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| Speciation distribution characteristics of heavy metals in soil of multi-metal mining pastoral area and pollution assessment |
| Received:April 12, 2016 |
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| KeyWord:soil;heavy metal;speciation;pollution load index (PLI);nemerow index method;risk assessment coding method (RAC);cluster analysis (CA) |
| Author Name | Affiliation | E-mail | | LUO Lang | School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang 621010, China | | | LIU Ming-xue | School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang 621010, China
Key Laboratory of Waste Solid Treatment and Resource Recycle of Ministry of Education, Mianyang 621010, China | dragonlmx@126.com | | DONG Fa-qin | Key Laboratory of Waste Solid Treatment and Resource Recycle of Ministry of Education, Mianyang 621010, China | | | XIANG Sha | School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang 621010, China | | | ZHANG Ge-ge | School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang 621010, China | | | ZONG Mei-rong | Key Laboratory of Waste Solid Treatment and Resource Recycle of Ministry of Education, Mianyang 621010, China | | | YANG Gang | School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang 621010, China | | | ZHANG Qian | School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang 621010, China | | | ZHANG Wei | Key Laboratory of Waste Solid Treatment and Resource Recycle of Ministry of Education, Mianyang 621010, China | |
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| Abstract: |
| Mining and tailings may bring impacts on surrounding environment, one of which is heavy metal pollution. The analysis of heavy metal speciation and distribution can provide scientific basis for control, management and remediation of soil pollutants. The total and extractable contents of heavy metals(Cr, Cu, Ni, Pb, Sr, Zn) in soil samples collected around a multi-metal mining area were measured and the degree of heavy metal pollution was evaluated with pollution load index(PLI), Nemerow index method and risk assessment code(RAC) in this research. The results showed that the total contents of most measured heavy metals were higher than the background values of soil. The PLI results indicated that the soil around the mining area was in the middle pollution level and the degree order of heavy metal pollution was Zn > Cu > Ni > Cr > Pb > Sr. Furthermore, the occurrence state of measured heavy metals showed that the main chemical speciation was residual fraction in these soil samples. The exchangeable fraction(4.99%~42.11%) and carbonate fraction(4.05%~41.10%) of Sr were the highest, while the organic fractions for Cu and Ni were obviously higher than that of other elements. The RAC results indicated that Sr was in high ecological risk; Cu, Ni, Pb and Zn were in a substantially low risk, while Cr showed no risk. Cluster analysis(CA) showed that the non-residual fractions for measured heavy metals in soil samples could be revealed as two clusters:Ni, Pb, Cu and Cr, Sr and Zn. Sr and Zn in the measured heavy metals were the most risk elements to environmental pollution. The above results suggested that this region has been contaminated to varied extents, and there exists further pollution risk. So, the management and supervision of multi-metal mining and tailing in this region should be strengthened. |
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