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Ecological risk assessment of elemental accumulation under the impact of gold mine
International Journal of Environmental Science and Technology ( IF 3.1 ) Pub Date : 2021-09-06 , DOI: 10.1007/s13762-021-03632-4
M. Aydın 1 , E. Tunca 1
Affiliation  

The study was performed to investigate the impact of gold mine, which has been operated near the district of Fatsa (Turkey) where 10% of the world hazelnut production is performed. Within the scope of the study, sediment samples were collected from 29 locations throughout Fatsa, especially around the gold mine. The samples were analyzed through multi-statistical approaches together with the sediment assessment methods for 13 elements (Mo, Cu, Pb, Zn, Ni, Co, Mn, Fe, Cd, Cr, Al, Hg, As) and the ecological risk status was calculated. Cluster analysis clustered the samples, which had been collected from the mining site in a single cluster, clearly separating them from other samples. The emphasis was put particularly on Pb, As, Cd, and Hg, which have high toxic effects, in the methods for the assessment of sediment. Sixty-three percent of the contamination factor values are in the “very high contamination” class; 80% of the enrichment factor values are at the “significant and very high enrichment” levels around the mine. Based on the values of pollution load index, all locations are at the deterioration level. Based on the potential ecological risk factor calculations, it has been detected that Hg is at the “very high potential ecological risk” level, which is the highest risk level in 5 of 8 locations around the mine. Besides, the potential ecological risk index calculated that 7 of these 8 locations are at the “very high potential ecological risk” level, which is the highest level regarding the ecological risk.



中文翻译:

金矿影响下元素积累的生态风险评估

进行这项研究是为了调查金矿的影响,该金矿在法萨(土耳其)地区附近运营,世界榛子产量的 10% 都在该地区进行。在研究范围内,从整个 Fatsa 的 29 个地点收集了沉积物样本,尤其是在金矿周围。样品通过多统计方法结合沉积物评估方法对 13 种元素(Mo、Cu、Pb、Zn、Ni、Co、Mn、Fe、Cd、Cr、Al、Hg、As)和生态风险状况进行分析被计算。聚类分析将从采矿现场收集的样本聚集在一个聚类中,将它们与其他样本清楚地分开。在沉积物评估方法中,重点特别放在具有高毒性作用的 Pb、As、Cd 和 Hg。63% 的污染因子值属于“非常高污染”等级;80% 的富集因子值处于矿山周围“显着和非常高的富集”水平。根据污染负荷指数值,所有地点都处于恶化水平。根据潜在生态风险因子计算,检测到汞处于“非常高的潜在生态风险”级别,是矿山周围 8 个地点中 5 个的最高风险级别。此外,潜在生态风险指数计算得出,这8个地点中有7个处于“非常高的潜在生态风险”级别,是生态风险的最高级别。80% 的富集因子值处于矿山周围“显着和非常高的富集”水平。根据污染负荷指数值,所有地点都处于恶化水平。根据潜在生态风险因子计算,检测到汞处于“非常高的潜在生态风险”级别,是矿山周围 8 个地点中 5 个地点的最高风险级别。此外,潜在生态风险指数计算得出,这8个地点中有7个处于“非常高的潜在生态风险”级别,是生态风险的最高级别。80% 的富集因子值处于矿山周围“显着和非常高的富集”水平。根据污染负荷指数值,所有地点都处于恶化水平。根据潜在生态风险因子计算,检测到汞处于“非常高的潜在生态风险”级别,是矿山周围 8 个地点中 5 个地点的最高风险级别。此外,潜在生态风险指数计算得出,这8个地点中有7个处于“非常高的潜在生态风险”级别,是生态风险的最高级别。已检测到汞处于“非常高的潜在生态风险”级别,是矿山周围 8 个地点中 5 个地点的最高风险级别。此外,潜在生态风险指数计算得出,这8个地点中有7个处于“非常高的潜在生态风险”级别,是生态风险的最高级别。已检测到汞处于“非常高的潜在生态风险”级别,是矿山周围 8 个地点中 5 个地点的最高风险级别。此外,潜在生态风险指数计算得出,这8个地点中有7个处于“非常高的潜在生态风险”级别,是生态风险的最高级别。

更新日期:2021-09-07
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