Abstract
Purpose
Heavy metals in agricultural soils readily enter the food chain when taken up by plants, but there have been few investigations of heavy metal pressure in farming areas with low background concentrations. This study was carried out in a cultivation area of Northeast China that has undergone decades of intensive farming, with the aim of identifying the sources of accumulated heavy metals in agricultural soils using multivariate analysis and geographic information system (GIS).
Materials and methods
In 2011, concentrations of total iron (Fe), manganese (Mn), copper (Cu), nickel (Ni), lead (Pb), zinc (Zn), cadmium (Cd), chromium (Cr) and cobalt (Co), as well as soil pH and organic matter, were measured at 149 sites in arable soils in the study area. The principal component analysis (PCA) was employed to extract hidden subsets from the raw dataset in order to detect possible sources. Metal contents in soils from various croplands were further investigated using analysis of variance. With the Kriging interpolation method, GIS was used to display the PCA results spatially to explore the influence of land use on heavy metal accumulation.
Results and discussion
Most of the studied metals in arable soils of the study area were shown to have low concentrations, except for Cd (0.241 mg kg−1). According to the results of the PCA analysis, Fe, Mn, Pb, Zn, Cd, and Co formed the first component (PC1) explaining 40.1 % of the total variance. The source of these metals was attributed to farming practices (“anthropogenic” factor). Cu, Ni, and Cr fell into the second component (PC2), heavy metals that derived from parent rock materials (“lithogetic” factor). This component describes 24.6 % of the total variance. Compared to paddy lands, soils in drylands had greater accumulations of all the metals in PC1, which can be explained by a higher rate of phosphorus fertilizer application and a longer farming history.
Conclusions
Owing to the natural low backgrounds, soils in the study area were safe from heavy metal pollution with a contamination risk of Cd the only exception. Multivariate analysis and GIS were effective means in helping to identify the sources of soil metals and addressing the land use influence on soil metals accumulation. This work can support the development of strategy and policies to aid in the prevention of widespread heavy metal contamination in area with characteristics similar to those of the study area.
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Acknowledgments
This study was financially supported by the National Natural Science Foundation of China (grant no. 40930740, 41001317) and the GLOCOM project (grant no. PIRSES-GA-2010-269233). We also obtained support from the Engagement Fund for Outstanding Doctoral Dissertation of Beijing Normal University (2009018). Besides, the authors are very grateful for the full support from the Department of Chemistry, Umeå University, as well as assistance with data requirements of the Bawujiu Farm in Heilongjiang Province, China.
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Shan, Y., Tysklind, M., Hao, F. et al. Identification of sources of heavy metals in agricultural soils using multivariate analysis and GIS. J Soils Sediments 13, 720–729 (2013). https://doi.org/10.1007/s11368-012-0637-3
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DOI: https://doi.org/10.1007/s11368-012-0637-3