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Rainfall Runoff Modeling Using HEC-HMS for Munneru River Basin, India

2024; Springer Nature; Linguagem: Inglês

10.1007/978-981-99-8568-5_32

2366-2557

Eswar Sai Buri, Keesara Venkatareddy, Kotapati Narayana Loukika,

Hydrological Forecasting Using AI

The aim of this study was to assess the accuracy and suitability of the Hydrologic Engineering Center (HEC)—Hydrologic Modeling System (HMS) in predicting daily streamflows. In this study, we utilized the models that were integrated with the ArcGIS interface for hydrological research for the Munneru River basin, India comes under Lower Krishna River basin covering the drainage area of 10,390 square kilometers. The main focus of the streamflow analysis was to determine the effectiveness of the model when calibrated and optimized using observed flows in simulating gauged streamflows. To run the model, daily weather gauge station data for the 1993–2017 period were used as inputs, along with Land Use/Land Cover (LU/LC) classes generated from remote sensing satellite imagery, a soil map, and a Digital Elevation Model (DEM). To assess model performance and calibration, daily stream discharge data from the Keesara gauge station maintained by Central Water Commission (CWC) which is an outlet of the basin were utilized.