Multi-Risk Source Oil Spill Risk Assessment Based on a Fuzzy Inference System

Yao Jiang, Xu Zhao, Yaochi Wang and Jinyu Wang
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Yao Jiang: College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China
Xu Zhao: College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China
Yaochi Wang: College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China
Jinyu Wang: College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China

Sustainability, 2022, vol. 14, issue 7, 1-22

Abstract: Oil is one of the most important sources of energy, about 25 percent of which comes from offshore sources. As a result, the transportation of oil tankers, and the construction of offshore oil platforms and subsea pipelines have increased, to facilitate offshore oil exploitation. However, most oil spill risk assessments analyze the impact of one risk source, and rarely consider multiple risk sources in the study area. This paper focuses on three risk sources that may cause oil spills in a certain area, and establishes an oil spill risk assessment model through a fuzzy inference system. Oil spill probabilities for different risk sources are calculated through the model. According to the definition of oil spill risk, the risk probability of multiple risk sources in the study area is obtained, which can provide technical support for regional oil spill emergency capacity and emergency resource allocation.

Keywords: oil spill; risk assessment; fuzzy inference system; multi-risk source (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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