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Ecological risk assessment and source analysis of heavy-metal pollution in farmland soils surrounding the coal mine of East Junggar Basin,China |
Received:December 21, 2016 |
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KeyWord:entropy method;heavy metals;risk assessment;geostatistical analysis;multivariate statistical analysis |
Author Name | Affiliation | E-mail | LI Qiao | School of Chemistry and Chemical Engineering/Key Laboratory for Green Process of Chemical Engineering of Xinjiang Bingtuan, Shihezi University, Shihezi 832003, China | | WANG Shu-fen | College of Science, Shihezi University, Shihezi 832003, China | | CAO You-zhi | School of Chemistry and Chemical Engineering/Key Laboratory for Green Process of Chemical Engineering of Xinjiang Bingtuan, Shihezi University, Shihezi 832003, China | | WANG Wei | School of Chemistry and Chemical Engineering/Key Laboratory for Green Process of Chemical Engineering of Xinjiang Bingtuan, Shihezi University, Shihezi 832003, China | wangwei_group@sina.com | HONG Cheng-lin | School of Chemistry and Chemical Engineering/Key Laboratory for Green Process of Chemical Engineering of Xinjiang Bingtuan, Shihezi University, Shihezi 832003, China | |
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Abstract: |
Assessment of the ecological risk and analysis of the sources of heavy metals can provide scientific basis for controlling and managing soil pollution. 163 soil samples were collected from the farmland surrounding the coal mine of East Junggar Basin, and the ecological risks of heavy metals were evaluated via the index of enrichment factor(EF) and the potential ecological risk index(RI). Meanwhile, the sources of heavy metals were analyzed by using multivariate statistical analysis and geostatistical analysis. The EF results showed that Cd was slightly enriched, Cu and Hg were significantly enriched, and the other heavy metals studied were not enriched. The RI results showed that Cd and Hg had very high ecological risk, the other heavy metals studied did not have ecological risk, and the study area had extremely high ecological pollution. Principal Component Analysis(PCA) and Cluster Analysis(CA) showed that Cr, Cu, Ni, and Zn were the first components and came from the natural background; Cd was the second component; and Hg was the third component, which came from agriculture, industry, and tourism. The weights of different heavy metals were calculated by using entropy method, and the first component was unified as a new variable quantity. The three dimensional spatial distribution of different components revealed that the first kind of heavy metals mainly came from the natural contents of soils, the second kind of heavy metals mainly came from industrial pollution, and the third kind of heavy metals mainly came from agricultural activities. |
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