Assessing and mapping the vulnerability index of Bangladesh to natural and climate-induced disasters: A spatial analysis at the subdistrict level
DOI:
https://doi.org/10.54386/jam.v26i4.2710Keywords:
Vulnerability index, Climate change, Natural disasters, Principal component analysis, Heat wave, Flash floodAbstract
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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Copyright (c) 2024 MD. HASAN IMAM, URMEE AHSAN, FARHANA HOQUE, SABUJ ROY, NAZNINE KHANUM, MUHAMMAD MOSHIUR RAHMAN, MAZHARUL AZIZ, MD. MIZANUR RAHMAN, TANVIR SIDDIKE MOIN, MD. MAFIZUR RAHMAN
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