Risk Assessment and Ranking of Metals Using FDAHP and TOPSIS

被引：2

作者：

Hayaty, M. ^{[1
]}

Mohammadi, M. R. Tavakoli ^{[2
]}

Rezaei, A. ^{[3
]}

Shayestehfar, M. R. ^{[4
]}

机构：

[1] Shahrood Univ Technol, Dept Min Engn, Mine Exploitat Grp, Semnan, Iran

[2] Tarbiat Modares Univ, Dept Min Engn, Mineral Proc Grp, Tehran 14115143, Iran

[3] Amirkabir Univ Technol, Dept Min Engn, Mine Explorat Grp, Tehran, Iran

[4] Shahid Bahonar Kerman Univ, Dept Min Engn, Mine Explorat Grp, Kerman, Iran

来源：

MINE WATER AND THE ENVIRONMENT | 2014年 / 33卷 / 02期

关键词：

Contamination factor (CF); Pollution load index (PLI); Geoaccumulation index (I-geo); HEAVY-METALS; COASTAL SEDIMENTS; CONTAMINATION; ACCUMULATION; ENRICHMENT; POLLUTION; SURFACE; BAY; ZN; CD;

D O I：

10.1007/s10230-014-0263-y

中图分类号：

TV21 [水资源调查与水利规划];

学科分类号：

081501 ;

摘要：

The sediment of the Sarcheshmeh copper mine in Iran contains high concentrations of trace metals. In this risk assessment study, criteria such as contamination factor, pollution load index, and geoaccumulation index were used to assess levels of Co, Cu, Mo, Zn, Cr, Mn, Ni, Pb, Ti, and Fe in the mine sediment released to the tailings dam. Expert opinions on the relative importance of each of the indicators were used to assign a final weighting of the criteria using the fuzzy Delphi analytic hierarchy process, and the metals in the sediments of the study area were ranked and clustered using the TOPSIS method. Based on the results, the metals were clustered into 10 categories with copper, iron, and zinc having the highest pollution and critical risk.

引用

页码：157 / 164

页数：8

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