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Modifying the Sediment Yield Prediction of the Generalized Watershed Loading Functions (GWLF) Model

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Paper number  032064,  2003 ASAE Annual Meeting . (doi: 10.13031/2013.14941) @2003
Authors:   Guoshun Zhang, James M. Hamlett
Keywords:   GWLF, Non-point source pollution, TMDL, RUSLE

This research discusses different approaches of improving the monthly and annual sediment yield predictions of the Generalized Watershed Loading Functions (GWLF) model, which is a watershed model that predicts sediment and nutrient loss. The model has been found to be problematic in timing and magnitude of the sediment yield predictions.

In attempting to improve the sediment yield predictions, the sediment delivery ratio, soil erosion, and sediment transport capacity component of the GWLF model were modified with alternative algorithms. Results show that replacing the USLE erosion calculation with the RUSLE2 approach most improved the models performance. Changes of the sediment delivery ratio proportionally improved the magnitude of the model predictions, and the modifications to the sediment transport capacity did not improve the timing problem very much.

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