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- W1994880192 abstract "Numerous best management practices (BMPs) are available to reduce soil erosion and sediment in runoff from cropland, where non-point source pollution is a serious problem. Water quality models are being extensively used to simulate agricultural practices. The objective of this study was to calibrate and validate sediment-yield predictions by identifying the best USLE C factor using SWAT water quality model for field-scale till and no-till management practices over a period of 2000-2004. USLE C factor, selected as the calibration parameter, was varied within 200% from the text book (baseline) value for each plot (including 3 calibration and 3 validation plots). The SWAT model under predicted the sediment-yield compared to measured sediment-yield for all the treatments. No-till deep banded application resulted in the highest daily modeling efficiency (Ef* = 0.60). Generally, model performed well in simulating the validation plots (R2: 0.21 to 0.44 and Ef*: -0.81 to 0.49). No-till deep-banded application gave the best simulation statistics. The results of this study can be used to help modeling other fields and watersheds where no measured data are available for simulating best management practices." @default.
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- W1994880192 date "2006-01-01" @default.
- W1994880192 modified "2023-10-16" @default.
- W1994880192 title "Calibration and Validation of SWAT for Field-scale Sediment-Yield Prediction" @default.
- W1994880192 doi "https://doi.org/10.13031/2013.23247" @default.
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