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Open AccessArticle

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

Key Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China
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Int. J. Environ. Res. Public Health 2012, 9(12), 4386-4402; https://doi.org/10.3390/ijerph9124386
Received: 19 October 2012 / Revised: 13 November 2012 / Accepted: 27 November 2012 / Published: 3 December 2012
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. View Full-Text
Keywords: risk assessment and management; catastrophe theory; chemical enterprises; index system risk assessment and management; catastrophe theory; chemical enterprises; index system
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Chen, Y.; Song, G.; Yang, F.; Zhang, S.; Zhang, Y.; Liu, Z. Risk Assessment and Hierarchical Risk Management of Enterprises in Chemical Industrial Parks Based on Catastrophe Theory. Int. J. Environ. Res. Public Health 2012, 9, 4386-4402.

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