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废弃 Sb-As-Tl 多金属矿地区土壤和溪流沉积物中化学元素的分布。

Distribution of chemical elements in soils and stream sediments in the area of abandoned Sb-As-Tl Allchar mine, Republic of Macedonia.

机构信息

Institute of Chemistry, Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University, POB 162, 1000 Skopje, Macedonia.

Institute of Chemistry, Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University, POB 162, 1000 Skopje, Macedonia.

出版信息

Environ Res. 2014 Aug;133:77-89. doi: 10.1016/j.envres.2014.03.045. Epub 2014 Jun 4.

Abstract

The aim of this study was to investigate the distribution of some toxic elements in topsoil and subsoil, focusing on the identification of natural and anthropogenic element sources in the small region of rare As-Sb-Tl mineralization outcrop and abandoned mine Allchar known for the highest natural concentration of Tl in soil worldwide. The samples of soil and sediments after total digestion were analyzed by inductively coupled plasma-mass spectrometry (ICP-MS) and inductively coupled plasma-atomic emission spectrometry (ICP-AES). Factor analysis (FA) was used to identify and characterize element associations. Six associations of elements were determined by the method of multivariate statistics: Rb-Ta-K-Nb-Ga-Sn-Ba-Bi-Li-Be-(La-Eu)-Hf-Zr-Zn-In-Pd-Ag-Pt-Mg; Tl-As-Sb-Hg; Te-S-Ag-Pt-Al-Sc-(Gd-Lu)-Y; Fe-Cu-V-Ge-Co-In; Pd-Zr-Hf-W-Be and Ni-Mn-Co-Cr-Mg. The purpose of the assessment was to determine the nature and extent of potential contamination as well as to broadly assess possible impacts to human health and the environment. The results from the analysis of the collected samples in the vicinity of the mine revealed that As and Tl elements have the highest median values. Higher median values for Sb are obviously as a result of the past mining activities and as a result of area surface phenomena in the past.

摘要

本研究的目的是调查表土和底土中一些有毒元素的分布情况,重点是确定稀有砷-锑-碲矿化露头和以土壤中天然铊浓度最高而闻名的废弃矿场 Allchar 这一小区域中自然和人为元素源。经过全消解后,对土壤和沉积物样品进行电感耦合等离子体质谱(ICP-MS)和电感耦合等离子体原子发射光谱(ICP-AES)分析。因子分析(FA)用于识别和描述元素关联。通过多元统计方法确定了六个元素关联:Rb-Ta-K-Nb-Ga-Sn-Ba-Bi-Li-Be-(La-Eu)-Hf-Zr-Zn-In-Pd-Ag-Pt-Mg;Tl-As-Sb-Hg;Te-S-Ag-Pt-Al-Sc-(Gd-Lu)-Y;Fe-Cu-V-Ge-Co-In;Pd-Zr-Hf-W-Be 和 Ni-Mn-Co-Cr-Mg。评估的目的是确定潜在污染的性质和程度,并广泛评估对人类健康和环境的可能影响。对矿场附近采集样本的分析结果表明,砷和铊元素的中位数最高。锑的中位数较高显然是过去采矿活动以及过去区域表面现象的结果。

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