TY - JOUR
T1 - ‘HiFlo-DAT’: A flood hazard event-disaster database for the Kullu District, Himachal Pradesh, Indian Himalaya
AU - Johnson, Richard
AU - Pandey, Bindhy Wasini
AU - Chand, Kesar
AU - Davies, Ceri
AU - Edwards, Debra
AU - Edwards, Esther
AU - Jeffers, James
AU - King, Kieran
AU - Kuniyal, Jagdish Chandra
AU - Mishra, Himanshu
AU - Phillips, Victoria
AU - Roy, Nikhil
AU - Seviour, Jessica
AU - Sharma, Dev Dutt
AU - Sharma, Pushpanjali
AU - Singh, Harkanchan
AU - Singh, Ram Babu
N1 - Dr Richard M. Johnson, Associate Professor in Science and Environment, Institute of Science and Environment, Centre for National Parks and Protected Areas (CNPPA), University of Cumbria, UK.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
PY - 2025/4/1
Y1 - 2025/4/1
N2 - '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 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.
AB - '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 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.
KW - flood
KW - hazard
KW - disaster
KW - database
KW - India
KW - Himalaya
U2 - 10.1016/j.ijdrr.2025.105336
DO - 10.1016/j.ijdrr.2025.105336
M3 - Journal Article
SN - 2212-4209
VL - 120
SP - 105336
JO - International Journal of Disaster Risk Reduction
JF - International Journal of Disaster Risk Reduction
M1 - 105336
ER -