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BIBTEX RIS

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

2023; Elsevier BV; Volume: 239; Linguagem: Inglês

10.1016/j.ocecoaman.2023.106590

1873-524X

Fernando Mazo D’Affonseca, Fábio Augusto Gomes Vieira Reis, Claudia Vanessa dos Santos Corrêa, Arthur Wieczorek, Lucília do Carmo Giordano, Mara Lúcia Marques, Flávio Henrique Rodrigues, Daiana Marques Costa, André de Andrade Kolya, Vinícius Mendes Veiga, Sarah Félix Santos, Laila Milani Magalhães, Isadora Torres Gatto, Paulina Setti Riedel,

Ocean Acidification Effects and Responses

Environmental 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.