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Click on “Download PDF” for the PDF version or on the title for the HTML version. If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options. Evaluation of Predicted Long-term Water Quality Trends to Changes in N Fertilizer Management Practices for a Cold ClimatePublished by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org Citation: Paper number 052226, 2005 ASAE Annual Meeting . (doi: 10.13031/2013.19816) @2005Authors: Vinay Nangia, Prasanna H. Gowda, David J. Mulla, Kevin Kuehner Keywords: Water quality, ADAPT, nutrient management, nitrate-nitrogen, modeling Objectives of this study were to calibrate and validate a water quality model for monthly flow and NO3-N losses, and evaluate a set of alternative nutrient management practices to reduce NO3-N losses in an agricultural watershed. A dynamic watershed scale spatial modeling approach that uses ADAPT, a field scale model and GIS was calibrated to predict monthly flow and NO3-N losses from a sub-watershed of Seven Mile Creek in south-central Minnesota. It is a 4029-ha watershed with over 85% of the total area under agriculture. Calibration and validation of the model were done using monitoring data from 2000-2002 and 2003-2004, respectively. For the calibration period, the model predicted mean monthly flow and NO3-N losses of 0.38 m3/s and 4.04 kg/ha, respectively, against measured flow and NO3-N losses of 0.48 m3/s and 3.77 kg/ha, respectively. For the validation period, the predicted mean monthly flow and NO3-N losses were 0.29 m3/s and 2.93 kg/ha, respectively, against measured flow and NO3-N losses of 0.18 m3/s and 1.37 kg/ha, respectively. Long-term simulations were made for a wide range of climatic conditions between 1955 and 2004 to evaluate the effects of fertilizer management practices on the NO3-N losses. A 35% reduction in NO3-N losses was observed when application rate and timing were changed from a fall application of 179.3 kg/ha to a spring application of 112 kg/ha. (Download PDF) (Export to EndNotes)
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