Quantitatively assessing the risks and possible sources of toxic metals in soil from an arid, coal-dependent industrial region in NW China
Quantitatively assessing the risks and possible sources of toxic metals in soil from an arid, coal-dependent industrial region in NW China
复制标题
定量评估中国西北干旱、依赖煤炭的工业区土壤中有毒金属的风险和可能来源
DOI：
10.1016/j.gexplo.2020.106505
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发表时间：
2020-05-01
影响因子：
3.9
通讯作者：
Hao, Li
中科院分区：
文献类型：
--
作者：
Imin, Bilal;Abliz, Abdugheni;Hao, Li
干旱矿区土壤中有毒金属污染的综合研究尚未引起应有的重视。本文对新疆准噶尔盆地东部干旱矿区土壤中Zn、Cu、Cr、Pb、Hg和As等6种污染物的含量进行了研究。Cr、Hg和As的浓度值得注意，而Zn、Cu和Pb的浓度低于其省（新疆）指导值。As的平均富集度超过了中国环境保护总局推荐的土壤质量标准（I和II），而其他金属则在土壤质量标准I的允许值范围内。研究区存在不同程度的综合生态风险，Hg是PER的主要贡献者。在健康风险评估中，儿童似乎比成人具有更高的健康风险危害，As为主要贡献者，其次是Cr。正矩阵分解（PMF）模型解释了燃煤、机动车排放、大气沉降、工业排放和自然因素5种可能的污染源，分别占总贡献的20.79%、16.83%、16.83%、27.72%和17.82%。研究结果将为地方政府制定更有效的目标政策以控制污染物的扩散提供信息，并为该地区的土壤质量保护和改善以及其他研究计划提供参考资料。
Comprehensive studies on toxic metal pollution in the soils of arid coal-mining areas have not drawn the attention they deserve. In the present study, we investigated the concentrations of 6 pollutants (Zn, Cu, Cr, Pb, Hg, and As) in soils of an arid mining area, the Eastern Junggar Basin (EJB) of Xinjiang, Northwestern China. Noticeable concentrations were found for Cr, Hg, and As, whereas Zn, Cu, and Pb were lower than their provincial (Xinjiang) guideline values. The average enrichment of As exceeded both Quality Standards (I and II) for soil recommended by the Chinese Environmental Protection Administration, whereas other metals were found within the allowable values of Soil Quality Standard I. There were different degrees of comprehensive ecological risks in the area, and Hg was the major contributor to the PER. In health risk assessments, children seem to have a higher health risk hazards than adults, with As as the primary contributor, followed by Cr. The positive matrix factorization (PMF) model explains five possible sources, including coal combustion, vehicle emissions, atmospheric deposition, industrial discharge, and natural factors, which accounted for 20.79%, 16.83%, 16.83%, 27.72%, and 17.82% of the total contribution, respectively. The results will be informative for local authorities to establish more effective targeting policies to control the spread of contaminants and provide reference materials for soil quality protection and improvement and other research programs in this area.