矿区微量元素污染来源分析与评价的多元统计方法(以迈赫迪阿巴德铅锌矿为例)

S. S. Barjoee, Neda Rezaei, S. Zarei, M. Abadi, E. Malverdi, M. Nikbakht, M. R. Naghdi
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引用次数: 2

摘要

采矿活动是环境中微量元素的主要来源之一,这是全世界,特别是发展中国家真正关心的问题。本研究旨在探讨相关矩阵和层次聚类分析(HCA)等多变量方法在亚兹德省Mehriz市Mehdi Abad铅锌矿沉积粉尘中微量元素可能来源的识别,以及基于地堆积指数(I geo)、Nemerow污染指数(PI Nemerow)、改进Nemerow指数(in)和综合污染指数(CPI)的粉尘污染评价。此外,还采用人为指数来确定元素的来源。为此,使用大理石除尘器(MDCO)收集了9个地点的沉积粉尘。接下来,使用电感耦合等离子体质谱(ICP-MS)测定粉尘的化学分析。采用SPSS 22.0进行统计学分析。结果表明,粉尘中锌、铊、银、铝、砷、铋、钙、镉、铈、铯、铒、铕、钆、铪、钾、镥、锰、钠、磷、锑、钪、钐的浓度均高于本底值。HCA确定了这些元素的两个来源。人为指数证实了沉积尘中元素的地质成因。CPI和PI Nemerow指数均为重度污染。IN指数结果表明,56%的采样点为重度污染点。I geo、PI Nemerow和IN指数分析表明,砷对采样点沉积物的污染程度极高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multivariate and Statistical Approaches for the Source Apportionment and Evaluation of Trace Elements Pollution at Mining Areas (Case study: Mehdi Abad Pb/Zn mine)
Mining activities are among the main sources of trace elements in the environment, which constitute a real concern worldwide, especially in developing countries. This study aimed to investigate the multivariate approaches such as Correlation Matrix and Hierarchical Cluster Analysis (HCA) for the identification of probable sources of trace elements in the deposited dust near the Mehdi Abad Pb/Zn mine located in Mehriz, Yazd province, as well as the evaluation of dust contamination based on the Geo-accumulation Index (I geo), Nemerow Pollution Index (PI Nemerow), Improved Nemerow Index (IN), and Combined Pollution Index (CPI). In addition, an anthropogenic index was used to determine the sources of the elements.  For this purpose, deposited dust was collected in nine sites using a marble dust collector (MDCO). Next, the chemical analysis of dust was determined using Inductively Coupled Plasma-Mass Spectrometry (ICP-MS). Statistics analysis was carried out using SPSS 22.0. The results showed that concentrations of zinc, thallium, silver, aluminium, arsenic, bismuth, calcium, cadmium, cerium, caesium, erbium, europium, gadolinium, hafnium, potassium, lutetium, manganese, sodium, phosphorus, antimony, scandium, and samarium in the deposited dust was higher than the background value. HCA identified two origins for the elements. The anthropogenic index confirmed the geogenic origin of elements in the deposited dust. Furthermore, CPI and PI Nemerow indices values showed that all sampling sites were in the heavily contaminated class. The results of IN Index showed that 56% of sampling sites were in the heavily contaminated class. The analysis of I geo, PI Nemerow, and IN indices showed that arsenic caused extreme contamination of the deposited dust at sampling sites.
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