ASSESSMENT OF HEAVY METAL CONTAMINANTS IN GROUNDWATER AROUND MINING AREA BY USING METAL POLLUTION INDICES MULTIVARIATE ANALYSIS AND GIS TECHNIQUE

Vijayendra Pratap Dheeraj, C. S. Singh, A. K. Sonkar, Saurabh Kumar Barman
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Abstract

An opencast and underground coal mining each have the potential to have a negative impact on the groundwater table in terms of both its quantity and quality. Leachates from overburden dumps and industrial waste are another issue worldwide; they infiltrate into the groundwater and have a negative impact on the quality of it. A concern is that groundwater will become contaminated with heavy metals. Therefore, in the current study, the groundwater sample have been collected systematically from different sources of water in pre monsoon season (May) of 2022 around Korba coalfield (KCF). The collected water samples were examined for 9 different heavy metals by using ICP-MS (Inductively Coupled Plasma Mass Spectrometer-Perkin Elmer, Optima 4300 DV) instrument. In general,the concentrations of few metals such as Aluminium, Cadmium, Copper, Iron, Lead, and Zinc were found to be well below the acceptable limits of World Health Organization (WHO) and Bureau of Indian Standards (BIS) standard, however Manganese, Barium, and Nickel concentrations were observed to be above to desirable limits of WHO and BIS standard at a few sites which is similar to the results obtained by previous studies. These laboratory data were applied for the calculation of heavy metal pollution indices such as Heavy Metal Pollution Index (HPI), Heavy Metal Evaluation Index (HEI), and Contamination Index (Cd). The multiple approach used to evaluate the metal indices identifies that 80 % of HPI, 85 % of HEI, and 95 % of Cd for groundwater samples mostly classified as “lowto medium” class. The spatial diagram of these different indices showed a higher value in the south east part of the region suggesting that the heavy metal leaching from mining activities has little impact on the groundwater in the south east of the examined area. Multivariate statistical studies, like principal component analysis (PCA) analysis reveals that Fe, Pb, and Zn originate from anthropogenic sources like coal mining, while Al and Cd originate from both lithogenic and anthropogenic sources.
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利用金属污染指数多元分析和地理信息系统技术评估矿区周围地下水中的重金属污染物
露天和地下采煤都有可能对地下水的水量和水质产生负面影响。覆土堆和工业废物的沥滤液是世界范围内的另一个问题;它们渗入地下水,对地下水的质量产生负面影响。人们担心地下水会受到重金属污染。因此,在本研究中,我们在 2022 年季风季节(5 月)前从科尔巴煤田(KCF)附近的不同水源处系统地采集了地下水样本。利用 ICP-MS(电感耦合等离子体质谱仪-珀金埃尔默 Optima 4300 DV)仪器对采集的水样进行了 9 种不同重金属的检测。总体而言,铝、镉、铜、铁、铅和锌等几种金属的浓度远低于世界卫生组织(WHO)和印度标准局(BIS)标准的可接受范围,但在几个地点观察到锰、钡和镍的浓度高于世界卫生组织和印度标准局标准的理想范围,这与之前研究得出的结果相似。这些实验室数据被用于计算重金属污染指数,如重金属污染指数 (HPI)、重金属评估指数 (HEI) 和污染指数 (Cd)。采用多重方法评估金属指数后发现,地下水样本中 80% 的 HPI、85% 的 HEI 和 95% 的 Cd 大都属于 "中低 "级别。这些不同指数的空间图显示,该地区东南部的指数值较高,表明采矿活动造成的重金属沥滤对考察区东南部的地下水影响较小。多变量统计研究,如主成分分析 (PCA) 显示,铁、铅和锌的来源是人为的,如煤矿开采,而铝和镉的来源既有岩石来源,也有人为来源。
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来源期刊
Journal of Chemical Technology and Metallurgy
Journal of Chemical Technology and Metallurgy Engineering-Industrial and Manufacturing Engineering
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1.40
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