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当前位置: 首页 > 文章 > A comparative analysis of environmental quality assessment methods for heavy metal-contaminated soils 土壤圈(英文版) 2008,18 (3)
Position: Home > Articles > A comparative analysis of environmental quality assessment methods for heavy metal-contaminated soils Pedosphere 2008,18 (3)

A comparative analysis of environmental quality assessment methods for heavy metal-contaminated soils

作  者：
Weixin Li;Xuxiang Zhang;Bing Wu;Shi-Lei Sun;Yansong Chen;Wen-Yang Pan;Dayong Zhao;Shengfeng Chen
单  位：
Department of Biology, Anhui Institute of Education, Hefei 230061 (China);State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210093 (China;State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210093 (China);Nanjing Institute of Environmental Sciences, State Environmental Protection Administration, Nanjing 210042 (China); State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210093 (China)
关键词：
iii;factor;environmental quality;soils;single;index metho
摘  要：
Four assessment methods (two pollution indexes and two fuzzy mathematical models) were employed to investigate the environmental quality of four soils around a ferroalloy plant in Nanjing City. Environmental quality was assessed as class IV (moderately polluted) for each soil with single-factor index method, and was identified to be classes IV, III (slightly polluted), III, and III for soils A, B, C, and D, respectively, with the comprehensive index model. In comparison with the single-factor index method, the comprehensive index model concerned both dominant parameter and average contribution of all factors to the integrated environmental quality. Using the two fuzzy mathematical methods (single-factor deciding and weighted average models), the environmental risks were determined to be classes IV, III, II (clean), and II for soils A, B, C, and D, respectively. However, divergence of the membership degree to each pollution class still occurred between the two methods. In fuzzy mathematical methods, membership functions were used to describe the limits between different pollution degrees, and different weights were allocated for the factors according to pollution contribution. Introduction of membership degree and weight of each factor to fuzzy mathematical models made the methods more reasonable in the field of environmental risk assessment.

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