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

被引:56
作者
Li Wei-Xin [1 ,2 ]
Zhang Xu-Xiang [1 ,2 ]
Wu Bing [1 ]
Sun Shi-Lei [1 ]
Chen Yan-Song [3 ]
Pan Wen-Yang [1 ]
Zhao Da-Yong [1 ]
Cheng Shu-Pei [1 ]
机构
[1] Nanjing Univ, State Key Lab Pollut Control & Resource Reuse, Sch Environm, Nanjing 210093, Peoples R China
[2] State Environm Protect Adm, Nanjing Inst Environm Sci, Nanjing 210042, Peoples R China
[3] Anhui Inst Educ, Dept Biol, Hefei 230061, Peoples R China
关键词
environmental assessment; fuzzy mathematical model; heavy metal pollution; pollution index method; soil;
D O I
10.1016/S1002-0160(08)60024-7
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
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.
引用
收藏
页码:344 / 352
页数:9
相关论文
共 22 条
[1]  
[Anonymous], 1996, METHOD 3050B ACID DI
[2]   Comparison of models of simazine transport and fate in the subsurface environment in a citrus farm [J].
Chang, Ni-Bin ;
Sirilakshmi, K. R. ;
Parvathinathan, G. .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2008, 86 (01) :27-43
[3]   Assessment of heavy metal pollution in surface soils of urban parks in Beijing, China [J].
Chen, TB ;
Zheng, YM ;
Lei, M ;
Huang, ZC ;
Wu, HT ;
Chen, H ;
Fan, KK ;
Yu, K ;
Wu, X ;
Tian, QZ .
CHEMOSPHERE, 2005, 60 (04) :542-551
[4]  
Cheng SP, 2003, ENVIRON SCI POLLUT R, V10, P192, DOI 10.1065/espr2002.11.141.1
[5]   Fuzzy environmental decision-making: applications to air pollution [J].
Fisher, B .
ATMOSPHERIC ENVIRONMENT, 2003, 37 (14) :1865-1877
[6]   Fuzzy outranking for environmental assessment. Case study: iron and steel making industry [J].
Geldermann, J ;
Spengler, T ;
Rentz, O .
FUZZY SETS AND SYSTEMS, 2000, 115 (01) :45-65
[7]  
He Tan, 2007, Asian Journal of Ecotoxicology, V2, P470
[8]   Ecological risk assessment of contaminated soil [J].
Jensen, J ;
Pedersen, MB .
REVIEWS OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY, VOL 186, 2006, 186 :73-105
[9]   A fuzzy-set approach for addressing uncertainties in risk assessment of hydrocarbon-contaminated site [J].
Li, JB ;
Liu, L ;
Huang, GH ;
Zeng, GM .
WATER AIR AND SOIL POLLUTION, 2006, 171 (1-4) :5-18
[10]   Effects of land use on concentrations of metals in surface soils and ecological risk around Guanting Reservoir, China [J].
Luo, Wei ;
Lu, Yonglong ;
Giesy, John P. ;
Wang, Tieyu ;
Shi, Yajuan ;
Wang, Guang ;
Xing, Ying .
ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2007, 29 (06) :459-471