Floods are the most recurring and catastrophic events that cause many causalities, heavy toll on human lives, and geological damage to the topology. Floods cannot be stopped completely, but their effect can be minimized by proper flood mitigation practices using Flood modeling. Flood modeling is one of the best non-structural measures used to minimize the effect of flooding, but it is intricate in emerging countries due to data scantiness. In the present study, 1 D hydrodynamic MIKE Hydro and HEC-RAS models are developed for Krishna River and its tributary Bhima River, India. Digital elevation model of 12.5 m resolution downloaded from the Alaska satellite facility is incorporated into the study to extract the geometry and cross-sections of the Krishna and Bhima rivers. The performance of the models is assessed through statistical parameters such as Correlation coefficient (CC), Root mean square error (RMSE), Percentage deviation in peak (% deviation), and Index of agreement (d). The flood water level estimates acquired with the MIKE Hydro River models indicate a good model performance and can be applied to similar geographical conditions. The better performance of MIKE Hydro River is due to manual digitization of river reach leading to realistic cross-section estimation and flow velocity. The outcomes of the study can help policymakers in planning flood mitigation strategies and resource allocation.
