{"title":"Climate Vulnerability Index of the Coastal Subdistricts of Badin, Sindh, Pakistan","authors":"Noor Fatima, Aamir Alamgir, M. Khan, M. Owais","doi":"10.48129/kjs.17873","DOIUrl":null,"url":null,"abstract":"The frequent occurrence of climate related events and changes in average temperature, are predicted to increase the vulnerability of the coastal population of Sindh. A climate vulnerability index (CVI) was established and applied to the coastal subdistricts of Badin, Sindh, Pakistan. This study aimed to recognize the vulnerabilities of the coastal population of Sindh exposed to climate change. According to the study, the subdistricts of Badin have been exposed to high temperatures and significant climatic tragedies during the last two decades. The highest vulnerability to climate variability was found in Tando Bago (0.72) and Badin (0.70). Matli is better off in adaptive capacity through socio-demographic (0.29). The vulnerability to resource dependency and knowledge and skill was low in the sub-district of Talhar. In terms of sensitivity, Tando Bago is the most sensitive subdistrict in terms of health (0.55) and resource variability (0.80). The study raises concerns related to coastal communities and their aptitude to address present and upcoming challenges connected with climate change and increased insecurity. The CVI calculated (0.59) can be utilized to improve adaptive capacity, minimize sensitivity, and mitigate exposure to climatic extremes in adaptation planning.","PeriodicalId":49933,"journal":{"name":"Kuwait Journal of Science & Engineering","volume":"145 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Kuwait Journal of Science & Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.48129/kjs.17873","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The frequent occurrence of climate related events and changes in average temperature, are predicted to increase the vulnerability of the coastal population of Sindh. A climate vulnerability index (CVI) was established and applied to the coastal subdistricts of Badin, Sindh, Pakistan. This study aimed to recognize the vulnerabilities of the coastal population of Sindh exposed to climate change. According to the study, the subdistricts of Badin have been exposed to high temperatures and significant climatic tragedies during the last two decades. The highest vulnerability to climate variability was found in Tando Bago (0.72) and Badin (0.70). Matli is better off in adaptive capacity through socio-demographic (0.29). The vulnerability to resource dependency and knowledge and skill was low in the sub-district of Talhar. In terms of sensitivity, Tando Bago is the most sensitive subdistrict in terms of health (0.55) and resource variability (0.80). The study raises concerns related to coastal communities and their aptitude to address present and upcoming challenges connected with climate change and increased insecurity. The CVI calculated (0.59) can be utilized to improve adaptive capacity, minimize sensitivity, and mitigate exposure to climatic extremes in adaptation planning.