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‘HiFlo-DAT’

A flood hazard event-disaster database for the Kullu District, Himachal Pradesh, Indian Himalaya

Bibliographic Data

ID22029465
AuthorsRichard M Johnson (0000-0001-5639-3622), J O H N S O N Richard M (University of Bath, corresponding author), Bindhy Wasini Pandey (University of Delhi), Kesar Chand (0000-0002-5078-2202, G.B. Pant Institute of Himalayan Environment and Development), Ceri L Davies (University of Gloucestershire), Debra Edwards (University of Bath), Esther Edwards (University of Bath), James Jeffers (University of Bath), Kieran King (University of Bath), Jagdish Chandra Kuniyal (0000-0002-3365-0478, Veer Chandra Singh Garhwali Uttarakhand University of Horticulture & Forestry), Himanshu Mishra (0000-0001-8759-7812), Mishra Himanshu (University of Delhi), Victoria Phillips (0000-0002-8095-3535, University of Bath), Nikhil Roy (University of Delhi), Jessica Seviour (University of Bath), Dev Dutt Sharma (Himachal Pradesh University), Pushpanjali Sharma (Himachal Pradesh University), Harkanchan Singh (Government of Himachal Pradesh), Ram Babu Singh (University of Delhi)
Year2025
Volume120
Pages105336
Publication date2025-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Disaster Risk Reduction (JOURNAL)
Journal identifiersISSN: 2212-4209
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.ijdrr.2025.105336
OpenAlexW4407943783
LanguageEN
References cited31

‘HiFlo-DAT’ ( Hi malayan Flo od Dat abase) contributes to the disaster risk reduction (DRR) agenda of developing methodologies for the assembly, analysis, and application of disaggregated/sub-national 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 development include transference of the HiFlo-DAT methodology across the wider Indian Himalayan Region and trans-boundary basins; multi-disciplinary approaches to corroborate and extend documentary-based databases; improved access to public archive materials; routine integration of historical flood data into DRR/climate change adaptation management planning and infrastructure development design; and deeper multi-agency partnership to record contemporary flood impacts to provide effective data for current/future DRR. • ‘HiFlo-DAT’ ( H imalayan Fl ood Dat abase): Kullu District, Himachal Pradesh, India. • New world-leading knowledge: 128 floods, 59 locations, 1846–2020 (175 years). • Increasing flood incidence and losses towards the present. • Vulnerable communities (70 % fatalities) associated with construction projects. • Robust method for assembly of disaggregated/sub-national disaster loss data

Archaeology · Biology · Environmental planning · Environmental resource management · Flood myth · Forensic engineering · Geography · Hazard · Cryospheric studies and observations · Engineering · Environmental Science · Flood Risk Assessment and Management · Landslides and related hazards · Ecology

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