Abstract
Determining the factors that affect the heavy metal components of soil can reveal the source of and to prevent and control heavy metal pollution in soil. After sampling, screening, testing, and other steps, the amounts of various heavy metals in 975 sampling points were obtained. The heavy metal data were associated with eight different environmental factors, and the impact of each factor on the heavy metal components of soil in Xiangzhou District was studied by means of categorical regression. The research result and analysis shows that the way land is used, and industrial production and soil type are the key elements that impact the dispersion of heavy metals in the soil in Xiangzhou District. At the same time, the interaction among factors such as the slope, the traffic distance, the way the land is used, and the soil type can affect the lead, cadmium, and mercury contents of the soil. Analysis and research of the hot spots of heavy metals in the soil found a good spatial correlation between the heavy metal distribution in the soil and some factors, such as soil parent material, industrial activities, and population density. Some hot spots of heavy metal pollution correspond to indicators such as population density and industrial activities. Although categorical regression is less used in heavy metal research, it is an appropriate method to find out factors affecting the heavy metal contents of soil, which can provide a new perspective for future researchers.
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This work was financially supported by Classification project of cultivated land soil environmental quality in Xiangzhou District (Grant Number HBJX-2019-ZC0901).
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Jie Xu helped in conceptualization and writing—original draft preparation; Pengnan Xiao helped in methodology; Jie Xu and Pengnan Xiao developed the software; all authors have read and agreed to the published version of the manuscript.
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Xu, J., Xiao, P. Influence factor analysis of soil heavy metal based on categorical regression. Int. J. Environ. Sci. Technol. 19, 7373–7386 (2022). https://doi.org/10.1007/s13762-021-03640-4
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DOI: https://doi.org/10.1007/s13762-021-03640-4