modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index

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Modeling Phosphorus to Test the P Index in the Chesapeake Bay Region Pete Kleinman, D. Beegle, Z. Easton, A. Collick, J. Weld, Q. Ketterings, K. Czymmek, D. Fuka, T. Veith, A. Shober, S. Cela, M. Reiter, A. Allen, J. McGrath, R. Bryant, J. Liu, K. Clark, T. Buda and

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Page 1: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index

Modeling Phosphorus to Test the P Index in the Chesapeake Bay Region

Pete Kleinman, D. Beegle, Z. Easton, A. Collick, J. Weld, Q. Ketterings, K. Czymmek, D. Fuka, T. Veith, A. Shober, S. Cela, M. Reiter, A. Allen, J. McGrath, R. Bryant, J. Liu, K. Clark, T. Buda and M. Amin, T. Basden

Page 2: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index

Spring Creek

Mahantango Creek

Conewago Creek

Allegheny PlateauDressler

Run

Nanticoke River(Bucks Branch)

Upper Manokin

River

Factory Brook

Valley & Ridge

Piedmont

Coastal Plain

Shenandoah River

Chesapeake Conservation Innovation Grant Watersheds

Page 3: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index

1. Model proving

Monitoring database

2. Model

adaptation 3. Site assessment tool

evaluation

Project Approach

Phosphorus routines

Alternative models

Page 4: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index

Mahantango Creek, PA

Valley & Ridge

Page 5: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index

WE38 – detailed field-scale modeling

https://i.ytimg.com/vi/wx0SJM7FeEc/mqdefault.jpg

http://www.extension.org/sites/default/files/w/4/4a/Spreading_manure.jpg

• Pre-process SWAT to field-scale• Every field can have a different set of

practices• Field specific management scenarios

Page 6: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index

Hydrologic Routine Testing – Mahantango Creek

• Similar outlet discharge hydrographs

• Better spatial distribution of runoff with TopoSWAT

• Improved identification of nutrient sources with TopoSWAT

Standard SWAT

WE38 outletTopoSWAT

Collick et al., 2014

Page 7: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index

P Routine Testing: Mahantango Creek

Collick et al., in review

6000 gal ac-1

9000 gal ac-1

NewOld NewOld

6

3

0

Total Pin runoffkg ha-1

APPLICATIONRATE

Right Timing: 1, 5, and 10 days prior to storm

1/15 1/31 2/14

New

Old

Total Pin runoffkg ha-1

0.1

0

0.26000 gal ac-1

APPLICATION TIMING

Page 8: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index

Nanticoke River, DE andUpper Manokin River, MD

Coastal Plain

Page 9: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index
Page 10: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index
Page 11: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index
Page 12: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index

Testing the coastal plain P IndexDrainage intensity and distance to drains

Majority of P loss occurs in subsurface flow Empirical work

Geophysical techniques to map shallow flow paths

Page 13: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index

Factory Brook, NY

Allegheny Plateau

Page 14: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index

Factory Brook – Limited watershed monitoring

• TopoSWAT without calibration• Automation of farm nutrient

management plan data– 100 field management schedules

converted to modeling format in 10 minutes

• Upcoming: APLE model comparison

Page 15: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index

NY P index and TopoSWAT – 1st Run

0.0 100.0 200.0 300.0 400.0 500.0 600.00

5

10

15

20

25

30

35

40

45

f(x) = 0.149533444999912 x + 4.51923237403068R² = 0.566354658972478

f(x) = 0.00538794298649836 x + 0.459771899189721R² = 0.289339642193427

Corn and alfalfa fields

Dissolved P index

Solu

ble

P fr

om T

opoS

WA

T, k

g ha

-1

Very preliminary results from uncalibrated TopoSWAT run of Factory Brook

0 10 20 30 40 50 60 70 80 90 1000

0.5

1

1.5

2

2.5

3

3.5

f(x) = 0.020653190647199 x + 0.301430583560682R² = 0.478461665070217

Phosphorus applied, kg ha-1

Solu

ble

P ou

tput

from

SW

AT, k

g ha

-1

Soluble P load in SWAT compared to dissolved P index

0.0 100.0 200.0 300.0 400.0 500.0 600.00

100200300400500600

R² = 0.906064337532733

Total Source Contribution from NY P Index

NY

Diss

olve

d P

inde

x

ExplorationUsing SWAT to assess

factors in P Index.

1st Run indicates further vetting of results and rerunning when necessary

Page 16: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index

Spatial Comparison of P index and TopoSWAT

NY Dissolved Pindex, 2009

NY Particulate Pindex, 2009

McMahon_Farm_PartP

PARTPI_09

0.0 - 50.0

50.1 - 74.0

74.1 - 99.0

> 100

Low

Medium

High

Very High

Soluble P in TopoSWAT, 2009

Particulate P in TopoSWAT, 2009

Page 17: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index

Scenario developmentTesting the P Index and SWAT

• Assess range of conditions in physiographic provinces• Simulate management scenarios on range of representative sites

SWAT FrameworkPennsylvania P index

Page 18: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index

How representative are our watersheds?Are there important site conditions we’re missing?

Page 19: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index

Developing reasonable scenariosDistance to stream – what important

conditions are missing in our watersheds?Field management

Soils

Field delineation

Landuse

Topography

Watershed

Soil texture at variable distance

from stream

Page 20: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index

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P Lo

ss

(Mod

eled

or M

easu

red) Representative* Scenarios Modeled

Monitored Scenario

. Modeled Scenario

Integrating Modeling and MonitoringDoug Beegle’s dream…

* Major Panel Activity

P Index

Page 21: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index

Physiographic region – Expert panelsFeedback (problems, needs, project review)

Image PACD, http://pacd.org/2014/11/manure-management-workshop-held-in-columbia-county/

Initial meetings held for all regional expert panels• Introduced regional project staff• Reviewed project objectives• Discussed survey results

Next steps…• Follow-up meetings to review SWAT and P Index results• Management scenario feedback

Page 22: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index

Allegheny PlateauNew York and Pennsylvania

Ridge and Valley/PiedmontPennsylvania and West Virginia Coastal Plain

Delaware

Assess opinions regarding…– Current P Index factors (importance and reliability)– P Index modifications (boundaries and screening tool)

Evaluation and Revision of Phosphorus IndicesQuestionnaire for Nutrient Management Experts

Page 23: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index

Pete KleinmanUSDA Agricultural Research Service

University Park, PA [email protected]

Thank you

Page 24: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index

Shenandoah River, VA

Piedmont

Page 25: Modeling phosphorus runoff in the chesapeake bay region to test the phosphorus index

Next generation: Forecasting models

SWAT with weather forecasterWatershed stakeholder decision support system architecture

• Forecast runoff risks (6-hrs to 3 days) across Chesapeake Bay watershed

• Provide information for land management decision-making to reduce nonpoint source pollution risks

• Enabled for smart phones and other GPS-enabled devices