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Assessing coastal vulnerability at the village level using a robust framework, the example of Canacona in South Goa, India

2024-04-19Artigo científico Acesso aberto
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dc.contributor.authorNigam, Ritwik
dc.contributor.authorLuis, Alvarinho J.
dc.contributor.authorGagnon, Alexandre S.
dc.contributor.authorVaz, Eric
dc.contributor.authorDamásio, Bruno
dc.contributor.authorKotha, Mahender
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.pblElsevier
dc.date.accessioned2024-04-05T00:03:29Z
dc.date.available2024-04-05T00:03:29Z
dc.date.issued2024-04-19
dc.descriptionNigam, R., Luis, A. J., Gagnon, A. S., Vaz, E., Damásio, B., & Kotha, M. (2024). Assessing coastal vulnerability at the village level using a robust framework, the example of Canacona in South Goa, India. ISCIENCE, Article 109129. https://doi.org/10.1016/j.isci.2024.109129 --- The first author Mr. Ritwik Nigam, a Ph.D student acknowledges the financial support provided by the University Grant Commission (UGC), Govt. of India, New Delhi, to conduct this research. The authors also thank all the administrative authorities of their respective institutions for their support during field surveys. Bruno Damásio acknowledges the financial support provided by Fundac̨ão para a Ciência e a Tecnologia, Portugal (FCT) under the project UIDB/04152/2020 Centro de Investigação em Gestão de Informação (MagIC).
dc.description.abstractClimate change poses a significant threat to coastal regions worldwide. This study presents and applies a modified CVI to assess coastal vulnerability at the village level, focusing on Canacona, a taluka in South Goa, India. It adapts the existing CVI methodology by incorporating additional variables to represent the various dimensions of vulnerability better, resulting in 21 variables split into a Physical Vulnerability Index (PVI) and a Social Vulnerability Index (SoVI). The results show spatial variability in coastal vulnerability across the studied villages, with Agonda and Nagercem-Chaudi found to be highly vulnerable and Loliem to be the least vulnerable. A hydrological modeling approach is also used to compare the CVI of every village with their susceptibility to inundation due to rising sea levels. The result demonstrates the influence of local factors on vulnerability, challenging previous taluka-level assessments given the typical scale upon which adaptation typically takes place.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent20
dc.format.extent5295051
dc.identifier.doi10.1016/j.isci.2024.109129
dc.identifier.issn2589-0042
dc.identifier.otherPURE: 83467575
dc.identifier.otherPURE UUID: 2c043af7-fde2-4ff1-9c9f-31a70b3627c8
dc.identifier.otherScopus: 85189656687
dc.identifier.otherWOS: 001216502200001
dc.identifier.otherPubMed: 38595800
dc.identifier.otherPubMedCentral: PMC11002649
dc.identifier.urihttp://hdl.handle.net/10362/165825
dc.identifier.urlhttps://www.scopus.com/pages/publications/85189656687
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:001216502200001
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT
dc.relationInformation Management Research Center
dc.subjectCanacona taluka
dc.subjectCoastal Vulnerability Assessment
dc.subjectGeospatial techniques
dc.subjectPhysical and Geological variables
dc.subjectSocial vulnerability
dc.subjectVillage scale
dc.subjectGlobal change
dc.subjectHazard identification
dc.subjectRemote sensing
dc.subjectGeneral
dc.subjectSDG 13 - Climate Action
dc.titleAssessing coastal vulnerability at the village level using a robust framework, the example of Canacona in South Goa, Indiaen
dc.typejournal article
degois.publication.firstPage1
degois.publication.issue4
degois.publication.lastPage19
degois.publication.titleISCIENCE
degois.publication.volume27
dspace.entity.typePublication
oaire.awardNumberUIDB/04152/2020
oaire.awardTitleInformation Management Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT
oaire.fundingStream6817 - DCRRNI ID
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublication3274bdb3-4dd3-4bbe-8f74-d34190081f87
relation.isProjectOfPublication.latestForDiscovery3274bdb3-4dd3-4bbe-8f74-d34190081f87

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