development of the geotechnical subsurface database for ... · from cone penetration test (cpt) ......
TRANSCRIPT
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Development of the Geotechnical Subsurface Database for the Probabilistic Mapping of
Liquefaction Triggering and Lateral Spread Hazard in Utah County, Utah
Jasmyn Nicole Harper
A project report submitted to the faculty of
Brigham Young University
in partial fulfillment of the requirements for the degree of
Master of Science
Kevin W. Franke, Chair
Kyle M. Rollins
Fernando S. Fonseca
Department of Civil and Environmental Engineering
Brigham Young University
March 2016
Copyright 2015 Jasmyn Nicole Harper
All Rights Reserved
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ABSTRACT
Performance Based Liquefaction-Induced Lateral Spread Mapping of Utah County
Jasmyn Nicole Harper
Department of Civil and Environmental Engineering, BYU
Master of Science
Geologic hazard mapping has proven to be a very useful tool for engineers, emergency
planners, and risk analysts to identify areas of potential societal impact. Two geologic risks that
are present along the Wasatch Front and more specifically, Utah County are liquefaction and
liquefaction-induced lateral spread. Before hazard maps can be created, a subsurface database
comprised of data from surficial geology maps, Digital Elevation Models (DEM), and local
subsurface exploration reports needs to be developed in the area of interest. Once the database is
developed, a performance based analysis of lateral spread hazard is performed. This report shows
a fully probabilistic method for mapping lateral spread hazard by using an empirical model for
Utah County, Utah. Based on the developed subsurface database, lateral spread maps have been
created that account for variations in soil conditions, age, topography, spatial distribution and
aleatory uncertainty. 1022 and 2475 year return period lateral spreading maps have been
developed for Utah County from this analysis. These maps quantitatively define lateral spread
hazard which is unique compared to traditional mapping efforts in Utah.
Keywords: probabilistic hazard mapping, lateral spread, liquefaction, performance-based
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ACKNOWLEDGEMENTS
I would like to thank my advisory committee for their mentoring and guidance during my
time at BYU. A special thanks to Dr. Franke for giving me the opportunity to attend graduate
school when getting my Masters hadnt been something I had planned to do. Thank you for your
encouragement and direction. I will forever be grateful for the time Ive spent here under your
mentorship.
Thank you to Dr. Dan Gillins and his student Mahyar Sharifi-Mood for their efforts in
mapping Utah County liquefaction and lateral spread hazard. I feel fortunate to have contributed
a small piece to the great work you are doing.
Thank you to my research assistants Alex Arndt, Chris Haskell, and Stott Bushnell.
Creating the database in a timely matter would have been impossible without you.
To Lucy Astorga, Brian Peterson, Braden Error, Kristen Ulmer, Alex Arndt and Levi
Ekstrom, thank you for being my homework buddies and providing much needed laughter in our
tiny corner of the Clyde.
Funding for this research was provided by the Utah Department of Transportation, as well
as funds from the UGS. Thank you for your support in the endeavor to improve hazard mapping
in Utah. The conclusions and opinions expressed in this paper do not necessarily reflect those of
the sponsors.
To my sweet husband, Lance: thank you for supporting me throughout my schooling and
always encouraging me to keep going, even when I wanted to quit.
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TABLE OF CONTENTS
ABSTRACT .................................................................................................................................... 3
TABLE OF CONTENTS ............................................................................................................... iv
LIST OF TABLES ......................................................................................................................... vi
LIST OF FIGURES ..................................................................................................................... viii
Background .............................................................................................................................. 1 1
Liquefaction Introduction ................................................................................................. 2 1.1
1.1.1 Liquefaction Susceptibility and Initiation ................................................................. 3
Liquefaction Effects ......................................................................................................... 5 1.2
1.2.1 Lateral Spread Displacement .................................................................................... 5
Lateral Spread Model ....................................................................................................... 6 1.3
Performance Based Lateral Spread Model ....................................................................... 8 1.4
Mapping Liquefaction Effects .......................................................................................... 9 1.5
1.5.1 Hazard Mapping........................................................................................................ 9
1.5.2 Need for Updated Hazard Maps in Utah County .................................................... 11
Data collection ....................................................................................................................... 15 2
Introduction .................................................................................................................... 15 2.1
Data Collection ............................................................................................................... 15 2.2
Overview of Mapping Methodology ..................................................................................... 27 3
Mapping Probabilistic Lateral Spread in Utah County .................................................. 27 3.1
Results and Conclusions ........................................................................................................ 33 4
Final Probabilistic Lateral Spread Hazard Maps ............................................................ 33 4.1
Conclusions .................................................................................................................... 36 4.2
References ............................................................................................................................. 37 5
Appendix 1. ................................................................................................................................... 41
Appendix 2. Utah County Subsurface Database ...................................................................... 45
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LIST OF TABLES
Table 1-A: Gillins and Bartlett (2014) Empirical Regression Model Coefficients for Lateral
Spreading Displacement Prediction ......................................................................................... 8
Table 2-A: Geologic Units in Study Area, Descriptions, Approximate Age, and Sample Size ... 21
Table A 1: Description of Data Fields for Site Table ................................................................... 41
Table A 2: Description of data fields for BLOW Table ............................................................... 42
Table A 3: Description of data fields for SITECPT Table ........................................................... 43
Table A 4: Description of data fields for CPTDATA Table ......................................................... 43
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LIST OF FIGURES
Figure 1-1: Traditional Liquefaction Hazard Map for Utah Valley (Anderson et al, 1994) ........ 13
Figure 2-1: Typical SPT Bore Log ............................................................................................... 18
Figure 2-2: Typical CPT Sounding ............................................................................................... 19
Figure 2-3: Generalized geology and location of SPT boreholes in the study area, Utah County,
Utah (See Table 1 for a description of the 14 generalized geologic
units in the study area) ........................................................................................................... 22
Figure 2-4: Distributions of Dry Unit Weight According to General Soil Type .......................... 23
Figure 2-5: Distributions of Fines Content According to General Soil Type ............................... 24
Figure 2-6: Distributions of Moisture Content According to General Soil Type ......................... 25
Figure 3-1: General Procedure of Mapping Probabilistic Lateral Spread Displacement ............. 27
Figure 3-2: Example of Hazard Curves for the Loading Parameter L .......................................... 29
Figure 3-3: Loading Parameter Maps for Different Return Periods ............................................. 30
Figure 4-1: Probabilistic Lateral Spread Hazard Map for Utah County,
1033 Year Return Period ....................................................................................................... 34
Figure 4-2: Probabilistic Lateral Spread Hazard Map for Utah County,
2475 Year Return Period ....................................................................................................... 35
file:///G:/research/Project_Report/Jasmyn_Harper_Report_2016_317_kwf%20edits%202_revised.docx%23_Toc445980150
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BACKGROUND 1
Liquefaction induced ground failure has the potential to cause significant damage to
infrastructure during an Earthquake. For this reason, it is important to identify areas at risk of
liquefaction induced ground failure and provide a way for engineers, city planners, and
emergency planners to easily recognize these areas. Once these areas are identified, further
ground investigations can be employed through site-specific hazard investigations and mitigation
procedures can be implemented where appropriate/needed.
The purpose of this collaborative research with investigators from Oregon State University
(OSU) is to produce probabilistic liquefaction and lateral spread hazard maps for Utah County,
Utah. To complete this research, a subsurface geotechnical database needed to be constructed.
This subsurface database contains information on soil exploration borings including GPS
coordinates, elevation data from Light Distance and Ranging (LiDar) digital elevation models
(DEMs), standard penetration test (SPT) blow counts, and laboratory data. In some cases, data
from cone penetration test (CPT) soundings was also obtained for the database. Once the
database was created, performance-based lateral spread hazard maps were developed by OSU
collaborators through a regional implementation of the Franke and Kramer (2014) performance-
based lateral spread procedure using the empirical lateral spread displacement model developed
by Youd and Bartlett (2002) and most recently updated by Youd et al. (2002) and Gillins and
Bartlett (2013). The following sections briefly describe the phenomenon of liquefaction and
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liquefaction-induced ground deformations, the need for updated liquefaction hazard maps in
Utah County, and the methods for developing the subsurface database that was used to develop
the fully probabilistic lateral spread hazard maps. Incorporation of the subsurface geotechnical
database described in this report into a probabilistic lateral spread hazard mapping framework
was already completed by OSU collaborators, and those same investigators are currently using a
similar probabilistic mapping framework to develop liquefaction triggering maps for Utah
County. This report will therefore focus principally on describing the development of the
geotechnical database; the probabilistic mapping framework being used by Oregon State
University will not be discussed in detail in this report.
Liquefaction Introduction 1.1
The most basic definition of why liquefaction occurs is a generation of excess pore-water
pressure in an undrained condition. When the soil has a surplus of water pressure, and the water
has nowhere to drain, the soil particles begin to hydroplane and the soil mass behaves in a
liquefied manner. During an earthquake, loose, saturated soil will have the tendency to contract.
The contraction of the soil will generate positive pore water pressures, and the effective stress of
the soil will decrease depending on the amount of pore water pressures generated. Eq. (1-1)
defines effective stress:
' u (1-1)
Liquefaction triggering occurs when effective stress is equal to zero due to excess pore water
pressure generation. This liquefied condition is only temporary until the soil can either dissipate
the excess pore water pressures or the soil dilates due to phase transformation.
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1.1.1 Liquefaction Susceptibility and Initiation
Not all soils are susceptible to liquefaction and liquefaction induced ground failures.
Kramer (1996) states that a soils history, geology, composition, and state are the criteria that
should determine liquefaction susceptibility.
Historic criteria can be defined as whether or not a soil has been liquefied before. Youd
(1984) determined from post-earthquake field investigations that liquefaction tends to happen at
the same location when both the soil and the groundwater conditions are the same.
The three geologic factors that control liquefaction susceptibility are the environment of
deposition, the age of the deposited soil, and the depth of the water table (Youd & House, 1977)
Soils that were deposited in a fluvial environment are typically the most susceptible to
liquefaction. A soils susceptibility decreases with the age of the soil deposit. Observations of
liquefaction occurrences have confirmed that liquefaction tends to occur within relatively
shallow depths (less than 10 meters) and in a fully saturated environment.
Liquefaction susceptibility can also be judged on a soils composition. This is referred to as
the compositional criteria. Characteristics of a soils composition that are of particular interest
are those that are associated with high volume change potential. These characteristics are
typically associated with liquefaction susceptibility and include particle gradation, size, and
shape (Kramer, 1996). In the past, it was thought that liquefaction only occurred in sands. As
more data has been collected, researchers have observed that nonplastic silts have the potential to
liquefy. In 1978, Ishihara observed the failure of two dikes due to the liquefaction of the silt
tailings and has since concluded that coarse silts with bulky particle shape are susceptible to
liquefaction (Ishihara, 1984). Fine silts with plate-like particles are typically too cohesive to
liquefy. Clays, because of their high plasticity, are generally not susceptible.
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A soils gradation can determine whether or not liquefaction susceptibility exists. Typically,
soils that are well graded are less susceptible than soils that are poorly graded. A soils
predominant particle shape also influences the susceptibility. Round particles tend to densify
more than angular particles. The denser the soil, the more potential for volume change during an
earthquake event.
If a soil appears to be susceptible based on historic, geologic, and compositional criteria, it
still might not be susceptible if the state of the soil isnt ideal for liquefaction to occur. State
refers to a soils density and effective confining stress. Evaluating a soils state criteria is an
important aspect of determining liquefaction susceptibility since the tendency to generate excess
pore pressures is dependent on the present density and effective confining stress.
Even if a soil is determined to be susceptible based on the criteria discussed above, the soil
still might not experience liquefaction. Liquefaction needs to be initiated in a susceptible soil for
any significant soil deformations or strength loss to occur. Liquefaction initiation of a particular
soil can be performed in a laboratory, but is more commonly assessed in-situ using common
testing methods such as the SPT or CPT. A more thorough discussion of liquefaction
susceptibility and initiation can be found in Kramer (1996), and the reader is referred to that
source for additional information into the phenomenon, if desired.
Because only the probabilistic liquefaction triggering maps for Utah County are completed
by the OSU collaborators at the time that this report was prepared, the remainder of this report
will focus more on evaluating and mapping liquefaction effects, particularly lateral spread
displacement.
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Liquefaction Effects 1.2
1.2.1 Lateral Spread Displacement
Lateral spread is a phenomenon that occurs in certain soil types where seismically induced
liquefaction has occurred. Evidences of lateral spread can be seen when there are permanent
horizontal deformations of a site located on a slope or near a free-face. These deformations can
range from a few millimeters to more than 10 meters of horizontal movement (Coulter &
Migliaccio, 1996). In 1906, ground motions from an earthquake in San Francisco, California
caused significant lateral spreading. Bridges, roads, buildings, and pipelines were destroyed
(Youd and Hoose, 1978). Lateral spreading that measured over one meter caused by the 1989
Loma Prieta earthquake permanently damaged the Moss Landing Marine Laboratory (Boulanger
et al., 1997). These examples show how damaging the effects of lateral spreading can be, and
how important it is to take it into account when determining the seismic risk of a region of
interest.
There are several different procedures to predict the magnitude of lateral spread
displacements. In this research, an empirical Modified Multilinear Regression Model developed
by Gillins and Bartlett (2013) was used to quantify displacements. This empirical method was
developed through a statistical process called multi-linear regression where a database of lateral
spread case histories was used to statistically create a relationship between site-specific
geotechnical information, topographic parameters, and observed lateral spread displacements.
The actual Gillins and Bartlett (2013) model will be summarized in the next section.
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Lateral Spread Model 1.3
The three models to estimate lateral spread hazard are the following: (1) an empirical
model based on field observation, (2) a semi-empirical model based on both laboratory and field
data and (3) a numerical model based on the mechanics of liquefaction and lateral spread.
Empirical models use parameters like a soils thickness, density, fines content, and earthquake
loading. Semi-empirical models use soil density and earthquake loading to define the limiting
shear strain. Empirical regression models are the most popular in practice and among researchers
when estimating liquefaction-induced lateral spread displacements. This is because they are very
simple to use.
The method used in developing the lateral spread hazard maps for Utah County takes into
account the uncertainty of the input parameters of a multilinear regression (MLR) model and
produces a fully probabilistic lateral spreading seismic hazard curve at locations of interest in
addition to lateral spread displacements at specified return periods.
A model for predicting lateral spread was first developed by Bartlett and Youd (1992,
1995). They introduced an empirical equation for predicting lateral spread displacement at
locations susceptible to liquefaction. The equation was developed through multilinear regression
of a large case history database. Later, the MLR was updated with more case history data (Youd
et al., 2002). In this updated model, parameters such as soil thickness, fines content, and mean
grain size of saturated, granular sediment deposits with an (N1)60 are related directly to
horizontal displacement. Since soil parameters like fines content and mean grain size arent
typically available in standard geotechnical investigations, Gillins and Bartlett (2013), developed
a modified empirical equation based on the Youd et al. (2002) equation that replaces fines
content and mean grain size parameters with soil description factors. This allows investigators
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performing preliminary evaluations to make lateral spread displacement estimates using existing
geotechnical data with limited subsurface data. Eq. (1-1) shows the revised empirical model:
*
0 1 2 3 4 5 6 15,
0.252
H off csLogD b b b M b LogR b R b LogW b LogS b LogT
(1-2)
Where HD = estimated horizontal displacement (meters) from lateral spreading; M = moment
magnitude of the earthquake ( WM ); R = nearest horizontal or mapped distance from the site to
the seismic energy source (kilometers); and *R is a nonlinear magnitude-distance function
calculated by Eq. (1-2):
* 0.89 5.6410 MR R (1-3)
W = ratio of the height of the free face to the horizontal distance between the base of the free
face and the point of interest (%); 15,csT , the only geotechnical variable in Eq. (1-1), is
represented by Eq. (1-3):
1 2 3 4 515, 15
0.683 0.200 0.252 0.040 0.535 0.25210 ^
0.592cs
x x x x xT T
(1-4)
Where 15T = cumulative thickness (meters) of saturated, cohesionless deposits in the soil profile
with corrected SPT blow counts, and nx is the thickness (in meters) of soil layer n (up to 5)
contributing to 15T divided by 15T . Eq. (1-1) has the following partial regression coefficients
based on regression of the case history database of Youd et al. (2002):
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Table 1-A: Gillins and Bartlett (2014) Empirical Regression Model Coefficients for Lateral
Spreading Displacement Prediction
Model b0 b1 b2 b3 b4 b5 b6
Ground - Slope -8.208 1.318 -1.073 -0.016 0 0.337 0.592
Free Face -8.552 1.318 -1.073 -0.016 0.445 0 0.592
Performance Based Lateral Spread Model 1.4
In this research, lateral spread mapping needs to encompass uncertainty in earthquake size,
location, and ground motion parameters. Franke and Kramer (2014) recommend simplifying Eq.
(1-1) to Eq. (1-4).
HLogD L G (1-5)
Eq. (1-5) describes the site loading (L), geometry (G), and model uncertainty (). Incorporating
all of the uncertainty in Gillins and Bartlett (2014) empirical model for lateral spread, a
performance-base model can be defined below in Eq. (1-5).
|
1
( | ) ( | , )L
H i
N
D S H i L
i
d G P D d G L
(1-6)
LN is the number of loading parameter bins in range of possible L values. Rather than only
considering a single scenario (a DSHA analysis), a fully probabilistic approach is implemented
by binning various L values containing all combinations of magnitude and distance considering
all known earthquake scenarios.
To implement this approach for mapping lateral spread in Utah County, several input raster
datasets are needed. The types of datasets needed are the following: (1) seismic inputs containing
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loading parameter raster maps at different return periods processed with EZ-FRISK software for
the study area; (2) All topographic inputs including DEM, slope geometry maps, and free-face
maps; and (3) geotechnical inputs in the form of a subsurface database for the region.
Mapping Liquefaction Effects 1.5
1.5.1 Hazard Mapping
Since liquefaction and ground failure due to liquefaction is one of the main causes of
damage to infrastructure during an earthquake event, it is beneficial to have a map that shows the
risk of liquefaction induced ground failure in any given region. Maps that delineate an
approximate hazard allow city planners and engineers to identify vulnerable locations and
determine what needs to be done to mitigate the hazard. These types of maps have been
developed throughout seismically active zones such as California, including the San Francisco
Bay area (Youd and Perkins 1986; Kavazanjian et al. 1985), the Los Angeles Basin (Youd et al.
1978; Tinslet et al. 1985), and the San Diego area (Power et al. 1982, 1986). Mapping efforts
have typically been qualitative and based on geology since surficial geologic units have been
shown to correlate reasonably well with liquefaction susceptibility (Youd & Perkins, 1978).
Liquefaction triggering and lateral spread displacement for hazard maps have typically
been based on a single ground motion scenario. This is considered a deterministic approach
and was used in 2007 by Olsen to develop lateral spread displacement maps for Salt Lake
County, Utah. Deterministic seismic hazard analysis provides a straightforward method to
estimate what is often intended to be a worst-case scenario ground motion. One disadvantage
of the DSHA approach is that it does not take into account the occurrence likelihood of the
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scenario earthquake. Probabilistic seismic hazard analysis (PSHA) provides a more complete
analysis of the likelihoods of ground motion exceedance at a given site. PSHA allows
uncertainties in the location, size, and rate of recurrence of earthquakes to be considered as a part
of the evaluation and determination of seismic hazards (Kramer, 1996). This research
incorporated PSHA ground motions computed by the 2008 update of the U.S. Geological Survey
(USGS) national seismic hazard maps rather than a DSHA-based approach.
More robust mapping methods also take into account site-specific data. This methodology
is referred to as a geotechnical approach rather than a geological approach. Site-specific
hazard assessment of liquefaction triggering and lateral spread displacement require subsurface
information (SPT, CPT, lab data), site topography, and seismic loading information. To map a
more accurate assessment of liquefaction triggering and lateral spread hazard in a certain region
compared to traditional hazard maps, subsurface data, site topography, and seismic loading for a
certain site need to be determined and accounted for.
Research by Holzer (2008) has suggested that a probabilistic approach to site-specific
liquefaction hazard assessment tends to yield more reliable estimates of liquefaction hazard than
conventional approaches. This research develops a new method to map lateral spread hazard
based on probabilistic seismic hazard analysis of the region, site geology, a database of available
SPTs, groundwater measurements, and digital elevation models from high-resolution LiDAR
data. The methodology accounts for variations in seismic loading, topography, subsurface
geotechnical conditions, sediment age and type, spatial dependence, and uncertainty of
earthquake magnitude and source-to-site distance. To account for uncertainty in all of the
parameters, a random sampling method known as Monte Carlo simulations at each raster cell is
used.
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This research incorporated PSHA ground motions computed by the 2008 update of the U.S.
Geological Survey (USGS) national seismic hazard maps rather than a DSHA-based approach.
1.5.2 Need for Updated Hazard Maps in Utah County
Many locales along the Wasatch Front are at risk of experiencing significant liquefaction
effects in the event of an earthquake event. The geologic environment of the Wasatch Front has
produced a considerable amount of loose, saturated, cohesionless soils; these types of soils
present a high risk of being liquefiable if an earthquake were to occur. In a study by the Utah
Geological Survey, it has been determined that multiple prehistoric liquefaction-induced lateral
spread and flow failure occurrences have occurred along the Wasatch Front (Harty, 2003). These
historical criteria would imply that there is a risk of the same soils liquefying again, as discussed
above.
Using maps to delineate liquefaction hazards along the Wasatch Front is a research effort
that began in the 1980s when the National Earthquake Hazards Reduction Program (NEHRP)
funded Utah State University to map liquefaction triggering hazard in Davis County (Anderson
et al. 1994). Since 1994, there have been several developments that have justified the creation of
new, updated maps for not only Davis County, but all of the counties in Utah. These
developments include: (1) progress in probabilistic liquefaction triggering and lateral spread
analyses ((e.g., Cetin et al. 2004, Moss et al. 2006, Bartlett et al. 2005, Bartlett et al. 2010); (2)
updated probabilistic strong ground motion estimates via the USGS National Seismic Hazard
Mapping Project (Peterson et al. 2008); (3) larger amounts of quality geotechnical data; (4)
support from the National Cooperative Geologic Mapping Program to federal, state, and
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university partners to produce digital surficial geologic maps; and (5) widespread use of
Geographic Information Systems (GIS) to create and analyze spatial databases (Gillins, 2012).
Traditional liquefaction hazard maps such as Anderson et al. (1994) use vague and generic
qualifiers such as high to very low to quantify hazard. Figure 1-1 shows a hazard map by
Anderson et al (1994) that illustrates this. These vague quantifications can cause inconsistencies
in interpretations and implementations. An actual measurement of ground displacements would
help alleviate this problem. In this study, the probability of exceeding certain displacement
values was computed in the development of the probabilistic lateral spread hazard maps.
This research focuses on the development of a subsurface database that will be used to
generate probabilistic liquefaction triggering and lateral spread hazard maps for Utah County.
This study is a continuation of a 10 year-long research effort that was initiated by the University
of Utah. Olsen et al. (2007) developed maps for an M7.0 scenario earthquake for the Salt Lake
portion of the Wasatch Fault. In 2012, Gillins performed a probabilistic regional mapping
assessing hazard levels of liquefaction-induced ground failure in Weber County, Utah. For this
research, Dr. Dan Gillins and Mahyar Sharifi-Mood from OSU have been primarily responsible
for the development of the probabilistic liquefaction triggering and lateral spread maps. The
remainder of this report will therefore just focus on the development of the geotechnical database,
which is arguably the most critical and necessary component for the completion of the
probabilistic liquefaction triggering and lateral spread hazard maps.
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Figure 1-1: Traditional Liquefaction Hazard Map for Utah Valley (Anderson et al, 1994)
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DATA COLLECTION 2
Introduction 2.1
To create a lateral spread displacement hazard map, a subsurface database needs to be
developed. A subsurface database for Utah County was created following the methods developed
and used by Bartlett (2010) and Gillins (2012) for Salt Lake and Weber counties respectively.
The following sections will outline the database structure, how the data was collected, database
statistics, and how the lateral spread maps were produced.
Data Collection 2.2
The subsurface geotechnical data that was collected was in the form of SPT boring logs
and CPT soundings. The collection of Utah County soil boring logs and CPT soundings required
the participation of multiple engineering firms and their clients, as well as government agencies.
These agencies included Utah Department of Transportation (UDOT), Utah Geological Survey
(UGS), Central Utah Water Conservancy District (CUWCD) in addition to local city
governments. The research group was given a letter from The Church of Jesus Christ of Latter-
Day Saints addressed to its former geotechnical engineering consultants that requested the
release of all geotechnical subsurface information (soil boring, cone penetration soundings, shear
wave velocity profiles, and test pits) to our research group for the development of probabilistic
liquefaction and lateral spread hazard maps for Utah County. The letter was sent to the
geotechnical consultants that performed work for the LDS church in the past. Many of these
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geotechnical consultants were accommodating and allowed the research team to go into their
offices to electronically copy all the geotechnical reports that they had written for the LDS
church.
The data required to make the maps include site geology basemaps, slope information from
a LiDar DEM, free-face information from a LiDar DEM, geotechnical investigations, and
probabilistic seismic hazard curves. Site geology maps were obtained from the Utah Geological
Survey. 30 x 60 quadrangle maps were used. The Lidar DEMs have a resolution of
approximately 0.5 meters. All data from geotechnical investigations was input into a Microsoft
Access database. Tables A1-A4 describe the data that was of interest and was entered. Once the
logs were entered into the database, the location of the log was plotted on a GIS map which
revealed what areas of Utah County could benefit from additional geotechnical information.
The SPT boring logs provided at least soil descriptions and classifications, layer
delineations, and uncorrected SPT blow counts (N). Additionally, some of the logs reported lab
measurements such as fines contents, Atterberg limits, unit weights, and moisture contents. Most
of the logs reported the depth to ground water if it was encountered. Raw SPT blow counts were
corrected to 1,60N following the procedures in Idriss and Boulanger (2008). To quantify the
quality of the data, a ranking was assigned to each measured soil property. A value of 1 was
assigned to data that was found on the original bore log. A value of 2 was assigned if the
information could be estimated from a nearby bore log in the same report or a close region. A
value of 2 was also assigned to ground water depths that were not measured at completion. A
value of 3 was assigned if the data was not trustworthy most often because the information was
inferred from a similar report. Figure 2-1 shows an example of a typical bore log that was
entered into the subsurface database.
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The CPT soundings have measurements of friction ratio, sleeve friction, cone-tip resistance,
and pore water pressure. Most of the CPT soundings also had a pore-water pressure dissipation
test that gave an estimation of the depth of groundwater. Only CPT soundings where electronic
data was available were entered into the database. No digitizing of graphical CPT soundings was
performed Figure 2-2 shows an example of a typical CPT sounding that was input into the
subsurface database. To preserve the confidentiality of the clients and the sites, information was
redacted.
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Figure 2-1: Typical SPT Bore Log
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Figure 2-2: Typical CPT Sounding
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Overall, 753 borehole logs and 39 CPT soundings in the study area were collected,
digitized, and stored into a GIS. The map in Figure 2-3 shows the spatial location of each point
as well as the major geologic units that will be studied in this research (as categorized and
described in Table 2-A), the SPT borings, active faults, rivers, lakes, and main UDOT routes. It
is important to note that the geologic units on mountainous terrain are assumed to consist of
dense soil with a deep groundwater table. Thus, we consider liquefaction in mountainous areas
highly unlikely. Theoretically, perched groundwater in mountainous regions can lead to localized
liquefaction triggering, but this case was generally not accounted for in the subsurface database.
The Microsoft Access
database itself has the following four sheets: SITE, BLOW,
SITECPT, and CPTDATA. The SITE and BLOW sheets contain information for SPT bore logs.
The SITECPT and CPTDATA sheets contain information for the CPT soundings. More
information on the structure of the database can be found in Appendix 1.
To fill in the gaps for grid points that didnt have data, distributions of relevant geotechnical
data (dry unit weight, fines and moisture content) were produced with respect to general soil type.
These distributions were created by graphing the value of the geotechnical soil properties verses
the number of occurrences of that specific value of the soil properties for a specific soil type. The
soil types considered were fine gravels, gravels and sands, clean sands, silty sands, sandy silts,
and clays. The soil properties considered were dry unit weight, fines content and moisture
content. These distributions can be seen in Figures 2-4, 2-5 and 2-6. The completed database can
be found in Apendix 2.
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Table 2-A: Geologic Units in Study Area, Descriptions, Approximate Age, and Sample Size
Deposit
Symbol Description Age*
#SPT
1. Stream Alluvium
Qal Modern stream alluvium Holocene 33
2. Stream-Terrace Alluvium
Qat1 Stream-terrace alluvium, lowest terrace levels Holocene - UP 7
Qat2 Stream-terrace alluvium, medium terrace levels Holocene - UP 4
Qat3 Stream-terrace alluvium, highest terrace levels Holocene - UP 1
3. Alluvial Fan - Old
Qafb Transgressive (Bonneville) Lake Bonneville-age UP 1
Qafm Intermediate Lake Bonneville-age alluvial fan UP to middle P 21
Qafp Regressive (Provo) Lake Bonneville-age alluvial fan UP 10
4. Alluvial Fan Young
Qafy Younger alluvial-fan Holocene 171
5. Delta
Qdb Near Bonneville shoreline of Lake Bonneville UP 1
Qdp Near and below Provo shoreline of Lake Bonneville UP 13
6. Fine-Grained Lacustrine
Qlf Fine-grained lacustrine from Lake Bonneville UP 194
Qly Young lacustrine along margins of Utah Lake; less than 6 m thick
and overlies Qlf unit Holocene UP 6
Qsm Fine, organic-rich sediment from springs, marshes, seeps; less
than 3 m thick and overlies Qlf unit Holocene UP 1
7. Lacustrine Sand
Qls Lacustrine sand below Bonneville and Provo shorelines UP 100
Qes Eolian sand; 1-1.5 m thick and derived from Qls unit Holocene - UP 7
8. Landslides
Qmsy Modern landslide, currently or recently active Holocene 6
Qms Modern landslide Holocene 2
9 14. Others
Qlg Lacustrine gravel and sand near Bonn. and Provo shorelines Uppermost P 21
Qfdp Lake Bonneville alluvial-fan and delta, Provo stage Uppermost P 61
Qh Human disturbance fill for major interstate and highways Historic 53
Qla Lacustrine and alluvial, undivided Holocene UP 20
Qay Alluvial fan and terrace post-Provo shoreline of Lake Bonn. Holocene UP 13
Qac Alluvium and colluvium, undivided Quaternary 7
* = UP = Upper Pleistocene; P = Pleistocene
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22
Figure 2-3: Generalized geology and location of SPT boreholes in the study area, Utah
County, Utah (See Table 1 for a description of the 14 generalized geologic units in the study
area)
-
23
Figure 2-4: Distributions of Dry Unit Weight According to General Soil Type
-
24
Figure 2-5: Distributions of Fines Content According to General Soil Type
-
25
Figure 2-6: Distributions of Moisture Content According to General Soil Type
-
26
-
27
OVERVIEW OF MAPPING METHODOLOGY 3
Mapping Probabilistic Lateral Spread in Utah County 3.1
Mapping of lateral spread displacement for Utah County was completed by researchers at
Oregon State University. A general overview of their procedure used in the map development is
outlined in Figure 3-1.
Figure 3-1: General Procedure of Mapping Probabilistic Lateral Spread Displacement
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28
Following the flow chart in Figure 3-1, the steps for mapping probabilistic lateral spread in
Utah County were the following:
Step 1: Geology input was created as a raster grid file in ArcGIS. It relates each pixel in
the mapping study area to one of the existing geology groups. The spatial resolution of this raster
is 30 meters by 30 meters.
Step 2 and 3: A very high resolution digital elevation model (DEM) based on aerial LiDar
data (0.5 meter spatial resolution) was downloaded from the AGRC website. Using the
aforementioned high resolution DEM, the percent ground slope on the sloping terrain is
computed, and the location of the major free-faces in the study area is digitized. With the free-
faces digitized, another raster was computed that depicts the free-face ratio, W, for the study area.
A 30 meters pixel size is selected as the spatial resolution of these raster maps.
Step 4: 15,csT probability distributions are created for all 14 geologic units in the study
area by running 300 Monte Carlo simulations at each borehole. Later a randomly selected 15,csT
value was chosen for each pixel given the geology at that pixel.
Step 5: Hazard curves for L were computed in the study area at a spacing of 0.05 degrees
longitude. Figure 3-2 presents an example of hazard curves for L at different site locations
outlined below. L values at multi-site points spaced every 0.05 degrees are computed using EZ-
FRISK software. A series of raster maps in the study area were then computed by performing a
bilinear interpolation for various return periods of L (i.e., 100, 275, 475, 1000, 2500, 5000, and
10000). Figure 3-3 presents the generated loading parameter maps (1000, 2500 and 5000 return
period) for specific locations that represent the four major quadrants of Utah County.
-
29
Figure 3-2: Example of Hazard Curves for the Loading Parameter L
0.0001
0.001
0.01
5 6 7 8 9
Me
an A
nn
ual
Rat
e o
f Ex
cee
dan
ce,
L
Loading Parameter, L
4 - North 3 - East
1- West 2 - South
-
30
Figure 3-3: Loading Parameter Maps for Different Return Periods
-
31
Step 6: The probability of occurrence for loading parameters are computed from their
mean annual rate of exceedance in the seismic hazard curves and a randomly selected loading
parameter is chosen to present the loading condition for the current pixel. Given, loading
parameter value (L) and known geometry condition (G, slope value and free-face ratio) from the
created input datasets at each pixel mean value of HLogD can be calculated per Eq.(3-1).
HLogD L G (3-1)
Step 7: The Gillins and Bartlett (2014) empirical regression equation uncertainty (HLogD
= 0.252) is modeled by generating a random value of randK from a standard normal distribution.
The HLogD value for the current pixel can now be estimated using Eq. (3-2).
HH H LogD randLogD LogD K (3-2)
Step 8: At any given pixel of the study area map, 10,000 Monte Carlo simulations are
performed which repeats steps 4 through 7.
Step 9 and 10: Having lateral spreading displacement distributions completed, seismic
hazard curves are developed by converting probabilities in the distribution to mean annual rate of
exceedances in hazard curves using Eq. (3-3).
t1P e (3-3)
Step 11: : Lateral spreading displacement corresponding to 2% in 50 years and 10% in
100 years probabilistic scenarios are calculated by constructing cumulative distribution function
(CDF) for each raster cell and selecting the appropriate percentile with respect to these scenarios.
Given the created DH seismic hazard curves, lateral spreading displacement values
corresponding to 1033 and 2475 years return periods (=1/T) are computed and assigned to the
current pixel.
-
32
Step 12: Steps 1 through 11 will be performed again for the next pixel until the whole
study area is covered and maps are ready to be produced and visualized in ArcMap.
-
33
RESULTS AND CONCLUSIONS 4
Final Probabilistic Lateral Spread Hazard Maps 4.1
The following section shows the results of the probabilistic lateral spread analysis outlined
above. Figure 4-1 shows the 1033 year return period probabilistic lateral spread hazard maps.
Figure 4-2 shows the 2475 year return period probabilistic lateral spread hazard maps. 475 year
return period maps were not developed because the 1033 year return period map analysis already
predicted low lateral displacement hazard across most of Utah County.
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34
Figure 4-1: Probabilistic Lateral Spread Hazard Map for Utah County, 1033 Year Return
Period
-
35
Figure 4-2: Probabilistic Lateral Spread Hazard Map for Utah County, 2475 Year Return
Period
-
36
Conclusions 4.2
Based on the map in Figure 4-1, a 1033 year return period earthquake scenario will
unlikely see displacements greater than 0.3 m; most of Utah County wont likely experience
displacements greater than 0.1 m. In an earthquake scenario with a 2475 year return period,
most of Utah County will likely see displacements less than 0.3 m, but there are some regions
that could see displacements up to 1 m (see Figure 4-2).
The current maps produced clearly display which regions of Utah County have the
highest hazard quantitatively. These maps should be used for (1) preliminary consideration of
lateral spread hazards prior to the availability of site-specific geotechnical data, (2) public policy
and (3) consideration and development of geotechnical site exploration plans. These maps should
not be used to make geotechnical engineering recommendations without a site-specific
liquefaction hazard analysis.
Liquefaction triggering maps were still in development at the time this report was written,
which is why they are not included in this report. However, the same geotechnical database
described in this report is being used in their creation by OSU researchers.
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37
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Dynamics , 1-105.
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Anderson, L. R., Keaton, J. R., Spitzley, J. E., & Allen, A. C. (1986). Liquefaction Potential Map
for Salt Lake County, Utah Contract No. 14-08-0001-19910. U.S.G.S.
Bartlet, S. F., Gerber, T. M., & Hincklet, D. (2010). Probabilistic Liquefaction Potential and
Liquefaction-Induced Ground Failure Maps for the Urban Wasatch Front: Phase IV,
Fiscal Year 2007: Collaborative Research with Unversity of Utah and Brigham Young
University. Denver, CO: U.S.G.S.
Bartlett, S. F., & Youd, T. L. (1992). Empirical Analysis of Horizontal Ground Displacement
Generated by Liquefaction-Induced Lateral Spreads, Technical Report NCEER-92-0021.
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Earthquake. Journal of Geotechnical and Geoenvironmental Engineering , 453-467.
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Grained Soils. Journal of Geotechnical and Geoenvironmental Engineering, Vol 132(9),
1165-1177.
Casagrande, A. (1936). Characteristics of Cohesionless Soils Affecting the Stability of Slopes
and Earth Fills. Jounral of the Boston Society of Civil Engineers, 257-276.
Castro, G. (1969). Liquefaction of Sands. Harvard Soil Mechanics Series 87.
Cetin, K. O., Seed, R. B., Kiureghian, A. D., Tokimatsu, K., Harder, L. F., Kaven, R. E., & Moss,
R. E. (2004). Standard Penetration Test-Based Probabilistic and Deterministic
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Assessment of Seismic Soil Liquefaction Potential. Journal of Geotechnical and
Geoenvironmental Engineering, Vol 130(12), 1314-1340.
Coulter, M., & Migliccio, L. (1996). Effects of the Earthquake of March 27, 1964 at Valdez,
Alaska Proffessional Paper 542-C. Washington, DC: U.S.G.S .
Engineering, R. (2010). EZ-FRISK version 7.43. Boulder, CO.
ESRI. (2011). ArcGIS Desktop: Release 10. Redlands, CA.
F., B. S., Olsen, M. J., & Solomon, B. J. (2005). Probabilistic Liquefaction Potential and
Liquefaction-Induced Ground Failure Maps for the Urban Wasatch Front: Collaborative
Research with the University of Utah, Utah State University and the Utah Geological
Survey, Phase I, FY2004. Reston, VA: U.S.G.S.
Franke, K., & Kramer, S. (2014). Procedure for the Empirical Evaluation of Lateral Spread
Displacement Hazard Curves. Journal of Geotechnical and Geoenvironmental
Engineering, 140(1), 110-120.
Gillins, D. T. (2012). Mapping the Probability and Uncertainty of Liquefaction-Induced Ground
Failure, Ph.D Dissertation. Salt Lake City, UT: Department of Civil and Environmental
Engineering, University of Utah.
Gillins, D. T., & Bartlett, S. (2013). Multilinear Regression Equations for Predicting Lateral
Spread Displacements from Soil Type and Cone Penetration Test Data. Jounral of
Geotechnical and Geoenvironmental Engineers, Vol 141(4).
Hart, K. M., & Lower, M. (2003). Geologic Evaluation and Hazard Potential of Liquefaction-
Induced Landslides along the Wasatch Front, Utah. Salt Lake City, UT: UGS.
Hinckley, D. (2010). Liquefaction-Induced Ground Displacement Mapping for the Salt Lake
Valley, Utah . Dept. of Civil and Env. Eng., University of Utah.
Holzer, T. L. (2008). Theme paper-Probabilistic Liquefaction Hazard Mapping. Geotech-
Earthquake Eng Soil Dyn IV, GSP 181.
Idriss, I. M., & Boulanger, R. W. (2008). Soil Liquefaction During Earthquakes. Oakland, CA:
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Engineering. 3, pp. 1129-1143. St. Louis, MO: University of Missouri.
Kavazanjian, E. M., Roth, R. A., & Heriverto, E. (1985). Liquefaction Potential Mapping for San
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Moss, R. E., Seed, R. B., Kayen, R., Stewart, J. P., Kiureghian, A. D., & Cetin, K. O. (2006).
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132(8).
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Liquefaction Susceptibility in the San Diego, California Urban Area-Final Technical
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Youd, T. L. (1984). Recurrence of Liquefaciton at the Same Site. 8th World Conference on
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Youd, T. L., & Perkins, J. B. (1987). Liquefaction Susceptibility Map of San Mateo County,
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for Prediction of Lateral Spread Displacement. Jounral of Geotechnical and
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Studies for Seismic Zonation of the San Francisco Bay Area (Professional Paper 941-A).
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Youd, T. L., Tinsley, J. C., Perkins, D. M., King, E. J., & Preston, R. F. (1978). Liquefaction
Potential Map of San Fernando Valley, California. Proceedings on International
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41
APPENDIX 1.
Table A 1: Description of Data Fields for Site Table
Field Name Description Units
BOREELEV Surface elevation of SPT borehole feet
BORING Identification of borehole listed on SPT log [text]
BoreDiam Diameter of borehole inches
BoreDiamEs Quality indicator of diameter of borehole: 1 = directly from log; 2 = from log
drilled by same rig and driller
DATE_ Date of borehole [text]
DEPTHGW Depth to groundwater table feet
DRILLER Name of company who drilled the borehole [text]
DRILLMETH Drilling method [text]
ELEVEST Quality indicator for elevation of borehole: 1 = directly from log; 2 =
estimated from nearby log; 3 = from maps
GWDATE Date of depth to groundwater measurement [text]
GWEST
Quality indicator of depth to groundwater measurement; 1 = directly from log
at least 24 hours after drilling; 2 = from log but date not listed; 3 = from
nearby log
HAMMER_TYP Hammer type (i.e., safety, donut, or automatic) [text]
LATITUDE NAD 1983 latitude (in decimal degrees) degree
LATITEST Quality indicator of measurements of latitude and longitude: 1 = directly from
log; 2 = scaled from maps
LONGITUDE NAD 1983 longitude (in decimal degrees) degree
NCORR True/False whether SPT N-values on logs were already corrected to N1,60
NOTES Notes and other information [text]
REFERENCE Name of folder containing scanned images of SPT logs
REPORT Name of report where SPT log can be found [text]
RIGTYPE Type of drill rig used by drillers [text]
SITEIDNO Identification number assigned to SPT (link to BLOW table)
SITENAME Name of facility or address where SPT was performed [text]
EASTING NAD 1983, UTM Zone 12 easting meters
NORTHING NAD 1983, UTM Zone 12 northing meters
CE Mean correction for hammer energy ratio : 1 = safety; 1.1 = automatic.
Apply to correct raw SPT blow counts to N1,60
CB Correction for borehole diameter. Apply to correct raw SPT blow counts to
N1,60
GEOLUNIT Mapped surficial geologic unit where SPT was performed [text]
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42
Table A 2: Description of data fields for BLOW Table
Field Name Description Units
BOREIDNO Identification of boring listed on SPT log [text]
COMMENTS Comments or additional information [text]
DEPTH Depth to middle of sample or depth to boundary line between layers feet
DRYUNIT Dry unit weight of sample kN/m3
DRYUNITPCF Dry unit weight of sample in pounds per cubic foot pcf
ESTATT* Quality indicator for Atterberg limits of sample
ESTDRY* Quality indicator for dry unit weight of sample
ESTFINES* Quality indicator for fines content of sample
ESTMOIST* Quality indicator for moisture content of sample
ESTNM* Quality indicator for SPT blow counts for bottom 12 inches (0.3 m)
of sample
ESTUSCS* Quality indicator for classification of sample according to the
Unified Soil Classification System
ESTWET* Quality indicator for wet unit weight of sample
FINES Fines content of sample (percent of sample passing a U.S. Standard
No. 200 sieve)
%
LIQUIDLIMIT Liquid limit of sample %
MOISTURE_
CONTENT
Moisture content of sample %
N160 Corrected SPT blow counts (N1,60) from borehole log for bottom 12
in. (0.3 m) of sample
NVALUE Uncorrected SPT blow counts for bottom 12 in. (0.3 m) of sample
(more common than N160)
PERGRAVEL Percent of sample retained on a No. 4 sieve %
PERSAND Percent of sample passing a No. 4 sieve and retained on a No. 200
sieve
%
PLASTICINDEX Plastic index of sample %
PLASTICLIMIT Plastic limit of sample %
SAMPLER Type of sampler: CS or MCAL = modified California; DM = Dames
& Moore; SH = thin-walled Shelby tube; SS = split-spoon (standard
for SPT)
SAMPLEREST Quality indicator for properties of sampler
SAMPLER-
LENGTH
Length sample retained in the sampler feet
SAMPLER_
OUTSIDE_
DIAMETER
Outside diameter of sampler inches
SITEIDNO Identification number assigned to SPT (link to SITE table)
SOILTYPE Description of soil sample from log; blank values indicate boundary
lines between layers
[text]
SPGRAV Specific gravity of sample
USCS Unified Soil Classification System [text]
WETUNIT Wet unit weight of sample pcf
WCLASS Index assigned to sample for estimating its unit weight
MCLASS Index assigned to sample for estimating its moisture class
SGCLASS Index assigned to sample for estimating its specific gravity
N60CE SPT blow counts for bottom 12 in. (0.3 m) of sample, corrected for
rod length, sampler liner, sampler type, and borehole diameter (but
not for energy ratio, CE)
SOIL_INDEX Soil index of sample (SI) * = A value of: 1 = directly from log; 2 = from nearby log in same report; 3 = from nearby log of different report; 9 = from log but likely
inaccurate
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43
Table A 3: Description of data fields for SITECPT Table
Field Name Description Units
CONEID Identification number of cone used for test [text]
CPTIDNO Identification number assigned to CPT
DATE_ Date of sounding [text]
DEPTHGW Depth to groundwater table feet
ELEV Surface elevation of CPT sounding feet
ELEVEST Quality indicator for elevation of sounding: 3 = from map
GWEST Quality indicator of depth to groundwater measurement; 1 = from
pore-water dissipation (PPD) test; 2 = from nearby PPD test ; 3 =
interpolated between PPD tests
LATITUDE NAD 1983 latitude (in decimal degrees) degree
LATITEST Quality indicator of measurements of latitude and longitude: 1 =
directly from log; 2 = scaled from maps; 3 = scale from maps of
lesser quality
LONGITUDE NAD 1983 longitude (in decimal degrees) degree
PROJECT Name of folder containing raw CPT data
REPORT Name of report where CPT log can be found [text]
SOUNDING Identification of CPT sounding from logs [text]
SOURCE Name of company who performed the CPT [text]
AREA_RATIO Net area ratio of the cone
EASTING NAD 1983, UTM Zone 12 easting meters
NORTHING NAD 1983, UTM Zone 12 northing meters
INCREMENT Change in depth between CPT measurements meters
GEOLUNIT Mapped surficial geologic unit where CPT was performed [text]
Table A 4: Description of data fields for CPTDATA Table
Field Name Description Units
CPTIDNO Identification number assigned to CPT (link to SITECPT table)
DEPTH Depth below ground surface feet
PRESSURE Pore-water pressure behind tip of cone (in feet of head) feet
QC Cone tip resistance tsf
QT Cone tip resistance corrected for pore-pressure effects tsf
SLEEVE Sleeve friction tsf
SOUNDING Identification of CPT sounding from logs [text]
UBT Pore-water pressure behind tip of cone (in tsf) tsf
FRATIO Friction ratio (SLEEVE/QT*100) %
DEPTHM Depth below ground surface, in meters meters
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44
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45
APPENDIX 2. UTAH COUNTY SUBSURFACE DATABASE
-
ID1 ID SITEIDNO BOREELEV BORING BoreDiam BoreDiamEs DATE_ DEPTHGW DRILLER1 1 1 4,563.98 1 3.9 1 9/22/1999 7.1 UDOT2 2 2 4,545.60 2 3.9 1 9/24/1999 6.7 UDOT3 3 3 4,581.04 3 3.9 1 10/8/1999 6.1 UDOT4 10 10 4,583.01 1 4 1 1/14/2009 18.3 UDOT5 11 11 4,604.00 2 4 1 1/29/2009 20 UDOT6 12 12 4,507.87 1 3 1 10/19/1993 6.2 UDOT7 13 13 4,514.11 3 3 1 10/30/1993 8.7 UDOT8 14 14 7,200.00 2 4 1 10/30/2003 2.8 UDOT9 15 15 7,193.00 4 4 1 11/14/2003 2.8 UDOT10 16 16 4,838.25 1 3 1 5/2/1984 5.2 UDOT11 17 17 4,842.85 2 3 1 5/7/1984 6.1 UDOT12 18 18 4,771.65 TH2 6 3 9/23/2002 16.5 Earthcore13 19 19 4,768.37 TH3 6 3 9/23/2002 21 Earthcore14 20 20 4,762.14 TH4 6 3 9/23/2002 16.5 Earthcore15 21 21 4,945.54 TH1 6 3 12/6/2004 10.5 Earthtech16 22 22 4,945.54 TH2 6 3 12/6/2004 16.5 Earthtech17 23 23 4,948.16 TH3 6 3 12/6/2004 6 Earthtech18 24 24 4,954.40 TH4 6 3 12/6/2004 8.5 Earthtech19 25 25 4,956.04 TH5 6 3 12/6/2004 20 Earthtech20 26 26 4,961.29 TH6 6 3 12/6/2004 12.3 Earthtech21 27 27 4,972.44 TH7 6 3 12/6/2004 12 Earthtech22 28 28 4,974.08 TH8 6 3 12/6/2004 16.5 Earthtech23 29 29 4,962.27 TH9 6 3 12/6/2004 21.5 Earthtech24 30 30 4,521.33 TH1 6 3 2/1/2005 3.5 Racon25 31 31 4,519.03 TH2 6 3 2/1/2005 5.3 Racon26 32 32 4,518.70 TH3 6 3 2/1/2005 5.6 Racon27 33 33 4,516.08 TH4 6 3 2/1/2005 4 Racon28 34 34 4,514.76 TH5 6 3 2/1/2005 3.3 Racon29 35 35 4,516.73 TH6 6 3 2/1/2005 4.5 Racon30 36 36 4,521.65 TH8 6 3 2/1/2005 3.8 Racon31 37 37 4,813.32 TH1 6 3 1/7/2008 16.5 Racon32 38 38 4,805.12 TH2 6 3 1/7/2008 10.5 Racon33 39 39 4,811.35 TH3 6 3 1/7/2008 15.5 Racon34 40 40 4,787.73 TH5 6 3 1/7/2008 16.5 Racon35 41 41 4,817.59 TH8 6 3 1/7/2008 6.5 Racon36 42 42 4,526.90 TH1 6 3 1/3/2008 13.5 Racon37 43 43 4,527.89 TH4 6 3 1/3/2008 16.5 Racon38 44 44 4,527.89 TH5 6 3 1/3/2008 15 Racon39 45 45 4,527.89 TH7 6 3 1/3/2008 11 Racon40 46 46 4,528.54 TH8 6 3 1/3/2008 12 Racon41 47 47 4,571.19 TH2 6 3 1/4/2008 31.5 Racon42 48 48 4,576.12 TH3 6 3 1/4/2008 31.5 Racon43 49 49 4,573.16 TH5 6 3 1/4/2008 16.5 Racon44 50 50 4,575.79 TH7 6 3 1/4/2008 6.5 Racon45 51 51 4,584.97 TH1 6 3 3/18/2010 6.5 GreatBasin46 52 52 4,587.60 TH3 6 3 3/18/2010 6.5 GreatBasin47 53 53 4,587.27 TH4 6 3 3/18/2010 16.5 GreatBasin48 54 54 4,595.14 TH7 6 3 3/18/2010 6.5 GreatBasin49 55 55 4,586.94 TH8 6 3 3/18/2010 16.5 GreatBasin50 56 56 4,588.25 TH9 6 3 3/18/2010 16.5 GreatBasin51 57 57 4,588.58 TH10 6 3 3/18/2010 24 GreatBasin52 58 58 4,543.64 B1 6 3 6/13/2002 9 Terracon53 59 59 4,546.92 B2 6 3 6/13/2002 9 Terracon54 60 60 4,547.90 B3 6 3 6/13/2002 9 Terracon
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DRILLMETH ELEVEST GWDATE GWEST HAMMER_TYP LATITUDE LONGITUDE LATITEST NCORR NOTESRB 3 9/24/1999 1 Automatic 40.274914 111.722103 2RB 3 10/7/1999 1 Automatic 40.270642 111.719289 2RB 3 10/14/1999 1 Automatic 40.274878 111.7154 2RB 3 1/20/2009 1 Automatic 40.056393 111.732041 2RB 3 2/3/2009 1 Automatic 40.054746 111.732671 2RB 1 10/21/1993 1 Automatic 40.206546 111.656813 2RB 1 11/2/1998 1 Automatic 40.206351 111.660991 2RB 3 10/31/2003 1 Automatic 39.843517 110.998139 2RB 3 11/14/2003 3 Automatic 39.843956 110.995797 2RB 3 5/3/1984 2 Automatic 40.082603 111.58821 2RB 3 5/8/1984 1 Automatic 40.082538 111.589311 2
HollowStem 3 9/23/2002 2 Automatic 40.401861 111.929847 2 GWTnotHollowStem 3 9/23/2002 2 Automatic 40.40205 111.928622 2 GWTnotHollowStem 3 9/23/2002 2 Automatic 40.401781 111.927597 2 GWTnotHollowStem 3 12/6/2004 2 Automatic 40.381264 111.977894 2 GWTnotHollowStem 3 12/6/2004 2 Automatic 40.381333 111.978708 2 GWTnotHollowStem 3 12/6/2004 2 Automatic 40.381206 111.979639 2 GWTnotHollowStem 3 12/6/2004 2 Automatic 40.381678 111.979628 2 GWTnotHollowStem 3 12/6/2004 2 Automatic 40.381747 111.978753 2 GWTnotHollowStem 3 12/6/2004 2 Automatic 40.381747 111.977922 2 GWTnotHollowStem 3 12/6/2004 2 Automatic 40.382181 111.977881 2 GWTnotHollowStem 3 12/6/2004 2 Automatic 40.382197 111.978725 2 GWTnotHollowStem 3 12/6/2004 2 Automatic 40.382128 111.979689 2 GWTnotHollowStem 3 2/2/2005 1 Safety 40.372213 111.85819 2HollowStem 3 2/1/2005 2 Safety 40.371593 111.85815 2HollowStem 3 2/1/2005 2 Safety 40.370932 111.858146 2HollowStem 3 2/1/2005 2 Safety 40.370294 111.858195 2HollowStem 3 2/2/2005 1 Safety 40.370292 111.857623 2HollowStem 3 2/1/2005 2 Safety 40.370931 111.857591 2HollowStem 3 2/1/2005 2 Safety 40.372191 111.857647 2HollowStem 3 1/7/2008 2 Automatic 40.302677 111.897388 2 GWTnotHollowStem 3 1/7/2008 2 Automatic 40.303049 111.89692 2 GWTnotHollowStem 3 1/7/2008 2 Automatic 40.303307 111.897836 2 GWTnotHollowStem 3 1/7/2008 2 Automatic 40.304186 111.897493 2 GWTnotHollowStem 3 1/7/2008 2 Automatic 40.30382 111.898751 2 GWTnotHollowStem 3 1/4/2008 1 Automatic 40.410678 111.887743 2HollowStem 3 1/3/2008 2 Automatic 40.410703 111.888884 2 GWTnotHollowStem 3 1/3/2008 2 Automatic 40.410297 111.888913 2HollowStem 3 1/3/2008 2 Automatic 40.410393 111.887353 2HollowStem 3 1/3/2008 2 Automatic 40.410898 111.887406 2HollowStem 3 1/4/2008 2 Automatic 40.363335 111.926983 2 GWTnotHollowStem 3 1/4/2008 2 Automatic 40.363348 111.927742 2 GWTnotHollowStem 3 1/4/2008 2 Automatic 40.363761 111.926693 2 GWTnotHollowStem 3 1/4/2008 2 Automatic 40.362497 111.927785 2 GWTnotHollowStem 3 3/18/2010 2 Safety 40.367795 111.931683 2 GWTnotHollowStem 3 3/18/2010 2 Safety 40.365825 111.931605 2 GWTnotHollowStem 3 3/18/2010 2 Safety 40.366462 111.932634 2 GWTnotHollowStem 3 3/18/2010 2 Safety 40.367764 111.934764 2 GWTnotHollowStem 3 3/18/2010 2 Safety 40.36734 111.933285 2 GWTnotHollowStem 3 3/18/2010 2 Safety 40.366315 111.933969 2 GWTnotHollowStem 3 3/18/2010 2 Safety 40.366765 111.933578 2 GWTnotContinuous 3 6/13/2002 1 Automatic 40.389325 111.839987 2Continuous 3 6/13/2002 1 Automatic 40.389313 111.839723 2Continuous 3 6/13/2002 1 Automatic 40.389595 111.839699 2
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REFERENCE REPORT RIGTYPE SITENAME EASTING NORTHING CE CB GEOLUNIT TESTDEPTHUDOT SP156(31)270 B61HDX University Qlf 86.5UDOT SP156(31)270 B61HDX University Qlf 85UDOT SP156(31)270 B61HDX University Qls 81.5UDOT I15over CME850 I15over Qlf 80UDOT I15over CME850 I15over Qlf 80UDOT SP156(25)262 B61HD UniversityAve Qla 160UDOT SP156(25)262 B61HD UniversityAve Qly 160UDOT US6from CME850 US6from Qc 50UDOT US6from CME850 US6from Qc 55UDOT FER028(41) B61 US89 Qfdp 33UDOT FER028(41) B61 US89 Qfdp 33.5UGS Proposed CME750 HarvestHills Qls 16.5UGS Proposed CME750 HarvestHills Qls 21UGS Proposed CME750 HarvestHills Qafm 16.5UGS EagleMountain CME750 EagleMountain Qls 10.5UGS EagleMountain CME750 EagleMountain Qls 16.5UGS EagleMountain CME750 EagleMountain Qls 6UGS EagleMountain CME750 EagleMountain Qls 8.5UGS EagleMountain CME750 EagleMountain Qls 20UGS EagleMountain CME750 EagleMountain Qla 12.3UGS EagleMountain CME750 EagleMountain Qla 12UGS EagleMountain CME750 EagleMountain Qls 16.5UGS EagleMountain CME750 EagleMountain Qls 21.5UGS AlpineSchool D120ATV AlpineSchool Qafy 16.5UGS AlpineSchool D120ATV AlpineSchool Qafy 16.5UGS AlpineSchool D120ATV AlpineSchool Qafy 16.5UGS AlpineSchool D120ATV AlpineSchool Qafy 16.5UGS AlpineSchool D120ATV AlpineSchool Qafy 16.5UGS AlpineSchool D120ATV AlpineSchool Qafy 26.5UGS AlpineSchool D120ATV AlpineSchool Qafy 16.5UGS SaratogaSprings D120AT SaratogaSprings Qafy 16.5UGS SaratogaSprings D120AT SaratogaSprings Qafy 10.5UGS SaratogaSprings D120AT SaratogaSprings Qafm 15.5UGS SaratogaSprings D120AT SaratogaSprings Qafm 16.5UGS SaratogaSprings D120AT SaratogaSprings Qafm 6.5UGS NorthLehi D120AT NorthLehi Qlf 31.5UGS NorthLehi D120AT NorthLehi Qlf 15.5UGS NorthLehi D120AT NorthLehi Qlf 17UGS NorthLehi D120AT NorthLehi Qlf 16.5UGS NorthLehi D120AT NorthLehi Qlf 16.5UGS SaratogaSprings D120AT VistaHeights Qlf 31.5UGS SaratogaSprings D120AT VistaHeights Qlf 16.5UGS SaratogaSprings D120AT VistaHeights Qlf 16.5UGS SaratogaSprings D120AT VistaHeights Qlf 6.5UGS Elementary MobileA.T ThunderRidge Qlf 5UGS Elementary MobileA.T ThunderRidge Qlf 6.5UGS Elementary MobileA.T ThunderRidge Qlf 16.5UGS Elementary MobileA.T ThunderRidge Qlf 6.5UGS Elementary MobileA.T ThunderRidge Qlf 16.5UGS Elementary MobileA.T ThunderRidge Qlf 16.5UGS Elementary MobileA.T ThunderRidge Qlf 24UGS LehiHighSchool CME75 LehiHighSchool Qafp 26.5UGS LehiHighSchool CME75 LehiHighSchool Qafp 16.5UGS LehiHighSchool CME75 LehiHighSchool Qafp 16.5
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ID1 ID SITEIDNO BOREELEV BORING BoreDiam BoreDiamEs DATE_ DEPTHGW DRILLER55 61 61 4,544.29 B4 6 3 6/13/2002 8.5 Terracon56 62 62 4,588.25 B1 6 3 12/1/2004 17 Terracon57 63 63 4,602.03 B2 6 3 12/1/2004 17 Terracon58 64 64 4,593.18 B3 6 3 12/1/2004 32 Terracon59 65 65 4,594.49 B4 6 3 12/1/2004 17 Terracon60 66 66 4,806.43 TH2 6 3 2/6/2001 20 Earthcore61 67 67 4,811.35 TH3 6 3 2/7/2001 21.5 Earthcore62 68 68 4,814.30 TH4 6 3 2/7/2001 21.5 Earthcore63 69 69 4,809.06 TH5 6 3 2/7/2001 21.5 Earthcore64 70 70 4,880.91 TH3 6 3 6/21/2001 16.5 Earthtech65 71 71 4,885.50 TH5 6 1 6/21/2001 16.5 Earthtech66 72 72 4,867.78 TH7 6 1 6/22/2001 10 Earthtech67 73 73 4,874.67 TH9 6 1 6/22/2001 10 Earthtech68 74 74 4,875.66 TH11 6 1 6/22/2001 10 Earthtech69 75 75 4,874.34 TH14 6 1 6/22/2001 10 Earthtech70 76 76 4,864.50 B1 6 1 3/9/2001 16.5 AMEC71 77 77 4,864.50 B2 6 1 3/9/2001 9.5 AMEC72 78 78 4,854.99 B3 6 1 3/9/2001 16.5 AMEC73 79 79 4,853.02 B4 6 1 3/9/2001 14 AMEC74 80 80 4,856.30 B5 6 1 3/9/2001 11.5 AMEC75 81 81 4,854.33 B6 6 1 3/9/2001 16.5 AMEC76 82 82 4,847.77 B7 6 1 3/9/2001 10.5 AMEC77 83 83 4,847.11 B8 6 1 3/9/2001 11.5 AMEC78 84 84 4,850.07 B9 6 1 3/9/2001 10 AMEC79 85 85 4,842.85 B1 6 3 9/29/1999 16.5 Terracon80 86 86 4,834.65 B2 6 3 9/29/1999 16.5 Terracon81 87 87 4,850.07 B3 6 3 9/29/1999 16.5 Terracon82 88 88 4,845.14 B4 6 3 9/29/1999 16.5 Terracon83 89 89 4,828.41 B5 6 3 9/29/1999 21 Terracon84 90 90 4,834.97 B6 6 3 9/29/1999 21.5 Terracon85 91 91 4,857.28 B1 6 1 10/18/2005 16.5 GSH86 92 92 4,854.33 B2 6 1 10/18/2005 20.5 GSH87 93 93 4,840.55 B3 6 1 10/18/2005 21.5 GSH88 94 94 4,850.07 B4 6 1 10/18/2005 19 GSH89 95 95 4,849.74 B5 6 1 10/18/2005 20 GSH90 96 96 4,849.74 B6 6 1 10/18/2005 21.5 GSH91 97 97 4,846.78 B7 6 1 10/19/2005 18.5 GSH92 98 98 4,843.83 B8 6 1 10/19/2005 21.5 GSH93 99 99 4,845.80 B9 6 1 10/19/2005 22.5 GSH94 100 100 4,850.72 B10 6 1 10/19/2005 19.5 GSH95 101 101 4,849.74 B11 6 1 10/19/2005 21.5 GSH96 102 102 4,853.67 B12 6 1 10/19/2005 16.5 GSH97 103 103 4,869.42 B39 4 1 4/28/2003 11 Amec98 104 104 4,873.69 B40 4 1 4/28/2003 12.5 Amec99 105 105 4,873.03 B41 4 1 4/28/2003 9.5 Amec100 106 106 4,875.66 B42 4 1 4/28/2003 13 Amec101 107 107 4,868.44 B44 4 1 4/28/2003 10.5 Amec102 108 108 4,873.36 B51 4 1 4/28/2003 7.5 Amec103 109 109 4,792.32 B1 4 3 3/28/2001 21.5 Terracon104 110 110 4,746.72 B3 4 3 3/28/2001 11 Terracon105 111 111 4,683.07 B6 4 3 3/29/2001 20 Terracon106 112 112 4,777.23 B8 4 3 3/29/2001 17 Terracon107 113 113 4,809.71 B3 6 1 11/14/2002 21.5 Davisdrilling108 114 114 4,525.26 TH2 4 3 7/11/2006 16.5 Raycon109 115 115 4,528.87 TH6 4 3 7/11/2006 16.5 Raycon110 116 116 4,778.87 TH4 4 3 2/24/2005 10.5 Earthtech111 117 117 4,776.25 TH10 4 3 2/24/2005 10.5 Earthtech
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DRILLMETH ELEVEST GWDATE GWEST HAMMER_TYP LATITUDE LONGITUDE LATITEST NCORR NOTESContinuous 3 6/13/2002 1 Automatic 40.389584 111.839977 2Continuous 3 12/1/2004 2 Automatic 40.368815 111.933359 2 GWTnotContinuous 3 12/1/2004 2 Automatic 40.368848 111.934884 2 GWTnotContinuous 3 12/1/2004 2 Automatic 40.368249 111.934002 2 GWTnotContinuous 3 12/1/2004 2 Automatic 40.367778 111.934581 2 GWTnotHollowStem 1 2/6/2001 2 Automatic 40.35925 111.968111 1 GWTnotHollowStem 1 2/7/2001 2 Automatic 40.35883 111.967655 1 GWTnotHollowStem 1 2/7/2001 2 Automatic 40.35932 111.967355 1 GWTnotHollowStem 1 2/7/2001 2 Automatic 40.358243 111.966663 1 GWTnotHollowStem 3 6/21/2001 2 Automatic 40.30488 112.018359 2 GWTnotHollowStem 3 6/21/2001 2 Automatic 40.30498 112.018687 2 GWTnotHollowStem 3 6/22/2001 2 Automatic 40.305316 112.018956 2 GWTnotHollowStem 3 6/22/2001 2 Automatic 40.304694 112.019319 2 GWTnotHollowStem 3 6/22/2001 2 Automatic 40.304314 112.018667 2 GWTnotHollowStem 3 6/22/2001 2 Automatic 40.30503 112.017984 2 GWTnotHollowStem 3 3/9/2001 2 Automatic 40.359932 111.979563 2 GWTnotHollowStem 3 3/9/2001 2 Automatic 40.360523 111.978976 2 GWTnotHollowStem 3 3/9/2001 2 Automatic 40.361379 111.979253 2 GWTnotHollowStem 3 3/9/2001 2 Automatic 40.361838 111.978433 2 GWTnotHollowStem 3 3/9/2001 2 Automatic 40.361314 111.978384 2 GWTnotHollowStem 3 3/9/2001 2 Automatic 40.360063 111.978203 2 GWTnotHollowStem 3 3/9/2001 2 Automatic 40.3609 111.977278 2 GWTnotHollowStem 3 3/9/2001 2 Automatic 40.361519 111.977619 2 GWTnotHollowStem 3 3/9/2001 2 Automatic 40.360744 111.978153 2 GWTnotContinuous 3 9/29/1999 2 Automatic 40.366596 111.975235 2 GWTnotContinuous 3 9/29/1999 2 Automatic 40.365719 111.97285 2 GWTnotContinuous 3 9/29/1999 2 Automatic 40.369304 111.974119 2 GWTnotContinuous 3 9/29/1999 2 Automatic 40.368273 111.972472 2 GWTnotContinuous 3 9/29/1999 2 Automatic 40.366854 111.970454 2 GWTnotContinuous 3 9/29/1999 2 Automatic 40.369393 111.970155 2 GWTnotHollowStem 2 10/18/2005 2 Automatic 40.372457 111.969002 2 GWTnotHollowStem 2 10/18/2005 2 Automatic 40.372046 111.969855 2 GWTnotHollowStem 2 10/18/2005 2 Automatic 40.371516 111.97059 2 GWTnotHollowStem 2 10/18/2005 2 Automatic 40.370788 111.971812 2 GWTnotHollowStem 2 10/18/2005 2 Automatic 40.370758 111.970624 2 GWTnotHollowStem 2 10/18/2005 2 Automatic 40.37155 111.969588 2 GWTnotHollowStem 2 10/19/2005 2 Automatic 40.371279 111.968811 2 GWTnotHollowStem 2 10/19/2005 2 Automatic 40.371483 111.967607 2 GWTnotHollowStem 2 10/19/2005 2 Automatic 40.371864 111.966882 2 GWTnotHollowStem 2 10/19/2005 2 Automatic 40.372188 111.968266 2 GWTnotHollowStem 2 10/19/2005 2 Automatic 40.372421 111.967484 2 GWTnotHollowStem 2 10/19/2005 2 Automatic 40.372604 111.96822 2 GWTnotContinuous 3 4/28/2003 2 Automatic 40.370808 111.978227 2 GWTnotContinuous 3 4/28/2003 2 Automatic 40.370518 111.979025 2 GWTnotContinuous 3 4/28/2003 2 Automatic 40.370298 111.979893 2 GWTnotContinuous 3 4/28/2003 2 Automatic 40.371261 111.979415 2 GWTnotContinuous 3 4/28/2003 2 Automatic 40.37099 111.97873 2 GWTnotContinuous 3 4/28/2003 2 Automatic 40.371256 111.977771 2 GWTnotContinuous 3 3/28/2001 2 Automatic 40.361529 111.959161 2 GWTnotContinuous 3 3/28/2001 2 Automatic 40.361381 111.948683 2 GWTnotContinuous 3 3/29/2001 2 Automatic 40.347385 111.945349 2 GWTnotContinuous 3 3/29/2001 2 Automatic 40.347511 111.958882 2 GWTnotContinuous 3 11/14/2002 2 Automatic 40.360975 111.96875 2 GWTnotHollowStem 3 7/11/2006 2 Automatic 40.332499 111.902681 2 GWTnotHollowStem 3 7/11/2006 2 Automatic 40.33416 111.905958 2 GWTnotHollowStem 3 2/24/2005 2 Automatic 40.401374 111.933611 2 GWTnotHollowStem 3 2/24/2005 2 Automatic 40.399726 111.934849 2 GWTnot
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REFERENCE REPORT RIGTYPE SITENAME EASTING NORTHING CE CB GEOLUNIT TESTDEPTHUGS LehiHighSchool CME75 LehiHighSchool Qafp 16.5UGS Proposed D120 Northof Qlf 17UGS Proposed D120 Northof Qlf 17UGS Proposed D120 Northof Qlf 32UGS Proposed D120 Northof Qlf 17UGS NewAlpine CME750 Ponyexpress Qafy 21.5UGS NewAlpine CME750 Ponyexpress Qafy 21.5UGS NewAlpine CME750 Ponyexpress Qafy 21.5UGS NewAlpine CME750 Ponyexpress Qafy 21.5UGS EagleMountain CME550 EagleMountain Qc 16.5UGS EagleMountain CME550 EagleMountain Qc 16.5UGS EagleMountain CME550 EagleMountain Qc 10UGS EagleMountain CME550 EagleMountain Qc 10UGS EagleMountain CME550 EagleMountain Qc 10UGS EagleMountain CME550 EagleMountain Qc 10UGS AMEC1817 CME550 Travelersrest Qafy 16.5UGS AMEC1817 CME550 Travelersrest Qafy 9.5UGS AMEC1817 CME550 Travelersrest Qafy 16.5UGS AMEC1817 CME550 Travelersrest Qafy 14UGS AMEC1817 CME550 Travelersrest Qafy 11.5UGS AMEC1817 CME550 Travelersrest Qafy 16.5UGS AMEC1817 CME550 Travelersrest Qafy 10.5UGS AMEC1817 CME550 Travelersrest Qafy 11.5UGS AMEC1817 CME550 Travelersrest Qafy 10UGS TerraconNo CME75 Redhawkranch Qay 16.5UGS TerraconNo CME75 Redhawkranch Qay 16.5UGS TerraconNo CME75 Redhawkranch Qay 16.5UGS TerraconNo CME75 Redhawkranch Qafm 16.5UGS TerraconNo CME75 Redhawkranch Qafm 21UGS TerraconNo CME75 Redhawkranch Qay 21.5UGS GSHNo0176 B90 Withinthe Qls 16.5UGS GSHNo0176 B90 Withinthe Qls 20.5UGS GSHNo0176 B90 Withinthe Qls 21.5UGS GSHNo0176 B90 Withinthe Qls 19UGS GSHNo0176 B90 Withinthe Qls 20UGS GSHNo0176 B90 Withinthe Qls 21.5UGS GSHNo0176 B90 Withinthe Qls 18.5UGS GSHNo0176 B90 Withinthe Qls 21.5UGS GSHNo0176 B90 Withinthe Qls 22.5UGS GSHNo0176 B90 Withinthe Qls 19.5UGS GSHNo0176 B90 Withinthe Qls 21.5UGS GSHNo0176 B90 Withinthe Qls 16.5UGS AMEC3817 CME750 7000NRanches Qay 11UGS AMEC3817 CME750 7000NRanches Qay 12.5UGS AMEC3817 CME750 7000NRanches Qay 9.5UGS AMEC3817 CME750 7000NRanches Qay 13UGS AMEC3817 CME750 7000NRanches Qay 10.5UGS AMEC3817 CME750 7000NRanches Qay 7.5UGS TerraconNo CME75 Evansranch Qafm 21.5UGS TerraconNo CME75 Evansranch Qafm 11UGS TerraconNo CME75 Evansranch Qafy 20UGS TerraconNo CME75 Evansranch Qafm 17UGS GeotekNo0385 CME75 LDSmeeting Qay 21.5UGS EarthtecNo D120A.T. Wilshireestates Qafy 16.5UGS EarthtecNo D120A.T. Wilshireestates Qafy 16.5UGS earthtecno CME75ATV HarvestHills Qls 10.5UGS earthtecno CME75ATV HarvestHills Qafy 10.5
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ID1 ID SITEIDNO BOREELEV BORING BoreDiam BoreDiamEs DATE_ DEPTHGW DRILLER112 118 118 4,525.26 TH1 4 3 6/11/2004 22 Overlanddrilling113 119 119 4,509.51 TH1 4 3 2/18/2004 3.5 Raycon114 120 120 4,509.19 TH6 4 3 2/18/2004 3.5 Raycon115 121 121 4,641.40 TH4 4 3 11/5/2001 10 Earthtech116 122 122 4,627.62 TH11 4 3 11/5/2001 10 Earthtech117 123 123 4,640.09 TH9 4 3 11/5/2001 20.5 Earthtech118 124 124 4,719.16 B2 6 1 2/5/2005 11 Amec119 125 125 4,539.37 B5 6 1 2/15/2005 15.5 Amec120 126 126 4,553.48 B7 6 1 2/16/2005 16.5 Amec121 127 127 4,562.66 B14 6 1 2/17/2005 16.5 Amec122 128 128 4,561.68 B23 6 1 2/18/2005 15.5 Amec123 129 129 4,510.17 B1 6 1 12/2/1998 3 Agra124 130 130 4,510.17 B2 6 1 12/2/1998 3.2 Agra125 131 131 4,520.34 TH1 6 3 1/2/2008 13.25 Raycon126 132 132 4,526.25 TH2 6 3 1/2/2008 16.5 Raycon127 133 133 4,532.15 TH3 6 3 1/2/2008 17 Raycon128 134 134 4,529.86 TH4 6 3 1/2/2008 16.5 Raycon129 135 135 4,505.58 TH1 6 3 10/13/1995 36.5 RB&G130 136 136 4,586.61 B4 6 3 11/9/1999 17 RB&G131 137 137 4,536.09 B4 6 3 8/7/2001 16.5 RB&G132 138 138 4,540.35 B9 6 3 8/7/2001 16.5 RB&G133 139 139 4,543.31 B15 6 3 8/7/2001 16.5 RB&G134 140 140 4,668.31 B7 8 1 4/28/2004 6 AGEC135 141 141 5,081.36 DH8 6 3 1/16/1990 5.9 UDOT136 142 142 5,703.08 B1 8 1 1/23/2006 31 IGES137 143 143 5,498.36 B5 8 1 1/26/2006 35.2 IGES138 144 144 5,745.74 B6 8 1 1/26/2006 30.7 IGES139 145 145 5,653.22 B7 8 1 1/26/2006 30.5 IGES140 146 146 4,592.85 B6 4 3 12/1/2004 17 Terracon141 147 147 4,603.35 TH1 4 3 1/12/2005 31.5 RayCon142 148 148 4,605.97 TH3 4 3 1/12/2005 16.5 RayCon143 149 149 5,294.29 SH1 4 3 3/21/2000 18 D&M144 150 150 4,642.06 TH1 4 3 5/14/2000 31.5 RCExploration145 151 151 4,641.73 TH5 4 3 5/14/2000 6 RCExploration146 152 152 4,916.01 B3 4 2 6/15/1999 30 Unknown147 153 153 4,680.45 B1 4 3 3/8/1999 21 Unknown148 154 154 4,656.17 B3 4 3 3/8/1999 21.5 Unknown149 155 155 4,750.66 B5 4 3 3/8/1999 16.5 Unknown150 156 156 4,704.07 B8 4 3 3/8/1999 16.5 Unknown151 157 157 5,360.24 B7 4 3 1/23/2002 37.5 MDF152 158 158 5,187.34 B8 4 3 1/21/2002 48 MDF153 159 159 5,173.23 B9 4 3 1/29/2002 70.5 MDF154 160 160 5,206.04 TH1 4 3 1/9/2002 48.5 Earthtech155 161 161 4,750.00 B6 4 3 7/21/1983 10 unknown156 162 162 4,751.64 B7 4 3 7/21/1983 10 unknown157 163 163 4,755.25 B8 4 3 7/21/1983 9.5 unknown158 164 164 4,771.00 B1 4 3 7/15/1983 15.5 unknown159 165 165 4,770.67 B3 4 3 7/15/1983 16 unknown160 166 166 4,770.01 B7 4 3 7/15/1983 16.5 unknown161 167 167 4,768.37 B10 4 3 7/15/1983 16 unknown162 168 168 4,642.06 B1 4 3 7/11/1983 3.5 unknown163 169 169 4,723.10 B1 4 3 6/1/1983 40 unknown164 170 170 4,729.33 B2 4 3 6/1/1983 40 unknown165 171 171 4,663.71 B4 4 3 6/1/1983 20 unknown166 172 172 4,683.73 B6 4 3 6/1/1983 50 unknown167 173 173 4,760.50 B7 4 3 6/1/1983 30 unknown168 174 174 4,784.78 B8 4 3 6/1/1983 31.5 unknown
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DRILLMETH ELEVEST GWDATE GWEST HAMMER_TYP LATITUDE LONGITUDE LATITEST NCORR NOTESHollowStem 3 6/11/2004 2 Automatic 40.331062 111.899569 2 GWTnotHollowStem 3 2/18/2004 2 Automatic 40.371205 111.882706 2HollowStem 3 2/18/2004 2 Automatic 40.371803 111.884469 2HollowStem 3 11/5/2001 2 Automatic 40.289915 111.881167 2 GWTnotHollowStem 3 11/5/2001 2 Automatic 40.290251 111.87996 2 GWTnotHollowStem 3 11/5/2001 2 Automatic 40.290091 111.880668 2 GWTnotHollowStem 3 2/5/2005 2 Safety 40.383211 111.939623 2 GWTnotHollowStem 3 2/15/2005 2 Safety 40.387713 111.91306 2 GWTnotHollowStem 3 2/16/2005 2 Safety 40.38852 111.915259 2 GWTnotHollowStem 3 2/17/2005 2 Safety 40.39046 111.916066 2 GWTnotHollowStem 3 2/18/2005 2 Safety 40.391929 111.912112 2 GWTnotHollowStem 3 12/11/1998 1 Automatic 40.364268 111.865235 2HollowStem 3 12/11/1998 1 Automatic 40.364301 111.866297 2HollowStem 3 1/3/2008 1 Automatic 40.386321 111.90876 2HollowStem 3 1/2/2008 2 Automatic 40.387098 111.907426 2HollowStem 3 1/2/2008 2 Automatic 40.387118 111.910208 2HollowStem 3 1/2/2008 2 Automatic 40.386496 111.911336 2HollowStem 3 10/13/1995 2 Automatic 40.358597 111.899369 2HollowStem 3 11/9/1999 2 Automatic 40.32742 111.904523 2
triconerockbut 3 8/7/2001 2 Safety 40.38473 111.914738 2triconerockbut 3 8/9/2001 2 Safety 40.385776 111.914129 2triconerockbit 3 8/9/2001 2 Safety 40.386937 111.914206 2HollowStem 3 4/28/2004 2 Automatic 40.398398 111.924161 2
triconerockbit 1 1/16/1990 2 Automatic 40.337721 111.610203 2HollowStem 2 1/23/2006 2 Automatic 40.464789 111.825177 2HollowStem 2 1/26/2006 2 Automatic 40.46346 111.820384 2HollowStem 2 1/26/2006 2 Automatic 40.468415 111.821413 2HollowStem 2 1/25/2006 2 Automatic 40.472168 111.822049 2HollowStem 2 12/1/2004 2 Automatic 40.367042 111.933603 2HollowStem 2 1/12/2005 2 Automatic 40.236086 111.632881 2HollowStem 2 1/12/2005 2 Automatic 40.236821 111.632644 2HollowStem 1 3/21/2000 2 Automatic 40.293957 111.636976 2HollowStem 2 5/14/2000 2 Automatic 40.208715 111.626279 2HollowStem 2 5/14/2000 2 Automatic 40.209844 111.625943 2N.XCasing 2 6/15/1999 2 Automatic 40.310266 111.654786 2N.XCasing 2 3/8/1999 2 Automatic 40.216471 111.627019 2N.XCasing 2 3/8/1999 2 Automatic 40.214673 111.626907 2N.XCasing 2 3/8/1999 2 Automatic 40.215815 111.625795 2N.XCasing 2 3/8/1999 2 Automatic 40.21774 111.62725 2HollowStem 1 1/23/2002 2 Automatic 40.295556 111.636773 2HollowStem 1 1/21/2002 2 Automatic 40.292818 111.638653 2HollowStem 1 1/29/2002 2 Automatic 40.291323 111.638223 2HollowStem 2 1/9/2002 2 Automatic 40.296428 111.642463 2HollowStem 2 7/21/1983 2 Safety 40.295406 111.664429 2HollowStem 2 7/21/1983 2 Safety 40.295945 111.664476 2HollowStem 2 7/21/1983 2 Safety 40.29582 111.663299 2HollowStem 2 7/15/1983 2 Safety 40.293592 111.69642 2HollowStem 2 7/15/1983 2 Safety 40.293617 111.697 2HollowStem 2 7/15/1983 2 Safety 40.294337 111.696572 2HollowStem 2 7/15/1983 2 Safety 40.294369 111.697705 2HollowStem 2 7/11/1983 2 Safety 40.264436 111.660595 2HollowStem 2 6/1/1983 2 Safety 40.207551 111.623417 2HollowStem 2 6/1/1983 2 Safety 40.20686 111.62235 2HollowStem 2 6/1/1983 2 Safety 40.207153 111.625099 2HollowStem 2 6/1/1983 2 Safety 40.209431 111.624293 2HollowStem 2 6/1/1983 2 Safety 40.209448 111.62215 2HollowStem 2 6/1/1983 2 Safety 40.207421 111.621438 2
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REFERENCE REPORT RIGTYPE SITENAME EASTING NORTHING CE CB GEOLUNIT TESTDEPTHUGS EarthtecNo04E CME55 KahnResidence Qafy 22UGS EarthtecNo04E D120 between2185 Qafy 31.5UGS EarthtecNo04E D120 between2185 Qafy 16.5UGS EarthtecNo01E CME750A.T. PelicanPoint Qafm 10UGS EarthtecNo01E CME750A.T. PelicanPoint Qafy 10UGS EarthtecNo01E CME750A.T. PelicanPoint Qafy 20.5UGS Amec5817 B53 SaratogaSprings Mgb 11UGS Amec5817 B53 SaratogaSprings Qlf 15.5UGS Amec5817 B53 SaratogaSprings Qlf 16.5UGS Amec5817 B53 SaratogaSprings Qlf 16.5UGS Amec5817 B53 SaratogaSprings Qlf 15.5UGS AGRA8817 CME75 LochLomond Qafy 31.5UGS AGRA8817 CME75 LochLomond Qafy 14UGS EarthtecNo D120 SouthofS.S Qlf 31.5UGS EarthtecNo D120 SouthofS.S Qlf 16.5UGS EarthtecNo D120 SouthofS.S Qlf 17UGS EarthtecNo D120 SouthofS.S Qlf 16.5UGS RB&G9501118 CME550 wastewater Qlf 24.5UGS RB&G9901092 CME550 BySSgolf Qafy 17UGS RB&GWardley CME55 shoppingcenter Qlf 16.5UGS RB&GWardley CME55 shoppingcenter Qlf 16.5UGS RB&GWardley CME55 shoppingcenter Qlf 16.5UGS AGEC1040264 CME55 westboundlane Qls 6UDOT F019(34) B61 Murdockto Qal 30UGS IGESNo00814 D120 Suncrestsubdiv Tvte 31UGS IGESNo00814 D120 Suncrestsubdiv Tt 35.2UGS IGESNo00814 D120 Suncrestsubdiv Tvte 30.7UGS IGESNo00814 D120 Suncrestsubdiv Tvte 30.5UGS TerraconNo D120 ThunderRidge QlfUGS EarthtecNo D120 ValleyVistas Qls 31.5UGS EarthtecNo D120 ValleyVistas Qls