Environmental sensitivity index maps to manage oil spill risks: A review and perspectives

dc.contributor.authorD'Affonseca, Fernando Mazo
dc.contributor.authorVieira Reis, Fábio Augusto Gomes [UNESP]
dc.contributor.authorCorrêa, Claudia Vanessa dos Santos [UNESP]
dc.contributor.authorWieczorek, Arthur [UNESP]
dc.contributor.authorGiordano, Lucilia do Carmo [UNESP]
dc.contributor.authorMarques, Mara Lúcia [UNESP]
dc.contributor.authorRodrigues, Flávio Henrique [UNESP]
dc.contributor.authorCosta, Daiana Marques [UNESP]
dc.contributor.authorKolya, André de Andrade [UNESP]
dc.contributor.authorVeiga, Vinicius Mendes [UNESP]
dc.contributor.authorSantos, Sarah Félix [UNESP]
dc.contributor.authorMagalhães, Laila Milani [UNESP]
dc.contributor.authorGatto, Isadora Torres [UNESP]
dc.contributor.authorRiedel, Paulina Setti [UNESP]
dc.contributor.institutionFMD Geologia Aplicada
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2023-07-29T13:48:31Z
dc.date.available2023-07-29T13:48:31Z
dc.date.issued2023-05-15
dc.description.abstractEnvironmental sensitivity index (ESI) maps and data are employed worldwide to prepare contingency planning and responses for oil spills. The ESI approach has been successfully applied for various marine and continental shorelines, terrestrial pipelines, and roads. Originally, ESI maps were configured as printed cartographic products. With the incorporation of geographic information systems (GIS), ESI maps gained a digital perspective, allowing static correlations between biological and socioeconomic parameters through various operations and methods. Recently, ESI and simulation approaches have been combined to develop quantitative risk assessments, and artificial intelligence and deep learning algorithms support integrated classifications of sensitivity indices. Although challenging, valuations and vulnerability aspects, such as seasonal and multidimensional approaches, should be considered in ESI maps, as well as the integration of monitoring, detection, decision, and response systems. By incorporating dynamic systems into the approach, ESI maps become a social and environmental sensitivity system (SESS). This paper aims to provide a comprehensive review of the development of the ESI concept and to identify and propose future directions.en
dc.description.affiliationFMD Geologia Aplicada, São Carlosm SP
dc.description.affiliationInstitute of Geosciences and Exact Sciences (IGCE) Center for Applied Petroleum Geosciences (UNESPetro) São Paulo State University (UNESP), SP
dc.description.affiliationUnespInstitute of Geosciences and Exact Sciences (IGCE) Center for Applied Petroleum Geosciences (UNESPetro) São Paulo State University (UNESP), SP
dc.description.sponsorshipAgência Nacional do Petróleo, Gás Natural e Biocombustíveis
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipUniversidade Estadual Paulista
dc.description.sponsorshipPetrobras
dc.identifierhttp://dx.doi.org/10.1016/j.ocecoaman.2023.106590
dc.identifier.citationOcean and Coastal Management, v. 239.
dc.identifier.doi10.1016/j.ocecoaman.2023.106590
dc.identifier.issn0964-5691
dc.identifier.scopus2-s2.0-85151305348
dc.identifier.urihttp://hdl.handle.net/11449/248601
dc.language.isoeng
dc.relation.ispartofOcean and Coastal Management
dc.sourceScopus
dc.subjectEnvironmental sensitivity index (ESI) maps
dc.subjectOil spill
dc.subjectSocial and environmental sensitivity system (SESS)
dc.subjectVulnerability analysis
dc.titleEnvironmental sensitivity index maps to manage oil spill risks: A review and perspectivesen
dc.typeResenha
unesp.author.orcid0000-0003-2524-8443[3]

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