‘HiFlo-DAT’: A flood hazard event-disaster database for the Kullu District, Himachal Pradesh, Indian Himalaya

Johnson, Richard M., Pandey, Bindhi Wasini, Chand, Kesar, Davies, Ceri L ORCID: https://orcid.org/0000-0003-3484-2866, Edwards, Debra, Edwards, Esther, Jeffers, James, King, Kieran, Kuniyal, Jagdish Chandra, Mishra, Himanshu, Phillips, Victoria, Roy, Nikhil, Seviour, Jessica, Sharma, Dev Dutt, Sharma, Pushpanjali, Singh, Harkanchan and Singh, Ram Babu (2025) ‘HiFlo-DAT’: A flood hazard event-disaster database for the Kullu District, Himachal Pradesh, Indian Himalaya. International Journal of Disaster Risk Reduction, 120. art: 105336. doi:10.1016/j.ijdrr.2025.105336

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Text 14883 Johnson, Pandey, Chand, Davies, Edwards, Edwards, Jeffers, King, Kinyal, Mishra, Phillips et al (2025) 'HiFlo-DAT' - a flood hazard event-disaster database for the Kullu district, Himachal Pradesh, India Himalaya.pdf - Published Version Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (12MB) | Preview

Abstract

‘HiFlo-DAT’ (Himalayan Flood Database) contributes to the disaster risk reduction (DRR) agenda of developing methodologies for the assembly, analysis, and application of disaggregated/subnational disaster loss data; here for mountain floods in the Kullu District, Himachal Pradesh, India. The HiFlo-DAT architecture is aligned to international best practice/local needs. It uses English-language documents, principally newspapers and government reports (1835–2020), and comprises 128 flood events, at 59 locations, over 175 years (1846–2020). This open-access database brings a substantial improvement over existing compilations. Subject to the fidelity of historical event recording, analyses highlight temporal/process patterns inclusive of flood-rich periods (1890–1900s; 1990s-present: 68% of events), increasing flood occurrence towards the present, the prevalence of rainfall causation (55%), and the dominance of summer monsoon flooding (June–September: 87%). Spatially, of the 59 locations recording floods, 76% record a single event, 24% have two or more events, and four tributaries record 8–14 events. Key flood impact receptors were roads (55 floods), bridges (54 floods and 94 impacts) and vulnerable labourer-migrant communities (70% fatalities and 83% affected) notably associated with construction projects in remote/exposed locations. Key opportunities for policy and practice

Item Type:	Article
Article Type:	Article
Uncontrolled Keywords:	Flood; Hazard; Disaster; Database; India; Himalaya
Related URLs:	Dataset Dataset
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) G Geography. Anthropology. Recreation > GB Physical geography G Geography. Anthropology. Recreation > GE Environmental Sciences
Divisions:	Schools and Research Institutes > School of Education and Science
Depositing User:	Ceri Davies
Date Deposited:	18 Mar 2025 12:02
Last Modified:	18 Mar 2025 12:15
URI:	https://eprints.glos.ac.uk/id/eprint/14883

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