India flood inventory: creation of a multi-source national geospatial database to facilitate comprehensive flood research

Manabendra Saharia (), Avish Jain, Ronit Raj Baishya, Saagar Haobam, O. P. Sreejith, D. S. Pai and Arezoo Rafieeinasab
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Manabendra Saharia: Indian Institute of Technology Delhi
Avish Jain: Indian Institute of Technology Delhi
Ronit Raj Baishya: Jorhat Engineering College
Saagar Haobam: Jorhat Engineering College
O. P. Sreejith: Indian Meteorological Department, Ministry of Earth Sciences
D. S. Pai: Indian Meteorological Department, Ministry of Earth Sciences
Arezoo Rafieeinasab: National Center for Atmospheric Research

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2021, vol. 108, issue 1, No 26, 619-633

Abstract: Abstract Floods are one of the most devastating natural hazards across the world, with India being one of the worst affected countries in terms of fatalities and economic damage. In-depth research is required in order to understand the complex hydrometeorological and geomorphic factors at play and design solutions to minimize the impact of floods. But the existence of a historical inventory of floods is imperative to promote such research endeavors. Though, a few global inventories exist, they lack the spatio-temporal fidelity necessary to make them useful for computational research due to reasons such as concentrating exclusively on large floods, limited temporal scope, non-standard data formats. Therefore, there is an urgent need for developing a new database that combines data from global and hitherto-underutilized local datasets using an extensible and common schema. This paper describes the ongoing effort of building the India Flood Inventory (IFI), which is the first freely available, analysis-ready geospatial dataset over the region with detailed qualitative and quantitative information regarding floods, including spatial extents. The paper outlines the methodology that has been adopted as well as some preliminary findings using the data contained in this inventory. This dataset is expected to advance the understanding of flood processes in the worst affected region of the world.

Keywords: Flood database; Hazard assessment; Impact assessment; Hydrological modeling (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11069-021-04698-6

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