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Flood proneness and coping strategies: the experiences of two villages in Bangladesh
Abstract
This paper explores peoples' indigenous survival strategies and assesses variations in people's ability to cope with floods in two flood‐prone villages in Bangladesh. It reveals that people continuously battle against flood vulnerability in accordance with their level of exposure and abilities, with varied strategies employed at different geophysical locations. The paper reports that people in an area with low flooding and with better socioeconomic circumstances are more likely to cope with impacts compared to people in areas with high and sudden flooding. Similarly, households' ability to cope varies depending on people's socioeconomic conditions, such as education, income and occupation. Although floods in Bangladesh generate socioeconomic misery and cause damage to the environment, health and infrastructure, people's indigenous coping strategies have helped them to reduce significantly their vulnerability. Such flood‐mitigating strategies should be well recognised and emphasised further via proper dissemination of information through an early‐warning system and subsequently external assistance.
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“The populations residing next to the rivers have developed a range of coping strategies to minimize the damage resulting from floods (e.g., raising the platform of the house; Paul & Routray, 2010) and erosion (e.g., planting vegetation on the riverbank; Mamun et al., 2022).”
From Environmental shocks and migration among a climate-vulnerable population in Bangladesh (2025) · cites this paper as Paul & Routray, 2010
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“The populations residing next to the rivers have developed a range of coping strategies to minimize the damage resulting from floods (e.g., raising the platform of the house; Paul & Routray, 2010) and erosion (e.g., planting vegetation on the riverbank; Mamun et al., 2022).”
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Metadata
- Authors
- Paul, S. K., & Routray, J. K.
- Affiliations
- Asian Institute of Technology (TH)
- Corresponding author
- Paul, Shitangsu Kumar
- Routray, Jayant K.
- Venue
- Disasters
- Publisher
- Wiley
- Published
- 2010-03-08
- Volume
- 34
- Issue
- 2
- Pages
- 489-508
- ISSN
- 0361-3666 (ISSN-L)
- 1467-7717
- OpenAlex
- W2058006000
- Cited by
- 188
- References
- 44
- Citations by year
- 2026: 10 · 2025: 15 · 2024: 8 · 2023: 10 · 2022: 18 · 2021: 10 · 2020: 20 · 2019: 13 · 2018: 5 · 2017: 14 · 2016: 11 · 2015: 16 · 2014: 14 · 2013: 8 · 2012: 10
- FWCI
- 4.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Disasters (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Asian Institute of Technology
- Direktoratet for Utviklingssamarbeid
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Flood Risk Assessment and Management
- Social Sciences › Sociology and Political Science › Disaster Management and Resilience
- Social Sciences › Geography, Planning and Development › Earthquake and Disaster Impact Studies
- Keywords
- flood coping strategies, flood vulnerability, socioeconomic vulnerability, flood exposure, household resilience, early warning systems, disaster risk reduction, Bangladesh villages
- MeSH terms
- Adaptation, Psychological, Bangladesh, Developing Countries, Disaster Planning, Geography, Humans, Rural Population, Socioeconomic Factors, Focus Groups, Population Groups, Floods
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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