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Cyclone vulnerability assessment of the western coast of Bangladesh

Hoque, MAA; Pradhan, B; Ahmed, N; Ahmed, B; Alamri, AM; (2021) Cyclone vulnerability assessment of the western coast of Bangladesh. Geomatics, Natural Hazards and Risk , 12 (1) pp. 198-221. 10.1080/19475705.2020.1867652. Green open access

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Abstract

© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. Coastal Bangladesh is one of the hotspots of tropical cyclone’s landfall in South Asia. A spatial vulnerability assessment is required to formulate disaster risk reduction strategies. This study develops a comprehensive tropical cyclone vulnerability mapping approach by applying Fuzzy Analytical Hierarchy Process (FAHP) and geospatial techniques and examines the spatial distribution of tropical cyclone vulnerability in the western coastal region of Bangladesh. We have selected 18 spatial criteria under the physical, social, and mitigation capacity categories as the components of vulnerability. Results indicate that the southern and south-eastern peripheral areas exhibit higher vulnerability to tropical cyclones since these areas comprise low elevation, gentle slope, closeness to the sea, a high number of historical cyclone tracks, vulnerable land cover classes (settlements and crops land), and poor socio-economic structures. These areas cover most of the Barguna, Khulna, Bagerhat, Jhalokati, and southern parts of Satkhira, and Pirojpur districts. The existing mitigation capacity measures, for example, the construction of cyclone shelters, embankments, road networks, and effective warning systems in these areas are not adequate levels. The findings would be useful for policymakers and local authorities in formulating appropriate cyclone risk mitigation plans in coastal Bangladesh.

Type: Article
Title: Cyclone vulnerability assessment of the western coast of Bangladesh
Open access status: An open access version is available from UCL Discovery
DOI: 10.1080/19475705.2020.1867652
Publisher version: https://doi.org/10.1080/19475705.2020.1867652
Language: English
Additional information: © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/ licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Cyclone; vulnerability; fuzzy logic; AHP; GIS; remote sensing; Bangladesh
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Inst for Risk and Disaster Reduction
URI: https://discovery.ucl.ac.uk/id/eprint/10119402
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