Abstract
In order to study the pollution status of heavy metals in coastal agricultural soils, this paper took a vegetable base of the coastal area in Southeast China as the research object to analyze the distribution status of seven heavy metals, namely, Cr, Ni, Cu, Zn, As, Cd and Pb, in the soil depth of 0–20 cm and 20–40 cm, based on Kriging interpolation method. In terms of soil spatial variation eigenvalues, The element As between the two layers showed the strongest spatial correlation, followed by Pb and Ni. Cr, Cu, Zn and Cd showed moderate spatial correlation. It was concluded from the interpolation results that Cr and Ni elements, especially in the surface soil, had a similar spatial distribution characteristics.
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Acknowledgements
This study was supported by the Guiding Projects of Fujian Science and Technology Department (2019N0019), Innovation and Entrepreneurship Training Program for College Students in Fujian Province (201710395045), Minjiang University Presidential Fund Project (103952018010, 103952018016).
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Li, H., Liang, F., Qin, Z., Zhang, J., Wang, K., Jiang, M. (2022). Spatial Distribution of Heavy Metals in Soil Based on Kriging Interpolation. In: Pan, JS., Balas, V.E., Chen, CM. (eds) Advances in Intelligent Data Analysis and Applications. Smart Innovation, Systems and Technologies, vol 253. Springer, Singapore. https://doi.org/10.1007/978-981-16-5036-9_16
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