NDLI: Assessing heavy-metal contamination and sources by GIS-based approach and multivariate analysis of urban

Content Provider	Springer Nature Link
Author	Gong, Min Wu, Li Bi, Xiang yang Ren, Li min Wang, Lei Ma, Zhen dong Bao, Zheng yu Li, Zhong gen
Copyright Year	2009
Abstract	Nine potentially harmful heavy metals (Cd, Co, Cr, Cu, Hg, Mn, Pb, Ni, and Zn) were measured in 477 topsoil samples collected from urban–rural areas in the city of Wuhan in order to identify their concentrations and possible sources, and characterize their spatial variability for risk assessment. Results showed that in most rural areas heavy-metal concentrations in soil were similar to their natural background values, but Cd, Cu, Hg, Pb, and Zn concentrations were relatively higher in densely populated districts and around industrial facilities. Multivariate analyses (correlation matrix, principal component analysis, and cluster analysis) indicated that Cd, Cu, Hg, Pb, and Zn were mainly derived from anthropogenic inputs, and Co, Cr, and Mn were controlled by natural source, whereas Ni appeared to be affected by both anthropogenic and natural sources. The result of risk assessment indicated that nearly 48% of the study area suffered from moderate to severe contamination.
Starting Page	59
Ending Page	72
Page Count	14
File Format	PDF
ISSN	02694042
Journal	Environmental Geochemistry and Health
Volume Number	32
Issue Number	1
e-ISSN	15732983
Language	English
Publisher	Springer Netherlands
Publisher Date	2009-06-05
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Topsoil Heavy metals Contamination GIS Multivariate statistics Wuhan Public Health/Gesundheitswesen Environmental Chemistry Soil Science & Conservation Terrestrial Pollution Geochemistry Environmental Health
Content Type	Text
Resource Type	Article
Subject	Environmental Chemistry Medicine Geochemistry and Petrology Environmental Engineering Water Science and Technology

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