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Methodology for Natech coupling risk assessment using correlative multi-criteria decision-making method
Institution:1. Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, China;2. Beijing Key Laboratory of Comprehensive Emergency Response Science, China;1. Department of Safety, Health and Environmental Engineering, National Kaohsiung University of Science and Technology, 1 University Road, Yanchao District, Kaohsiung, Taiwan, ROC;2. Occupational Safety and Health Administration, Ministry of Labor, 439 Zhongping Road, Xinzhuang District, New Taipei, Taiwan, ROC;1. Université de Toulouse, INSA, UPS, Mines d’Albi, ISAE, ICA (Institut Clément Ader), 135 Avenue de Rangueil, Cedex, 31077, Toulouse, France;2. Defence Technology Institute, 47/433 Moo 3, Ban Mai, Pak Kret, Nonthaburi, 11120, Thailand;3. Faculty of Engineering, Burapha University, 169 Long-Hard Bangsaen Road, Chonburi, 20131, Thailand;1. CAIMI Centro de Aplicaciones Informáticas y Modelado en Ingeniería, Universidad Tecnológica Nacional, Facultad Regional Rosario, Zeballos, 1346, S2000BQA, Rosario, Argentina;2. CONICET Consejo Nacional de Investigaciones Científicas y Técnicas, Blvd. 27 de Febrero 210 Bis, S2000EZP, Rosario, Argentina;1. School of Chemical Engineering, Anhui University of Science and Technology (AUST), 168, Taifeng St., Anhui, 232001, China;2. Department of Chemical and Materials Engineering, National Yunlin University Science and Technology (YunTech), 123, University Rd. Sec. 3, Douliou, 64002, Yunlin, Taiwan;3. School of Chemical Engineering, Dalian University of Technology, Dalian, Liaoning, 116024, China
Abstract:When a natural disaster occurs, it may damage multiple industrial facilities in a certain area at the same time, and the resulting Natech events may have an impact on the surrounding industrial facilities, generating coupling risk. In this study, the assessment of Natech events coupling risk is conducted using the method of correlated multi-criteria decision-making, and the knowledge of fuzzy measures is introduced to solve the uncertainty problem in Natech coupling risk. Natech Coupling Risk Index is constructed to involve physical and functional facilities. The concept of equivalent population is proposed to compare the risks generated by physical facilities and functional facilities. And economic indicators are added to calculate the comprehensive risk value. The purpose of this contribution is to enable local government managers to use their expertise and resources and the existing risk assessment of the plants themselves and rely on the scoring of experts limitedly to quickly and easily identify potential high Natech risk areas. In the calculation process of coupling risk, the government can also take the lead to promote information communication between different plants and other industrial subjects. The proposed method was applied in a realistic chemical industry area in Guangzhou, China and in a hypothetical town. The result shows that the physical risk may be transferred to the population and economy through the coupling between industrial facilities and the functional link between functional facilities and population and economy.
Keywords:Natech  Coupling risk  Multi-criteria decision-making  Fuzzy measure  Comprehensive risk assessment
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