Green Communications and Networks pp 729-736 | Cite as
Multivariate Statistical Evaluation of Heavy Metals in Pond Sediments from a Rural Area in Sixian County, Northern Anhui Province, China
Abstract
Heavy metal concentrations from pond sediments in a rural area in Sixian County, Northern Anhui Province, China had been determined by using X-ray fluorescence, and the calculation of enrich factor and index of geo-accumulation, as well as multivariate statistical analysis (including principle component analysis and cluster analysis) had been brought out to light. The results indicate that V, Cr, Cu and Zn of pond sediments are unpolluted, whereas copper is light pollution when normalize to soil environmental background value of China. Two sources of heavy metals have been obtained by using multivariate statistical analysis, including lithogenic (V and Cr) and anthropogenic (Cu), whereas Zn and Pb are mainly contributed from anthropogenic activities, with little contribution from the background. The distribution of Cu, Zn and Pb concentrations are similar to the distribution of towns and roads, also indicate an anthropogenic origin.
Keywords
Heavy metals Pond sediments Correlation matrix Principle component analysis Cluster analysisNotes
Acknowledgments
This work was financially supported by the Key Project of Natural Science of the Department of Education, Anhui Province (KJ2011A261).
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