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Spatial distribution of heavy metals in soils of the flood plain of the Seversky Donets River (Russia) based on geostatistical methods.
Environmental Geochemistry and Health ( IF 4.2 ) Pub Date : 2020-08-29 , DOI: 10.1007/s10653-020-00688-y
Vitaly G Linnik 1 , Tatiana V Bauer 2 , Tatiana M Minkina 3 , Saglara S Mandzhieva 3 , Mahmoud Mazarji 3
Affiliation  

Soil contamination by heavy metals (HM) is a worldwide problem for human health. To reduce risk to human health from exposure to toxic chemicals associated with soil contamination, it is necessary to monitor and assess HM concentrations in the soil for places where the concentration exceeds the acceptable levels. Spatial patterning is a necessary tool for assessment of the exposure risk of HM contamination. Soil sampling (n = 65) was carried out in technogenically polluted soils located at Rostov oblast to study the content and spatial distribution of four HM (Cu, Zn, Pb, and Cr) in the surface layer (0-20 cm) of the impact zone of former Lake Atamanskoe (floodplain of the Seversky Donets River valley, Rostov region) with an area of 3.91 km2. Extremely high values of HM concentrations were found with the maximum values of 702 mg/kg, 72,886 mg/kg, 2300 mg/kg, 259 mg/kg for Cu, Zn, Pb, and Cr, respectively. Inverse distance-weighted (IDW) interpolation was used to prepare 3D monoelement images of HM. Lognormal kriging and indicator kriging techniques were applied to create elemental spatial distribution maps and HM probability maps. The results showed that the total content of Cu, Zn, Pb, and Cr was moderately spatially dependent (nugget-to-sill ratio ranged from 31 to 38%), whereas the contamination index Zc formed strong spatial dependence patterns (nugget-to-sill ratio ranged from 0 to 21.4%). The obtained results of this study could serve as a guide to the authorities in identifying those areas which need remediation. Moreover, this study provides a tool for assessing the hygienic situation in the vicinity of Kamensk-Shakhtinsky (Rostov region) for decision making that can help to minimize the environmental risk of technogenic soil contamination of HM.

中文翻译:

基于地统计方法的俄罗斯顿涅茨河冲积平原土壤中重金属的空间分布。

重金属(HM)污染土壤是人类健康的世界性问题。为了降低接触与土壤污染相关的有毒化学物质对人类健康的风险,有必要监测和评估浓度超过可接受水平的土壤中的 HM 浓度。空间模式是评估 HM 污染暴露风险的必要工具。在位于罗斯托夫州的技术污染土壤中进行了土壤采样(n = 65),以研究在表层(0-20 cm)中四种 HM(Cu、Zn、Pb 和 Cr)的含量和空间分布。前 Atamanskoe 湖(罗斯托夫地区 Seversky Donets 河谷的洪泛区)的影响区,面积 3.91 平方公里。发现了极高的 HM 浓度值,最大值为 702 mg/kg、72,886 mg/kg、Cu、Zn、Pb 和 Cr 分别为 2300 mg/kg、259 mg/kg。逆距离加权 (IDW) 插值用于制备 HM 的 3D 单元素图像。应用对数正态克里金法和指示克里金法来创建元素空间分布图和 HM 概率图。结果表明,Cu、Zn、Pb 和 Cr 的总含量具有中度空间依赖性(熔核与基台的比例在 31% 到 38% 之间),而污染指数 Zc 形成强烈的空间依赖性模式(熔核与基台率范围为 0 至 21.4%)。本研究获得的结果可以作为指导当局确定需要整治的领域。而且,
更新日期:2020-08-29
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