NDLI: Comprehensive analysis of heavy metals in soils from Baoshan District, Shanghai: a heavily industrialized area in China

Content Provider	Springer Nature Link
Author	Chen, Y. Y. Wang, J. Gao, W. Sun, X. J. Xu, S. Y.
Copyright Year	2012
Abstract	The potential for soil heavy metal contamination in high risk areas is a crucial issue that will impact the environment. Soil samples were collected in 2003 and 2007 to investigate heavy metal contamination characteristics and pollution changes in the industrialized district of Baoshan (Shanghai, China). Both multi-statistic and geostatistic approaches were used and proved to be useful in the interpretation of the analytical results. The potential for soil contamination in the high risk areas presents a crucial issue that will impact the environment. The results indicate that soil in the Baoshan District is alkaline. Additionally, the accumulation of heavy metals in the soil increased between 2003 and 2007. The study results indicated that the concentration of the metals lead (Pb), chromium (Cr), cadmium(Cd), mercury (Hg), arsenic (As), zinc (Zn) and copper (Cu) in the soil has great discrepancy, especially of Pb and Cr. The concentrations of Pb and Cr in the soil show significant difference between two observed years (p < 0.05). The concentration of most of these metals was higher in 2007 than 2003. Only the concentrations of Cd and As were not higher in 2007. Traffic and industrial contaminants were the likely source of Pb and As; Hg largely came from agricultural contamination, household garbage and industrial contamination; Cd, Cr, Zn and Cu mainly originated from industrial activities. Multivariate statistical analyses showed that human activities mainly contributed to heavy metal contamination. Spatial distribution confirmed this by showing that areas with the highest metal concentrations occurred where there were high levels of industrial activity and traffic. Potential ecological risk assessment results showed that high risk zones were highly correlated with spatial analysis. The study estimated that in 2007, 85.2 % of the district could be categorized as high risk, which is 77.4 times more than that in 2003.
Starting Page	2331
Ending Page	2343
Page Count	13
File Format	PDF
ISSN	18666280
Journal	Environmental Earth Sciences
Volume Number	67
Issue Number	8
e-ISSN	18666299
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-04-27
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Heavy metal Potential ecological risk Multivariate statistical analyses Geostatistical analysis Spatial change Geology
Content Type	Text
Resource Type	Article
Subject	Global and Planetary Change Earth-Surface Processes Soil Science Environmental Chemistry Pollution Geology Water Science and Technology

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