Risk assessment and hierarchical risk management of enterprises in chemical industrial parks based on catastrophe theory.
Risk assessment and hierarchical risk management of enterprises in chemical industrial parks based on catastrophe theory.
复制标题
基于突变理论的化工园区企业风险评估及分级风险管理
DOI：
10.3390/ijerph9124386
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发表时间：
2012-12-03
影响因子：
--
通讯作者：
Liu Z
中科院分区：
文献类型：
--
作者：
Chen Y;Song G;Yang F;Zhang S;Zhang Y;Liu Z
根据风险系统理论，结合化工行业的特点，从风险源的固有性、防控机制的有效性、受体的脆弱性三个方面，建立了化工园区企业风险评估的指标体系。在此基础上，提出了基于突变理论的综合风险评价方法，并对松木岛国际化工园区10家主要化工企业的风险水平进行了分析。根据等分布函数原理，将化工企业风险等级分为以下5个等级：1.0（非常安全）、0.8（安全）、0.6（一般公认安全，GRAS）、0.4（不安全）、0.2（非常不安全）。结果显示，有5家企业（50%）处于不安全风险水平，另有5家企业（50%）处于公认的安全风险水平。该方法解决了多目标评价和决策问题。该方法计算简单，为cip企业的风险评估和分层风险管理提供了有效的技术手段。
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.
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影响因子：
3.1
作者：
Xiong Ying;Zeng Guany-Ming;Huang Dao-You
通讯作者：
Huang Dao-You
影响因子：
3
作者：
ZEEMAN, EC
通讯作者：
ZEEMAN, EC
影响因子：
4.3
作者：
Cave, SR;Edwards, DW
通讯作者：
Edwards, DW
影响因子：
7.8
作者：
Shah, S;Fischer, U;Hungerbühler, K
通讯作者：
Hungerbühler, K
DOI：
10.1007/s00477-011-0457-9
发表时间：
2011-08-01
影响因子：
4.2
作者：
Su, Shiliang;Li, Dan;Wu, Jiaping
通讯作者：
Wu, Jiaping