, 1993–2000

Page 182: Prioritizing Pesticide Compounds for Analytical Methods

Tabl

e 5–

1.

Conc

entra

tion

stat

istic

s fo

r 83

pest

icid

e co

mpo

unds

sam

pled

in a

gric

ultu

ral a

nd u

rban

land

-use

stre

ams

over

a 1

-yea

r per

iod

from

the

Nat

iona

l Wat

er-Q

ualit

y As

sess

men

t (N

AWQA

) Pro

gram

mon

itorin

g st

udie

s, 1

993–

2000

.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Con

cent

ratio

n st

atis

-tic

s wer

e de

term

ined

for a

gric

ultu

ral a

nd u

rban

land

-use

stre

am si

tes w

ith a

min

imum

of e

ight

sam

ples

in a

1-y

ear p

erio

d us

ing

the

met

hods

of M

artin

(200

6). A

bbre

viat

ions

: CA

S, C

hem

ical

Abs

tract

s Ser

vice

; LT

-MD

L, lo

ng-te

rm m

etho

d de

tect

ion

leve

l; N

AV, n

ot a

vaila

ble;

µg/

L, m

icro

gram

s per

lite

r; <,

less

than

]

Chem

ical

nam

ePa

ram

eter

co

de

CAS

Regi

stry

N

umbe

r

Max

imum

LT

-MD

L (µ

g/L)

Agr

icul

tura

l Str

eam

sU

rban

Str

eam

s

Num

ber

of s

ites

Rang

e of

nu

mbe

r of

sam

ples

pe

r site

Max

imum

of

ann

ual

mea

ns

(num

ber o

f sa

mpl

es),

in µ

g/L

1

Max

imum

of

95th

per

cent

iles

(num

ber o

f sa

mpl

es),

in µ

g/L

1

Num

ber

of s

ites

Rang

e of

nu

mbe

r of

sam

ples

pe

r site

Max

imum

of

ann

ual

mea

ns

(num

ber o

f sa

mpl

es),

in µ

g/L

1

Max

imum

of

95th

per

cent

iles

(num

ber o

f sa

mpl

es),

in

µg/

L 1

2,4,

5-T

(2,4

,5-T

richl

oro-

ph

enox

yace

tic a

cid)

3974

293

-76-

50.

0462

10 to

44

<0.0

4<0

.04

1914

to 4

5<0

.04

<0.0

4

2,4,

5-TP

(2-[

2,4,

5-Tr

ichl

oro-

phen

oxy]

prop

ioni

c ac

id)

3976

293

-72-

10.

0362

10 to

44

<0.0

3<0

.03

1914

to 4

5<0

.03

<0.0

3

2,4-

D (2

,4-D

ichl

orop

heno

xy

acet

ic a

cid)

3973

294

-75-

70.

0862

10 to

44

<0.6

363.

87 (1

9)19

14 to

45

0.73

9 (2

5)4.

34 (2

5)

2,4-

DB

(4-[

2,4-

Dic

hlor

o-

phen

oxy]

buty

ric a

cid)

3874

694

-82-

60.

1362

10 to

44

<0.1

3<0

.13

1914

to 4

5<0

.134

<0.1

3

2,6-

Die

thyl

anili

ne82

660

579-

66-8

0.00

383

10 to

49

0.00

2 (3

0)0.

005

(30)

3014

to 5

0<0

.003

<0.0

033-

Hyd

roxy

carb

ofur

an49

308

1665

5-82

-60.

0562

10 to

46

<0.0

5<0

.05

1914

to 4

6<0

.05

<0.0

5A

ceto

chlo

r49

260

3425

6-82

-10.

003

498

to 4

90.

716

(19)

6.68

(19)

218

to 4

2<0

.022

0.16

(29)

Aci

fluor

fen

4931

550

594-

66-6

0.04

6210

to 4

40.

138

(36)

0.81

(36)

1914

to 4

5<0

.04

0.06

(25)

Ala

chlo

r46

342

1597

2-60

-80.

002

8310

to 4

90.

457

(19)

3.33

(19)

3013

to 4

90.

004

(26)

0.01

9 (2

5)A

ldic

arb

4931

211

6-06

-30.

162

10 to

46

<0.1

16<0

.119

14 to

46

<0.1

<0.1

Ald

icar

b su

lfone

4931

316

46-8

8-4

0.1

6210

to 4

6<0

.1<0

.119

14 to

46

<0.1

<0.1

Ald

icar

b su

lfoxi

de49

314

1646

-87-

30.

1462

10 to

46

<0.2

050.

5 (2

8)19

14 to

46

<0.1

4<0

.14

alph

a-H

CH

(alp

ha-

Hex

achl

oroc

yclo

hexa

ne)

3425

331

9-84

-60.

002

8310

to 4

9<0

.011

0.06

9 (1

8)30

14 to

50

<0.0

02<0

.002

Atra

zine

3963

219

12-2

4-9

0.00

483

10 to

49

9.62

2 (3

0)58

.7 (2

7)30

12 to

50

0.58

5 (3

0)2.

68 (3

0)A

zinp

hos-

met

hyl

8268

686

-50-

00.

0283

10 to

49

0.02

1 (2

4)0.

28 (4

4)30

14 to

50

<0.0

310.

171

(18)

Ben

flura

lin82

673

1861

-40-

10.

005

8310

to 4

9<0

.005

0.00

6 (4

9)30

14 to

50

<0.0

050.

01 (3

4)B

enta

zon

3871

125

057-

89-0

0.03

6210

to 4

40.

293

(36)

1.53

(36)

1914

to 4

5<0

.03

<0.0

3B

rom

acil

0402

931

4-40

-90.

0462

10 to

46

<0.3

950.

88 (2

0)19

14 to

46

<0.1

751.

55 (3

0)B

rom

oxyn

il49

311

1689

-84-

50.

0362

10 to

44

<0.0

450.

06 (1

5)19

14 to

45

<0.0

3<0

.03

But

ylat

e04

028

2008

-41-

50.

001

8310

to 4

90.

148

(30)

0.85

(24)

3014

to 5

0<0

.001

<0.0

01C

arba

ryl

8268

063

-25-

20.

021

8310

to 4

90.

116

(24)

0.56

8 (1

8)30

14 to

50

0.64

4 (1

9)4.

8 (1

9)C

arbo

fura

n82

674

1563

-66-

20.

0183

10 to

49

0.49

3 (1

8)3.

61 (1

8)30

14 to

50

<0.0

130.

05 (2

3)

Tabl

e 5–

1.

Conc

entra

tion

stat

istic

s fo

r 83

pest

icid

e co

mpo

unds

sam

pled

in a

gric

ultu

ral a

nd u

rban

land

-use

stre

ams

over

a 1

-yea

r per

iod

from

the

Nat

iona

l Wat

er-Q

ualit

y As

sess

men

t (N

AWQA

) Pro

gram

mon

itorin

g st

udie

s, 1

993–

2000

.

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Con

cent

ratio

n st

atis

-tic

s wer

e de

term

ined

for a

gric

ultu

ral a

nd u

rban

land

-use

stre

am si

tes w

ith a

min

imum

of e

ight

sam

ples

in a

1-y

ear p

erio

d us

ing

the

met

hods

of M

artin

(200

6). A

bbre

viat

ions

: CA

S, C

hem

ical

Abs

tract

s Ser

vice

; LT

-MD

L, lo

ng-te

rm m

etho

d de

tect

ion

leve

l; N

AV, n

ot a

vaila

ble;

µg/

L, m

icro

gram

s per

lite

r; <,

less

than

]

168 Prioritizing Pesticide Compounds for Analytical Methods Development

Page 183: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 5. 169Ta

ble

5–1.

Co

ncen

tratio

n st

atis

tics

for 8

3 pe

stic

ide

com

poun

ds s

ampl

ed in

agr

icul

tura

l and

urb

an la

nd-u

se s

tream

s ov

er a

1-y

ear p

erio

d fro

m th

e N

atio

nal W

ater

-Qua

lity

Asse

ssm

ent (

NAW

QA) P

rogr

am m

onito

ring

stud

ies,

199

3–20

00.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Con

cent

ratio

n st

atis

-tic

s wer

e de

term

ined

for a

gric

ultu

ral a

nd u

rban

land

-use

stre

am si

tes w

ith a

min

imum

of e

ight

sam

ples

in a

1-y

ear p

erio

d us

ing

the

met

hods

of M

artin

(200

6). A

bbre

viat

ions

: CA

S, C

hem

ical

Abs

tract

s Ser

vice

; LT

-MD

L, lo

ng-te

rm m

etho

d de

tect

ion

leve

l; N

AV, n

ot a

vaila

ble;

µg/

L, m

icro

gram

s per

lite

r; <,

less

than

]

Chem

ical

nam

ePa

ram

eter

co

de

CAS

Regi

stry

N

umbe

r

Max

imum

LT

-MD

L (µ

g/L)

Agr

icul

tura

l Str

eam

sU

rban

Str

eam

s

Num

ber

of s

ites

Rang

e of

nu

mbe

r of

sam

ples

pe

r site

Max

imum

of

ann

ual

mea

ns

(num

ber o

f sa

mpl

es),

in µ

g/L

1

Max

imum

of

95th

per

cent

iles

(num

ber o

f sa

mpl

es),

in µ

g/L

1

Num

ber

of s

ites

Rang

e of

nu

mbe

r of

sam

ples

pe

r site

Max

imum

of

ann

ual

mea

ns

(num

ber o

f sa

mpl

es),

in µ

g/L

1

Max

imum

of

95th

per

cent

iles

(num

ber o

f sa

mpl

es),

in

µg/

L 1

Chl

oram

ben

met

hyl

6118

872

86-8

4-2

0.11

6210

to 4

6<0

.11

<0.1

119

14 to

46

<0.1

1<0

.11

Chl

orot

halo

nil

4930

618

97-4

5-6

0.07

6210

to 4

6<0

.07

<0.0

719

14 to

45

<0.0

70.

03 (2

6)C

hlor

pyrif

os38

933

2921

-88-

20.

003

8310

to 4

90.

019

(47)

0.08

5 (4

7)30

14 to

50

0.05

4 (2

5)0.

149

(25)

cis-

Perm

ethr

in82

687

5477

4-45

-70.

003

8310

to 4

9<0

.004

0.01

9 (1

5)30

14 to

50

<0.0

03<0

.003

Clo

pyra

lid49

305

1702

-17-

60.

2162

10 to

44

<0.2

1<0

.21

1914

to 4

5<0

.21

<0.2

1C

yana

zine

0404

121

725-

46-2

0.00

983

10 to

48

4.04

(30)

13.9

(14)

3014

to 5

0<0

.013

0.04

3 (3

4)D

acth

al82

682

1861

-32-

10.

002

8310

to 4

92.

128

(24)

30 (2

4)30

14 to

50

0.00

6 (2

4)0.

029

(19)

Dac

thal

mon

oaci

d49

304

887-

54-7

0.04

6210

to 4

4<0

.06

0.21

(24)

1914

to 4

5<0

.04

<0.0

4D

eeth

ylat

razi

ne04

040

6190

-65-

40.

003

8310

to 4

90.

329

(30)

1.72

(30)

3012

to 5

00.

044

(29)

0.19

(25)

Dia

zino

n39

572

333-

41-5

0.00

383

10 to

49

0.06

3 (4

6)0.

36 (4

6)30

12 to

50

0.70

5 (2

1)1.

9 (2

1)D

icam

ba38

442

1918

-00-

90.

0562

10 to

44

<0.0

850.

41 (2

0)19

14 to

45

<0.0

570.

16 (2

0)D

ichl

oben

il49

303

1194

-65-

60.

0562

10 to

46

<0.0

50.

01 (1

7)19

14 to

46

<0.0

740.

3 (1

4)D

ichl

orpr

op49

302

120-

36-5

0.06

6210

to 4

4<0

.068

0.11

(18)

1914

to 4

5<0

.067

0.07

(25)

Die

ldrin

3938

160

-57-

10.

002

8310

to 4

90.

006

(44)

0.02

9 (1

5)30

14 to

50

0.04

5 (2

2)0.

077

(22)

Din

oseb

4930

188

-85-

70.

0462

10 to

44

<0.0

830.

02 (2

2)19

14 to

45

<0.0

4<0

.04

Dis

ulfo

ton

8267

729

8-04

-40.

011

8310

to 4

9<0

.068

0.03

2 (3

6)30

14 to

50

<0.0

11<0

.011

Diu

ron

4930

033

0-54

-10.

0662

10 to

46

0.22

7 (3

6)13

(17)

1914

to 4

61.

526

(23)

6.76

(23)

DN

OC

(4,6

-Din

itro-

o-cr

esol

)49

299

534-

52-1

0.13

6210

to 4

4<0

.13

0.19

(21)

1914

to 4

5<0

.142

0.32

(20)

EPTC

(S-E

thyl

di

prop

ylth

ioca

rbam

ate)

8266

875

9-94

-40.

001

8310

to 4

90.

564

(24)

4.6

(24)

3014

to 5

00.

005

(27)

0.03

7 (1

8)

Etha

lflur

alin

8266

355

283-

68-6

0.00

583

10 to

49

<0.0

220.

13 (4

5)30

14 to

50

<0.0

05<0

.005

Etho

prop

8267

213

194-

48-4

0.00

283

10 to

49

0.01

3 (3

1)0.

329

(18)

3014

to 4

9<0

.006

0.02

9 (2

9)Fe

nuro

n49

297

101-

42-8

0.03

6210

to 4

6<0

.03

<0.0

319

14 to

46

<0.0

3<0

.03

Fluo

met

uron

3881

121

64-1

7-2

0.03

6210

to 4

60.

925

(28)

7.56

(28)

1914

to 4

6<0

.03

<0.0

3Fo

nofo

s04

095

944-

22-9

0.00

183

10 to

49

0.03

1 (4

4)0.

17 (1

4)30

14 to

50

<0.0

060.

028

(19)

gam

ma-

HC

H39

341

58-8

9-9

0.00

283

10 to

49

<0.0

10.

036

(18)

3014

to 5

0<0

.005

0.01

5 (1

4)Li

nuro

n82

666

330-

55-2

0.01

883

10 to

49

<0.0

610.

32 (3

1)30

14 to

50

<0.0

29<0

.018

Mal

athi

on39

532

121-

75-5

0.01

483

10 to

49

0.04

4 (2

6)0.

243

(26)

3014

to 5

00.

059

(24)

0.38

(21)

Page 184: Prioritizing Pesticide Compounds for Analytical Methods

Tabl

e 5–

1.

Conc

entra

tion

stat

istic

s fo

r 83

pest

icid

e co

mpo

unds

sam

pled

in a

gric

ultu

ral a

nd u

rban

land

-use

stre

ams

over

a 1

-yea

r per

iod

from

the

Nat

iona

l Wat

er-Q

ualit

y As

sess

men

t (N

AWQA

) Pro

gram

mon

itorin

g st

udie

s, 1

993–

2000

.—Co

ntin

ued

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Con

cent

ratio

n st

atis

-tic

s wer

e de

term

ined

for a

gric

ultu

ral a

nd u

rban

land

-use

stre

am si

tes w

ith a

min

imum

of e

ight

sam

ples

in a

1-y

ear p

erio

d us

ing

the

met

hods

of M

artin

(200

6). A

bbre

viat

ions

: CA

S, C

hem

ical

Abs

tract

s Ser

vice

; LT

-MD

L, lo

ng-te

rm m

etho

d de

tect

ion

leve

l; N

AV, n

ot a

vaila

ble;

µg/

L, m

icro

gram

s per

lite

r; <,

less

than

]

Chem

ical

nam

ePa

ram

eter

co

de

CAS

Regi

stry

N

umbe

r

Max

imum

LT

-MD

L (µ

g/L)

Agr

icul

tura

l Str

eam

sU

rban

Str

eam

s

Num

ber

of s

ites

Rang

e of

nu

mbe

r of

sam

ples

pe

r site

Max

imum

of

ann

ual

mea

ns

(num

ber o

f sa

mpl

es),

in µ

g/L

1

Max

imum

of

95th

per

cent

iles

(num

ber o

f sa

mpl

es),

in µ

g/L

1

Num

ber

of s

ites

Rang

e of

nu

mbe

r of

sam

ples

pe

r site

Max

imum

of

ann

ual

mea

ns

(num

ber o

f sa

mpl

es),

in µ

g/L

1

Max

imum

of

95th

per

cent

iles

(num

ber o

f sa

mpl

es),

in

µg/

L 1

MC

PA (2

-Met

hyl-4

-chl

oro-

phen

oxya

cetic

aci

d)38

482

94-7

4-6

0.1

6210

to 4

4<0

.192

0.94

(16)

1914

to 4

5<0

.229

0.68

(25)

MC

PB (4

-[4-

Chl

oro-

2-

met

hylp

heno

xy]b

utan

oic

acid

)

3848

794

-81-

50.

1362

10 to

44

<0.1

3<0

.13

1914

to 4

5<0

.13

<0.1

3

Met

hioc

arb

3850

120

32-6

5-7

0.03

6210

to 4

6<0

.03

<0.0

319

14 to

46

<0.0

3<0

.03

Met

hom

yl49

296

1675

2-77

-50.

2462

10 to

46

<0.2

610.

33 (2

0)19

14 to

46

<0.2

4<0

.24

Met

olac

hlor

3941

551

218-

45-2

0.00

683

10 to

49

2.39

5 (2

3)11

.6 (3

0)30

14 to

50

0.46

5 (2

5)2

(25)

Met

ribuz

in82

630

2108

7-64

-90.

003

8310

to 4

90.

446

(19)

3.66

(23)

3014

to 5

0<0

.02

0.18

8 (2

2)M

olin

ate

8267

122

12-6

7-1

0.00

183

10 to

49

7.89

6 (2

1)40

(21)

3014

to 5

0<0

.008

0.06

1 (2

5)N

apro

pam

ide

8268

415

299-

99-7

0.00

383

10 to

49

0.10

1 (1

8)0.

767

(18)

3014

to 5

0<0

.005

0.00

8 (2

8)N

ebur

on49

294

555-

37-3

0.03

6210

to 4

6<0

.03

<0.0

319

14 to

46

<0.0

30.

02 (1

7)N

orflu

razo

n49

293

2731

4-13

-20.

021

6210

to 4

60.

426

(20)

0.58

(20)

1914

to 4

6<0

.021

<0.0

21O

ryza

lin49

292

1904

4-88

-30.

1462

10 to

46

<0.2

391.

8 (1

7)19

14 to

46

<0.2

161.

51 (2

3)O

xam

yl38

866

2313

5-22

-00.

0862

10 to

46

0.05

2 (2

5)0.

15 (2

5)19

14 to

46

<0.0

8<0

.08

p,pʹ

-DD

E (p

,pʹ-

Dic

hlor

odip

heny

l-di

chlo

roet

hyle

ne)

3465

372

-55-

90.

001

8310

to 4

90.

008

(49)

0.03

(49)

3014

to 5

0<0

.001

0.00

2 (3

1)

Para

thio

n39

542

56-3

8-2

0.00

583

10 to

49

<0.0

05<0

.005

3014

to 5

0<0

.006

<0.0

05Pa

rath

ion-

met

hyl

8266

729

8-00

-00.

003

8310

to 4

9<0

.029

0.21

9 (3

5)30

13 to

50

<0.0

05<0

.003

Pebu

late

8266

911

14-7

1-2

0.00

283

10 to

49

0.02

4 (4

3)0.

14 (4

3)30

14 to

50

<0.0

030.

023

(19)

Pend

imet

halin

8268

340

487-

42-1

0.01

183

10 to

49

0.11

6 (3

5)0.

779

(35)

3014

to 5

00.

079

(25)

0.28

7 (2

5)Ph

orat

e82

664

298-

02-2

0.00

683

9 to

49

<0.0

13<0

.006

3014

to 5

0<0

.006

<0.0

06Pi

clor

am49

291

1918

-02-

10.

0462

10 to

44

<0.0

4<0

.04

1914

to 4

5<0

.04

<0.0

4Pr

omet

on04

037

1610

-18-

00.

007

8310

to 4

80.

075

(24)

0.11

8 (2

2)30

14 to

50

0.99

8 (3

0)1.

8 (3

2)Pr

onam

ide

8267

623

950-

58-5

0.00

283

10 to

49

0.03

5 (2

2)0.

2 (2

1)30

14 to

50

0.03

2 (2

5)0.

092

(25)

Prop

achl

or04

024

1918

-16-

70.

005

8310

to 4

9<0

.014

0.10

7 (1

5)30

14 to

50

<0.0

050.

008

(18)

Prop

anil

8267

970

9-98

-80.

005

8310

to 4

9<0

.066

0.23

8 (3

4)30

14 to

50

<0.0

090.

022

(24)

170 Prioritizing Pesticide Compounds for Analytical Methods Development

Page 185: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 5. 171Ta

ble

5–1.

Co

ncen

tratio

n st

atis

tics

for 8

3 pe

stic

ide

com

poun

ds s

ampl

ed in

agr

icul

tura

l and

urb

an la

nd-u

se s

tream

s ov

er a

1-y

ear p

erio

d fro

m th

e N

atio

nal W

ater

-Qua

lity

Asse

ssm

ent (

NAW

QA) P

rogr

am m

onito

ring

stud

ies,

199

3–20

00.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Con

cent

ratio

n st

atis

-tic

s wer

e de

term

ined

for a

gric

ultu

ral a

nd u

rban

land

-use

stre

am si

tes w

ith a

min

imum

of e

ight

sam

ples

in a

1-y

ear p

erio

d us

ing

the

met

hods

of M

artin

(200

6). A

bbre

viat

ions

: CA

S, C

hem

ical

Abs

tract

s Ser

vice

; LT

-MD

L, lo

ng-te

rm m

etho

d de

tect

ion

leve

l; N

AV, n

ot a

vaila

ble;

µg/

L, m

icro

gram

s per

lite

r; <,

less

than

]

Chem

ical

nam

ePa

ram

eter

co

de

CAS

Regi

stry

N

umbe

r

Max

imum

LT

-MD

L (µ

g/L)

Agr

icul

tura

l Str

eam

sU

rban

Str

eam

s

Num

ber

of s

ites

Rang

e of

nu

mbe

r of

sam

ples

pe

r site

Max

imum

of

ann

ual

mea

ns

(num

ber o

f sa

mpl

es),

in µ

g/L

1

Max

imum

of

95th

per

cent

iles

(num

ber o

f sa

mpl

es),

in µ

g/L

1

Num

ber

of s

ites

Rang

e of

nu

mbe

r of

sam

ples

pe

r site

Max

imum

of

ann

ual

mea

ns

(num

ber o

f sa

mpl

es),

in µ

g/L

1

Max

imum

of

95th

per

cent

iles

(num

ber o

f sa

mpl

es),

in

µg/

L 1

Prop

argi

te82

685

2312

-35-

80.

011

8310

to 4

91.

242

(49)

20 (4

9)30

14 to

50

<0.0

12<0

.011

Prop

ham

4923

612

2-42

-90.

1162

10 to

46

<0.1

1<0

.11

1914

to 4

6<0

.11

0.07

(23)

Prop

oxur

3853

811

4-26

-10.

0662

10 to

46

<0.0

60.

11 (2

4)19

14 to

46

<0.0

68<0

.06

Sim

azin

e04

035

122-

34-9

0.00

683

10 to

49

0.71

9 (2

2)3.

12 (2

2)30

13 to

50

3.57

4 (2

5)9.

03 (2

5)Te

buth

iuro

n82

670

3401

4-18

-10.

008

8310

to 4

90.

683

(15)

1.58

(15)

3013

to 5

00.

228

(31)

1.07

(31)

Terb

acil

8266

559

02-5

1-2

0.01

783

10 to

49

0.04

3 (2

5)0.

094

(25)

3014

to 5

0<0

.02

0.06

9 (3

1)Te

rbuf

os82

675

1307

1-79

-90.

009

8310

to 4

9<0

.009

<0.0

0930

14 to

50

<0.0

09<0

.009

Thio

benc

arb

8268

128

249-

77-6

0.00

283

10 to

49

0.10

2 (3

3)4.

38 (1

5)30

14 to

50

<0.0

030.

009

(25)

Tria

llate

8267

823

03-1

7-5

0.00

183

10 to

49

0.04

8 (2

2)0.

41 (2

2)30

14 to

50

<0.0

240.

026

(14)

Tric

lopy

r49

235

5533

5-06

-30.

0462

10 to

44

<0.6

752.

27 (3

6)19

14 to

45

<0.3

483.

35 (2

3)Tr

iflur

alin

8266

115

82-0

9-8

0.00

583

10 to

49

0.02

(44)

0.08

1 (3

5)30

14 to

50

0.00

4 (2

5)0.

02 (2

4)1 Th

e nu

mbe

r of s

ampl

es fo

r the

max

imum

of t

he a

nnua

l mea

ns a

nd 9

5th p

erce

ntile

s is g

iven

onl

y w

hen

the

valu

e is

not

a le

ss-th

an v

alue

.

Page 186: Prioritizing Pesticide Compounds for Analytical Methods

172 Prioritizing Pesticide Compounds for Analytical Methods Development

Reference Cited, Appendix 5

Martin, J.D., 2006, The quality of our nation's waters–pesti-cides in the nation's streams and ground water, 1992–2001, Appendix 8A: Analytical approach and methods for pes-ticides in stream water: U.S. Geological Survey, Circular 1291, accessed at http://water.usgs.gov/nawqa/pnsp/pubs/circ1291/appendix8/8a.html (available online only).

Page 187: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 6. 173

Appendix 6.

Summary of the Multi-Compound Watershed Regressions for Pesticides (WARP) Model Methodology

Page 188: Prioritizing Pesticide Compounds for Analytical Methods

174 Prioritizing Pesticide Compounds for Analytical Methods Development

Larson and others (2004) developed and applied regres-sion models for predicting atrazine concentration statistics in streams. These Watershed Regressions for Pesticides (WARP) use nationally and readily available watershed characteristics and atrazine use intensity (kilograms per square kilometer) within the watersheds as explanatory variables to facilitate model extrapolation to unmonitored streams. Stone and Gil-liom (2009) updated the WARP models to incorporate updated, annually variable atrazine use and precipitation information. The WARP atrazine models have the form of equation 1 and coefficients for the model variables are listed in table 6-1.

log Concentration = UI + log R

+ K+ WA +

10 10

1/4

1/2

( ) ( )

f

PERDUN + PRECIP

whereUI = atrazine-use intensity, or the a

]

nnnualagricultural use in a watershedin kilograms divided bby thewatershed area in square kilometers;

R = rainfall erosiivity factor R-factor from Universal Soil Loss Equation

( )

USLEK = soil erodibility factor K-factor

from USLE;WA

( )( )

;

== area of the watershed in square kilometers;PERDUN = percenttage of total stream flow derived

from Dunne overland floww; andPRECIP = total precipitation for May and June

in millimmeters.

(1)

Pesticide properties influence their transport to streams. Direct use of the atrazine WARP models to predict concentra-tions of other pesticides in streams will be affected by differ-ences between atrazine properties and those of other pesti-cides. For pesticides that have properties that make them less mobile than atrazine in surface runoff, the direct application of the atrazine WARP models will consistently over-predict concentrations in streams.

To support the pesticide prioritization effort, non-atrazine pesticide concentrations can be predicted using the WARP models by substituting the use intensity of the pesticides of

interest and adjusting the predicted concentrations based on the properties of the pesticides (Charles G. Crawford, U.S. Geological Survey, written commun., 2009). The surface water mobility index (SWMI) attempts to quantify pesticide mobil-ity through use of the soil degradation half-life and organic carbon sorption coefficient (Chen and others, 2002). Vapor pressure also influences transport, in that pesticides with high vapor pressures have more potential to volatize, reducing the likelihood of direct transport to streams. In addition, pesticides with high vapor pressures may require application through soil incorporation, which reduces their availability for transport by surface runoff.

The SWMI and vapor pressure values of the non-atrazine pesticides were incorporated in the WARP models as mul-tiplicative factors that adjust the pesticide concentrations predicted by the atrazine WARP models (Charles G. Crawford, U.S. Geological Survey, written commun., 2009). The SWMI adjustment factor (SWMIAF) was calculated as shown in equation 2.

SWMI = (SWMI /SWMI )

whereSWMI

AF pesticide atrazine

pestici

0 8692.

dde = surface water mobility index for a

non-atrazine pesticiide, andSWMI surface water mobility index

for atratrazine =

aazine.

(2)

The vapor pressure adjustment factor (VPAF) was calculated as shown in equation 3. If VPpesticide was less than VPatrazine, then VPAF was considered to be 1.

VP VP VP871

whereVP vapor p

AF atrazine pesticide

atrazine

= ( )

=

/.0 0

rressure of atrazine, andVP vapor pressure of a npesticide = oon-atrazine

pesticide.

(3)

Table 6–1. Coefficients for variables in the annual mean and 95th percentile Watershed Regressions for Pesticides (WARP) models.

[Model variables are defined in equation 1]

Concentration statistic

Regression coefficients

Intercept UI1/4 log10R K WA1/2 PERDUN PRECIP

Annual mean –4.23 0.75 0.571 2.40 0.00046 –0.096 0.002295th percentile –4.01 0.71 0.665 2.89 0.00058 –0.091 0.0024

Page 189: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 6. 175

The coefficients for the SWMI ratio (0.8691812) and the vapor pressure ratio (0.08713313) were estimated from the relation shown in equation 4 using uncensored observa-tions for 30 pesticides (excluding atrazine) for which both estimated agricultural pesticide use and concentration data were available (table 6-2). Annual concentration statistics for these pesticides were calculated for one year of data from each of the WARP model-development stations to avoid any one station from having undue influence on the relation because of having multiple years of data. The years available for selection ranged from 1992 to 2003, and the year selection was based on the number of samples collected and the timing of sample collection in order to strengthen the calculation of the annual frequency distribution of pesticide concentrations in the streams. To optimize the estimation process, the uncensored observations were pooled across the various concentration sta-tistics because of the limited amount of uncensored observa-tions for the individual concentrations statistics. This pooling resulted in a total of 1,706 uncensored observations for the estimation process. Metolachlor contributed the most data to this pool (41 percent), which was followed by cyanazine (18 percent), acetochlor (13 percent), bentazon (6 percent), EPTC (5 percent), and triallate (3 percent); the remaining pesticides combined contributed 14 percent. Herbicides made up 96 percent of pooled uncensored observations.

log Concentration log1

Concentration10 0observed predicted( ) =

+ coefficient log

1SWMI SWMISWMI pesticide atrazine×

0/

+

coefficient log1

VP VP

wher

VP atrazine pesticide×0

/

eeConcentration observed concentration

of pesticidobserved =ee,

Concentration predicted concentration of pestipredicted =

ccide,coefficient coefficient for SWMI

ratio, andcoeff

SWMI =

iicient coefficient for vapor pressure ratioVP =

.

(4)

The WARP regression models will predict non-zero pesticide concentrations for streams with zero pesticide use intensity, which will contribute toward over prediction of stream concentrations for non-atrazine pesticides. The WARP models used in the pesticide prioritization effort were cor-rected for this by subtracting predicted concentrations for zero use intensity from the predicted concentration according to equation 5.

Concentration

Concentration ConcentratiCorrected

Predicted

=

− oon SWMI VP

whereConcentration pre

ZeroUseAF AF

Corrected

( )

=

××

ddicted concentration for a pesticide corrected for zero usse intensity in the watershed,

Concentration predPredicted = iicted concentration for a pesticide based on 2 7 agricul

00ttural pesticide use

intensity GfK Kynetec 2 7 and

Con

( ,),00

ccentration predicted concentration for a pesticide

ZeroUse = with use intensity

equal to zero.

(5)

Table 6–2. Pesticides used in estimating the adjustment factor coefficients for the adjusted atrazine Watershed Regressions for Pesticides (WARP) model.

Compound name

Acetochlor Chlorimuron ethyl Fonofos Pebulate PropiconazoleAcifluorfen Cyanazine Linuron Phorate TerbacilBentazon EPTC (S-Ethyl dipropylthiocarbamate) Methomyl Pronamide TerbufosBromoxynil Ethalfluralin Metolachlor Propachlor ThiobencarbButylate Ethoprop Nicosulfuron Propanil TriallateCarbofuran Fluometuron Oxamyl Propargite Trifluralin

Page 190: Prioritizing Pesticide Compounds for Analytical Methods

176 Prioritizing Pesticide Compounds for Analytical Methods Development

References Cited, Appendix 6

Chen, W., Hertl, P., Chen, S., and Tierney, D., 2002, A pesti-cide surface water mobility index and its relationship with concentrations in agriculture drainage watersheds: Environ-mental Toxicology and Chemistry, v. 21, no. 2, p. 298–308.

Larson, S.J., Crawford, C.G., and Gilliom, R.J., 2004, Devel-opment and application of Watershed Regressions for Pesticides (WARP) for estimating atrazine concentration distributions in streams: U.S. Geological Survey Water-Resources Investigations Report 03–4047, 68 p.

Stone, W.W., and Gilliom, R.J., 2009, Update of watershed regressions for pesticides (WARP) for predicting atrazine concentration in streams: U.S. Geological Survey Open-File Report 2009–1122, 22 p. Available at http://pubs.usgs.gov/of/2009/1122/

Page 191: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 7. 177

Appendix 7.

Detection Frequencies in Agricultural and Urban Streams and Groundwater from the National Water-Quality Assessment (NAWQA) Program Monitoring Studies, 1993–2006

Page 192: Prioritizing Pesticide Compounds for Analytical Methods

178 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

7–1.

De

tect

ion

frequ

enci

es in

agr

icul

tura

l and

urb

an s

urfa

ce w

ater

and

gro

undw

ater

from

the

Nat

iona

l Wat

er-Q

ualit

y As

sess

men

t (N

AWQA

) Pro

gram

mon

itorin

g st

udie

s,

1993

–200

6.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Det

ectio

n fr

eque

ncie

s for

stre

ams w

ere

calc

ulat

ed b

y fir

st d

eter

min

ing

dete

ctio

n fr

eque

ncy

by si

te (m

inim

um o

f 12

sam

ples

per

site

), th

en p

oolin

g si

tes b

y la

nd-u

se g

roup

, and

fina

lly c

alcu

latin

g a

site

-wei

ghte

d de

tect

ion

freq

uenc

y fo

r the

land

-use

gro

up. D

etec

tion

freq

uenc

ies f

or g

roun

dwat

er w

ere

calc

ulat

ed b

y fir

st d

eter

min

ing

dete

ctio

n fr

eque

ncy

for a

wel

l, th

en p

oolin

g w

ells

by

netw

ork

(min

imum

of 1

2 w

ells

per

net

wor

k),

follo

wed

by

calc

ulat

ing

the

site

-wei

ghte

d m

ean

dete

ctio

n fr

eque

ncy

for t

he n

etw

ork,

then

poo

ling

netw

orks

by

land

-use

gro

up, a

nd fi

nally

cal

cula

ting

a si

te a

nd n

etw

ork

wei

ghte

d m

ean

dete

ctio

n fr

eque

ncy

for t

he la

nd-u

se g

roup

. For

som

e co

mpo

unds

, mor

e th

an o

ne a

naly

tical

met

hod

was

use

d to

repo

rt de

tect

ion

freq

uenc

ies;

in th

ese

case

s, th

e “m

ain”

met

hod

by w

hich

mos

t sam

ples

wer

e an

alyz

ed w

as u

sed

to

repo

rt de

tect

ion

freq

uenc

y. If

det

ectio

n fr

eque

ncie

s fro

m a

sim

ilar n

umbe

r of s

ites o

r net

wor

ks w

ere

repo

rted

unde

r tw

o di

ffere

nt m

etho

ds, t

he d

etec

tion

freq

uenc

ies w

ere

aver

aged

. Dat

a fr

om m

ultip

le a

naly

tical

m

etho

ds u

sing

liqu

id c

hrom

atog

raph

y (L

C) w

ere

aggr

egat

ed, a

s wer

e da

ta fr

om g

as c

hrom

atog

raph

y (G

C) m

etho

ds; d

ata

from

LC

and

GC

met

hods

wer

e no

t com

bine

d to

geth

er. A

bbre

viat

ions

: CA

S, C

hem

ical

A

bstra

cts S

ervi

ce; N

AV, n

ot a

vaila

ble;

–, n

one]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Stre

ams

Gro

undw

ater

Agr

icul

tura

lU

rban

Agr

icul

tura

lU

rban

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of s

ites

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of s

ites

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of w

ell

netw

orks

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of w

ell

netw

orks

1,4-

Nap

thaq

uino

ne13

0-15

-43.

199

3.43

90

7–

–1-

Nap

htho

l90

-15-

34

2014

.65

160

150

62-

(4-te

rt-b

utyl

phen

oxy)

-cyc

lohe

xano

l19

42-7

1-8

12.6

89

0.46

90

7–

–2,

4,5-

T (2

,4,5

-Tric

hlor

ophe

noxy

acet

ic a

cid)

93-7

6-5

0.04

620

190.

0842

022

2,4,

5-TP

(2-[

2,4,

5-Tr

ichl

orop

heno

xy]

prop

ioni

c ac

id)

93-7

2-1

062

019

0.08

420

22

2,4-

D (2

,4-D

ichl

orop

heno

xy a

cetic

aci

d)94

-75-

726

.83

8933

.88

400.

5659

1.29

342,

4-D

met

hyl e

ster

1928

-38-

711

.76

279.

0121

0.42

171.

4412

2,4-

DB

(4-[

2,4-

Dic

hlor

ophe

noxy

]but

yric

ac

id)

94-8

2-6

0.19

890.

1340

0.00

590

34

2,5-

Dic

hlor

oani

line

95-8

2-9

09

3.77

90

7–

–2,

6-D

ieth

ylan

iline

579-

66-8

1.92

830.

0930

1.28

510.

1832

2-A

min

o-N

-isop

ropy

lben

zam

ide

3039

1-89

-00.

469

09

07

––

2-C

hlor

o-2,

6-di

ethy

lace

tani

lide

6967

-29-

90.

4120

0.5

160

150

62-

Ethy

l-6-m

ethy

lani

line

2454

9-06

-23.

0820

016

2.35

150.

836

2-H

ydro

xyat

razi

ne21

63-6

8-0

67.7

3420

.81

2015

.53

2110

.95

123-

(4-c

hlor

ophe

nyl)-

1-m

ethy

l ure

a53

52-8

8-5

3.60

270.

1821

0.78

170.

3212

3-(T

rifluo

rom

ethy

l)ani

line

98-1

6-8

3.82

150.

2610

3.87

9–

–3-

(Trifl

uoro

met

hyl)p

heny

lure

a13

114-

87-9

0.83

60

11.

562

––

3,4-

Dic

hlor

oani

line

95-7

6-1

35.2

420

32.0

816

4.61

151.

366

3,5-

Dic

hlor

oani

line

626-

43-7

1.44

181.

8115

211

1.85

53-

Hyd

roxy

carb

ofur

an16

655-

82-6

0.24

890.

0640

059

034

3-K

etoc

arbo

fura

n16

709-

30-1

1.49

230

170

170

9

Tabl

e 7–

1.

Dete

ctio

n fre

quen

cies

in a

gric

ultu

ral a

nd u

rban

sur

face

wat

er a

nd g

roun

dwat

er fr

om th

e N

atio

nal W

ater

-Qua

lity

Asse

ssm

ent (

NAW

QA) P

rogr

am m

onito

ring

stud

ies,

19

93–2

006.

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Det

ectio

n fr

eque

ncie

s for

stre

ams w

ere

calc

ulat

ed b

y fir

st d

eter

min

ing

dete

ctio

n fr

eque

ncy

by si

te (m

inim

um o

f 12

sam

ples

per

site

), th

en p

oolin

g si

tes b

y la

nd-u

se g

roup

, and

fina

lly c

alcu

latin

g a

site

-wei

ghte

d de

tect

ion

freq

uenc

y fo

r the

land

-use

gro

up. D

etec

tion

freq

uenc

ies f

or g

roun

dwat

er w

ere

calc

ulat

ed b

y fir

st d

eter

min

ing

dete

ctio

n fr

eque

ncy

for a

wel

l, th

en p

oolin

g w

ells

by

netw

ork

(min

imum

of 1

2 w

ells

per

net

wor

k),

follo

wed

by

calc

ulat

ing

the

site

-wei

ghte

d m

ean

dete

ctio

n fr

eque

ncy

for t

he n

etw

ork,

then

poo

ling

netw

orks

by

land

-use

gro

up, a

nd fi

nally

cal

cula

ting

a si

te a

nd n

etw

ork

wei

ghte

d m

ean

dete

ctio

n fr

eque

ncy

for t

he la

nd-u

se g

roup

. For

som

e co

mpo

unds

, mor

e th

an o

ne a

naly

tical

met

hod

was

use

d to

repo

rt de

tect

ion

freq

uenc

ies;

in th

ese

case

s, th

e “m

ain”

met

hod

by w

hich

mos

t sam

ples

wer

e an

alyz

ed w

as u

sed

to

repo

rt de

tect

ion

freq

uenc

y. If

det

ectio

n fr

eque

ncie

s fro

m a

sim

ilar n

umbe

r of s

ites o

r net

wor

ks w

ere

repo

rted

unde

r tw

o di

ffere

nt m

etho

ds, t

he d

etec

tion

freq

uenc

ies w

ere

aver

aged

. Dat

a fr

om m

ultip

le a

naly

tical

m

etho

ds u

sing

liqu

id c

hrom

atog

raph

y (L

C) w

ere

aggr

egat

ed, a

s wer

e da

ta fr

om g

as c

hrom

atog

raph

y (G

C) m

etho

ds; d

ata

from

LC

and

GC

met

hods

wer

e no

t com

bine

d to

geth

er. A

bbre

viat

ions

: CA

S, C

hem

ical

A

bstra

cts S

ervi

ce; N

AV, n

ot a

vaila

ble;

–, n

one]

Page 193: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 7. 179Ta

ble

7–1.

De

tect

ion

frequ

enci

es in

agr

icul

tura

l and

urb

an s

urfa

ce w

ater

and

gro

undw

ater

from

the

Nat

iona

l Wat

er-Q

ualit

y As

sess

men

t (N

AWQA

) Pro

gram

mon

itorin

g st

udie

s,

1993

–200

6.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Det

ectio

n fr

eque

ncie

s for

stre

ams w

ere

calc

ulat

ed b

y fir

st d

eter

min

ing

dete

ctio

n fr

eque

ncy

by si

te (m

inim

um o

f 12

sam

ples

per

site

), th

en p

oolin

g si

tes b

y la

nd-u

se g

roup

, and

fina

lly c

alcu

latin

g a

site

-wei

ghte

d de

tect

ion

freq

uenc

y fo

r the

land

-use

gro

up. D

etec

tion

freq

uenc

ies f

or g

roun

dwat

er w

ere

calc

ulat

ed b

y fir

st d

eter

min

ing

dete

ctio

n fr

eque

ncy

for a

wel

l, th

en p

oolin

g w

ells

by

netw

ork

(min

imum

of 1

2 w

ells

per

net

wor

k),

follo

wed

by

calc

ulat

ing

the

site

-wei

ghte

d m

ean

dete

ctio

n fr

eque

ncy

for t

he n

etw

ork,

then

poo

ling

netw

orks

by

land

-use

gro

up, a

nd fi

nally

cal

cula

ting

a si

te a

nd n

etw

ork

wei

ghte

d m

ean

dete

ctio

n fr

eque

ncy

for t

he la

nd-u

se g

roup

. For

som

e co

mpo

unds

, mor

e th

an o

ne a

naly

tical

met

hod

was

use

d to

repo

rt de

tect

ion

freq

uenc

ies;

in th

ese

case

s, th

e “m

ain”

met

hod

by w

hich

mos

t sam

ples

wer

e an

alyz

ed w

as u

sed

to

repo

rt de

tect

ion

freq

uenc

y. If

det

ectio

n fr

eque

ncie

s fro

m a

sim

ilar n

umbe

r of s

ites o

r net

wor

ks w

ere

repo

rted

unde

r tw

o di

ffere

nt m

etho

ds, t

he d

etec

tion

freq

uenc

ies w

ere

aver

aged

. Dat

a fr

om m

ultip

le a

naly

tical

m

etho

ds u

sing

liqu

id c

hrom

atog

raph

y (L

C) w

ere

aggr

egat

ed, a

s wer

e da

ta fr

om g

as c

hrom

atog

raph

y (G

C) m

etho

ds; d

ata

from

LC

and

GC

met

hods

wer

e no

t com

bine

d to

geth

er. A

bbre

viat

ions

: CA

S, C

hem

ical

A

bstra

cts S

ervi

ce; N

AV, n

ot a

vaila

ble;

–, n

one]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Stre

ams

Gro

undw

ater

Agr

icul

tura

lU

rban

Agr

icul

tura

lU

rban

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of s

ites

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of s

ites

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of w

ell

netw

orks

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of w

ell

netw

orks

4-C

hlor

o-2-

met

hylp

heno

l15

70-6

4-5

1.04

2015

.55

160

153.

396

4-C

hlor

oben

zylm

ethy

l sul

fone

98-5

7-7

09

0.46

90

2–

–A

ceto

chlo

r34

256-

82-1

28.7

990

3.92

300.

2845

0.49

27A

ceto

chlo

r eth

ane

sulfo

nic

acid

(ESA

)18

7022

-11-

350

.14

25–

–6.

2712

1.04

2A

ceto

chlo

r oxa

nilic

aci

d (O

A)

1849

92-4

4-4

33.7

725

––

3.15

122.

092

Ace

toch

lor s

ulfy

nila

cetic

aci

d (S

AA

)N

AV15

.91

8–

–0

4–

–A

ceto

chlo

r/Met

olac

hlor

ESA

, sec

onda

ry

amid

eN

AV40

.83

5–

–0

1–

2-C

hlor

o-N

-(2-

ethy

l-6-

met

hylp

heny

l)ac

etam

ide

(Ace

toch

lor/M

etol

achl

or,

seco

ndar

y am

ide)

3242

8-71

-00

2–

–0

1–

Aci

fluor

fen

5059

4-66

-63.

9587

0.27

390.

2659

0.23

34A

lach

lor

1597

2-60

-834

.44

101

5.83

312.

5751

0.43

32A

lach

lor E

SA, s

econ

dary

am

ide

NAV

6.58

5–

–0

1–

–A

lach

lor E

SA14

2363

-53-

979

.38

25–

–32

.18

1230

.84

2A

lach

lor O

A17

1262

-17-

223

.22

25–

–7.

9512

9.79

2A

lach

lor S

AA

1409

39-1

6-8

2.2

8–

–0

4–

–A

lach

lor,

seco

ndar

y am

ide

NAV

2.28

2–

–0

1–

–A

ldic

arb

116-

06-3

0.11

890.

0640

0.07

590

34A

ldic

arb

sulfo

ne16

46-8

8-4

0.71

890.

2040

1.07

590

34A

ldic

arb

sulfo

xide

1646

-87-

31.

4588

040

1.36

590

34al

pha-

Endo

sulfa

n95

9-98

-80.

3518

015

011

05

alph

a-H

CH

(alp

ha-H

exac

hlor

ocyc

lohe

xane

)31

9-84

-60.

2383

0.05

300.

0151

032

Page 194: Prioritizing Pesticide Compounds for Analytical Methods

180 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

7–1.

De

tect

ion

frequ

enci

es in

agr

icul

tura

l and

urb

an s

urfa

ce w

ater

and

gro

undw

ater

from

the

Nat

iona

l Wat

er-Q

ualit

y As

sess

men

t (N

AWQA

) Pro

gram

mon

itorin

g st

udie

s,

1993

–200

6.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Det

ectio

n fr

eque

ncie

s for

stre

ams w

ere

calc

ulat

ed b

y fir

st d

eter

min

ing

dete

ctio

n fr

eque

ncy

by si

te (m

inim

um o

f 12

sam

ples

per

site

), th

en p

oolin

g si

tes b

y la

nd-u

se g

roup

, and

fina

lly c

alcu

latin

g a

site

-wei

ghte

d de

tect

ion

freq

uenc

y fo

r the

land

-use

gro

up. D

etec

tion

freq

uenc

ies f

or g

roun

dwat

er w

ere

calc

ulat

ed b

y fir

st d

eter

min

ing

dete

ctio

n fr

eque

ncy

for a

wel

l, th

en p

oolin

g w

ells

by

netw

ork

(min

imum

of 1

2 w

ells

per

net

wor

k),

follo

wed

by

calc

ulat

ing

the

site

-wei

ghte

d m

ean

dete

ctio

n fr

eque

ncy

for t

he n

etw

ork,

then

poo

ling

netw

orks

by

land

-use

gro

up, a

nd fi

nally

cal

cula

ting

a si

te a

nd n

etw

ork

wei

ghte

d m

ean

dete

ctio

n fr

eque

ncy

for t

he la

nd-u

se g

roup

. For

som

e co

mpo

unds

, mor

e th

an o

ne a

naly

tical

met

hod

was

use

d to

repo

rt de

tect

ion

freq

uenc

ies;

in th

ese

case

s, th

e “m

ain”

met

hod

by w

hich

mos

t sam

ples

wer

e an

alyz

ed w

as u

sed

to

repo

rt de

tect

ion

freq

uenc

y. If

det

ectio

n fr

eque

ncie

s fro

m a

sim

ilar n

umbe

r of s

ites o

r net

wor

ks w

ere

repo

rted

unde

r tw

o di

ffere

nt m

etho

ds, t

he d

etec

tion

freq

uenc

ies w

ere

aver

aged

. Dat

a fr

om m

ultip

le a

naly

tical

m

etho

ds u

sing

liqu

id c

hrom

atog

raph

y (L

C) w

ere

aggr

egat

ed, a

s wer

e da

ta fr

om g

as c

hrom

atog

raph

y (G

C) m

etho

ds; d

ata

from

LC

and

GC

met

hods

wer

e no

t com

bine

d to

geth

er. A

bbre

viat

ions

: CA

S, C

hem

ical

A

bstra

cts S

ervi

ce; N

AV, n

ot a

vaila

ble;

–, n

one]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Stre

ams

Gro

undw

ater

Agr

icul

tura

lU

rban

Agr

icul

tura

lU

rban

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of s

ites

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of s

ites

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of w

ell

netw

orks

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of w

ell

netw

orks

Am

etry

n83

4-12

-83.

7311

––

04

01

Am

inom

ethy

lpho

spho

nic

acid

1066

-51-

950

.20

1344

.84

61.

116

8.34

2A

trazi

ne19

12-2

4-9

89.5

710

171

.47

3043

.29

5129

.25

32A

zinp

hos-

met

hyl

86-5

0-0

3.11

830.

7530

0.16

510

32A

zinp

hos-

met

hyl-o

xon

961-

22-8

0.47

200

160

150

6B

endi

ocar

b22

781-

23-3

2.59

270.

5121

017

012

Ben

flura

lin18

61-4

0-1

0.63

833.

6730

0.1

510.

1732

Ben

omyl

1780

4-35

-210

.22

2711

.57

211.

9617

0.63

12B

ensu

lfuro

n-m

ethy

l83

055-

99-6

8.41

270

210

172.

0112

Ben

tazo

n25

057-

89-0

25.4

689

5.28

404.

0459

2.43

34be

ta-E

ndos

ulfa

n33

213-

65-9

4.17

90

90

7–

–B

ifent

hrin

8265

7-04

-30

90

90

7–

–B

rom

acil

314-

40-9

3.46

898.

2240

2.66

593.

5334

Bro

mox

ynil

1689

-84-

51.

8989

0.32

400.

0659

034

But

ylat

e20

08-4

1-5

4.33

830.

1930

0.23

510.

2332

Caf

fein

e 1

58-0

8-2

35.0

127

77.9

321

13.1

617

11.7

712

Car

bary

l63

-25-

211

.98

8355

.66

300.

5751

1.35

32C

arbo

fura

n15

63-6

6-2

12.8

983

1.68

302.

0751

0.69

32C

hlor

ambe

n m

ethy

l72

86-8

4-2

0.07

890.

1139

059

034

Chl

orim

uron

-eth

yl90

982-

32-4

5.02

270.

3121

0.56

170

12C

hlor

otha

loni

l18

97-4

5-6

0.18

851.

2936

059

0.21

31C

hlor

pyrif

os29

21-8

8-2

13.2

983

22.6

530

0.77

510.

4532

Chl

orpy

rifos

oxy

gen

anal

og55

98-1

5-2

0.26

200

160

150

6

Page 195: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 7. 181Ta

ble

7–1.

De

tect

ion

frequ

enci

es in

agr

icul

tura

l and

urb

an s

urfa

ce w

ater

and

gro

undw

ater

from

the

Nat

iona

l Wat

er-Q

ualit

y As

sess

men

t (N

AWQA

) Pro

gram

mon

itorin

g st

udie

s,

1993

–200

6.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Det

ectio

n fr

eque

ncie

s for

stre

ams w

ere

calc

ulat

ed b

y fir

st d

eter

min

ing

dete

ctio

n fr

eque

ncy

by si

te (m

inim

um o

f 12

sam

ples

per

site

), th

en p

oolin

g si

tes b

y la

nd-u

se g

roup

, and

fina

lly c

alcu

latin

g a

site

-wei

ghte

d de

tect

ion

freq

uenc

y fo

r the

land

-use

gro

up. D

etec

tion

freq

uenc

ies f

or g

roun

dwat

er w

ere

calc

ulat

ed b

y fir

st d

eter

min

ing

dete

ctio

n fr

eque

ncy

for a

wel

l, th

en p

oolin

g w

ells

by

netw

ork

(min

imum

of 1

2 w

ells

per

net

wor

k),

follo

wed

by

calc

ulat

ing

the

site

-wei

ghte

d m

ean

dete

ctio

n fr

eque

ncy

for t

he n

etw

ork,

then

poo

ling

netw

orks

by

land

-use

gro

up, a

nd fi

nally

cal

cula

ting

a si

te a

nd n

etw

ork

wei

ghte

d m

ean

dete

ctio

n fr

eque

ncy

for t

he la

nd-u

se g

roup

. For

som

e co

mpo

unds

, mor

e th

an o

ne a

naly

tical

met

hod

was

use

d to

repo

rt de

tect

ion

freq

uenc

ies;

in th

ese

case

s, th

e “m

ain”

met

hod

by w

hich

mos

t sam

ples

wer

e an

alyz

ed w

as u

sed

to

repo

rt de

tect

ion

freq

uenc

y. If

det

ectio

n fr

eque

ncie

s fro

m a

sim

ilar n

umbe

r of s

ites o

r net

wor

ks w

ere

repo

rted

unde

r tw

o di

ffere

nt m

etho

ds, t

he d

etec

tion

freq

uenc

ies w

ere

aver

aged

. Dat

a fr

om m

ultip

le a

naly

tical

m

etho

ds u

sing

liqu

id c

hrom

atog

raph

y (L

C) w

ere

aggr

egat

ed, a

s wer

e da

ta fr

om g

as c

hrom

atog

raph

y (G

C) m

etho

ds; d

ata

from

LC

and

GC

met

hods

wer

e no

t com

bine

d to

geth

er. A

bbre

viat

ions

: CA

S, C

hem

ical

A

bstra

cts S

ervi

ce; N

AV, n

ot a

vaila

ble;

–, n

one]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Stre

ams

Gro

undw

ater

Agr

icul

tura

lU

rban

Agr

icul

tura

lU

rban

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of s

ites

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of s

ites

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of w

ell

netw

orks

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of w

ell

netw

orks

cis-

Met

hyl-3

-(2,

2-di

chlo

rovi

nyl)-

2,2-

dim

ethy

l-(1-

cycl

opro

pane

)-ca

rbox

ylat

ec6

1898

-95-

10

90

90

7–

cis-

Perm

ethr

in54

774-

45-7

0.18

830.

130

0.1

510

32ci

s-Pr

opic

onaz

ole

c602

07-9

0-1

12.8

418

15.8

515

0.36

110.

745

Clo

pyra

lid17

02-1

7-6

1.43

891.

6740

0.08

590

34C

yana

zine

2172

5-46

-239

.89

101

3.10

311.

1951

0.88

32C

yana

zine

am

ide

NAV

27.7

56

2.63

10

5–

–C

yclo

ate

1134

-23-

22.

0627

027

011

0.93

12C

yflut

hrin

6835

9-37

-50

200

160

150

6C

yhal

othr

in-la

mbd

a91

465-

08-6

018

015

011

05

Cyp

erm

ethr

in52

315-

07-8

020

0.37

160

150

6D

acth

al18

61-3

2-1

11.5

283

20.8

230

0.71

510.

4932

Dac

thal

mon

oaci

d88

7-54

-70.

3288

0.18

400.

0659

034

Dec

hlor

oace

toch

lor

NAV

02

––

01

––

Dec

hlor

oala

chlo

rN

AV0

2–

–0

1–

–D

echl

orod

imet

hena

mid

NAV

02

––

01

––

Dec

hlor

omet

olac

hlor

NAV

8.34

2–

–0

1–

–D

eeth

ylat

razi

ne61

90-6

5-4

80.4

210

148

.71

3145

.49

5130

.63

32D

eiso

prop

yl p

rom

etry

nN

AV0.

286

2.63

10

2–

–D

eiso

prop

ylat

razi

ne10

07-2

8-9

39.5

427

13.9

2127

.96

1715

.41

12D

emet

hyl fl

uom

etur

onN

AV37

.87

62.

71

16.4

12

––

Dem

ethy

l nor

flura

zon

NAV

50.7

46

01

24.2

22

––

Des

ulfin

ylfip

roni

l (M

B46

513)

NAV

14.8

438

29.8

920

016

0.52

8

Page 196: Prioritizing Pesticide Compounds for Analytical Methods

182 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

7–1.

De

tect

ion

frequ

enci

es in

agr

icul

tura

l and

urb

an s

urfa

ce w

ater

and

gro

undw

ater

from

the

Nat

iona

l Wat

er-Q

ualit

y As

sess

men

t (N

AWQA

) Pro

gram

mon

itorin

g st

udie

s,

1993

–200

6.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Det

ectio

n fr

eque

ncie

s for

stre

ams w

ere

calc

ulat

ed b

y fir

st d

eter

min

ing

dete

ctio

n fr

eque

ncy

by si

te (m

inim

um o

f 12

sam

ples

per

site

), th

en p

oolin

g si

tes b

y la

nd-u

se g

roup

, and

fina

lly c

alcu

latin

g a

site

-wei

ghte

d de

tect

ion

freq

uenc

y fo

r the

land

-use

gro

up. D

etec

tion

freq

uenc

ies f

or g

roun

dwat

er w

ere

calc

ulat

ed b

y fir

st d

eter

min

ing

dete

ctio

n fr

eque

ncy

for a

wel

l, th

en p

oolin

g w

ells

by

netw

ork

(min

imum

of 1

2 w

ells

per

net

wor

k),

follo

wed

by

calc

ulat

ing

the

site

-wei

ghte

d m

ean

dete

ctio

n fr

eque

ncy

for t

he n

etw

ork,

then

poo

ling

netw

orks

by

land

-use

gro

up, a

nd fi

nally

cal

cula

ting

a si

te a

nd n

etw

ork

wei

ghte

d m

ean

dete

ctio

n fr

eque

ncy

for t

he la

nd-u

se g

roup

. For

som

e co

mpo

unds

, mor

e th

an o

ne a

naly

tical

met

hod

was

use

d to

repo

rt de

tect

ion

freq

uenc

ies;

in th

ese

case

s, th

e “m

ain”

met

hod

by w

hich

mos

t sam

ples

wer

e an

alyz

ed w

as u

sed

to

repo

rt de

tect

ion

freq

uenc

y. If

det

ectio

n fr

eque

ncie

s fro

m a

sim

ilar n

umbe

r of s

ites o

r net

wor

ks w

ere

repo

rted

unde

r tw

o di

ffere

nt m

etho

ds, t

he d

etec

tion

freq

uenc

ies w

ere

aver

aged

. Dat

a fr

om m

ultip

le a

naly

tical

m

etho

ds u

sing

liqu

id c

hrom

atog

raph

y (L

C) w

ere

aggr

egat

ed, a

s wer

e da

ta fr

om g

as c

hrom

atog

raph

y (G

C) m

etho

ds; d

ata

from

LC

and

GC

met

hods

wer

e no

t com

bine

d to

geth

er. A

bbre

viat

ions

: CA

S, C

hem

ical

A

bstra

cts S

ervi

ce; N

AV, n

ot a

vaila

ble;

–, n

one]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Stre

ams

Gro

undw

ater

Agr

icul

tura

lU

rban

Agr

icul

tura

lU

rban

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of s

ites

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of s

ites

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of w

ell

netw

orks

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of w

ell

netw

orks

Des

ulfin

ylfip

roni

l am

ide

(RPA

105

048)

NAV

8.81

3811

.42

200.

1117

08

Dia

zino

n33

3-41

-515

.09

8367

.44

300.

4351

1.31

32D

iazi

non

oxyg

en a

nalo

g96

2-58

-30

150.

497

011

06

Dic

amba

1918

-00-

93.

9289

3.35

400.

2859

0.59

34D

ichl

oben

il11

94-6

5-6

0.26

624.

3119

0.09

420.

3822

Dic

hlor

prop

120-

36-5

0.38

891.

3940

0.16

590.

2234

Dic

hlor

vos

62-7

3-7

0.21

209.

0616

014

06

Dic

roto

phos

141-

66-2

2.2

200.

2816

015

06

Did

ealk

ylat

razi

ne33

97-6

2-4

30.9

725

16.5

621

24.8

117

16.8

411

Die

ldrin

60-5

7-1

3.62

833.

4930

1.2

515.

3332

Dim

ethe

nam

id87

674-

68-8

19.9

95

––

02

––

Dim

ethe

nam

id E

SAN

AV13

.74

15–

–0.

938

––

Dim

ethe

nam

id O

AN

AV4.

7615

––

08

––

Dim

etho

ate

60-5

1-5

2.6

200.

8616

015

06

Din

oseb

88-8

5-7

3.40

870.

9440

1.85

590

34D

iphe

nam

id95

7-51

-76.

9627

421

017

1.77

12D

isul

foto

n29

8-04

-40.

3383

0.15

300

510

32D

isul

foto

n su

lfone

2497

-06-

56.

2218

8.1

150

110

5D

isul

foto

n su

lfoxi

de24

97-0

7-6

0.97

90.

829

07

––

Diu

ron

330-

54-1

24.6

189

45.1

740

5.90

593.

8234

DN

OC

(4,6

-Din

itro-

o-cr

esol

)53

4-52

-10.

0662

0.24

190

420.

1522

E-D

imet

hom

orph

e110

488-

70-5

1.48

90

90

7–

–En

dosu

lfan

ethe

r33

69-5

2-6

09

09

07

––

Endo

sulfa

n su

lfate

1031

-07-

88.

1818

015

011

05

Page 197: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 7. 183Ta

ble

7–1.

De

tect

ion

frequ

enci

es in

agr

icul

tura

l and

urb

an s

urfa

ce w

ater

and

gro

undw

ater

from

the

Nat

iona

l Wat

er-Q

ualit

y As

sess

men

t (N

AWQA

) Pro

gram

mon

itorin

g st

udie

s,

1993

–200

6.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Det

ectio

n fr

eque

ncie

s for

stre

ams w

ere

calc

ulat

ed b

y fir

st d

eter

min

ing

dete

ctio

n fr

eque

ncy

by si

te (m

inim

um o

f 12

sam

ples

per

site

), th

en p

oolin

g si

tes b

y la

nd-u

se g

roup

, and

fina

lly c

alcu

latin

g a

site

-wei

ghte

d de

tect

ion

freq

uenc

y fo

r the

land

-use

gro

up. D

etec

tion

freq

uenc

ies f

or g

roun

dwat

er w

ere

calc

ulat

ed b

y fir

st d

eter

min

ing

dete

ctio

n fr

eque

ncy

for a

wel

l, th

en p

oolin

g w

ells

by

netw

ork

(min

imum

of 1

2 w

ells

per

net

wor

k),

follo

wed

by

calc

ulat

ing

the

site

-wei

ghte

d m

ean

dete

ctio

n fr

eque

ncy

for t

he n

etw

ork,

then

poo

ling

netw

orks

by

land

-use

gro

up, a

nd fi

nally

cal

cula

ting

a si

te a

nd n

etw

ork

wei

ghte

d m

ean

dete

ctio

n fr

eque

ncy

for t

he la

nd-u

se g

roup

. For

som

e co

mpo

unds

, mor

e th

an o

ne a

naly

tical

met

hod

was

use

d to

repo

rt de

tect

ion

freq

uenc

ies;

in th

ese

case

s, th

e “m

ain”

met

hod

by w

hich

mos

t sam

ples

wer

e an

alyz

ed w

as u

sed

to

repo

rt de

tect

ion

freq

uenc

y. If

det

ectio

n fr

eque

ncie

s fro

m a

sim

ilar n

umbe

r of s

ites o

r net

wor

ks w

ere

repo

rted

unde

r tw

o di

ffere

nt m

etho

ds, t

he d

etec

tion

freq

uenc

ies w

ere

aver

aged

. Dat

a fr

om m

ultip

le a

naly

tical

m

etho

ds u

sing

liqu

id c

hrom

atog

raph

y (L

C) w

ere

aggr

egat

ed, a

s wer

e da

ta fr

om g

as c

hrom

atog

raph

y (G

C) m

etho

ds; d

ata

from

LC

and

GC

met

hods

wer

e no

t com

bine

d to

geth

er. A

bbre

viat

ions

: CA

S, C

hem

ical

A

bstra

cts S

ervi

ce; N

AV, n

ot a

vaila

ble;

–, n

one]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Stre

ams

Gro

undw

ater

Agr

icul

tura

lU

rban

Agr

icul

tura

lU

rban

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of s

ites

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of s

ites

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of w

ell

netw

orks

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of w

ell

netw

orks

EPTC

(S-E

thyl

dip

ropy

lthio

carb

amat

e)75

9-94

-417

.94

835.

6430

0.88

510.

4632

Etha

lflur

alin

5528

3-68

-61.

5283

030

0.12

510

32Et

hion

563-

12-2

020

016

015

06

Ethi

on m

onox

on17

356-

42-2

020

016

015

06

Etho

prop

1319

4-48

-42.

9183

1.13

300.

0451

032

Fena

mip

hos

2222

4-92

-60

201.

3216

015

06

Fena

mip

hos s

ulfo

ne31

972-

44-8

020

0.5

160

150

6Fe

nam

ipho

s sul

foxi

de31

972-

43-7

019

0.31

160

150

6Fe

nthi

on55

-38-

90

90

80

7–

–Fe

nthi

on su

lfoxi

de37

61-4

1-9

09

09

07

––

Fenu

ron

101-

42-8

0.53

890.

1940

0.15

590.

6034

Fipr

onil

1200

68-3

7-3

14.2

738

34.0

620

017

0.17

8Fi

pron

il su

lfide

1200

67-8

3-6

13.0

438

21.3

920

016

0.52

8Fi

pron

il su

lfone

1200

68-3

6-2

11.4

238

17.1

220

0.11

170.

938

Fluf

enac

et14

2459

-58-

34

5–

–0

1–

–Fl

ufen

acet

ESA

NAV

2.33

15–

–0

8–

–Fl

ufen

acet

OA

NAV

1.11

15–

–0.

438

––

Flum

etra

lin62

924-

70-3

09

09

07

––

Flum

etsu

lam

9896

7-40

-94.

127

1.31

211.

6217

1.74

12Fl

uom

etur

on21

64-1

7-2

11.3

189

0.69

403.

3059

0.53

34Fo

nofo

s94

4-22

-94.

2483

0.55

300

510

32ga

mm

a-H

CH

58-8

9-9

0.99

832.

3930

––

––

Glu

fosi

nate

5127

6-47

-20.

3213

06

07

02

Page 198: Prioritizing Pesticide Compounds for Analytical Methods

184 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

7–1.

De

tect

ion

frequ

enci

es in

agr

icul

tura

l and

urb

an s

urfa

ce w

ater

and

gro

undw

ater

from

the

Nat

iona

l Wat

er-Q

ualit

y As

sess

men

t (N

AWQA

) Pro

gram

mon

itorin

g st

udie

s,

1993

–200

6.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Det

ectio

n fr

eque

ncie

s for

stre

ams w

ere

calc

ulat

ed b

y fir

st d

eter

min

ing

dete

ctio

n fr

eque

ncy

by si

te (m

inim

um o

f 12

sam

ples

per

site

), th

en p

oolin

g si

tes b

y la

nd-u

se g

roup

, and

fina

lly c

alcu

latin

g a

site

-wei

ghte

d de

tect

ion

freq

uenc

y fo

r the

land

-use

gro

up. D

etec

tion

freq

uenc

ies f

or g

roun

dwat

er w

ere

calc

ulat

ed b

y fir

st d

eter

min

ing

dete

ctio

n fr

eque

ncy

for a

wel

l, th

en p

oolin

g w

ells

by

netw

ork

(min

imum

of 1

2 w

ells

per

net

wor

k),

follo

wed

by

calc

ulat

ing

the

site

-wei

ghte

d m

ean

dete

ctio

n fr

eque

ncy

for t

he n

etw

ork,

then

poo

ling

netw

orks

by

land

-use

gro

up, a

nd fi

nally

cal

cula

ting

a si

te a

nd n

etw

ork

wei

ghte

d m

ean

dete

ctio

n fr

eque

ncy

for t

he la

nd-u

se g

roup

. For

som

e co

mpo

unds

, mor

e th

an o

ne a

naly

tical

met

hod

was

use

d to

repo

rt de

tect

ion

freq

uenc

ies;

in th

ese

case

s, th

e “m

ain”

met

hod

by w

hich

mos

t sam

ples

wer

e an

alyz

ed w

as u

sed

to

repo

rt de

tect

ion

freq

uenc

y. If

det

ectio

n fr

eque

ncie

s fro

m a

sim

ilar n

umbe

r of s

ites o

r net

wor

ks w

ere

repo

rted

unde

r tw

o di

ffere

nt m

etho

ds, t

he d

etec

tion

freq

uenc

ies w

ere

aver

aged

. Dat

a fr

om m

ultip

le a

naly

tical

m

etho

ds u

sing

liqu

id c

hrom

atog

raph

y (L

C) w

ere

aggr

egat

ed, a

s wer

e da

ta fr

om g

as c

hrom

atog

raph

y (G

C) m

etho

ds; d

ata

from

LC

and

GC

met

hods

wer

e no

t com

bine

d to

geth

er. A

bbre

viat

ions

: CA

S, C

hem

ical

A

bstra

cts S

ervi

ce; N

AV, n

ot a

vaila

ble;

–, n

one]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Stre

ams

Gro

undw

ater

Agr

icul

tura

lU

rban

Agr

icul

tura

lU

rban

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of s

ites

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of s

ites

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of w

ell

netw

orks

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of w

ell

netw

orks

Gly

phos

ate

1071

-83-

638

.10

1321

.87

61.

557

02

Hex

azin

one

5123

5-04

-220

.19

208.

8916

4.96

153.

56

Hyd

roxy

acet

ochl

or60

090-

47-3

2.28

2–

–0

1–

–H

ydro

xyal

achl

orN

AV0

2–

–0

1–

–H

ydro

xydi

met

hana

mid

NAV

02

––

01

––

Hyd

roxy

met

olac

hlor

1310

68-7

2-9

22.4

82

––

01

––

Imaz

aqui

n81

335-

37-7

13.1

427

13.3

521

3.2

174.

4212

Imaz

etha

pyr

8133

5-77

-515

.23

252.

221

3.85

171.

0512

Imid

aclo

prid

1382

61-4

1-3

3.1

276.

9821

0.94

172.

4212

Ipro

dion

e36

734-

19-7

3.69

202.

0216

015

06

Isof

enph

os25

311-

71-1

020

016

015

0.31

6Li

nuro

n33

0-55

-23.

3583

0.08

300.

2651

032

Mal

aoxo

n16

34-7

8-2

020

0.23

160

150.

336

Mal

athi

on12

1-75

-55.

4383

16.4

730

0.46

510.

2132

MC

PA (2

-Met

hyl-4

- ch

loro

phen

oxya

cetic

aci

d)94

-74-

63.

6987

10.8

540

059

0.40

34

MC

PB (4

-[4-

Chl

oro-

2-m

ethy

lphe

noxy

]bu

tano

ic a

cid)

94-8

1-5

0.05

890

400

590

34

Met

alax

yl57

837-

19-1

33.4

327

6.88

212.

5317

1.39

12M

ethi

dath

ion

950-

37-8

0.7

200

160

150

6M

ethi

ocar

b20

32-6

5-7

0.12

890.

0640

0.03

590

34M

etho

myl

1675

2-77

-51.

3989

0.39

400.

1859

0.10

34M

etol

achl

or51

218-

45-2

80.6

410

146

.71

3118

.06

518.

7832

Met

olac

hlor

ESA

1711

18-0

9-5

89.5

125

––

42.3

212

41.6

72

Page 199: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 7. 185Ta

ble

7–1.

De

tect

ion

frequ

enci

es in

agr

icul

tura

l and

urb

an s

urfa

ce w

ater

and

gro

undw

ater

from

the

Nat

iona

l Wat

er-Q

ualit

y As

sess

men

t (N

AWQA

) Pro

gram

mon

itorin

g st

udie

s,

1993

–200

6.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Det

ectio

n fr

eque

ncie

s for

stre

ams w

ere

calc

ulat

ed b

y fir

st d

eter

min

ing

dete

ctio

n fr

eque

ncy

by si

te (m

inim

um o

f 12

sam

ples

per

site

), th

en p

oolin

g si

tes b

y la

nd-u

se g

roup

, and

fina

lly c

alcu

latin

g a

site

-wei

ghte

d de

tect

ion

freq

uenc

y fo

r the

land

-use

gro

up. D

etec

tion

freq

uenc

ies f

or g

roun

dwat

er w

ere

calc

ulat

ed b

y fir

st d

eter

min

ing

dete

ctio

n fr

eque

ncy

for a

wel

l, th

en p

oolin

g w

ells

by

netw

ork

(min

imum

of 1

2 w

ells

per

net

wor

k),

follo

wed

by

calc

ulat

ing

the

site

-wei

ghte

d m

ean

dete

ctio

n fr

eque

ncy

for t

he n

etw

ork,

then

poo

ling

netw

orks

by

land

-use

gro

up, a

nd fi

nally

cal

cula

ting

a si

te a

nd n

etw

ork

wei

ghte

d m

ean

dete

ctio

n fr

eque

ncy

for t

he la

nd-u

se g

roup

. For

som

e co

mpo

unds

, mor

e th

an o

ne a

naly

tical

met

hod

was

use

d to

repo

rt de

tect

ion

freq

uenc

ies;

in th

ese

case

s, th

e “m

ain”

met

hod

by w

hich

mos

t sam

ples

wer

e an

alyz

ed w

as u

sed

to

repo

rt de

tect

ion

freq

uenc

y. If

det

ectio

n fr

eque

ncie

s fro

m a

sim

ilar n

umbe

r of s

ites o

r net

wor

ks w

ere

repo

rted

unde

r tw

o di

ffere

nt m

etho

ds, t

he d

etec

tion

freq

uenc

ies w

ere

aver

aged

. Dat

a fr

om m

ultip

le a

naly

tical

m

etho

ds u

sing

liqu

id c

hrom

atog

raph

y (L

C) w

ere

aggr

egat

ed, a

s wer

e da

ta fr

om g

as c

hrom

atog

raph

y (G

C) m

etho

ds; d

ata

from

LC

and

GC

met

hods

wer

e no

t com

bine

d to

geth

er. A

bbre

viat

ions

: CA

S, C

hem

ical

A

bstra

cts S

ervi

ce; N

AV, n

ot a

vaila

ble;

–, n

one]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Stre

ams

Gro

undw

ater

Agr

icul

tura

lU

rban

Agr

icul

tura

lU

rban

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of s

ites

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of s

ites

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of w

ell

netw

orks

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of w

ell

netw

orks

Met

olac

hlor

OA

1520

197-

33-

83.9

125

––

18.1

712

19.5

92

Met

ribuz

in21

087-

64-9

18.1

910

14.

3231

3.01

510.

8332

Met

sulfu

ron-

met

hyl

7422

3-64

-61.

5126

7.43

210.

5717

0.09

12M

olin

ate

2212

-67-

111

.65

890.

8931

0.51

510.

2132

Myc

lobu

tani

l88

671-

89-0

5.99

2011

.09

160.

315

06

Nap

ropa

mid

e15

299-

99-7

3.76

831.

1430

0.46

510

32N

ebur

on55

5-37

-30.

0389

0.15

400.

0659

034

Nic

osul

furo

n11

1991

-09-

44.

4727

0.31

210.

4317

012

Nor

flura

zon

2731

4-13

-28.

7089

1.44

393.

7059

0.31

34O

-Eth

yl-O

-met

hyl-S

-pro

pylp

hosp

horo

thio

ate

7696

0-87

-70

90

90

7–

–O

ryza

lin19

044-

88-3

0.80

892.

5140

0.06

590.

4934

Oxa

myl

2313

5-22

-00.

5389

040

0.73

590.

1034

Oxy

fluor

fen

4287

4-03

-38.

2918

015

011

05

p,pʹ

-DD

E (p

,pʹ-D

ichl

orod

iphe

nyl-

dich

loro

ethy

lene

)72

-55-

94.

3583

1.85

30–

––

Para

oxon

-eth

yl31

1-45

-50

90.

859

07

––

Para

oxon

-met

hyl

950-

35-6

020

016

015

06

Para

thio

n56

-38-

20.

1783

0.18

300

510

32Pa

rath

ion-

met

hyl

298-

00-0

1.11

830.

1130

0.05

510

32Pe

bula

te11

14-7

1-2

0.83

830.

130

0.19

510

32Pe

ndim

etha

lin40

487-

42-1

9.95

8412

.58

300.

3851

0.38

32Ph

orat

e29

8-02

-20.

1383

030

051

032

Phor

ate

oxon

2600

-69-

30

200

160

150

6Ph

osm

et73

2-11

-60

160

130

130

6

Page 200: Prioritizing Pesticide Compounds for Analytical Methods

186 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

7–1.

De

tect

ion

frequ

enci

es in

agr

icul

tura

l and

urb

an s

urfa

ce w

ater

and

gro

undw

ater

from

the

Nat

iona

l Wat

er-Q

ualit

y As

sess

men

t (N

AWQA

) Pro

gram

mon

itorin

g st

udie

s,

1993

–200

6.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

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emar

k of

the A

mer

ican

Che

mic

al S

ocie

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AS

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mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Det

ectio

n fr

eque

ncie

s for

stre

ams w

ere

calc

ulat

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y fir

st d

eter

min

ing

dete

ctio

n fr

eque

ncy

by si

te (m

inim

um o

f 12

sam

ples

per

site

), th

en p

oolin

g si

tes b

y la

nd-u

se g

roup

, and

fina

lly c

alcu

latin

g a

site

-wei

ghte

d de

tect

ion

freq

uenc

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r the

land

-use

gro

up. D

etec

tion

freq

uenc

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or g

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netw

ork

(min

imum

of 1

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ells

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k),

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ulat

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the

site

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d m

ean

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ncy

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ork,

then

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. For

som

e co

mpo

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, mor

e th

an o

ne a

naly

tical

met

hod

was

use

d to

repo

rt de

tect

ion

freq

uenc

ies;

in th

ese

case

s, th

e “m

ain”

met

hod

by w

hich

mos

t sam

ples

wer

e an

alyz

ed w

as u

sed

to

repo

rt de

tect

ion

freq

uenc

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det

ectio

n fr

eque

ncie

s fro

m a

sim

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umbe

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ites o

r net

wor

ks w

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repo

rted

unde

r tw

o di

ffere

nt m

etho

ds, t

he d

etec

tion

freq

uenc

ies w

ere

aver

aged

. Dat

a fr

om m

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naly

tical

m

etho

ds u

sing

liqu

id c

hrom

atog

raph

y (L

C) w

ere

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egat

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s wer

e da

ta fr

om g

as c

hrom

atog

raph

y (G

C) m

etho

ds; d

ata

from

LC

and

GC

met

hods

wer

e no

t com

bine

d to

geth

er. A

bbre

viat

ions

: CA

S, C

hem

ical

A

bstra

cts S

ervi

ce; N

AV, n

ot a

vaila

ble;

–, n

one]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Stre

ams

Gro

undw

ater

Agr

icul

tura

lU

rban

Agr

icul

tura

lU

rban

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of s

ites

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of s

ites

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of w

ell

netw

orks

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of w

ell

netw

orks

Phos

met

oxo

n37

35-3

3-9

015

012

012

06

Picl

oram

1918

-02-

10.

4289

0.53

400.

1559

0.38

34Pr

ofen

ofos

4119

8-08

-70

90

90

7–

–Pr

omet

on16

10-1

8-0

41.0

095

81.0

230

10.8

851

20.0

632

Prom

etry

n72

87-1

9-6

12.8

337

1.30

172.

515

0.35

6Pr

onam

ide

2395

0-58

-52.

7583

2.49

300.

251

0.02

32Pr

opac

hlor

1918

-16-

72.

6894

0.62

300.

1351

032

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achl

or E

SAN

AV0

10–

–0

5–

–Pr

opac

hlor

OA

NAV

010

––

05

––

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anil

709-

98-8

1.82

890.

7731

0.27

510.

1332

Prop

argi

te23

12-3

5-8

2.57

830.

1730

0.05

510

32Pr

opaz

ine

139-

40-2

12.2

617

01

1.15

60

1Pr

opet

amph

os31

218-

83-4

09

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90

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–Pr

opha

m12

2-42

-90.

0389

0.28

400.

0659

0.10

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opic

onaz

ole

6020

7-90

-19.

8127

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210.

4517

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12Pr

opox

ur11

4-26

-11.

3389

5.76

390.

1659

0.58

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duro

n19

82-4

9-6

0.99

2711

.02

210.

0917

0.15

12Si

maz

ine

122-

34-9

53.6

310

161

.83

3119

.23

5117

.09

32Su

lfom

etur

on-m

ethy

l74

222-

97-2

5.17

2716

.24

210.

5817

0.58

12Su

lfote

pp36

89-2

4-5

09

09

07

––

Sulp

rofo

s35

400-

43-2

09

09

07

––

Tebu

cona

zole

10

7534

-96-

36.

439

155

03

05

Tebu

pirim

fos

9618

2-53

-54.

479

09

07

––

Tebu

pirim

fos o

xyge

n an

alog

ueN

AV1.

129

09

07

––

Page 201: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 7. 187Ta

ble

7–1.

De

tect

ion

frequ

enci

es in

agr

icul

tura

l and

urb

an s

urfa

ce w

ater

and

gro

undw

ater

from

the

Nat

iona

l Wat

er-Q

ualit

y As

sess

men

t (N

AWQA

) Pro

gram

mon

itorin

g st

udie

s,

1993

–200

6.—

Cont

inue

d

[The

CA

S R

egis

try N

umbe

r® is

a re

gist

ered

trad

emar

k of

the A

mer

ican

Che

mic

al S

ocie

ty. C

AS

reco

mm

ends

the

verifi

catio

n of

the

CA

S R

egis

try N

umbe

rs th

roug

h C

AS

Clie

nt S

ervi

cesSM

. Det

ectio

n fr

eque

ncie

s for

stre

ams w

ere

calc

ulat

ed b

y fir

st d

eter

min

ing

dete

ctio

n fr

eque

ncy

by si

te (m

inim

um o

f 12

sam

ples

per

site

), th

en p

oolin

g si

tes b

y la

nd-u

se g

roup

, and

fina

lly c

alcu

latin

g a

site

-wei

ghte

d de

tect

ion

freq

uenc

y fo

r the

land

-use

gro

up. D

etec

tion

freq

uenc

ies f

or g

roun

dwat

er w

ere

calc

ulat

ed b

y fir

st d

eter

min

ing

dete

ctio

n fr

eque

ncy

for a

wel

l, th

en p

oolin

g w

ells

by

netw

ork

(min

imum

of 1

2 w

ells

per

net

wor

k),

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wed

by

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ulat

ing

the

site

-wei

ghte

d m

ean

dete

ctio

n fr

eque

ncy

for t

he n

etw

ork,

then

poo

ling

netw

orks

by

land

-use

gro

up, a

nd fi

nally

cal

cula

ting

a si

te a

nd n

etw

ork

wei

ghte

d m

ean

dete

ctio

n fr

eque

ncy

for t

he la

nd-u

se g

roup

. For

som

e co

mpo

unds

, mor

e th

an o

ne a

naly

tical

met

hod

was

use

d to

repo

rt de

tect

ion

freq

uenc

ies;

in th

ese

case

s, th

e “m

ain”

met

hod

by w

hich

mos

t sam

ples

wer

e an

alyz

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as u

sed

to

repo

rt de

tect

ion

freq

uenc

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ectio

n fr

eque

ncie

s fro

m a

sim

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umbe

r of s

ites o

r net

wor

ks w

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repo

rted

unde

r tw

o di

ffere

nt m

etho

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etec

tion

freq

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ere

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aged

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om m

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naly

tical

m

etho

ds u

sing

liqu

id c

hrom

atog

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y (L

C) w

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egat

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s wer

e da

ta fr

om g

as c

hrom

atog

raph

y (G

C) m

etho

ds; d

ata

from

LC

and

GC

met

hods

wer

e no

t com

bine

d to

geth

er. A

bbre

viat

ions

: CA

S, C

hem

ical

A

bstra

cts S

ervi

ce; N

AV, n

ot a

vaila

ble;

–, n

one]

Chem

ical

nam

eCA

S Re

gist

ry

Num

ber

Stre

ams

Gro

undw

ater

Agr

icul

tura

lU

rban

Agr

icul

tura

lU

rban

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of s

ites

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of s

ites

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of w

ell

netw

orks

Det

ectio

n fr

eque

ncy,

in

per

cent

Num

ber

of w

ell

netw

orks

Tebu

thiu

ron

3401

4-18

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28.6

031

2.21

515.

4232

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thrin

7953

8-32

-20

180

150

110

5Te

mep

hos

3383

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90

90

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–Te

rbac

il59

02-5

1-2

4.19

830.

8951

0.81

511.

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ufos

1307

1-79

-90.

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0.12

300

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ufos

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nalo

gue

sulfo

ne56

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020

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160.

5115

06

Terb

uthy

lazi

ne59

15-4

1-3

8.84

2017

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150

150

6Te

rbut

ryn

886-

50-0

011

––

04

01

Thio

benc

arb

2824

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7183

0.69

300.

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0.1

32tr

ans-

Met

hyl-3

-(2,

2-di

chlo

rovi

nyl)-

2,2-

dim

ethy

l-(1-

cycl

opro

pane

)-ca

rbox

ylat

et6

1898

-95-

10

90

90

7–

tran

s-Pr

opic

onaz

ole

t602

07-9

0-1

16.3

118

17.1

715

0.36

110.

745

Tria

llate

2303

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53.

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1.52

300.

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0.09

32Tr

ibup

hos

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0.24

180

150

110

5Tr

iclo

pyr

5533

5-06

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2789

9.89

400

590.

4034

Trifl

ural

in15

82-0

9-8

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11.6

531

0.68

510.

5932

Z-D

imet

hom

orph

z110

488-

70-5

1.48

90

90

7–

1 Com

poun

d no

t eva

luat

ed a

s a p

estic

ide.

Page 202: Prioritizing Pesticide Compounds for Analytical Methods

188 Prioritizing Pesticide Compounds for Analytical Methods Development

Appendix 8.

Concentration Statistics for 83 Pesticide Compounds Sampled in Agricultural, Urban, and Mixed Land-Use Groundwater Networks from the National Water-Quality Assessment (NAWQA) Program Monitoring Studies, 1993–2003

Page 203: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 8. 189

Table 8–1. Concentration statistics for 83 pesticide compounds sampled in agricultural, urban, and mixed land-use groundwater networks from the National Water-Quality Assessment (NAWQA) Program monitoring studies, 1993–2003.—Continued

[The CAS Registry Number® is a registered trademark of the American Chemical Society. CAS recommends the verification of the CAS Registry Numbers through CAS Client ServicesSM. Concentration statistics were determined for agricultural, urban, and mixed land-use wells using the methods of Stackelberg (2006). Abbreviations: CAS, Chemical Abstracts Service; LT-MDL, long-term method detection level; µg/L, micrograms per liter; <, less than]

Chemical nameParameter

code

CAS Registry Number

Maximum LT-MDL (µg/L)

Groundwater

Agricultural Urban Mixed

Number of

samples

99th percentile

concentration (µg/L)

Number of

samples

99th percentile

concentration (µg/L)

Number of

samples

99th percentile

concentration (µg/L)

2,4,5-T (2,4,5-Trichloro-phenoxyacetic acid)

39742 93-76-5 0.04 1,158 <0.04 607 <0.04 1,446 <0.04

2,4,5-TP (2-[2,4,5-Trichloro-phenoxy]propionic acid)

39762 93-72-1 0.03 1,158 <0.03 607 <0.03 1,446 <0.03

2,4-D (2,4-Dichlorophenoxy acetic acid)

39732 94-75-7 0.08 1,206 <0.08 665 <0.08 1,568 <0.08

2,4-DB (4-[2,4-Dichloro-phenoxy]butyric acid)

38746 94-82-6 0.13 1,184 <0.13 665 <0.13 1,536 <0.13

2,6-Diethylaniline 82660 579-66-8 0.003 1,402 0.002 855 <0.003 2,730 <0.0033-Hydroxycarbofuran 49308 16655-82-6 0.05 1,186 <0.05 662 <0.05 1,569 <0.05Acetochlor 49260 34256-82-1 0.003 920 <0.003 666 <0.003 2,266 <0.003Acifluorfen 49315 50594-66-6 0.04 1,185 <0.04 665 <0.04 1,571 <0.04Alachlor 46342 15972-60-8 0.002 1,401 0.014 854 <0.002 2,729 <0.002Aldicarb 49312 116-06-3 0.1 1,187 <0.1 663 <0.1 1,573 <0.1Aldicarb sulfone 49313 1646-88-4 0.1 1,173 <0.1 653 <0.1 1,544 <0.1Aldicarb sulfoxide 49314 1646-87-3 0.14 1,174 <0.14 653 <0.14 1,547 <0.14alpha-HCH (alpha-

Hexachloro-cyclohexane)

34253 319-84-6 0.002 1,402 <0.002 855 <0.002 2,729 <0.002

Atrazine 39632 1912-24-9 0.004 1,406 1.2 851 0.553 2,730 0.28Azinphos-methyl 82686 86-50-0 0.02 1,399 <0.02 852 <0.02 2,728 <0.02Benfluralin 82673 1861-40-1 0.005 1,402 <0.005 854 <0.005 2,729 <0.005Bentazon 38711 25057-89-0 0.03 1,204 0.91 665 0.08 1,568 0.06Bromacil 04029 314-40-9 0.04 1,213 1.83 663 0.194 1,575 <0.04Bromoxynil 49311 1689-84-5 0.03 1,181 <0.03 665 <0.03 1,569 <0.03Butylate 04028 2008-41-5 0.001 1,401 <0.001 854 <0.001 2,729 <0.001Carbaryl 82680 63-25-2 0.021 1,401 <0.021 854 0.007 2,729 <0.021Carbofuran 82674 1563-66-2 0.01 1,404 0.017 853 <0.01 2,727 <0.01Chloramben methyl 61188 7286-84-2 0.11 1,187 <0.11 665 <0.11 1,580 <0.11Chlorothalonil 49306 1897-45-6 0.07 1,187 <0.07 660 <0.07 1,574 <0.07Chlorpyrifos 38933 2921-88-2 0.003 1,402 <0.003 852 <0.003 2,727 <0.003cis-Permethrin 82687 54774-45-7 0.003 1,402 <0.003 854 <0.003 2,728 <0.003Clopyralid 49305 1702-17-6 0.21 1,178 <0.21 662 <0.21 1,569 <0.21Cyanazine 04041 21725-46-2 0.009 1,404 0.007 853 <0.009 2,729 <0.009Dacthal 82682 1861-32-1 0.002 1,402 0.001 854 <0.002 2,730 <0.002Dacthal monoacid 49304 887-54-7 0.04 1,179 <0.04 635 <0.04 1,568 <0.04Deethylatrazine 04040 6190-65-4 0.003 1,404 0.68 851 0.229 2,726 0.222Diazinon 39572 333-41-5 0.003 1,400 <0.003 853 0.004 2,728 0.004

Table 8–1. Concentration statistics for 83 pesticide compounds sampled in agricultural, urban, and mixed land-use groundwater networks from the National Water-Quality Assessment (NAWQA) Program monitoring studies, 1993–2003.

[The CAS Registry Number® is a registered trademark of the American Chemical Society. CAS recommends the verification of the CAS Registry Numbers through CAS Client ServicesSM. Concentration statistics were determined for agricultural, urban, and mixed land-use wells using the methods of Stackelberg (2006). Abbreviations: CAS, Chemical Abstracts Service; LT-MDL, long-term method detection level; µg/L, micrograms per liter; <, less than]

Page 204: Prioritizing Pesticide Compounds for Analytical Methods

190 Prioritizing Pesticide Compounds for Analytical Methods Development

Table 8–1. Concentration statistics for 83 pesticide compounds sampled in agricultural, urban, and mixed land-use groundwater networks from the National Water-Quality Assessment (NAWQA) Program monitoring studies, 1993–2003.—Continued

[The CAS Registry Number® is a registered trademark of the American Chemical Society. CAS recommends the verification of the CAS Registry Numbers through CAS Client ServicesSM. Concentration statistics were determined for agricultural, urban, and mixed land-use wells using the methods of Stackelberg (2006). Abbreviations: CAS, Chemical Abstracts Service; LT-MDL, long-term method detection level; µg/L, micrograms per liter; <, less than]

Chemical nameParameter

code

CAS Registry Number

Maximum LT-MDL (µg/L)

Groundwater

Agricultural Urban Mixed

Number of

samples

99th percentile

concentration (µg/L)

Number of

samples

99th percentile

concentration (µg/L)

Number of

samples

99th percentile

concentration (µg/L)

Dicamba 38442 1918-00-9 0.05 1,177 <0.05 665 <0.05 1,575 <0.05Dichlobenil 49303 1194-65-6 0.05 1,160 <0.05 607 <0.05 1,453 <0.05Dichlorprop 49302 120-36-5 0.06 1,184 <0.06 664 <0.06 1,576 <0.06Dieldrin 39381 60-57-1 0.002 1,396 <0.002 843 0.055 2,728 <0.002Dinoseb 49301 88-85-7 0.04 1,185 <0.04 665 <0.04 1,569 <0.04Disulfoton 82677 298-04-4 0.011 1,405 <0.011 854 <0.011 2,730 <0.011Diuron 49300 330-54-1 0.06 1,212 0.14 664 0.25 1,566 0.07DNOC

(4,6-Dinitro-o-cresol)49299 534-52-1 0.13 1,155 <0.13 607 <0.13 1,446 <0.13

EPTC (S-Ethyl dipropylthiocarbamate)

82668 759-94-4 0.001 1,399 0.003 852 <0.001 2,725 <0.001

Ethalfluralin 82663 55283-68-6 0.005 1,401 <0.005 854 <0.005 2,728 <0.005Ethoprop 82672 13194-48-4 0.002 1,401 <0.002 854 <0.002 2,728 <0.002Fenuron 49297 101-42-8 0.03 1,187 <0.03 632 <0.03 1,567 <0.03Fluometuron 38811 2164-17-2 0.03 1,217 <0.03 634 <0.03 1,575 <0.03Fonofos 04095 944-22-9 0.001 1,401 <0.001 854 <0.001 2,729 <0.001gamma-HCH 39341 58-89-9 0.002 1,397 <0.002 843 <0.002 2,728 <0.002Linuron 82666 330-55-2 0.018 1,401 <0.018 854 <0.018 2,729 <0.018Malathion 39532 121-75-5 0.014 1,403 <0.014 856 <0.014 2,732 <0.014MCPA (2-Methyl-4-

chlorophenoxyacetic acid)

38482 94-74-6 0.1 1,179 <0.1 665 <0.1 1,576 <0.1

MCPB (4-[4-Chloro-2-methylphenoxy]butanoic acid)

38487 94-81-5 0.13 1,184 <0.13 665 <0.13 1,575 <0.13

Methiocarb 38501 2032-65-7 0.03 1,186 <0.03 634 <0.03 1,573 <0.03Methomyl 49296 16752-77-5 0.24 1,174 <0.24 653 <0.24 1,537 <0.24Metolachlor 39415 51218-45-2 0.006 1,405 0.466 856 0.029 2,729 0.031Metribuzin 82630 21087-64-9 0.003 1,397 0.028 846 0.004 2,729 <0.003Molinate 82671 2212-67-1 0.001 1,401 <0.001 854 <0.001 2,726 <0.001Napropamide 82684 15299-99-7 0.003 1,400 <0.003 852 <0.003 2,729 <0.003Neburon 49294 555-37-3 0.03 1,188 <0.03 635 <0.03 1,574 <0.03Norflurazon 49293 27314-13-2 0.021 1,173 1.32 630 <0.021 1,552 <0.021Oryzalin 49292 19044-88-3 0.14 1,170 <0.14 665 <0.14 1,492 <0.14Oxamyl 38866 23135-22-0 0.08 1,172 <0.08 652 <0.08 1,542 <0.08p,pʹ-DDE (p,pʹ-

Dichlorodiphenyl-dichloroethylene)

34653 72-55-9 0.001 1,402 0.002 854 0.002 2,729 0.002

Parathion 39542 56-38-2 0.005 1,401 <0.005 854 <0.005 2,728 <0.005Parathion-methyl 82667 298-00-0 0.003 1,399 <0.003 853 <0.003 2,718 <0.003

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Appendix 8. 191

Table 8–1. Concentration statistics for 83 pesticide compounds sampled in agricultural, urban, and mixed land-use groundwater networks from the National Water-Quality Assessment (NAWQA) Program monitoring studies, 1993–2003.—Continued

[The CAS Registry Number® is a registered trademark of the American Chemical Society. CAS recommends the verification of the CAS Registry Numbers through CAS Client ServicesSM. Concentration statistics were determined for agricultural, urban, and mixed land-use wells using the methods of Stackelberg (2006). Abbreviations: CAS, Chemical Abstracts Service; LT-MDL, long-term method detection level; µg/L, micrograms per liter; <, less than]

Chemical nameParameter

code

CAS Registry Number

Maximum LT-MDL (µg/L)

Groundwater

Agricultural Urban Mixed

Number of

samples

99th percentile

concentration (µg/L)

Number of

samples

99th percentile

concentration (µg/L)

Number of

samples

99th percentile

concentration (µg/L)

Pebulate 82669 1114-71-2 0.002 1,402 <0.002 854 <0.002 2,728 <0.002Pendimethalin 82683 40487-42-1 0.011 1,404 <0.011 854 <0.011 2,729 <0.011Phorate 82664 298-02-2 0.006 1,404 <0.006 855 <0.006 2,730 <0.006Picloram 49291 1918-02-1 0.04 1,166 <0.04 658 <0.04 1,545 <0.04Prometon 04037 1610-18-0 0.007 1,405 0.169 855 0.485 2,731 0.031Pronamide 82676 23950-58-5 0.002 1,401 <0.002 854 <0.002 2,728 <0.002Propachlor 04024 1918-16-7 0.005 1,401 <0.005 854 <0.005 2,729 <0.005Propanil 82679 709-98-8 0.005 1,400 <0.005 854 <0.005 2,728 <0.005Propargite 82685 2312-35-8 0.011 1,403 <0.011 854 <0.011 2,716 <0.011Propham 49236 122-42-9 0.11 1,188 <0.11 664 <0.11 1,577 <0.11Propoxur 38538 114-26-1 0.06 1,177 <0.06 663 <0.06 1,565 <0.06Simazine 04035 122-34-9 0.006 1,404 0.131 855 0.283 2,732 0.031Tebuthiuron 82670 34014-18-1 0.008 1,405 0.018 854 0.113 2,720 0.032Terbacil 82665 5902-51-2 0.017 1,398 <0.017 852 0.007 2,717 <0.017Terbufos 82675 13071-79-9 0.009 1,405 <0.009 855 <0.009 2,729 <0.009Thiobencarb 82681 28249-77-6 0.002 1,401 <0.002 854 <0.002 2,727 <0.002Triallate 82678 2303-17-5 0.001 1,402 <0.001 854 <0.001 2,730 <0.001Triclopyr 49235 55335-06-3 0.04 1,186 <0.04 664 <0.04 1,570 <0.04Trifluralin 82661 1582-09-8 0.005 1,401 <0.005 854 <0.005 2,727 <0.005

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192 Prioritizing Pesticide Compounds for Analytical Methods Development

Reference Cited, Appendix 8

Stackelberg, P.E., 2006, The quality of our nation's waters–pesticides in the nation's streams and ground water, 1992–2001, Appendix 8B: Analytical approach and methods for pesticides in ground water: U.S. Geological Survey, Circular 1291, accessed at http://water.usgs.gov/nawqa/pnsp/pubs/circ1291/appendix8/8b.html (available online only).

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Appendix 9. 193

Appendix 9.

Summary of the Groundwater Regression for Pesticides Model Methodology

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194 Prioritizing Pesticide Compounds for Analytical Methods Development

Background

National models of atrazine occurrence in shallow groundwater were previously developed by Kolpin and others (2002) and Stackelberg and others (2006) to evaluate atrazine-detection frequencies in well networks (typically 20–30 wells each) associated with NAWQA land-use studies (Gilliom and others, 2006). Explanatory variables whose values were aver-aged across each study area were used to represent the natural setting, agricultural management practices, and atrazine-use intensity (kilograms per square kilometer). The model of Kolpin and others (2002) was developed from data on the occurrence of atrazine in shallow groundwater underlying agricultural and urban land-use settings, whereas the model of Stackelberg and others (2006) focused solely on atrazine occurrence in agricultural settings. Both models used ordinary least-squares regression methods to identify and quantify the effect of factors that were significantly correlated with atrazine-detection frequencies. Stackelberg and others (2006) then applied their model to predict the frequency with which atrazine would be detected in groundwater beneath unmoni-tored agricultural settings across the conterminous United States.

More recently, the model of Stackelberg and others (2006) has been modified by using the summed concentration of atrazine and one of its degradates, deethylatrazine (DEA)—rather than atrazine-detection frequencies—as the response variable (Paul E. Stackelberg, U.S. Geological Survey, written commun., 2011). The reason for using the sum of atrazine and DEA concentrations as the response variable, rather than the concentration of atrazine alone, was to capture as much information as possible on factors that control the transport and fate of atrazine-derived compounds in the subsurface. Three other major atrazine degradates—deisopropylatrazine, didealkylatrazine, and hydroxyatrazine—were considered, but not examined because of considerations related to analytical performance (Mark Sandstrom, U.S. Geological Survey, writ-ten commun., 2011). A benefit of this newly developed model over previous national regression models is that it predicts concentrations rather than detection frequency, which can be directly compared to water-quality criteria.

Model Development

Measured atrazine and DEA concentrations in 1,298 samples of shallow groundwater underlying 55 areas of regionally extensive combinations of agricultural land and

hydrogeological conditions were used for model development. Because 52 percent of the atrazine and DEA concentrations were censored (deemed to be non-detections), a Tobit model, which provides parameter estimates for a censored linear model (Tobin, 1958; Judge and others, 1985), was used for development of the regression model as described in Larson and others (2004), Stone and others (2008), and Nowell and others (2009). The response variable represents the summed concentration of atrazine and DEA; therefore, the Tobit regres-sion model used interval censoring (Helsel, 2005), whereby two values of the response variable are calculated for each sample—(1) a lower bound representing summed concentra-tions on the assumption that censored values are equal to zero, and (2) an upper bound representing summed concen-trations on the assumption that censored values are equal to their maximum long term-method detection level (LT-MDL). For example, the interval-censoring approach for a sample in which atrazine concentration is reported as 0.009 micrograms per liter (μg/L) and DEA is not detected (and reported as less than the max LT-MDL of 0.007 μg/L) computes total atrazine-residue concentrations to be between 0.009 and 0.016 μg/L. When both atrazine and DEA concentrations were censored, the observation was considered to be left-censored at the sum of the max LT-MDLs (0.011 μg/L).

Potential explanatory variables for the model were screened through a stepwise, interval-censored Tobit regres-sion procedure that used the Akaike Information Criterion (AIC) statistic to select variables. The AIC statistic balances the desire to explain as much variability as possible in the response variable (here, atrazine-residue concentration) with the practicality of including as few explanatory variables as possible (Helsel and Hirsch, 1992). Groups of explana-tory variables were sequentially added prior to each step of the stepwise procedure, and variables were retained if their probability (p) values remained less than or equal to 0.25. A p-value of 0.25 was used at this stage of model development to ensure that all explanatory variables that might contribute significantly to a final model formulation would be considered. Remaining variables were dropped from further consideration if they were redundant (derived from the same ancillary data set), highly correlated with one another (correlation coefficient greater than 0.75), or dependent as indicated by a condition index near 30 and variance decomposition proportions greater than 0.5 (Belsley and others, 1980). In these cases, the variable with the lowest p-value was retained, and the redundant, cor-related, or dependent variable(s) were eliminated from further consideration.

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Appendix 9. 195

The optimal model formulation was identified by maxi-mizing pseudo-R2 (pR2) values (Laitila, 1993) and minimizing the scale parameter. The pR2 and scale parameter are alterna-tives to the coefficient of determination (R2) and the standard deviation of the residual error, respectively, which are used in conventional least-squares analysis. As with conventional R2, the pR2 ranges from 0 to 1 and is an estimate of the percentage of the variation in the response variable that is explained by the regression model. Thus, a pR2 value of zero indicates that no variation is explained, and a value of unity indicates that 100 percent of the variation is explained. The pR2 was calcu-lated through methods described by Laitila (1993). Estimates of the standard deviation of the residual error from maximum-likelihood methods provide only asymptotically unbiased estimates of the standard deviation of the residual error when estimated from sample data (Aitkin, 1981). These estimates, on average, underestimate the true standard deviation. The bias is a function of the sample size and degree of censoring and is expected to be minimal for models with low percent-ages of censored observations. In this report, biased estimates of the standard deviation of the residual error are referred to as scale.

Before the final model formulation was established, all explanatory variables that had previously been dropped were reevaluated to confirm that they did not contribute signifi-cantly (p-value less than 0.05, and model pR2 increased by 1 percent or more) to the final model. Finally, each pairwise combination of explanatory variables in the final model was considered as a cross-product term to assess whether interac-tion of explanatory variables contributed significantly to the final model.

The optimal model formulation (table 9–1) explains 41 percent of the variability in the concentration of atrazine residues measured in shallow groundwater beneath agricul-tural areas across the conterminous United States. Interaction between the variables artdrn (artificial drainage) and wtdep (depth to the seasonally high water table) was found to be significant and thus required that both variables remain in the final model formulation (Kleinbaum and Klein, 2002) despite an increase in the p-value for wtdep to greater than 0.05 (table 9–1). The groundwater model has the form of equation 1.

log1

Concentration 3 46 92

10

00 0 00 1 3

0

( ) = − + ( )

− (

. . /

.

use

artdrn)) + ( ) + ( )+ ( )

1 3 0 0 0 1 3

0 1

/ . . /

. /

15 4

23

wtdep artdrn wtdep

permin

i

33 00

0 0

9200

+ +( )

− ( ) 62 log

11 5

where

. .recharge airtemp

use = the intensity, in kilograms per square kilometer, of attrazine applications for agricultural purposes in 500-meteer radial areas around each sampled well. Atrazine-use esttimates were based on unpublished proprietary-use data obttained from DMRKYNETEC, Inc. (Thelin and Stone, 2010); usee9200 represents the average reported use for the years 19992 2000.

= the percentage of 1-square kilometer grid

−artdrn

cells with subsurface drains and graded ditches as repressented by conservation practices CP606, CP607, and/or CP6008 (U.S. Natural Resources Conservation Service, 1995).

wtddep = depth to the seasonally high water table in meters (Naatural Resources Conservation Service, 1994).

permepermin = aability of the least permeable soils layer in centimeters per hour U.S. Natural Resources

Conservation Service, 19(

994).mean annual groundwater recharge in

centimetrecharge =

eers per year estimated from a base-flow analysis and mea

,nn annual

runoff as described in Wolock and modified

( )2003 to include groundwater

withdrawn for irrigation purposes (Karen Burow, U.S. Geological Survey,written commun., Mayy 2009).

mean annual air temperature during 198 9airtemp = −0 77 in degrees C (Thornton, 2003).

(1)

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196 Prioritizing Pesticide Compounds for Analytical Methods Development

References Cited, Appendix 9

Aitkin, M., 1981, A note on the regression of censored data: Technometrics, v. 23, p. 161–163.

Belsley, D.A., Kuh, E., and Welsch, R.E., 1980, Regression diagnostics: New York, New York, John Wiley and Sons.

Gilliom, R.J., Barbash, J.E., Crawford, C.G., Hamilton, P.A., Martin, J.D., Nakagaki, N., Nowell, L.H., Scott, J.C., Stack-elberg, P.E., Thelin, G.P., and Wolock, D.M., 2006, The quality of our nation’s waters—Pesticides in the nation’s streams and ground water, 1992–2001: U.S. Geological Survey Circular 1291, 172 p. Available at http://ca.water.usgs.gov/pnsp/pubs/circ1291/

Helsel, D.R., 2005, Nondetects and data analysis: Statistics for censored environmental data: Hoboken, New Jersey, John Wiley & Sons.

Helsel, D.R., and Hirsch, R.M., 1992, Statistical methods in water resources: Amsterdam, The Netherlands, Elsevier Science.

Judge, G.G., Griffiths, W.E., Hill, R.C., Lütkepohl, H., and Lee, T.C., 1985, The theory and practice of econometrics (2nd ed.): New York, New York, John Wiley.

Kleinbaum, D.G., and Klein, M., 2002, Logistic regression—A self-learning text (2nd ed.): Statistics for Biology and Health: New York, New York, Springer-Verlag, 513 p.

Kolpin, D.W., Barbash, J.E., and Gilliom, R.J., 2002, Atrazine and metolochlor occurrence in shallow ground water of the United States, 1993 to 1995: Relations to explanatory fac-tors: Journal of the American Water Resources Association, v. 38, p. 301–311.

Laitila, T., 1993, A pseudo-R-square measure for limited and qualitative dependent variable models: Journal of Econo-metrics, v. 56, p. 341–356.

Larson, S.J., Crawford, C.G., and Gilliom, R.J., 2004, Devel-opment and application of Watershed Regressions for Pesticides (WARP) for estimating atrazine concentration distributions in streams: U.S. Geological Survey Water-Resources Investigations Report 03–4047, 68 p. Available at http://pubs.usgs.gov/wri/wri034047/

Nowell, L.H., Crawford, C.G., Gilliom, R.J., Nakagaki, N., Stone, W.W., Thelin, G.P., and Wolock, D.M., 2009, Regres-sion model for explaining and predicting concentrations of organochlorine pesticides in fish from streams in the United States: Environmental Toxicology and Chemistry, v. 28, p. 1346–1358

Stackelberg, P.E., Gilliom, R.J., Wolock, D.M., and Hitt, K.J., 2006, Development and application of a regression equation for estimating the occurrence of atrazine in shallow ground water beneath agricultural areas of the United States: U.S. Geological Survey Scientific Investigations Report 2005–5287, 12 p. Available at http://pubs.usgs.gov/sir/2005/5287/pdf/NYsir2005-5287_report.pdf

Stone, W.W., Gilliom, R.J., and Crawford, C.G., 2008, Water-shed Regressions for Pesticides (WARP) for predicting annual maximum and maximum moving-average concentra-tions of atrazine in streams: U.S. Geological Survey Open-File Report 08-1186, 19 p. Available at http://pubs.usgs.gov/of/2008/1186/

Table 9–1. Statistics for Tobit regression model.

[Model variables are defined in equation 1. Abbreviations: N, number of samples; <, less than; –, none]

Variable Coefficient p-value

Contribution to overall

pR2 by addition of

variable

NOverall

pR2 Scale

Censored data (percent)

Left censored

Interval censored

wtdep 0.15 0.11 0.13 1,298 0.41 0.82 51.6 10.2use92001/3 0.46 <0.0001 0.09 – – – – –airtemp –0.05 <0.0001 0.08 – – – – –artdrn1/3 –0.1 <0.0001 0.06 – – – – –artdrn1/3*wtdep 0.04 0.0002 0.03 – – – – –log10(1+recharge) 0.62 <0.0001 0.01 – – – – –permin1/3 0.23 <0.0001 0.01 – – – – –intercept –3.00 – – – – – – –

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Appendix 9. 197

Thelin, G.P., and Stone, W.W., 2010, Method for estimating annual atrazine use for counties in the conterminous United States, 1992–2007: U.S. Geological Survey Scientific Inves-tigations Report 2010–5034, 129 p. Available at http://pubs.usgs.gov/sir/2010/5034/

Thorton, P.E., 2003, DAYMET climatological summaries for average air temperatures and total precipitation (18-year mean for 1980–1997 [digitial data]): accessed at http://daymet.org

Tobin, J., 1958, Estimation of relationships for limited depen-dent variables: Econometrics, v. 26, p. 24–36.

U.S. Natural Resources Conservation Service, 1994, State Soil Geographic (STATSGO) data base for the United States and Puerto Rico (CD-ROM), accessed July, 2004, at http://soils.usda.gov/survey/geography/statsgo/

U.S. Natural Resources Conservation Service, 1995, 1992 National Resources Inventory (CD-ROM reissued May 1995): Ames, Iowa, Iowa State University Statistical Laboratory.

Wolock, D.W., 2003, Estimated mean annual natural ground-water recharge in the conterminous United States (digi-tal data set): U.S. Geological Survey Open-File Report 03–311. Available at http://water.usgs.gov/lookup/getspatial?rech48grd

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198 Prioritizing Pesticide Compounds for Analytical Methods Development

Appendix 10.

Summary of Occurrence of Pesticide Compounds in Bed Sediment from Agricultural, Urban, and Mixed Land-Use Streams Sampled by the National Water-Quality Assessment (NAWQA) Program, 1992–2001

Page 213: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 10. 199Ta

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AS

Clie

nt S

ervi

cesSM

; N

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, not

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ecte

d]

Page 214: Prioritizing Pesticide Compounds for Analytical Methods

200 Prioritizing Pesticide Compounds for Analytical Methods DevelopmentTa

ble

10–1

. Su

mm

ary

of o

ccur

renc

e of

pes

ticid

e co

mpo

unds

in b

ed s

edim

ent f

rom

agr

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tura

l, ur

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mix

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nd-u

se s

tream

s sa

mpl

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y th

e N

atio

nal W

ater

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lity

Asse

ssm

ent (

NAW

QA) P

rogr

am, 1

992–

2001

.—Co

ntin

ued

[Abb

revi

atio

ns: T

he C

AS

Reg

istry

Num

ber®

is a

Reg

iste

red

Trad

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k of

the A

mer

ican

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mic

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AS

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mic

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Chem

ical

nam

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S Re

gist

ry

Num

ber

Repo

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g le

vel

(µg/

kg)

Agr

icul

tura

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land

use

Mix

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nd u

se

No.

of

si

tes

Det

ectio

n fr

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in

per

cent

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entil

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f co

ncen

trat

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Perc

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cent

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trat

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95th

Max

50th

95th

Max

50th

95th

Max

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232

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lor

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348

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0Is

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H)

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achl

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in52

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283

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220

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l chl

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ND

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348.

135

626

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tal D

DT 1

ND

ND

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308.

212

572

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6.8

133.

026

2.8

361

54.0

21.

238

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3.0

1 C

once

ntra

tion

was

det

erm

ined

by

sum

min

g co

ncen

tratio

ns o

f ind

ivid

ual c

ompo

nent

s. N

on-d

etec

tions

and

mis

sing

dat

a fo

r com

pone

nts w

ere

assu

med

equ

al to

zer

o. T

here

fore

, per

cent

iles f

or su

mm

ed

anal

ytes

repr

esen

t the

low

er-b

ound

est

imat

es.

Page 215: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 11. 201

Appendix 11.

Summary of Occurrence of Pesticide Compounds in Lake Core Sediment from Urban and Reference Lakes Sampled Across the United States by the National Water-Quality Assessment (NAWQA) Program, 1992–2001

Page 216: Prioritizing Pesticide Compounds for Analytical Methods

202 Prioritizing Pesticide Compounds for Analytical Methods Development

Table 11–1. Summary of occurrence of pesticide compounds in lake core sediment from urban and reference lakes sampled across the United States by the National Water-Quality Assessment (NAWQA) Program, 1992–2001.

[The CAS Registry Number® is a Registered Trademark of the American Chemical Society. CAS recommends the verification of the CAS Registry Numbers through CAS Client ServicesSM. Abbreviations: CAS, Chemical Abstracts Service]

Chemical nameCAS

Registry Number

Number of samples

Detection frequency

(in percent)

Aldrin 309-00-2 155 1.94Chlordane 57-74-9 155 67.74p,p′-DDD

(p,pʹ-Dichlorodiphenyl-dichloroethane)

72-54-8 155 72.90

p,p′-DDE (p,pʹ-Dichlorodiphenyl-dichloroethylene)

72-55-9 155 92.26

p,p′-DDT (p,pʹ-Dichlorodiphenyl-trichloroethane)

50-29-3 155 50.97

Dieldrin 60-57-1 155 44.52Endosulfan I (alpha-

Endosulfan)959-98-8 155 0.00

Endrin 72-20-8 144 0.00Heptachlor 76-44-8 155 5.16Heptachlor epoxide 1024-57-3 155 7.74Lindane (gamma-

Hexachlorocyclohexane)58-89-9 155 0.65

p,p′-Methoxychlor 72-43-5 144 2.78Mirex 2385-85-5 144 4.17Toxaphene 8001-35-2 144 0.00

Page 217: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 12. 203

Appendix 12.

Summary of Occurrence of Legacy and Current-Use Pesticide Compounds in Stream Bed and Suspended Sediment from Agricultural and Urban Streams Sampled by the Toxics Program, 2001–08

Page 218: Prioritizing Pesticide Compounds for Analytical Methods

204 Prioritizing Pesticide Compounds for Analytical Methods Development

Table 12–1. Summary of occurrence of legacy and current-use pesticide compounds in stream bed and suspended sediment from agricultural and urban streams sampled by the U.S. Geological Survey Toxics Program, 2001–08.—Continued

[The CAS Registry Number® is a registered trademark of the American Chemical Society. CAS recommends the verification of the CAS Registry Numbers through CAS Client ServicesSM. Abbreviations: CAS, Chemical Abstracts Service]

Chemical nameCAS

Registry Number

Number of samples

Detection frequency

(in percent)

3,4-Dichloroaniline 95-76-1 103 13.6Alachlor 15972-60-8 157 1.3Allethrin 584-79-2 79 0alpha-Endosulfan (Endosulfan I) 959-98-8 78 17.9Atrazine 1912-24-9 177 3.4Azinphos-methyl 86-50-0 51 0beta-Endosulfan (Endosulfan II) 33213-65-9 24 8.3beta-HCH (beta-Hexachlorocyclohexane) 319-85-7 24 29.2Bifenthrin 82657-04-3 260 41.9Butylate 2008-41-5 130 0Carbaryl 63-25-2 150 4.0Carbofuran 1563-66-2 154 1.3Chlorothalonil 1897-45-6 24 8.3Chlorpyrifos 2921-88-2 214 32.7cis-Chlordane (alpha-Chlordane) 5103-71-9 24 37.5cis-Nonachlor 5103-73-1 24 12.5Cyanazine 21725-46-2 54 0Cycloate 1134-23-2 130 0Cyfluthrin 68359-37-5 79 5.1Cyhalothrin (lambda-Cyhalothrin) 91465-08-6 225 19.6Cypermethrin 52315-07-8 143 3.5Cyproconazole 94361-06-5 24 4.2Dacthal (DCPA) 1861-32-1 208 21.6delta-HCH 319-86-8 24 12.5Deltamethrin 52918-63-5 79 0Desulfinylfipronil (MB46513) not available 79 0Diazinon 333-41-5 181 8.3Dieldrin 60-57-1 24 91.7Diethatyl 38727-55-8 24 0EPTC (S-Ethyl dipropylthiocarbamate) 759-94-4 154 13.0Esfenvalerate 66230-04-4 154 13.6Ethalfluralin 55283-68-6 130 7.7Fenpropathrin 39515-41-8 79 5.1Fipronil 120068-37-3 93 1.1Fipronil sulfide 120067-83-6 106 4.7Fipronil sulfone 120068-36-2 91 3.3Fluvalinate-tau 102851-06-9 87 3.4Fonofos 944-22-9 54 0gamma-HCH 58-89-9 24 16.7Hexazinone 51235-04-2 159 1.3Iprodione 36734-19-7 79 17.7Malathion 121-75-5 157 0Methidathion 950-37-8 157 0.6Methoprene 40596-69-8 91 2.2

Table 12–1. Summary of occurrence of legacy and current-use pesticide compounds in stream bed and suspended sediment from agricultural and urban streams sampled by the U.S. Geological Survey Toxics Program, 2001–08.

[The CAS Registry Number® is a registered trademark of the American Chemical Society. CAS recommends the verification of the CAS Registry Numbers through CAS Client ServicesSM. Abbreviations: CAS, Chemical Abstracts Service]

Page 219: Prioritizing Pesticide Compounds for Analytical Methods

Appendix 12. 205

Table 12–1. Summary of occurrence of legacy and current-use pesticide compounds in stream bed and suspended sediment from agricultural and urban streams sampled by the U.S. Geological Survey Toxics Program, 2001–08.—Continued

[The CAS Registry Number® is a registered trademark of the American Chemical Society. CAS recommends the verification of the CAS Registry Numbers through CAS Client ServicesSM. Abbreviations: CAS, Chemical Abstracts Service]

Chemical nameCAS

Registry Number

Number of samples

Detection frequency

(in percent)

Metolachlor 51218-45-2 198 27.8Molinate 2212-67-1 138 2.2Myclobutanil 88671-89-0 24 12.5Napropamide 15299-99-7 138 5.1Oxyfluorfen 42874-03-3 162 30.2p,pʹ-DDD (p,pʹ-Dichlorodiphenyl-dichloroethane) 72-54-8 248 40.3p,pʹ-DDE (p,pʹ-Dichlorodiphenyl-dichloroethylene) 72-55-9 274 52.6p,pʹ-DDT (p,pʹ-Dichlorodiphenyl-trichloroethane) 50-29-3 248 34.7Parathion-methyl 298-00-0 157 6.4PCNB (Pentachloronitrobenzene) 82-68-8 79 0Pebulate 1114-71-2 130 3.8Pendimethalin 40487-42-1 247 40.5Pentachloroanisole (PCA) 1825-21-4 103 1.9Permethrin (cis-Permethrin) 52645-53-1 140 36.4Phosmet 732-11-6 103 0Piperonyl butoxide 51-03-6 160 11.3Prometryn 7287-19-6 194 22.2Propiconazole 60207-90-1 24 8.3Resmethrin 10453-86-8 127 5.5Simazine 122-34-9 130 8.5Sulfotepp 3689-24-5 27 0Sumithrin 26002-80-2 79 0Tefluthrin 79538-32-2 79 0Terbuthylazine 5915-41-3 21 4.8Tetraconazole 112281-77-3 24 87.5Tetramethrin 7696-12-0 79 0Thiobencarb 28249-77-6 144 6.9trans-Chlordane (gamma-Chlordane) 5103-74-2 24 50.0trans-Nonachlor 39765-80-5 24 20.8Trifluralin 1582-09-8 214 44.9

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