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A Risk Evaluation Method of Coastal Oil Depots for Heavy Rainfall Vulnerability Assessment

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  • Jian Guo

    (National-Local Joint Engineering Laboratory of Harbor Oil & Gas Storage and Transportation Technology, Zhejiang Provincial Key Laboratory of Petrochemical Pollution Control, School of Petrochemical Engineering and Environment, Zhejiang Ocean University, Zhoushan 316022, China)

  • Jun Wang

    (School of Shipping and Maritime, Zhejiang Ocean University, Zhoushan 316022, China)

  • Baikang Zhu

    (National-Local Joint Engineering Laboratory of Harbor Oil & Gas Storage and Transportation Technology, Zhejiang Provincial Key Laboratory of Petrochemical Pollution Control, School of Petrochemical Engineering and Environment, Zhejiang Ocean University, Zhoushan 316022, China)

  • Bingyuan Hong

    (National-Local Joint Engineering Laboratory of Harbor Oil & Gas Storage and Transportation Technology, Zhejiang Provincial Key Laboratory of Petrochemical Pollution Control, School of Petrochemical Engineering and Environment, Zhejiang Ocean University, Zhoushan 316022, China)

  • Cuicui Li

    (National-Local Joint Engineering Laboratory of Harbor Oil & Gas Storage and Transportation Technology, Zhejiang Provincial Key Laboratory of Petrochemical Pollution Control, School of Petrochemical Engineering and Environment, Zhejiang Ocean University, Zhoushan 316022, China)

  • Jianhui He

    (ENN (Zhoushan) LNG Co., Ltd., Zhoushan 316022, China)

Abstract

Oil depots in the coastal areas of China are prone to disasters caused by heavy rain due to the monsoon climate. Studies focusing on heavy rainfall vulnerability in coastal oil depots are limited. Therefore, we evaluated the safety of oil depots based on four factors in this study: personnel, equipment and facility, environment, and resilience. Complex networks, analytic hierarchy processes, and information entropy theory were used to establish an evaluation index system including four first-level indicators, nine second-level indicators, and 40 third-level indicators. Scores of 40 evaluation indicators were taken as the input, a vulnerability level of oil depots affected by heavy rain was gained as the output, and results were presented visually (different warning levels distinguished by color) to help oil depot enterprises improve their safety performance under extreme weather conditions.

Suggested Citation

  • Jian Guo & Jun Wang & Baikang Zhu & Bingyuan Hong & Cuicui Li & Jianhui He, 2022. "A Risk Evaluation Method of Coastal Oil Depots for Heavy Rainfall Vulnerability Assessment," Sustainability, MDPI, vol. 14(11), pages 1-12, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6902-:d:832199
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    References listed on IDEAS

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    1. Bingang Guo & Jianfeng Gao & Bin Hao & Bingjian Ai & Bingyuan Hong & Xinsheng Jiang, 2022. "Experimental and Numerical Study on the Explosion Dynamics of the Non-Uniform Liquefied Petroleum Gas and Air Mixture in a Channel with Mixed Obstacles," Energies, MDPI, vol. 15(21), pages 1-16, October.

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