湘江下游沉积物重金属污染模糊评价
Assessment of heavy metal pollution using the fuzzy function normalization method for sediments of the lowermost Xiangjiang River
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摘要: 对湘江下游株洲、湘潭和长沙段河床沉积物进行沉积柱取样,利用ICP-MS等技术手段分析沉积物重金属含量.建立随机模拟与三角模糊数的理论耦合模型,修正地累积指数评价的修正系数K值,再利用改进的地累积指数法评价沉积物重金属污染程度.结果表明,湘江株洲段河床沉积物中Pb、Zn为极强污染,Cu为强烈污染;湘潭段和长沙段Zn、Pb、Cu为中度污染.Mn在各河段河床沉积物中分布较均匀,为中度污染,并有向偏重度污染发展的趋势.而Sc、V、Cr、Co、Ni等重金属在河床沉积物中为轻度污染.湘江下游河床沉积物的主要重金属污染因子为Mn、Cu、Pb和Zn,治理湘江下游河床沉积物重金属污染应主要针对这几种重金属.Abstract: Sediment core samples were collected at Zhuzhou, Xiangtan, and Changsha sections of the lowermost Xiangjiang River, and concentrations of heavy metals and Al2O3 in the sediments were analyzed using ICP-MS and XRF techniques respectively, in this study. Then heavy metal contamination of the sediments was evaluated using the Geo-accumulation index (Igeo) after it's coefficient K value was corrected using a theoretical coupling model that is established on the base of stochastic simulation and triangular fuzzy number. The results show that sediments in river section of the Zhuzhou city were extremely contaminated by Pb and Zn, and heavily contaminated by Cu. Sediments distributed in river sections of the Xiangtan and Changsha cities were moderately contaminated by Cu, Pb and Zn. Sediments of all the river sections were moderately contaminated by Mn, which displays similar distribution pattern in all the sediments of the river, and slightly contaminated by Sc, V, Cr, Co, and Ni. It is concluded that major contamination factors for the lowermost Xiangjiang River include Mn, Cu, Pb and Zn. Thus, we should pay more attention to these heavy metals in the management of heavy-metal contamination in the sediments of the lowermost river.
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Key words:
- Xiangjiang downstream /
- sediment /
- heavy metals /
- index of geoaeeumulation /
- stochastic simulation
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