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©2003 Institute of Water Research, all rights reserved Water Quality Modeling for Ecological Services under Cropping and Grazing Systems Da Ouyang Jon.

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Presentation on theme: "©2003 Institute of Water Research, all rights reserved Water Quality Modeling for Ecological Services under Cropping and Grazing Systems Da Ouyang Jon."— Presentation transcript:

1 ©2003 Institute of Water Research, all rights reserved Water Quality Modeling for Ecological Services under Cropping and Grazing Systems Da Ouyang Jon Bartholic Institute of Water Research Michigan State University

2 ©2003 Institute of Water Research, all rights reserved Water Quality Modeling Surface Water Quality - Soil Erosion - Sediment Delivery - Nutrient Loading (P, N) Groundwater Quality - Pesticide / Nutrient Leaching

3 ©2003 Institute of Water Research, all rights reserved Water Quality Modeling Surface Water Quality Modeling - RUSLE - SEDMOD - AGNPS / SWAT - MARI & Nutrient Loading Coefficients Groundwater Quality Modeling - WIN-PST (Pesticide Screening Tool)

4 ©2003 Institute of Water Research, all rights reserved RUSLE Revised Universal Soil Loss Equation

5 ©2003 Institute of Water Research, all rights reserved RUSLE A = R K LS C P A = Soil loss in tons per acre per year R = Rainfall-runoff erosivity factor K = Soil erodibility factor S = Slop steepness factor L = Slope length factor C = Cover-management factor P = Support practice factor

6 ©2003 Institute of Water Research, all rights reserved SEDMOD Spatially Explicit Sediment Delivery Model

7 ©2003 Institute of Water Research, all rights reserved Spatially Explicit Sediment Delivery Model (SEDMOD) SDR = 39 A –1/8 +  DP Where SDR = sediment delivery ratio A = watershed area in square km  DP = difference between the composite delivery potential and its mean value

8 ©2003 Institute of Water Research, all rights reserved SEDMOD Delivery Potential composite layer in GRID DP = (SG)r(SG)w + (SS)r(SS)w + (SR)r(SR)w + (SP)r(SP)w + (ST)r(ST)w + (OF)r(OF)w Where SG = slope gradient SS = slope shape SR = surface roughness SP = stream proximity ST = soil texture OF = overland flow index r = parameter rating (1-100) w = weighting factor (0-1)

9 ©2003 Institute of Water Research, all rights reserved Sediment Yield SY = A * SDR Where SY = Sediment Yield A = Gross Soil Loss SDR = Sediment Delivery Ratio

10 ©2003 Institute of Water Research, all rights reserved WIN-PST Window-Based Pesticide Screening Tool

11 ©2003 Institute of Water Research, all rights reserved WIN-PST (Window-Based Pesticide Screening Tool) Assess relative likelihood of pesticide loss from -field boundaries via runoff -below the root zone via percolation Overall risk ratings are based on a matrix of -Pesticide (toxicity, application method and rate) -Soil (Soil texture, hydrologic group, slope, water table)

12 ©2003 Institute of Water Research, all rights reserved MARI Manure Application Risk Index

13 ©2003 Institute of Water Research, all rights reserved MARI (Manure Application Risk Index) Identify areas where winter-time spreading of manure may cause potential risk for runoff losses of N or P 12 Field parameters: Soils; Slope; Soil Test P; Concentration Water Flow; Residue/Cover; Surface Water Setback; Vegetative Buffer Width; Manure P / N Application Rate; Manure Application Method; Others.

14 ©2003 Institute of Water Research, all rights reserved Data DEM (Digital Elevation Model, 30-meter) SSURGO Soil Data (Soil Survey Geographic Database) Landuse / Land cover data Crop Residue Management Data (CTIC) Other - EPA BASINS

15 Data and Tools for Water Quality Modeling

16 Previous Studies

17 Stony Creek Study

18 Corn-Corn Corn-Soybean Soybean-Wheat Erosion 182, ,000 67,000 Sediment 61,000 52,000 28,000 Phosphorus Estimated soil loss, sediment and phosphorus in Stony Creek Watershed (tons / year)

19 Measured Phosphorus and Suspended Solids In Sycamore Creek Watershed, MI

20 Findings from other study (Randall et al. 1997) NO 3 – losses from row crops (corn, soybean) were times greater than losses from perennial crops such as Alfalfa

21 Atrazine Leaching Risk Mapping

22

23 Great Lakes Basin

24 ©2003 Institute of Water Research, all rights reserved Estimated Potential Sediment Loading Contributed from Cropland (tons/yr.)

25

26 Questions & Discussion (C = Cover-management factor)

27


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