Vernadsky Institute of Geochemistry and Analytical Chemistry, Russian Academy of Sciences, Moscow, Russia, 119991.
Southern Federal University, Rostov-on-Don, Russia, 344006.
Environ Geochem Health. 2020 Dec;42(12):4087-4100. doi: 10.1007/s10653-019-00361-z. Epub 2019 Jul 1.
Coal-fired power stations are significant sources of soil contamination with heavy metals and a source of hazard to human health. The soil samples (n = 25) selected in the area around Novocherkassk Power Station (Rostov Region, Russia) within a radius of up to 20 km revealed the enrichment with Pb, Cu and Zn. The heavy metals (HM) content in soil is reduced in the following sequence: Mn > Cr > Zn > Ni > Cu > Pb > Co. The correlation diagrams of the HM total content in soils revealed a significant association between the following HM pairs: Cu-Pb, Ni-Cu, Cd-Ni, Cd-Cu (r ≥ 0.7, p < 0.001). The concentration coefficient (Kc) and the total pollution coefficient (Zc) were used to estimate anthropogenic pollution. The use of generalized additive model (GAM) to detect the dependence of HM distribution on factors revealed the significance of the source distance. The influence of wind rhumb on HM distribution has a complex nonlinear nature. A GAM shows a good performance for all data sets: R = 0.71, 81% deviance explained for Zn, R = 0.85, 91% deviance explained for Cd, R = 0.63, 70% deviance explained for Ni. Thus, GAM model reveals significant factors (Dist_km, rhumb) in forming pollution by heavy metals in studied impact zone and proved a valuable approach to assess the degree and sources of pollution in soils on a large scale.
燃煤电厂是重金属土壤污染的重要来源，也是对人类健康的危害源。在俄罗斯罗斯托夫地区新切尔卡斯克电厂周围 20 公里范围内选择的土壤样本（n=25）显示出 Pb、Cu 和 Zn 的富集。土壤中重金属（HM）的含量按以下顺序降低：Mn>Cr>Zn>Ni>Cu>Pb>Co。土壤中 HM 总量的相关图显示了以下 HM 对之间存在显著关联：Cu-Pb、Ni-Cu、Cd-Ni、Cd-Cu（r≥0.7，p<0.001）。浓度系数（Kc）和总污染系数（Zc）用于估计人为污染。广义加性模型（GAM）用于检测 HM 分布对因子的依赖性，发现源距离的重要性。风向对 HM 分布的影响具有复杂的非线性性质。GAM 对所有数据集的表现都很好：Zn 的 R=0.71，解释了 81%的偏差，Cd 的 R=0.85，解释了 91%的偏差，Ni 的 R=0.63，解释了 70%的偏差。因此，GAM 模型揭示了在研究影响区域形成重金属污染的重要因素（Dist_km、rhumb），并证明了一种在大规模评估土壤污染程度和来源的有价值方法。
