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Hydrological Appraisal of Munneru River Basin Using SWAT Model

2022; Springer Nature; Linguagem: Inglês

10.1007/978-981-19-0304-5_47

2366-2557

Eswar Sai Buri, K. Venkata Reddy, Kotapati Narayana Loukika,

Hydrological Forecasting Using AI

Precipitation, temperature and remaining meteorological and hydrological variables are affecting the stream flow in a catchment. Hydrological appraisal for any river basin using hydrological models is necessary in the view of changing climate. In the present study, changes in the stream flow for the observed period are assessed for Munneru River basin, which comes under lower Krishna River region, India, using SWAT model. The goal of the study is to calibrate and validate the SWAT model for the chosen period using geospatial, meteorological and hydrological data, which will aid in calculating stream flows and understanding the study area's hydrological parameters. For model set-up, observed data from 1980 to 2017 is considered, and data from 1980 to 1982 is taken as the warm-up period. The model is calibrated for the period1983–2002 and validated for 2003–2017 streamflow data. The calibration, validation and sensitivity analyses are carried out in SWAT-CUP using SUFI-2 algorithm. Coefficient of determination (R2) and Nash–Sutcliffe Efficiency (NSE) are used to evaluate the model performance. Results concluded that SWAT model simulates the stream flow at gauge station for the entire period of run with the correlation coefficient of 0.93 after updating the best-fitted parameters.