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| Multi-scale Spatial Distribution and Source Discrimination of Heavy Metals in Suburb Soils: A Case Study of Junctional Zone between Nanjing City and Zhenjiang City |
| Received:June 12, 2015 |
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| KeyWord:agricultural soil;heavy metal;spatial variation;geostatistics;different scales |
| Author Name | Affiliation | E-mail | | HU Sun | College of Environment, Hohai University, Nanjing 210098, China | | | YUAN Xu-yin | College of Environment, Hohai University, Nanjing 210098, China | yxy_hjy@hhu.edu.cn | | CHEN Hong-yan | College of Environment, Hohai University, Nanjing 210098, China | | | LI Tian-yuan | College of Environment, Hohai University, Nanjing 210098, China | | | LIU Qing | College of Environment, Hohai University, Nanjing 210098, China | |
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| Abstract: |
| Studying the spatial distribution characteristics of heavy metals in soils provides valuable information not only for pollution source identification, but also for soil quality assessment. In this study,we investigated the multi-scale spatial distribution and source discrimination of Cr, Ni, Cu, Zn, As and Pb in agricultural soils in a junctional zone between Nanjing City and Zhenjiang City, using geostatistics method. Heavy metal concentrations in most of the studied soils exceeded the soil background values of Nanjing, except Ni, indicating the enrichment of heavy metals in the suburb soils. The semivariance analysis showed that the spatial patterns of heavy metals had obvious differences at different scales. Nickel and As displayed the spatial patterns at the small scale, while Cr and Pb had the spatial patterns preferably at the large scale. The spatial patterns of Cu and Zn showed no significant difference at different scales. Principal component analysis(PCA)showed that Pb and As were influenced by traffic source, whereas agricultural activities were the main source of Zn and Cu pollution. Nickel and Cr were mainly associated with parent materials. The association between heavy metals and soil composition was different at different scales, with better association at smaller scales than at moderate and large scales. |
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