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首页> 美国卫生研究院文献>Springer Open Choice >The use of a geostatistical model supported by multivariate analysis to assess the spatial distribution of mercury in soils from historical mining areas: Karczówka Mt. Miedzianka Mt. and Rudki (south-central Poland)
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The use of a geostatistical model supported by multivariate analysis to assess the spatial distribution of mercury in soils from historical mining areas: Karczówka Mt. Miedzianka Mt. and Rudki (south-central Poland)

机译：使用多变量分析支持的地统计模型来评估历史采矿区：Karczówka山Miedzianka山和Rudki（波兰中南部）土壤中汞的空间分布

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For the purpose of this study, 181 soil samples were collected from three post-mining areas (Miedzianka Mt. (62), Karczówka Mt. (61), and Rudki (58)) in the Holy Cross Mountains, south-central Poland. Collected samples were dried, disaggregated, and digested in a closed microwave system. All solutions were analyzed for Hg concentrations with cold vapor-atomic absorption spectroscopy (CV-AAS) technique using a continuous flow vapor accessory. The average Hg concentrations and the upper limits of geochemical background (UBG) were as follows: Miedzianka Mt. Hg 0.501 mg kg−1, UBG 0.312 mg kg−1; Karczówka Mt. Hg 0.150 mg kg−1, UBG 0.180 mg kg−1; Rudki area Hg 0.216 mg kg−1, UBG 0.193 mg kg−1. The use of a spatial distribution map of mercury concentrations integrated with computed geochemical factors and results of cluster analysis showed a direct relationship between mercury contents and mining activity conducted in these areas. Only in the case of Miedzianka Mt., this relationship was visible and probably resulted from the presence of tennantite (Cu,Fe)12As4S13 in soil samples, which was also confirmed with the factor analysis. Higher Hg concentrations in soil samples from Karczówka Mt. and Rudki resulted from the presence of clay and other secondary minerals that increase the mercury adsorption from atmospheric deposition. Fossil fuel and biomass combustion was classified as the main anthropogenic source of the metal, but the neighborhood of a cement factory may be taken under consideration. Our results showed that the use of integrated geostatistical models allows for better data visualization and interpretation.Electronic supplementary materialThe online version of this article (10.1007/s10661-019-7368-5) contains supplementary material, which is available to authorized users.
机译：为了本研究的目的，从波兰中南部的圣十字山的三个采后地区（Miedzianka山（62），Karczówka山（61）和Rudki（58））采集了181个土壤样品。将收集的样品干燥，分解并在封闭的微波系统中消化。使用连续流蒸气附件，通过冷蒸气原子吸收光谱法（CV-AAS）技术分析了所有溶液的汞浓度。平均汞浓度和地球化学背景（UBG）的上限如下：Miedzianka山。汞0.501毫克千克 -1 ，UBG 0.312毫克千克 -1 ;卡尔乔夫卡山汞0.150 mg kg -1 ，UBG 0.180 mg kg -1 ; Rudki区域Hg 0.216 mg kg -1 ，UBG 0.193 mg kg -1 。将汞浓度的空间分布图与已计算的地球化学因子结合使用以及聚类分析的结果表明，在这些地区进行的汞含量与采矿活动之间存在直接关系。仅在Miedzianka山中，这种关系是可见的，并且可能是由于土壤样品中存在钙铁矿（Cu，Fe）12As4S13所致，这也通过因子分析得到了证实。来自Karczówka山的土壤样品中的汞含量较高。 Rudki的产生是由于粘土和其他次要矿物质的存在，它们增加了大气沉积物中汞的吸附。化石燃料和生物质燃烧被分类为金属的主要人为来源，但可以考虑在水泥厂附近。我们的结果表明，使用集成的地统计模型可以实现更好的数据可视化和解释。电子补充材料本文的在线版本（10.1007 / s10661-019-7368-5）包含补充材料，可供授权用户使用。

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