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ARS Home » Plains Area » Bushland, Texas » Conservation and Production Research Laboratory » Soil and Water Management Research » Research » Publications at this Location » Publication #273788

Title: ADAPT model: Model use, calibration and validation

item Gowda, Prasanna
item MULLA, DAVID - University Of Minnesota
item DESMOND, ERIC - The Ohio State University
item WARD, ANDREW - The Ohio State University
item Moriasi, Daniel
item ALE, SRINIVASULU - Texas Agrilife Research

Submitted to: Transactions of the ASABE
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 6/12/2012
Publication Date: 6/12/2012
Citation: Gowda, P., Mulla, D.J., Desmond, E.D., Ward, A.D., Moriasi, D.N., Ale, S. 2012. ADAPT model: Model use, calibration and validation. Transactions of the ASABE. 55(4):1345-1352.

Interpretive Summary: This paper presents an overview of the Agricultural Drainage and Pesticide Transport (ADAPT) model. It is a daily time step model, developed by Ohio State University to evaluate effects of water table management practices on water quality in an agricultural system. The ADAPT model was developed as an extension of the GLEAMS model by extending with subsurface tile drainage, sub-irrigation, deep seepage, and associated water quality processes. A case study was presented to demonstrate the calibration and validation of the model. Sensitive parameters, weaknesses and strengths of the ADAPT model are presented and discussed.

Technical Abstract: This paper presents an overview of the Agricultural Drainage and Pesticide Transport (ADAPT) model and a case study to illustrate the calibration and validation steps for predicting subsurface tile drainage and nitrate-N losses from an agricultural system. The ADAPT model is a daily time step field scale water table management model which was developed as an extension of the GLEAMS model. The GLEAMS algorithms were augmented with algorithms for subsurface drainage, subsurface irrigation, and deep seepage and related water quality processes. Other enhancements included adding the Doorenbos and Pruitt potential evapotranspiration method as an alternative to the Ritchie method; modifying the run-off curve number based on daily soil water conditions; adding a Green-Ampt infiltration model; modeling snow-melt; and accounting for macropore flow. Recently, a frost depth algorithm was incorporated to enhance the model's capability to predict flow during spring and fall months. The ADAPT model gives estimates of pesticides and nutrients in tile drainage, in addition to the normal GLEAMS output. The model has four components: hydrology, erosion, nutrient and pesticide transport. The weather data required for the ADAPT model are precipitation, temperature, wind speed, relative humidity, and solar radiation for the duration of simulation. However, the model has the option of generating relative humidity and wind speed data if not available. The model was calibrated and validated throughout the Midwest U.S. In 1999, a spatial process model that uses the ADAPT model for predicting flow, and nutrient discharges was developed and evaluated in northern Ohio, this model was successfully used in numerous water quality studies in Minnesota. Recently, the ADAPT model was further calibrated and validated in southern Minnesota to evaluate impacts of tile drain spacing and depth, rate and timing of nitrogen application, and precipitation changes on water quality.