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Cyclone exposure mapping in coastal Bangladesh: A multi-criteria decision analysis
Owing to its geographical location, Bangladesh is highly exposed to natural disasters: the northern part is at risk of floods, while the southern part suffers from cyclones, storm surges, and salinity intrusion. This study aims to quantify the exposure to cyclones in Taltali, a southern coastal upaz...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622688/ https://www.ncbi.nlm.nih.gov/pubmed/37928379 http://dx.doi.org/10.1016/j.heliyon.2023.e21259 |
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author | Islam Arif, Md Saidul Mahdi, Ibnul Rafi, Md Adil Khan, Saadmaan Jubayer Rahman, Md Mostafizur |
author_facet | Islam Arif, Md Saidul Mahdi, Ibnul Rafi, Md Adil Khan, Saadmaan Jubayer Rahman, Md Mostafizur |
author_sort | Islam Arif, Md Saidul |
collection | PubMed |
description | Owing to its geographical location, Bangladesh is highly exposed to natural disasters: the northern part is at risk of floods, while the southern part suffers from cyclones, storm surges, and salinity intrusion. This study aims to quantify the exposure to cyclones in Taltali, a southern coastal upazila of Bangladesh. To quantify the exposure, the study used 6 criteria, including elevation, slope, proximity to major water bodies, population density, proximity to cyclone tracks and land use and land cover, and produced maps focusing on each criterion. The overall exposure map was also created to observe the whole scenario of the upazila. All the analysis was done in a GIS environment using the Analytic Hierarchy Process (AHP) method. The individual criterion map represents the status of the study area in different classes. And the overall exposure map revealed that about 60 % of the study area was quantified as very highly exposed to cyclones, including 4 unions- Barabagi, Chhota Bagi, Karaibaria, Pancha Koralia and 6 Rakhain paras- Taltali, Monukhe, Momeshi, Agathakur, Saton, and Sawdagar. In numerical terms, about 8032 ha and 178 ha of land are counted as highly and moderately exposed to cyclones, respectively. Among the seven unions, the maximum area of the Barabagi and Chhota Bagi was found to be very highly exposed, followed by Panchakoralia and Karaibaria. Data from our previous study also validated the results of this study. Despite having some limitations, the study can be used to develop the capacity of the community to respond to cyclones. And the national and international communities can use the results to formulate policies regarding disaster risk reduction and risk mitigation. |
format | Online Article Text |
id | pubmed-10622688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-106226882023-11-04 Cyclone exposure mapping in coastal Bangladesh: A multi-criteria decision analysis Islam Arif, Md Saidul Mahdi, Ibnul Rafi, Md Adil Khan, Saadmaan Jubayer Rahman, Md Mostafizur Heliyon Research Article Owing to its geographical location, Bangladesh is highly exposed to natural disasters: the northern part is at risk of floods, while the southern part suffers from cyclones, storm surges, and salinity intrusion. This study aims to quantify the exposure to cyclones in Taltali, a southern coastal upazila of Bangladesh. To quantify the exposure, the study used 6 criteria, including elevation, slope, proximity to major water bodies, population density, proximity to cyclone tracks and land use and land cover, and produced maps focusing on each criterion. The overall exposure map was also created to observe the whole scenario of the upazila. All the analysis was done in a GIS environment using the Analytic Hierarchy Process (AHP) method. The individual criterion map represents the status of the study area in different classes. And the overall exposure map revealed that about 60 % of the study area was quantified as very highly exposed to cyclones, including 4 unions- Barabagi, Chhota Bagi, Karaibaria, Pancha Koralia and 6 Rakhain paras- Taltali, Monukhe, Momeshi, Agathakur, Saton, and Sawdagar. In numerical terms, about 8032 ha and 178 ha of land are counted as highly and moderately exposed to cyclones, respectively. Among the seven unions, the maximum area of the Barabagi and Chhota Bagi was found to be very highly exposed, followed by Panchakoralia and Karaibaria. Data from our previous study also validated the results of this study. Despite having some limitations, the study can be used to develop the capacity of the community to respond to cyclones. And the national and international communities can use the results to formulate policies regarding disaster risk reduction and risk mitigation. Elsevier 2023-10-19 /pmc/articles/PMC10622688/ /pubmed/37928379 http://dx.doi.org/10.1016/j.heliyon.2023.e21259 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Islam Arif, Md Saidul Mahdi, Ibnul Rafi, Md Adil Khan, Saadmaan Jubayer Rahman, Md Mostafizur Cyclone exposure mapping in coastal Bangladesh: A multi-criteria decision analysis |
title | Cyclone exposure mapping in coastal Bangladesh: A multi-criteria decision analysis |
title_full | Cyclone exposure mapping in coastal Bangladesh: A multi-criteria decision analysis |
title_fullStr | Cyclone exposure mapping in coastal Bangladesh: A multi-criteria decision analysis |
title_full_unstemmed | Cyclone exposure mapping in coastal Bangladesh: A multi-criteria decision analysis |
title_short | Cyclone exposure mapping in coastal Bangladesh: A multi-criteria decision analysis |
title_sort | cyclone exposure mapping in coastal bangladesh: a multi-criteria decision analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622688/ https://www.ncbi.nlm.nih.gov/pubmed/37928379 http://dx.doi.org/10.1016/j.heliyon.2023.e21259 |
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