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. 2014:2014:517020.
doi: 10.1155/2014/517020. Epub 2014 Apr 16.

Multivariate-statistical assessment of heavy metals for agricultural soils in northern China

Pingguo Yang  1 , Miao Yang  2 , Renzhao Mao  3 , Hongbo Shao  4
Affiliations

Multivariate-statistical assessment of heavy metals for agricultural soils in northern China

Pingguo Yang et al. ScientificWorldJournal. 2014.

Abstract

The study evaluated eight heavy metals content and soil pollution from agricultural soils in northern China. Multivariate and geostatistical analysis approaches were used to determine the anthropogenic and natural contribution of soil heavy metal concentrations. Single pollution index and integrated pollution index could be used to evaluate soil heavy metal risk. The results show that the first factor explains 27.3% of the eight soil heavy metals with strong positive loadings on Cu, Zn, and Cd, which indicates that Cu, Zn, and Cd are associated with and controlled by anthropic activities. The average value of heavy metal is lower than the second grade standard values of soil environmental quality standards in China. Single pollution index is lower than 1, and the Nemerow integrated pollution index is 0.305, which means that study area has not been polluted. The semivariograms of soil heavy metal single pollution index fitted spherical and exponential models. The variable ratio of single pollution index showed moderately spatial dependence. Heavy metal contents showed relative safety in the study area.

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Figures

Figure 1
Figure 1
Map of the studied area and sampling locations.
Figure 2
Figure 2
Dendrogram results from Pearson correlation coefficients of hierarchical cluster analysis for heavy metals.
Figure 3
Figure 3
Semivariograms model of soil heavy metal single pollution index.
See this image and copyright information in PMC

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