A Fuzzy-based Methodology for an Aggregative Environmental Risk Assessment of Restored Soil

作     者：WANG Shi-Zhong ZHAO Zhi-Hao XIA Bing QIU Hao J.L.MOREL QIU Rong-Liang 

作者机构：School of Environmental Science and EngineeringSun Yat-sen University Guangdong Provincial Key Lab of Environmental Pollution Control and Remediation Technology Laboratoire Sols et EnvironnementUMR 1120 ENSAIA-INPL/INRA 

出 版 物：《Pedosphere》 (土壤圈（英文版）)

年 卷 期：2014年第24卷第2期

页      面：220-231页

核心收录：

学科分类：12[管理学] 1204[管理学-公共管理] 082803[工学-农业生物环境与能源工程] 08[工学] 0828[工学-农业工程] 09[农学] 0903[农学-农业资源与环境] 120405[管理学-土地资源管理] 

基　　金：Supported by the National Natural Science Foundation of China(Nos.41171374 and 41101483) the Fundamental Research Funds for the Central Universities of China(No.101gzd10) the National Science Foundation for Distinguished Young Scholars of China(No.41225004) the National High Technology Research and Development Program of China(No.2012-AA-06A202) 

主　　题：fuzzy set theory heavy metals remediated risk assessment weight distribution 

摘      要：Environmental risks pertaining to contaminated soils have been well studied,while little attention has been paid to the risks of the soils after remediation. In this study,a concept model developed based on fuzzy set theory was applied to evaluate the uncertainties of three risk indicators,namely,plant growth,groundwater safety and human health,of a restored site that had been previously polluted by heavy metals. The concept model classified the grade and importance of risk factors by an 11-level ranking system and was able to yield a comprehensive risk result rather than multi-risk results for complex risk indicators. Modeling results showed that the risks to the three indicators were effectively reduced after the remediation. Moreover,great sensitivity of the risks was found related to the weight distribution among the three risk indicators. In general,the risks of both polluted and restored soils to the environment were in the order of groundwater safety plant growth human health. The model was proved to solve the problems of multi-risk results due to complex risk indicators that previously encountered by other researchers,which made it helpful in decision-making and management of restored soils.