Assessing and mapping the vulnerability index of Bangladesh to natural and climate-induced disasters: A spatial analysis at the subdistrict level

This study assesses and maps the vulnerability index of Bangladesh at the subdistrict level to a range of natural and climate-induced disasters. Four vulnerability index maps are created using principal component analysis and categorized into five risk levels: (1) no/very low risk, (2) low risk, (3) moderate risk, (4) high risk and (5) very high risk for each sub-district. The results reveal that the south east region is highly vulnerable to cyclones, Haor region stands out as the most vulnerable area for flash floods, with numerous subdistricts facing very high to high risk levels; northern and north-eastern regions are prone to cold waves, while the western part of Bangladesh is highly vulnerable to heat waves. This comprehensive spatial analysis provides critical information for disaster risk reduction and adaptation strategies, assisting decision-makers in identifying the most vulnerable areas and prioritizing interventions. The findings of this study might be useful for policymakers as well as planners.

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Publication Details

Journal
Journal of Agrometeorology
Published
2024-12-01
DOI
https://doi.org/10.54386/jam.v26i4.2710
Primary Topic
Agricultural risk and resilience
Type
article
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article

Assessing and mapping the vulnerability index of Bangladesh to natural and climate-induced disasters: A spatial analysis at the subdistrict level

naznine Khanum, Urmee Ahsan, Farhana Hoque, Md. Mafizur Rahman et al.
Journal of Agrometeorology
Agricultural risk and resilience
article

Assessing and mapping the vulnerability index of Bangladesh to natural and climate-induced disasters: A spatial analysis at the subdistrict level

naznine Khanum, Urmee Ahsan, Farhana Hoque, Md. Mafizur Rahman, Md Mizanur Rahman, M. Abdul Aziz, Tanvir Moin, M. F. Imam, SABUJ ROY, Muhammad Rahman
article en

Abstract

This study assesses and maps the vulnerability index of Bangladesh at the subdistrict level to a range of natural and climate-induced disasters. Four vulnerability index maps are created using principal component analysis and categorized into five risk levels: (1) no/very low risk, (2) low risk, (3) moderate risk, (4) high risk and (5) very high risk for each sub-district. The results reveal that the south east region is highly vulnerable to cyclones, Haor region stands out as the most vulnerable area for flash floods, with numerous subdistricts facing very high to high risk levels; northern and north-eastern regions are prone to cold waves, while the western part of Bangladesh is highly vulnerable to heat waves. This comprehensive spatial analysis provides critical information for disaster risk reduction and adaptation strategies, assisting decision-makers in identifying the most vulnerable areas and prioritizing interventions. The findings of this study might be useful for policymakers as well as planners.

Journal of AgrometeorologyVol. 26(4)
Bangladesh University of Engineering and Technology (BD)
Climate action
Openalex Percentile: Top 71%
Agricultural risk and resilience
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Assessing and mapping the vulnerability index of Bangladesh to natural and climate-induced disasters: A spatial analysis at the subdistrict level — naznine Khanum, Urmee Ahsan, et al. · Journal of Agrometeorology (2024) | TGRS Research Map | TGRS