Distribution and risk assessment of toxic metal pollution in the soil and sediment around the copper mine

IF 1.3 Q4 ENVIRONMENTAL SCIENCES
Fatemeh Ganjeizadeh Rohani, N. Mohamadi
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引用次数: 0

Abstract

Background: Industrial pollution of metals is a serious environmental concern. The presence of Sarcheshmeh copper (Cu) mine and the possibility of soil pollution, were the primary motivations for evaluating heavy metals in this area. Methods: A total of 171 soil and 10 sediment samples were collected randomly from the study area for Cu, aluminum (Al), molybdenum (Mo), lead (Pb), and cadmium (Cd) determination. The USEPA method was used to acid digest soil samples, and metals present in the samples were detected using atomic absorption spectroscopy. Results: By measuring metal concentrations and calculating the geo-accumulation index (Igeo), enrichment factor (EF), and contamination factor (CF), the level of soil pollution by metals was assessed. It was found that soil and sediment samples were contaminated with Cu and the pollution decreased from the mine to Rafsanjan city, indicating that the pollution was anthropogenic. The soil has not been poisoned by Al or non-natural states because it was alkaline. Sediment samples were less than moderately polluted by Mo and Pb, but Cd and Cu were more problematic. Conclusion: Increasing the distance from the Cu mine resulted in a decrease in toxic metal concentration. The study concludes that by monitoring and filtering wastewater from the Cu mine, pollution caused by trace elements in the soil can be greatly reduced.
铜矿周边土壤沉积物中有毒金属污染分布及风险评价
背景:工业金属污染是一个严重的环境问题。Sarcheshmeh铜矿的存在和土壤污染的可能性是对该地区重金属进行评价的主要动机。方法:随机抽取研究区171份土壤样品和10份沉积物样品,进行铜、铝(Al)、钼(Mo)、铅(Pb)、镉(Cd)测定。采用USEPA法对土壤样品进行酸消化,并用原子吸收光谱法对样品中的金属进行检测。结果:通过测定土壤金属浓度,计算土壤富集指数(Igeo)、富集因子(EF)和污染因子(CF),评价土壤金属污染水平。结果表明,矿区土壤和沉积物样品均受到铜的污染,且从矿区到拉夫桑詹市的污染程度逐渐降低,表明污染是人为造成的。土壤没有受到人工智能或非自然状态的毒害,因为它是碱性的。沉积物样品中Mo和Pb的污染程度低于中度,而Cd和Cu的污染更为严重。结论:离铜矿越远,毒性金属浓度越低。研究认为,通过对铜矿山废水进行监测和过滤,可以大大减少土壤中微量元素的污染。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.40
自引率
37.50%
发文量
17
审稿时长
12 weeks
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