Integrated socio-environmental vulnerability assessment of coastal hazards using data-driven and multi-criteria analysis approaches

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dc.contributor.authorTanim, Ahad Hasan
dc.contributor.authorGoharian, Erfan
dc.contributor.authorMoradkhani, Hamid
dc.contributor.otherUniversity of South Carolina Columbia
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.date.accessioned2023-09-28T19:28:53Z
dc.date.available2023-09-28T19:28:53Z
dc.date.issued2022
dc.description.abstractCoastal hazard vulnerability assessment has been centered around the multi-variate analysis of geo-physical and hydroclimate data. The representation of coupled socio-environmental factors has often been ignored in vulnerability assessment. This study develops an integrated socio-environmental Coastal Vulnerability Index (CVI), which simultaneously combines information from five vulnerability groups: biophysical, hydroclimate, socio-economic, ecological, and shoreline. Using the Multi-Criteria Decision Making (MCDM) approach, two CVI (CVI-50 and CVI-90) have been developed based on average and extreme conditions of the factors. Each CVI is then compared to a data-driven CVI, which is formed based on Probabilistic Principal Component Analysis (PPCA). Both MCDM and PPCA have been tied into geospatial analysis to assess the natural hazard vulnerability of six coastal counties in South Carolina. Despite traditional MCDM-based vulnerability assessments, where the final index is estimated based on subjective weighting methods or equal weights, this study employs an entropy weighting technique to reduce the individuals' biases in weight assignment. Considering the multivariate nature of the coastal vulnerability, the validation results show both CVI-90 and PPCA preserve the vulnerability results from biophysical and socio-economic factors reasonably, while the CVI-50 methods underestimate the biophysical vulnerability of coastal hazards. Sensitivity analysis of CVIs shows that Charleston County is more sensitive to socio-economic factors, whereas in Horry County the physical factors contribute to a higher degree of vulnerability. Findings from this study suggest that the PPCA technique facilitates the high-dimensional vulnerability assessment, while the MCDM approach accounts more for decision-makers' opinions.en_US
dc.format.mediumelectronic
dc.format.mimetypeapplication/pdf
dc.identifier.citationTanim, A. H., Goharian, E., & Moradkhani, H. (2022). Integrated socio-environmental vulnerability assessment of coastal hazards using data-driven and multi-criteria analysis approaches. In Scientific Reports (Vol. 12, Issue 1). Springer Science and Business Media LLC. https://doi.org/10.1038/s41598-022-15237-z
dc.identifier.doi10.1038/s41598-022-15237-z
dc.identifier.orcidhttps://orcid.org/0000-0002-2889-999X
dc.identifier.orcidhttps://orcid.org/0000-0002-3987-1431
dc.identifier.urihttps://ir.ua.edu/handle/123456789/11315
dc.languageEnglish
dc.language.isoen_US
dc.publisherNature Portfolio
dc.rights.licenseAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectSEA-LEVEL RISE
dc.subjectSPATIAL PREDICTION
dc.subjectSOUTH-CAROLINA
dc.subjectCHARLESTON
dc.subjectIMPACTS
dc.subjectINDEX
dc.subjectMultidisciplinary Sciences
dc.titleIntegrated socio-environmental vulnerability assessment of coastal hazards using data-driven and multi-criteria analysis approachesen_US
dc.typeArticle
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