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

被引:7
作者
Jiang, Yao [1 ,2 ]
Zhao, Xu [1 ]
Wang, Yaochi [1 ]
Wang, Jinyu [1 ]
机构
[1] Dalian Maritime Univ, Coll Transportat Engn, Dalian 116026, Peoples R China
[2] China Acad Transportat Sci, Transportat Satety Res Ctr, Beijing 100029, Peoples R China
关键词
oil spill; risk assessment; fuzzy inference system; multi-risk source; PIPELINE; MODEL;
D O I
10.3390/su14074227
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:22
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