Title: Comparative analysis of 1D hydrodynamic flood model using globally available DEMs – a case of the coastal region

Authors: Azazkhan I. Pathan; Prasit G. Agnihotri; Saeid Eslamian; Dhruvesh Patel

Addresses: Department of Water Resources Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat, India ' Department of Water Resources Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat, India ' Department of Water Engineering, College of Agriculture, Isfahan University and Technology, Isfahan, 8415683111, Iran; Center of Excellence in Risk Management and Natural Hazards, Isfahan University and Technology, Isfahan, 8415683111, Iran ' Department of Civil Engineering, Pandit Deendayal Petroleum University, Gandhinagar, Gujarat, India

Abstract: Flooding is a natural catastrophe that can lead to major disasters and hence it becomes necessary to develop precautionary measures to minimise flood impacts. The present study is a comparative analysis of three globally available DEMs in flood modelling. This research demonstrates the usefulness of the SRTM in 1D hydrodynamic flood modelling using HEC-RAS mapper on the River Purna at Navsari city, Gujarat, India. Additionally, other DEMs like ALOS PALSAR, and Cartosat-1 are used to make a comparative analysis. The outcomes of these models are compared with the observed data; the R² values for ALOS PALSAR, Cartosat 1, and SRTM are 0.9677, 0.9342, and 0.9914, respectively, which shows that SRTM provides the best match with the observed values. The approach presented in this study gives the applicability of the DEMs for flood modelling in the data-scarce region, which will be helpful for decision-makers to take precautionary measures and to predict the severity caused by an event.

Keywords: flood; DEMs; HEC-RAS mapper; modelling; geospatial techniques; region under study.

DOI: 10.1504/IJHST.2022.119263

International Journal of Hydrology Science and Technology, 2022 Vol.13 No.1, pp.92 - 123

Received: 04 Oct 2020
Accepted: 03 Nov 2020
Published online: 30 Nov 2021 *

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