Paper Title:
Source Discrimination of Heavy Metals in the Inland River Sediment in Suzhou City, Anhui Province: Multivariate Statistical Approaches
  Abstract

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.

  Info
Periodical
Advanced Materials Research (Volumes 347-353)
Chapter
Chapter 12: Energy-Efficient Lighting Products and Technologies
Edited by
Weiguo Pan, Jianxing Ren and Yongguang Li
Pages
4019-4024
DOI
10.4028/www.scientific.net/AMR.347-353.4019
Citation
Z. C. Li, H. R. Gui, L. H. Sun, J. L. Mei, "Source Discrimination of Heavy Metals in the Inland River Sediment in Suzhou City, Anhui Province: Multivariate Statistical Approaches", Advanced Materials Research, Vols. 347-353, pp. 4019-4024, 2012
Online since
October 2011
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$32.00
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