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Source discrimination of heavy metals in the inland river sediment in Suzhou City, Anhui Province: multivariate statistical approaches

机译:安徽省苏州市内陆河沉积物的重金属的源辨别:多变量统计方法

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Heavy metal concentrations of the sediment from an inland river in Suzhou city, northern Anhui Province were determined, and the index of Geo-accumulation (Igeo) was calculated for evaluating the extent of heavy metals contamination. The results showed that the contents of Cr, Cu, Zn, As, and Pb are higher than those of the background values, and the Igeo data indicates that these metals can be subdivided into three kinds, un-pollution (Cr and As), slight pollution (Pb) and moderate pollution (Cu and Zn). Multivariate statistical approaches were applied for source discrimination of heavy metals. The multivariate statistical approaches drew the final conclusion: (1) Cluster I consisted with Cu and Pb is greatly impacted by the traffic emissions, corresponding to the PC1; (2) the high accumulation of Zn and As in Cluster II mainly derived from the pollutant emissions in industry area, representing the PC2; (3) Cluster III (only Cr) is considered to be controlled by the parent materials of soils and shows the character of PC3; (4) The high contamination of Cluster I and II are related to the human activities, the government should pay attention to the environment in the area.
机译:确定了苏州市苏州市内陆河沉积物的重金属浓度,确定了地球积累指数(IgEo)的指标,用于评估重金属污染的程度。结果表明,Cr,Cu,Zn,AS和Pb的含量高于背景值,IgEo数据表明这些金属可以细分为三种,无污染(Cr和As),轻微的污染(Pb)和中度污染(Cu和Zn)。应用多元统计方法,用于重金属的源区辨别。多元统计方法制定了最终结论:(1)由Cu和Pb组成的集群I受到PC1的交通排放的大大影响; (2)Zn的高积累和群体II主要来自工业区污染物排放,代表PC2; (3)簇III(仅CR)被认为是由土壤的母材料控制的,并显示PC3的特征; (4)集群I和II的高污染与人类活动有关,政府应注意该地区的环境。

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