Academic Journal
A district-level flood severity index for flood management in India.
| Title: | A district-level flood severity index for flood management in India. |
|---|---|
| Authors: | Saharia, Manabendra, Jain, Sharad K., Prakash, Ved, Malik, Harshul, Sreejith, O. P., Joshi, Dheeraj |
| Source: | Natural Hazards; Aug2025, Vol. 121 Issue 15, p17815-17831, 17p |
| Subject Terms: | Flood damage, Economic impact, Floodplain management, Natural disasters, Emergency management, Historical source material |
| Geographic Terms: | India |
| 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. Highlights: 1. India faces floods recurrently, causing huge adverse impacts to life and assets. However, a comprehensive flood severity index is missing. 2. A district level flood severity index is developed using the India Flood Inventory with Impacts (IFI-Impacts) database containing data of variables representing the occurrence of floods and damage due to floods. 3. Since district is the most relevant unit for planning and decision making, a DFSI would be of immense value for flood management. [ABSTRACT FROM AUTHOR] |
| Copyright of Natural Hazards is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Complementary Index |
| FullText | Links: – Type: other Text: Availability: 0 CustomLinks: – Url: https://dx.doi.org/doi:10.1007/s11069-025-07493-9 Name: EDS - Springer Nature Journals (s7799221) Category: fullText Text: View record at Springer |
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| Header | DbId: edb DbLabel: Complementary Index An: 187534315 RelevancyScore: 1007 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1007.33715820313 |
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| Items | – Name: Title Label: Title Group: Ti Data: A district-level flood severity index for flood management in India. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Saharia%2C+Manabendra%22">Saharia, Manabendra</searchLink><br /><searchLink fieldCode="AR" term="%22Jain%2C+Sharad+K%2E%22">Jain, Sharad K.</searchLink><br /><searchLink fieldCode="AR" term="%22Prakash%2C+Ved%22">Prakash, Ved</searchLink><br /><searchLink fieldCode="AR" term="%22Malik%2C+Harshul%22">Malik, Harshul</searchLink><br /><searchLink fieldCode="AR" term="%22Sreejith%2C+O%2E+P%2E%22">Sreejith, O. P.</searchLink><br /><searchLink fieldCode="AR" term="%22Joshi%2C+Dheeraj%22">Joshi, Dheeraj</searchLink> – Name: TitleSource Label: Source Group: Src Data: Natural Hazards; Aug2025, Vol. 121 Issue 15, p17815-17831, 17p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Flood+damage%22">Flood damage</searchLink><br /><searchLink fieldCode="DE" term="%22Economic+impact%22">Economic impact</searchLink><br /><searchLink fieldCode="DE" term="%22Floodplain+management%22">Floodplain management</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+disasters%22">Natural disasters</searchLink><br /><searchLink fieldCode="DE" term="%22Emergency+management%22">Emergency management</searchLink><br /><searchLink fieldCode="DE" term="%22Historical+source+material%22">Historical source material</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22India%22">India</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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. Highlights: 1. India faces floods recurrently, causing huge adverse impacts to life and assets. However, a comprehensive flood severity index is missing. 2. A district level flood severity index is developed using the India Flood Inventory with Impacts (IFI-Impacts) database containing data of variables representing the occurrence of floods and damage due to floods. 3. Since district is the most relevant unit for planning and decision making, a DFSI would be of immense value for flood management. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Natural Hazards is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11069-025-07493-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 17815 Subjects: – SubjectFull: India Type: general – SubjectFull: Flood damage Type: general – SubjectFull: Economic impact Type: general – SubjectFull: Floodplain management Type: general – SubjectFull: Natural disasters Type: general – SubjectFull: Emergency management Type: general – SubjectFull: Historical source material Type: general Titles: – TitleFull: A district-level flood severity index for flood management in India. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Saharia, Manabendra – PersonEntity: Name: NameFull: Jain, Sharad K. – PersonEntity: Name: NameFull: Prakash, Ved – PersonEntity: Name: NameFull: Malik, Harshul – PersonEntity: Name: NameFull: Sreejith, O. P. – PersonEntity: Name: NameFull: Joshi, Dheeraj IsPartOfRelationships: – BibEntity: Dates: – D: 20 M: 08 Text: Aug2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 0921030X Numbering: – Type: volume Value: 121 – Type: issue Value: 15 Titles: – TitleFull: Natural Hazards Type: main |
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