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| Spatial variability and multivariate homogeneity division of soil heavy metals in typical areas |
| Received:September 06, 2020 |
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| KeyWord:soil heavy metals;homogeneity zoning;spatial autocorrelation;spatial heterogeneity;principal component-fuzzy cluster analysis |
| Author Name | Affiliation | E-mail | | YANG Nan | China National Environmental Monitoring Centre, Beijing 100012, China | | | LIAN Ya | China National Environmental Monitoring Centre, Beijing 100012, China
School of Environment and Energy Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China | | | XIA Xin | China National Environmental Monitoring Centre, Beijing 100012, China | | | ZHANG Mingshun | School of Environment and Energy Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China | | | LI Zongchao | China National Environmental Monitoring Centre, Beijing 100012, China | lizc@cnemc.cn |
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| Abstract: |
| To select long-term monitoring sites for soil，this study used the farmland downstream of a mine in a mountainous area，applied a geostatistical analysis method to analyze the spatial structural characteristics of eight heavy metal elements（As，Cr，Pb，Zn，Cd，Cu， Ni，and Hg），and carried out research on the homogeneity zoning of the soil space using the principal component-fuzzy cluster analysis （PCFCA）method. The results showed that all eight heavy metals had spatial autocorrelation. Additionally，Cr，Cu，Ni，and Hg elements were moderately variable，whereas As，Pb，Zn，and Cd elements were highly variable; eight heavy metal indicators were transformed into three comprehensive indicators，and the studied area was divided into three approximate homogeneous zones（Zone 1，Zone 2，and Zone 3）using the PCFCA method. The average contents of As，Pb，Zn，Cd，Cu，Ni，and Hg followed the order of Zone 1>Zone 2>Zone 3， whereas those of Cr were in the order of Zone 3>Zone 2>Zone 1. Moreover，the three zones obtained by the PCFCA method were consistent with the actual spatial distribution of soil heavy metal content，verifying that this method can be used for the multivariate homogeneous division of soil heavy metals with complex spatial variability. |
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