Source analysis of heavy metal pollution in farmland soil in mining areas based on PCA-MLR

doi:10.14088/j.cnki.issn0439-8114.2024.11.031

Abstract

Abstract: Taking the 1 078 farmland sampling points in X County, a lead-zinc mining area, as the research object, the qualitative results of pollution source tracing were obtained through multivariate statistical analysis, and the contribution rate of each pollution source was calculated using the PCA-MLR model. The results indicated that the overall situation of heavy metal pollution in the soil of X County was good, but there was a risk of mild to moderate pollution;correlation analysis and cluster analysis indicated that there was a significant correlation among Cr, As, and Pb, as well as among Cu, Zn, and Cd, suggesting the possibility of similar pollution sources;the main sources of pollution for Pb, Cr, and As were mining emissions,the main sources of pollution for Cu and Zn were agricultural non-point source pollution,and the main source of Ni pollution was natural sources. On the basis of qualitative analysis of pollution sources, the contribution rates of different pollution sources were quantitatively confirmed through the PCA-MLR model. The main pollution sources in X County and A Town were agricultural non-point source pollution. Compared with traditional methods, this method had higher accuracy and practicality in pollution source analysis.

Key words: PCA-MLR model, farmland in mining areas, soil, heavy metals, source of pollution

CLC Number:

S151.9

SONG Ke, WANG Hao, YANG Wei, XU Jia-jun, CHU Zhao-yuan, DU Ming-ming, CAO Zhi-yong. Source analysis of heavy metal pollution in farmland soil in mining areas based on PCA-MLR[J]. HUBEI AGRICULTURAL SCIENCES, 2024, 63(11): 185-190.

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