Estimation of Runoff in Data Scare Watershed of Middle Gujarat, India Using HEC-HMS Model
نویسندگان
چکیده
The accurate estimation of the hydrologic response in water resources planning and development is crucial. In this study, rainfall-runoff relationship Devgadh Baria watershed Panam river catchment were investigated. Due to limited availability accuracy runoff data, Clark UH, SCS UH models explored for estimation. Remote sensing GIS techniques integrated assess ungauged Middle Gujarat region.
 Rainfall discharge Sentinel-2 12.5m ALOS PALSAR DEM, base maps, soil maps collected from various sources. study area's five different events randomly selected, a Thiessen map was prepared calculate weighted rainfall. Geomorphological parameters Horton's ratios estimated using remote software ILWIS.
 composite curve number (CN) found be 77.69. Excess-rainfall hyetographs separated SCS-loss method, time peak by matched well with observed except one-day delay HEC-HMS based model.
 Four performance indices, namely NSE, PBIAS, RMSE, d, used compare model performance. demonstrated highest NSE value (-0.28) event-1, while showed lowest event-1. outperformed other on indicators d. Overall, approach provided best discharge. direct surface hydrographs using.
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ژورنال
عنوان ژورنال: International Journal of Enviornment and Climate Change
سال: 2023
ISSN: ['2581-8627']
DOI: https://doi.org/10.9734/ijecc/2023/v13i92329