Effects of Climate Change on Streamflow in the Godavari Basin Simulated Using a Conceptual Model including CMIP6 Dataset

Hydrological reaction to climate change anticipates water cycle alterations. To ensure long-term availability and accessibility, it is essential develop sustainable management strategies better hydrological models that can simulate peak flow. These efforts will aid in resource planning, management, mitigation. This study develops compares Sacramento, Australian Water Balance Model (AWBM), TANK, SIMHYD conceptual daily streamflow at Rajegaon station of the Pranhita subbasin Godavari basin India. The uses Indian Meteorological Department (IMD) gridded rainfall temperature datasets. For 1987–2019, 70% were calibrated 30% validated. Pearson correlation (CC), Nash Sutcliffe efficiency (NSE), Root mean square error (RMSE), coefficient determination (CD) between observed simulated evaluate model efficacy. best (Sacramento) selected forecast future for SSP126, SSP245, SSP370, SSP585 scenarios near (2021–2040), middle (2041–2070), far (2071–2100) using EC-Earth3 data was resampled bias-corrected distribution mapping. In future, scenario had most significant relative (55.02%) absolute rise annual (3.29 °C). 95th percentile monthly wettest July anticipated 40.09% 127.06% 73.90% 215.13%. SSP370 predicted largest increases all three time periods. near, middle, projects yearly changes 72.49%, 93.80%, 150.76%. Overall, findings emphasize importance considering potential impacts on resources effective practices.