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| Spatial correlation and variation analysis of soil heavy metals contamination in upper source tributary of Tuojiang River, China |
| Received:September 23, 2019 |
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| KeyWord:soil heavy metals;spatial correlation index;semi-variation cloud;correlation analysis;spatial variation |
| Author Name | Affiliation | E-mail | | REN Jia-guo | School of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China | | | WANG Bin | School of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Technical Centre for Soil, Agricultural and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
Institute of Soil and Solid Waste Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China | | | SHI Hua-ding | Technical Centre for Soil, Agricultural and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
Institute of Soil and Solid Waste Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China | shihd@creas.org.cn | | WU Qian-qian | School of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China | |
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| Abstract: |
| To explore the spatial variation and the correlation of soil heavy metals(Cd, Hg, As, Pb, and Cr)in the upper source tributary of Tuojiang River, we analyzed the spatial correlation of soil heavy metals through Global Moran's I and Anselin Local Moran's I and analyzed their spatial structures using semi-variation cloud. Finally, we predicted the spatial distributions of heavy metals contamination using Kriging's method and evaluated the causes of the spatial variation. The results showed that soil heavy metals contents were mostly at a low level, and their averages did not exceed the risk screening value of national standard for soil environmental quality(GB 15618-2018). There was a positive correlation between soil heavy metals contents and space in the study area. Heavy metals were likely to have clustering characteristics except Hg that exhibited clustering characteristics through the analysis of local cold-hot spots and abnormal values. Cd and Pb had good spatial continuity, strong correlation, and the longest range of variation, followed by As and Cr, and Hg was the worst. The spatial variations of heavy metals in this study area were related to the distribution of enterprises, sewage irrigation, heavy fertilization, and other natural factors. |
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