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Modeling Dissolved Phosphorus Exports in Lake Erie Watersheds

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12 diapositives · 281 Views · Sep 24, 2014

This study assesses the performance of the Soil and Water Assessment Tool (SWAT) in estimating dissolved phosphorus (P) exports from Lake Erie watersheds. It specifically evaluates and compares the simulation outputs of different phosphorus forms (dissolved, particulate, and total) with and without in-stream processing. Findings indicate that in-stream processing significantly influences SWAT's phosphorus simulation, altering the dominant form of phosphorus. The results highlight the need for further research to enhance SWAT's accuracy in predicting various phosphorus forms in aquatic systems.

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Modeling Dissolved Phosphorus Exports in Lake Erie Watersheds
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  1. Modeling Dissolved Phosphorus Exports in Lake Erie Watersheds Rem Confesor Jr., NCWQR, Heidelberg University, Tiffin, OH Pete Richards, NCWQR, Heidelberg University, Tiffin, OH Jeff Arnold, GSWRL, USDA-ARS, 808 East Blackland Rd., Temple, TX, 76502 Jerry Whittaker, NFSPRC, USDA-ARS, Corvallis, OR

  2. ACKNOWLEDGMENTS This study was funded by the Lake Erie Commission through the Lake Erie Protection Fund (LEPF) Grant No. SG 397-10.

  3. GOAL & OBJECTIVES MAIN GOAL: EVALUATE SWAT’S PERFORMANCE IN ESTIMATING P EXPORTS FROM LAKE ERIE WATERSHEDS. THE SPECIFIC OBJECTIVES ARE: - Evaluate and compare SWAT’s Pdis,Ppar, and Ptot simulation outputs and - Assess SWAT’s phosphorus simulation outputs with (IWQ =1) and without (IWQ = 0) in-stream processing.

  4. SWAT CODES Equation 1: organic P varoute(5,ihout) = (sub_yorgp(sb) + sub_sedps(sb)) * sub_ha surface runoff organic P sediment- attached stable P organic P to subbasin reach + = Equation 2: mineral P varoute(7,ihout) = (sub_solp(sb) + sub_gwsolp(sb) + sub_sedpa(sb)) * sub_ha surface runoff soluble P mineral P to subbasin reach ground water soluble P sediment- attached active P + + =

  5. SWAT CODES Appropriate/suggested equations: Equation 3: particulate P varoute(5,ihout) = (sub_yorgp(sb) + sub_sedps(sb) + sub_sedpa(sb)) * sub_ha particulate P to subbasin reach sediment- attached active P surface runoff organic P sediment- attached stable P = + + Equation 4: dissolved P varoute(7,ihout) = (sub_solp(sb) + sub_gwsolp(sb)) * sub_ha surface runoff soluble P dissolved P to subbasin reach ground water soluble P + =

  6. SWAT CODES NOTE: Equations 3 and 4 replaced equations 1 and 2 in SWAT2009 rev477 released in April 25, 2011. However, equations (1) and (2) still remain unchanged in SWAT2005 and SWAT2000.

  7. SWAT SETUP & DATA ANALYSIS • UNCALIBRATED SWAT simulations • With and without in-stream processing routing methods. • P forms (Pmin and Pdis) were classified during: • High flows: ≥ 90th percentile of the daily discharges

  8. Values in parenthesis are percentages of variables (e.g., Flow Volume, Sediments, etc.) at all flows. Phosphorus forms percentages are of the Ptot at all flows.

  9. Values in parenthesis are percentages of variables (e.g., Flow Volume, Sediments, etc.) at all flows. Phosphorus forms percentages are of the Ptot at all flows.

  10. 4-yr Observed Values Values in parenthesis are percentages of variables (e.g., Flow Volume, Sediments, etc.) at all flows. Phosphorus forms percentages are of the Ptot at all flows.

  11. THANKS!!! Rem Confesor Jr. rconfeso@heidelberg.edu

  12. FINDINGS In-stream processing is a major factor in determining SWAT’s P simulation output. Without in-stream processing, Ppar is the dominant P form When there is in-stream processing, Pdis is the dominant P form The high Pdis ratio with Ptot when there is in-stream processing, rather than the particulate P makes the SWAT P simulation questionable. Further studies are needed to improve SWAT's ability to accurately simulate different P forms.