MODELING PHOSPHORUS LOADING TO THE CANNONSVILLE RESERVOIR USING SWAT

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1 MODELING PHOSPHORUS LOADING TO THE CANNONSVILLE RESERVOIR USING SWAT Bryan Tolson 1 & Christine Shoemaker 2 1. PhD Student, 2. Professor School of Civil & Environmental Engineering Cornell University PWT Meeting

2 Why are We Here? To get feedback on our results for future projections, including suggestions for improvement. To discuss our current modeling results

3 Study Area Cannonsville Reservoir Basin agricultural basin New York City water supply P restriction impedes economic growth of county County wishes to investigate the impact of different management practices on P loading to reservoir Develop Watershed Model

4 Highly Significant Results Our model results show that phosphorous loading to the reservoir will INCREASE over the years, even if the cow population stays at its currently low (1997) level. This is a politically sensitive result so we want to be sure that this trend represents a reasonable prediction before we discuss it publicly. We would appreciate your not discussing these results widely at this time until we have had time to incorporate your comments.

5 Informal Talk with Preliminary Results Because we wanted your feedback, we are asking your opinion early in the process of evaluating future scenarios. As a result, many of the results you will see are preliminary.

6 Status of Modeling Work Refining model calibration with historical data based on peer review of modeling report. (This work is quite polished.) Initial simulations of future P loading to the reservoir. (This work is preliminary.)

7 Predictions of Future P Loading What do we think will happen to total P loading to the reservoir? Initially, we simulated the model with constant present day (1997) P inputs for 40 years for two cases: With previous 40 years of historical climate data With steady-state climate inputs (repeat climate)

8 Long-Term Simulation Results Simulation using previous 40 years of climate Total P to Reservoir Annual Total P load Year Over 37 yrs, Total P load increases by about 40% why? Climate or P inputs to basin? apparently climate as flows and sediment load increase similarly

9 Long-Term Simulation Results Simulation results under steady-state climate inputs ( climate is repeated) Annual Total P load in kg Total P to Reservoir Over 37 yrs, Total P load increases by about 7% flow and sediment increase by less than 1% in this period Year

10 Long-Term Simulation Results Two immediate questions: 1. Why are these results significant? 2. Are these simulation results reasonable?

11 Long-Term Simulation Results - Significance If conditions do not worsen in the basin, loading could approach TMDL over time The latest monitoring data show a decrease in total P loading over the past two years such that P restriction is not in effect NYC DEP modeling work with GWLF concluded that they do not expect to see a P loading increase in the foreseeable future

12 Alternate Approach to SWAT Model: Basin-Wide Mass Balance The SWAT model makes many assumptions and gives results that are spatially and temporally distributed. The mass balance looks only at annual inputs and outputs of phosphorous to the watershed. The goal is to see whether the mass balance would support the SWAT results that there is a build up of phosphorous in output over time.

13 Current Basin-Wide P Mass Balance P INPUTS in kg/yr Net dairy farm P= +142,500 to +307,500 Atmospheric P deposition = 5,000 Septic System P = 6,300 WWTP P = 4,000 TOTAL above = 158,000 to 323,000 Other inputs not in above? E.g. beef farms, other agricultural NET P ACCUMULATION is 107,000 to 272,000 kg/yr in basin Inaccuracies seem to be negligible compared to magnitude of inputs P loaded to reservoir: 51,400 kg/yr Cash crop harvest:? OUTPUTS Lumber P harvest:?

14 Long-Term Simulation Results Realistic? Purpose of our presentation is to gain your feedback to determine if results are realistic: 1. Do the available P mass balance data support this finding? 2. Are we modeling the P inputs, outputs and cycling in the system accurately enough to be relatively confident in such a finding?

15 Modeling of Cannonsville Reservoir Basin Soil and Water Assessment Tool version 2000 (SWAT2000) Continuous-time, spatially distributed model Not designed for detailed, single-event flood routing SWAT2000 has an ArcView 3.2 Interface (AVSWAT) to process input data and create model inputs Developed by USDA and Texas A&M Primarily agricultural model Applied throughout the US, including Texas, Illinois, and Pennsylvania

16 Building Block of SWAT: The Hydrologic Response Unit (HRU) Land Use + Soils Hydrologic Response Unit Model subdivides basin into subbasins Land use and soils are intersected within each subbasin These intersections are modeled independently within each subwatershed Average HRU size in this application is about 2 km 2

17 AVSWAT Processing Results HRUs & Subbasins in this application Note: HRUs are not spatially continuous, thus constituents are only routed at the subbasin scale

18 The Concept Behind SWAT Time/location Land Use + Soils Hydrologic Response Unit (HRU) Time routing Land Management Practices Streamflow Groundwater Surface Water Evapotranspiration Suspended Sediment (Soil) Phosphorus Concentrations

19 Soil Phosphorus Cycle in SWAT P forms tracked in SWAT

20 P-Source Representation in the SWAT Basin Model Manure and fertilizer P Forest P Groundwater and Septic System P Urban stormwater P Point source P (WWTP s)

21 Manure P Inputs to SWAT Manure mass, P content and timing of application Manure representation is approached from a mass balance basis at the subbasin level Subbasin specific cattle population data are used to estimate manure production rates Subbasin manure loads then allocated to the available agricultural land covers Dairy 90% of cattle manure P Beef 10% of cattle manure P Daily spreading is assumed

22 Spatial Manure Production and Application 1997 estimates of the cattle population Manure application timing and masses vary by land cover in each subbasin Rivers Subbasin Manure P in kg/ha Sources: P. Cerosaletti, D. Dewing, K. Czymmek, 1992 NRCS Ag. Survey in Cannonsville basin, US Ag. Survey

23 Model Development: Calibration and Validation Model calibrated from Jan to Sept for flow, sediment and phosphorus Model validated from Jan to Dec for hydrology and from Oct to Dec 1993 for sediment and phosphorus Main calibration and validation water quality station drains about 80% of the basin

24 Model Results Hydrology Walton Measured Predicted CALIBRATION Statistics: R 2 = 0.73 % Difference: 4.1 Jan-94 Apr-94 Jul-94 Oct-94 Jan-95 Apr-95 Jul-95 Oct-95 Jan-96 Apr-96 Jul-96 Oct-96 Jan-97 Apr-97 Jul-97 Oct-97 Jan-98 Apr-98 Jul-98 Oct-98 Jan-99 Apr-99 Jul-99 Oct-99 Jan-00 Apr-00 Jul-00 Avg monthly flow in CMS Date Walton Jan-90 Mar-90 May-90 Jul-90 Sep-90 Nov-90 Jan-91 Mar-91 May-91 Jul-91 Sep-91 Nov-91 Jan-92 Mar-92 May-92 Jul-92 Sep-92 Nov-92 Jan-93 Mar-93 May-93 Jul-93 Sep-93 Nov-93 Avg monthly flow in CMS VALIDATION Statistics: R 2 = 0.83 % Difference: 10.0 Measured Predicted Date

25 Model Results Total Phosphorus TOTAL P (TP) Beerston *98,000 Measured Predicted CALIBRATION Excluding Jan 96 R 2 : 0.47 % Difference: Jan-94 Apr-94 Jul-94 Oct-94 Jan-95 Apr-95 Jul-95 Oct-95 Jan-96 Apr-96 Jul-96 Oct-96 Jan-97 Apr-97 Jul-97 Oct-97 Jan-98 Apr-98 Jul-98 Oct-98 Jan-99 Apr-99 Jul-99 Oct-99 Jan-00 Apr-00 Jul-00 Monthly TP Load (kg) Date VALIDATION R 2 = 0.59 % Difference: Total P (TP) Beerston Measured Predicted Oct-91 Nov-91 Dec-91 Jan-92 Feb-92 Mar-92 Apr-92 May-92 Jun-92 Jul-92 Aug-92 Sep-92 Oct-92 Nov-92 Dec-92 Jan-93 Feb-93 Mar-93 Apr-93 May-93 Jun-93 Jul-93 Aug-93 Sep-93 Oct-93 Nov-93 Dec-93 Monthly TP Load (kg) Date

26 Long-Term Simulation Results Realistic? Annual Total P load in kg Total P to Reservoir Year 1. Do the available P mass balance data support this finding? 2. Are we modeling the P inputs, outputs and cycling in the system accurately enough to be relatively confident in such a finding?

27 Model Check kg of P to reservoir % reduction in 2004 Total P to Reservoir No Ag P Added to Soil Ag P Added to Soil 45 % reduction in Year - two-year repeating climate, steady-state inputs

28 1. Current Basin-Wide P Mass Balance P INPUTS in kg/yr Net dairy farm P= +142,500 to +307,500 Atmospheric P deposition = 5,000 Septic System P = 6,300 WWTP P = 4,000 TOTAL above = 158,000 to 323,000 Other inputs not in above? E.g. beef farms, other agricultural NET P ACCUMULATION is 107,000 to 272,000 kg/yr in basin Inaccuracies seem to be negligible compared to magnitude of inputs P loaded to reservoir: 51,400 kg/yr Cash crop harvest:? OUTPUTS Lumber P harvest:?

29 1. Details of Basin P Mass Balance P INPUTS TO WATERSHED: Septic Systems (Day, 2001) WWTP s monitoring data Atmospheric deposition P budget study of Hubbard Brook Experimental Forest (Yanai, 1992). Estimated atmospheric P inputs in rainfall at 0.04 kg P/ha/yr Other studies suggest atmospheric inputs > 0.04 kg P/ha/yr NET basin-wide dairy farm P mass balance extrapolated from dairy cattle population estimates and dairy P mass balance studies [Klausner (1993) & Tylutki & Fox (1997)] as reported in Cerosaletti (2002)

30 1. Details of Basin P Mass Balance NET DAIRY P INPUTS TO WATERSHED: data from previous sources suggest P accumulation rates at the farm scale range from 19 to 41 kg P/per cow/yr our current estimates put the basin-wide dairy cow population at 7500 cows (not counting calves, heifers) thus, extrapolating to basin-scale we estimate: 19*7500 to 41*7500 OR 142,500 to 307,500 kg P/yr remaining on dairy farms in the basin. even if the number of cows was 5000, this interval is still 95,000 to 205,000 kg P/yr

31 1. Question Assuming that net P inputs to the basin are greater than net P outputs, then: Where is the net increase in P on dairy farms going? Model represents the net increase by either increasing plant uptake or continually adding P to second soil layer.

32 1. P TRANSPORT WITH RESPECT TO SOIL LAYER 2 AS MODELED IN SWAT Rainwater Soluble Reactive P concentration Fertilizer = 0 P Top 10 mm (1) Layer Adjacent to Top 10 mm '(2) Surface Runoff interacting with layer 1 to transport all forms of P Leaching of soluble P to the second soil layer Remaining Layers (3) No transport of P modeled in layer 2 except plant uptake. no P flux across thick black boundary

33 1. Soil Profile P Long-term, does this continual build-up of soil P in soil layer 2 represent the realistic accumulation of soil P? In reality is there significant losses of soil P over the long-term from the second soil layer thru leaching or lateral transport? OR, does the P accumulate in such a way that it is totally unavailable for transport to streams?

34 2. Simplified P Cycle on Dairy Farm Based on Cerosaletti (2002) Purchased Feed COW Milk currently, we do not explicitly model these processes. CROPS SOILS MANURE We do simulate the harvest of crops and the generation of manure from a given cattle population. Exit soil profile Fertilizer Farm Boundary

35 2. Model Representation of P Cycling Net dairy farm P Net P = P in manure + P in Inorganic Fert. - P in removed crops 214,000 kg P in dairy manure + 25,800 kg inorganic P fertilizer spread on fields How much of this manure is part of the dairy farm P cycle? Corn Silage, Hay and pasture currently removed from HRUs by harvest or grazing (assumed to become feed in basin) Biomass grazed in pasture = approx. estimate of dry biomass consumed during grazing by current cattle population. Checking that total dry biomass harvested or grazed is less than dry biomass intake of current cattle population.

36 2. Model Representation of P Cycling If harvest/graze of biomass approximately equal to the estimated amount of dry biomass intake of current cattle population then: ASSUME model representation of P cycling is sufficient e.g. this transfer is reasonable in model Purchased Feed CROPS COW MANURE Milk SOILS Exit soil profile Fertilizer Farm Boundary

37 Conclusions and Future Work Refine P mass balance in absence of model for the basin Refine climate inputs Check mass balance of removed biomass versus estimated cattle consumption Possibly refine harvest amounts if necessary Redo the analysis after final model updates

38 QUESTIONS? The END

39 SWAT Spatial Input Data STATSGO Soil Coverage Land Use Classification A DEM (Digital Elevation Map) is also required

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