https://orcid.org/0000-0001-6974-484X
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ABSTRACT
Accurate forecasts are a necessity in a world with frequent flood disasters and climatic anomalies. Studies have demonstrated that one of the primary sources of uncertainty in flood modelling is the topographic input data, the bathymetry in particular. As high-resolution elevation/bathymetry datasets are often unavailable in developing regions, the present study benchmarks the freely available Indian National Digital Elevation Model (DEM) CartoDEM, against the currently preferred global DEM, SRTM, for 1D-hydrodynamic modelling. Techniques for improving simulated Water Surface Elevation (WSE) profiles, while using cross-sections derived from these free DEMs are proposed. A distributed vertical error characterization using ground surveyed control points was performed and used to correct the DEM-extracted cross-sections. The approach was tested by simulating a 25-year return period flood in a reach of the Erai River, near Chandrapur city in Maharashtra, India. The results show an improvement of ∼84% in the root-mean-squared-error value for the WSE generated by the SRTM after correction, while the CartoDEM degraded by ∼41%. It was observed that while the uncorrected CartoDEM performs better than the uncorrected SRTM, the converse is true after the bias correction.
Acknowledgements
The channel cross-sections, GCP data, and the Erai Dam release data were provided by the Irrigation Department, Chandrapur, for which the authors are grateful. This study would not have been possible without either of these contributions. The authors would also like to gratefully acknowledge the editor, associate editor, and the two anonymous reviewers for their detailed evaluation of the manuscript. Their comments helped significantly to improve the quality of the manuscript.
Disclosure statement
No potential conflict of interest was reported by the authors.
ORCID
Antara Dasgupta http://orcid.org/0000-0001-6974-484X
RAAJ Ramsankaran http://orcid.org/0000-0001-8602-1934