Trace metal contamination status in soils of the abandoned gold mining district of Bindiba (East Cameroon): Pollution indices assessment, multivariate analysis and; geostatistical approach

IF 3 4区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL
Martin Mozer Njayou, Mouhamed Ngounouno Ayiwouo, Ismaila Ngounouno
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引用次数: 1

Abstract

Abstract

In this study, contamination by trace metals (TMs) such as Cr, Ni, Cu, As, Pb and Sb in the soils of the Bindiba mining district was assessed. This study aims to reveal the current status of the soil quality of the abandoned gold mining district of Bindiba and provide a scientific basis for its future remediation and overall management. 89 soil samples were systematically collected and characterized in order to determine the concentration of TMs (Cr, Ni, Cu, As, Pb and Sb). To assess the degree of metallic contamination, pollution indices were employed. Both multivariate statistical analysis (MSA) and geostatistical modelling (GM) were used to identify the potential sources of TMs elements and to determine the values of the modified contamination degree (mCd), the Nemerow Pollution Index (NPI) and the potential ecological risk index (RI) at un-sampled points. The results of trace metals (TMEs) characterization showed that the concentration of Cr, Ni, Cu, As, Pb and Sb ranged from 22.15–442.44 mg/kg, 9.25–360.37 mg/kg, 1.28–320.86 mg/kg, 0–46.58 mg/kg, 0–53.27 mg/kg and 0–6.33 mg/kg, respectively. The mean concentration of Cr, Cu and Ni exceeds the continental geochemical background values. The Enrichment Factor (EF) assessment indicates two categories of enrichment: moderately to extremely enrichment for Cr, Ni, and Cu and deficiency to minimal enrichment of Pb, As and Sb. Multivariate statistical analysis shows weak linear correlations between the studied heavy metals and suggests that these metals could not come from the same origins. The geostatistical modelling based on the values of mCd, NI and RI suggests a potential high pollution risk existed in the study area. The mCd, NPI and RI interpolation maps showed that the Northern part of the gold mining district was characterized by a high degree of contamination, heavy pollution, and considerable ecological risk. The dispersion of TMs in soils could mainly be attributed to anthropogenic activities and natural phenomena (chemical weathering or erosion). Appropriate measures should be taken to manage and remediate the TMs pollution in this abandoned gold mining district in order to reduce its negative effects on the environment and health of the local population.

Abstract Image

喀麦隆东部Bindiba金矿废弃地土壤痕量金属污染现状:污染指数评价、多变量分析与分析地质统计学方法
摘要本研究对Bindiba矿区土壤中Cr、Ni、Cu、as、Pb、Sb等微量金属的污染进行了评价。本研究旨在揭示滨地坝金矿废弃地土壤质量现状,为今后的修复和综合治理提供科学依据。对89个土壤样品进行了系统表征,测定了TMs (Cr、Ni、Cu、As、Pb和Sb)的浓度。采用污染指数评价金属污染程度。采用多变量统计分析(MSA)和地质统计建模(GM)方法,确定了未采样点的修正污染程度(mCd)、Nemerow污染指数(NPI)和潜在生态风险指数(RI)。微量金属(TMEs)表征结果表明,Cr、Ni、Cu、As、Pb和Sb的浓度范围分别为22.15 ~ 442.44 mg/kg、9.25 ~ 360.37 mg/kg、1.28 ~ 320.86 mg/kg、0 ~ 46.58 mg/kg、0 ~ 53.27 mg/kg和0 ~ 6.33 mg/kg。Cr、Cu和Ni的平均浓度超过大陆地球化学背景值。富集因子(EF)评价结果表明,该地区Cr、Ni、Cu的富集程度为中度至极富集,Pb、As、Sb的富集程度为微量富集。多元统计分析结果表明,各重金属之间存在弱线性相关性,表明这些重金属不可能来自同一来源。基于mCd、NI和RI值的地质统计模型表明,研究区存在潜在的高污染风险。mCd、NPI和RI插值图显示,金矿区北部污染程度高、污染重,生态风险较大。TMs在土壤中的分散主要归因于人为活动和自然现象(化学风化或侵蚀)。应采取适当措施,管理和补救这一废弃金矿区的TMs污染,以减少其对环境和当地居民健康的负面影响。
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来源期刊
Journal of Environmental Health Science and Engineering
Journal of Environmental Health Science and Engineering ENGINEERING, ENVIRONMENTAL-ENVIRONMENTAL SCIENCES
CiteScore
7.50
自引率
2.90%
发文量
81
期刊介绍: Journal of Environmental Health Science & Engineering is a peer-reviewed journal presenting timely research on all aspects of environmental health science, engineering and management. A broad outline of the journal''s scope includes: -Water pollution and treatment -Wastewater treatment and reuse -Air control -Soil remediation -Noise and radiation control -Environmental biotechnology and nanotechnology -Food safety and hygiene
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