{"title":"Combing LCIA and Fuzzy Risk Assessment for Environmental Impact Assessment","authors":"Kevin Fong-Rey Liu, Cheng-Wu Chen, Ken Yeh, Han-Hsi Liang","volume":65,"journal":"International Journal of Humanities and Social Sciences","pagesStart":931,"pagesEnd":936,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/1664","abstract":"<p>Environmental impact assessment (EIA) is a procedure tool of environmental management for identifying, predicting, evaluating and mitigating the adverse effects of development proposals. EIA reports usually analyze how the amounts or concentrations of pollutants obey the relevant standards. Actually, many analytical tools can deepen the analysis of environmental impacts in EIA reports, such as life cycle assessment (LCA) and environmental risk assessment (ERA). Life cycle impact assessment (LCIA) is one of steps in LCA to introduce the causal relationships among environmental hazards and damage. Incorporating the LCIA concept into ERA as an integrated tool for EIA can extend the focus of the regulatory compliance of environmental impacts to determine of the significance of environmental impacts. Sometimes, when using integrated tools, it is necessary to consider fuzzy situations due to insufficient information; therefore, ERA should be generalized to fuzzy risk assessment (FRA). Finally, the use of the proposed methodology is demonstrated through the study case of the expansion plan of the world-s largest plastics processing factory.<\/p>\r\n","references":"[1] DEFRA, 2002. Guidelines for Environmental Risk Assessment and\r\nManagement.\r\n(http:\/\/www.defra.gov.uk\/Environment\/risk\/eramguide\/index.htm).\r\n[2] Zadeh LA, 1996. Fuzzy logic=computing with words. IEEE Transactions\r\non Fuzzy Systems 4 (1): 103-111.\r\n[3] Dong W, Shah HC, 1987. Vertex method for computing functions of\r\nfuzzy variables. Fuzzy Sets and Systems 24(1): 65-78.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 65, 2012"}