School of Metallurgy and Environment, Central South University, Changsha 410083, China.
School of Geosciences and Info-physics, Central South University, Changsha 410083, China.
J Environ Sci (China). 2023 May;127:552-563. doi: 10.1016/j.jes.2022.06.026. Epub 2022 Jun 27.
Smelting activities are the main pathway for the anthropogenic release of heavy metals (HMs) into the soil-groundwater environment. It is vital to identify the factors affecting HMs pollution to better prevent and manage soil pollution. The present study conducted a comprehensive investigation of HMs in soil from a large abandoned Zn smelting site. An integrated approach was proposed to classify and quantify the factors affecting HMs pollution in the site. Besides, the quantitative relationship between hydrogeological characteristics, pollution transmission pathways, smelting activities and HMs pollution was established. Results showed that the soils were highly contaminated by HMs with a pollution index trend of As > Zn > Cd > Pb > Hg. In identifying the pollution hotspots, we conclude that the pollution hotspots of Pb, As, Cd, and Hg present a concentrated distribution pattern. Geo-detector method results showed that the dominant driving factors for HMs distribution and accumulation were the potential pollution source and soil permeability. Additionally, the main drivers are variable for different HMs, and the interaction among factors also enhanced soil HMs contamination. Our analysis illustrates how the confounding influences from complex environmental factors can be distilled to identify key factors in pollution formation to guide future remediation strategies.
冶炼活动是重金属(HMs)人为释放到土壤-地下水环境中的主要途径。识别影响 HMs 污染的因素对于更好地预防和管理土壤污染至关重要。本研究对大型废弃锌冶炼场的土壤中的 HMs 进行了全面调查。提出了一种综合方法来对影响该场地 HMs 污染的因素进行分类和量化。此外,还建立了水文地质特征、污染传输途径、冶炼活动与 HMs 污染之间的定量关系。结果表明,土壤受到 HMs 的高度污染,污染指数趋势为 As > Zn > Cd > Pb > Hg。在识别污染热点时,我们得出结论,Pb、As、Cd 和 Hg 的污染热点呈现集中分布模式。地理探测器方法的结果表明,HMs 分布和积累的主要驱动因素是潜在污染源和土壤渗透性。此外,不同 HMs 的主要驱动因素是可变的,并且因素之间的相互作用也增强了土壤 HMs 的污染。我们的分析说明了如何从复杂的环境因素中提取混杂影响来识别污染形成的关键因素,以指导未来的修复策略。