A district-level flood severity index for flood management in India

Manabendra Saharia (), Sharad K. Jain, Ved Prakash, Harshul Malik, O. P. Sreejith and Dheeraj Joshi
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Manabendra Saharia: Indian Institute of Technology Delhi
Sharad K. Jain: Indian Institute of Technology Roorkee (Currently at Indian Institute of Technology Gandhinagar)
Ved Prakash: Indian Institute of Technology Delhi
Harshul Malik: Indian Institute of Technology Delhi
O. P. Sreejith: India Meteorological Department
Dheeraj Joshi: National Mission for Clean Ganga, Ministry of Jal Shakti

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2025, vol. 121, issue 15, No 22, 17815-17831

Abstract: Abstract India is one of the worst affected countries in the world in terms of fatalities and economic damage due to natural disasters, particularly floods. For planning flood mitigating and relief measures, granular historical information on a pan-India basis is required, which has been missing. Through recent efforts, a few national scale datasets have been created, but they lack the requisite information on fatalities and damages, which has limited the ability to develop a flood severity index. This paper describes the development of the India Flood Inventory with Impacts (IFI-Impacts) database, which contains death and damage statistics, and combines population and historically flooded area information sourced from a national hydrologic-hydrodynamic modeling system. We also propose a novel District Flood Severity Index (DFSI), which accounts for the historical severity of floods in India based on the number of people they have affected and the spread and duration of such floods. Districts being the administrative units of the government, this novel index fulfills a major need and gap in currently available flood management tools. The dataset as well as the index is expected to significantly advance disaster preparedness towards floods in the country. DFSI can be improved further by collecting and incorporating additional variables, e.g., economic losses and by improving the reliability/robustness of the data of other variables. Based on DFSI, actions need to be addressed to mitigate flood damages, beginning with the districts with the high DFSI values.

Keywords: Flood database; Inundation; Population; Hazard assessment; Flood severity index; Flashiness; ILDAS; DFSI (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s11069-025-07493-9

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