环境科学
土壤水分
环境修复
冶炼
土壤污染
环境化学
分摊
污染
污染
重金属
土工试验
空间分布
采矿工程
土壤科学
冶金
化学
地质学
材料科学
生物
遥感
生态学
法学
政治学
作者
Yunxia Zhang,Bo Song,Ziyang Zhou
标识
DOI:10.1016/j.jece.2023.109320
摘要
For the regulation and remediation of heavy metal-polluted soils in mining areas, it is important to study the spatial distribution of soil heavy metal accumulation, quantitatively describe the sources of soil heavy metals, and identify the main characteristic contaminants. Therefore, in this study, multivariate statistical and geostatistical analyses were combined with principal component analysis and positive matrix factorization to assess the spatial distribution of soil-contaminating heavy metals, to quantitatively describe the sources of soil heavy metal contamination in mining areas, and to identify the main contaminants in 15 Pb–Zn mining areas in six provinces of South China.The average concentrations of heavy metals were higher than the local soil background values. Mining soils were contaminated by multiple heavy metals, mainly Cd, Pb, and Zn. All the heavy metals have a strong spatial autocorrelation except for Sb. Cd and Zn mainly originated from smelting sources (24.0%), Pb mainly originated from transportation and mining sources (16.4%), As and Cu mainly arose from flux sources (25.0%), Cr, Ni, and Sb mainly originated from natural sources (34.6%). Overall, this study provides a solid research basis for the remediation and treatment of heavy metal-contaminated soils in Pb-Zn mining areas.
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