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Evaluation of HEC-HMS and WEPP for simulating watershed runoff using remote sensing and geographical information system
Authors:Arbind K Verma  Madan K Jha  Rajesh K Mahana
Institution:1.Agricultural and Food Engineering Department,Indian Institute of Technology Kharagpur,Kharagpur,India
Abstract:Although a variety of rainfall-runoff models are available, selection of a suitable rainfall-runoff model for a given watershed is essential to ensure efficient planning and management of watersheds. Such studies are relatively limited in developing nations, including India. In this study, rainfall-runoff modeling was carried out using HEC-HMS and WEPP hydrologic models, and remote sensing and GIS (geographical information system) techniques in the Upper Baitarani River basin of Eastern India using daily monsoon season (June–October) rainfall and the corresponding streamflow data of 6 years (1999–2005). Other input data such as soil map, land use/land cover map, and slope map were prepared using remote sensing and GIS techniques. The modeling results revealed that both the models under predict streamflow for 1999, 2002, 2004, and 2005 and over predict for 2001 and 2003, whereas HEC-HMS under predicts and WEPP over predicts streamflow for the year 2000. The percent deviation of total runoff volume simulated by HEC-HMS ranges between −2.55 and 31%, while it varies from −13.96 to 13.05% for the WEPP model which suggests that the WEPP model simulates annual flow volumes more accurately than the HEC-HMS model for most years. However, the lower values of root mean square error (RMSE) and RMSE-observation standard deviation ratio coupled with the higher values of Nash–Sutcliffe efficiency, percent deviation and coefficient of determination for HEC-HMS during calibration and validation periods indicated that the streamflow simulated by HEC-HMS is more reliable than that simulated by WEPP. Overall, it is concluded that the HEC-HMS model is superior to the WEPP model for simulating daily streamflow in the Baitarani River basin of Eastern India.
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