This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: http://doi.org/10.1007/s11069-021-04698-6. This is version 2 of this Preprint.
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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 etc. 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.
DOI
https://doi.org/10.31223/X5XS3V
Subjects
Civil and Environmental Engineering, Hydraulic Engineering
Keywords
Flood database, Global hazard assessment, impact assessment, hydrological modeling, hazard assessment, impact assessment
Dates
Published: 2020-10-25 15:00
Last Updated: 2021-03-24 20:36
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License
CC BY Attribution 4.0 International
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Conflict of interest statement:
None
Data Availability (Reason not available):
The data will be released on acceptance in a journal as the preprint will go for review soon.
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