Open AccessAssessment of high‐resolution satellite rainfall estimation products in a streamflow model for flood prediction in the Bagmati basin, Nepal
Author(s) -
Bajracharya S.R.,
Shrestha M.S.,
Shrestha A.B.
Publication year - 2017
Publication title -
journal of flood risk management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.049
H-Index - 36
ISSN - 1753-318X
DOI - 10.1111/jfr3.12133
Subject(s) - streamflow , flood forecasting , environmental science , flood myth , hydrology (agriculture) , structural basin , storm , climatology , drainage basin , meteorology , geology , geography , cartography , geotechnical engineering , archaeology , paleontology
The use of appropriate hydrological models with real‐time satellite rainfall estimates can help mitigate flood damage, provide support to contingency planning, and provide warning to people threatened by floods. In this study, the simulated streamflow from the Geospatial Stream Flow Model ( GeoSFM ) using NOAA C limate Prediction Centre Rainfall Estimates Version 2.0 ( RFE ) data was compared with observed streamflow in the Bagmati basin. The model showed poor performance when forced with 2002 monsoon RFE . However, the simulated streamflow showed a significant improvement when using improved RFE by incorporating local rain gauge data into the rainfall estimate. Simulated streamflow was much closer to the observed discharge, with a Nash–Sutcliffe efficiency coefficient of 0.91, flow ratio of 1.1, and coefficient of determination of 0.92. Thus, improved RFE can be considered for use in flood prediction. A flood hazard map prepared using the extreme rainfall event showed an inundation area of 315 km 2 , 8.4% of the basin.