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Journal article

Disparities in exposure to hydrogeomorphic hazards in Bangladesh

Abstract:
Natural hazards can impair socio-economic development. While population exposure to various natural hazards has been quantified, the exposure to hydrogeomorphic hazards – involving water-induced landscape changes – remains unknown. Using high-resolution hydrogeomorphic modelling, combined with population and wealth data, this study provides a national-scale spatial assessment of exposure to hydrogeomorphic hazards across population and wealth groups, taking Bangladesh as a case study. Bangladesh is an exceptionally geo-dynamic country, where multiple hazards coincide with a dense population (1300 people per km2) and a high poverty rate (20%). Here we show that over 22 million people, making up 13% of the population, live within hydrogeomorphically unstable regions. Of the 22 million, 86% are within the lowest wealth groups of the population. Given such a high level of disparity in exposure, hydrogeomorphic hazards must be incorporated into disaster risk management and poverty alleviation efforts in Bangladesh and beyond.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41467-025-64920-y

Authors

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Institution:
University of Oxford
Division:
SSD
Department:
SOGE
Sub department:
Environmental Change Institute
Role:
Author
ORCID:
0000-0002-3199-0858
More by this author
Role:
Author
ORCID:
0000-0002-3029-659X
More by this author
Role:
Author
ORCID:
0000-0002-8351-9064
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
SOGE
Sub department:
Environmental Change Institute
Role:
Author
ORCID:
0000-0002-2024-9191


Publisher:
Nature Research
Journal:
Nature Communications More from this journal
Volume:
16
Issue:
1
Article number:
10208
Publication date:
2025-11-20
Acceptance date:
2025-09-25
DOI:
EISSN:
2041-1723
ISSN:
2041-1723


Language:
English
Pubs id:
2333499
UUID:
uuid_ae57365b-6dad-4ed0-8047-030e134aeba0
Local pid:
pubs:2333499
Source identifiers:
3491944
Deposit date:
2025-11-20
ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.

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