Oil spills characteristics, detection, and recovery methods: A systematic risk-based view-Reference-Cited by-同舟云学术

Oil spills characteristics, detection, and recovery methods: A systematic risk-based view

Published:2022-12 Issue: Volume:80 Page:104912
ISSN:0950-4230
Container-title:Journal of Loss Prevention in the Process Industries
language:en
Short-container-title:Journal of Loss Prevention in the Process Industries

Author:

Negreiros Ana Cláudia Souza Vidal de,Lins Isis Didier^ORCID,Maior Caio Bezerra Souto,Moura Márcio José das Chagas

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

National Council for Scientific and Technological Development

Fundacao de Amparo a Ciencia e Tecnologia do Estado de Pernambuco

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Energy Engineering and Power Technology,Safety, Risk, Reliability and Quality,General Chemical Engineering,Food Science,Control and Systems Engineering

Reference102 articles.

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4. Sensors, features, and machine learning for oil spill detection and monitoring: a review;Al-Ruzouq;Rem. Sens.,2020

5. ‘Evaluation of the impacts of oil spill disaster on communities and its influence on restiveness in Niger delta, Nigeria’;Albert,2018

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