Assessing livelihood vulnerability of rural communities in the wake of recurrent tropical flood hazards in India

Aznarul Islam (), Susmita Ghosh () and Mohan Sarkar ()
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Aznarul Islam: Aliah University
Susmita Ghosh: Aliah University
Mohan Sarkar: Indian Institute of Technology Bombay

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2025, vol. 121, issue 1, No 27, 677-704

Abstract: Abstract Tropical riverine floods have escalated their frequency and magnitude causing individual and community-level livelihood vulnerability, especially in the rural areas. Livelihood vulnerability induces social vulnerability in a community in the face of recurrent floods. Thus, while measuring livelihood vulnerability, the non-technocratic factors were emphasized. The livelihood vulnerability index (LVI) devised by the Intergovernmental Panel on Climate Change in 2007 is a widely accepted livelihood vulnerability framework that is applied in the present study to reveal the nature of exposure, sensitivity, and adaptive capacity of rural communities. The study measures 36 parameters based mainly on the primary field survey of 2382 households in the Mayurakshi River Basin (India) along with district census reports, annual flood reports, satellite images and topographical maps. The result depicts that Kandi is the most exposed community development block (score: 0.591) owing to low-lying topography and drainage congestion, with a greater adaptive capacity (score: 0.480) on account of the receipt of higher foreign remittances. Thus, floods could not escalate the livelihood vulnerability due to the rural communities’ higher adaptive capacity. However, the nature of the LVI is primarily determined by the flood hazards, as shown by the close clustering of LVI and exposure using principal component analysis. The hierarchical cluster analysis depicts that the northern part of the study area, characterized by the lower flood hazards, is distinctly separated from the southern part in terms of the LVI. The one-way ANOVA also found significant differences (p

Keywords: Social vulnerability; Livelihood vulnerability index; Exposure; Sensitivity; Adaptive capacity; Mayurakshi River Basin (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s11069-024-06847-z

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