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Risk Assessment and Hierarchical Risk Management of Enterprises in Chemical Industrial Parks Based on Catastrophe Theory

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  • Yu Chen

    (Key Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China)

  • Guobao Song

    (Key Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China)

  • Fenglin Yang

    (Key Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China)

  • Shushen Zhang

    (Key Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China)

  • Yun Zhang

    (Key Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China)

  • Zhenyu Liu

    (Key Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China)

Abstract

According to risk systems theory and the characteristics of the chemical industry, an index system was established for risk assessment of enterprises in chemical industrial parks (CIPs) based on the inherent risk of the source, effectiveness of the prevention and control mechanism, and vulnerability of the receptor. A comprehensive risk assessment method based on catastrophe theory was then proposed and used to analyze the risk levels of ten major chemical enterprises in the Songmu Island CIP, China. According to the principle of equal distribution function, the chemical enterprise risk level was divided into the following five levels: 1.0 (very safe), 0.8 (safe), 0.6 (generally recognized as safe, GRAS), 0.4 (unsafe), 0.2 (very unsafe). The results revealed five enterprises (50%) with an unsafe risk level, and another five enterprises (50%) at the generally recognized as safe risk level. This method solves the multi-objective evaluation and decision-making problem. Additionally, this method involves simple calculations and provides an effective technique for risk assessment and hierarchical risk management of enterprises in CIPs.

Suggested Citation

  • Yu Chen & Guobao Song & Fenglin Yang & Shushen Zhang & Yun Zhang & Zhenyu Liu, 2012. "Risk Assessment and Hierarchical Risk Management of Enterprises in Chemical Industrial Parks Based on Catastrophe Theory," IJERPH, MDPI, vol. 9(12), pages 1-17, December.
    • Handle: RePEc:gam:jijerp:v:9:y:2012:i:12:p:4386-4402:d:21903
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    References listed on IDEAS

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    1. Wang, Wenjun & Liu, Suling & Zhang, Shushen & Chen, Jingwen, 2011. "Assessment of a model of pollution disaster in near-shore coastal waters based on catastrophe theory," Ecological Modelling, Elsevier, vol. 222(2), pages 307-312.
    2. Ding, Jiansheng & Hua, Weiqi, 2012. "Featured chemical industrial parks in China: History, current status and outlook," Resources, Conservation & Recycling, Elsevier, vol. 63(C), pages 43-53.
    3. Ying, Xiong & Zeng, Guang-Ming & Chen, Gui-Qiu & Tang, Lin & Wang, Ke-Lin & Huang, Dao-You, 2007. "Combining AHP with GIS in synthetic evaluation of eco-environment quality—A case study of Hunan Province, China," Ecological Modelling, Elsevier, vol. 209(2), pages 97-109.
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    2. Xue Wan & Xiaoning Yang & Quaner Wen & Jun Gang & Lu Gan, 2020. "Sustainable Development of Industry–Environmental System Based on Resilience Perspective," IJERPH, MDPI, vol. 17(2), pages 1-23, January.

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