Ecological risk assessment of elemental accumulation under the impact of gold mine

被引:0
作者
M. Aydın
E. Tunca
机构
[1] Ordu University,Faculty of Marine Sciences
来源
International Journal of Environmental Science and Technology | 2022年 / 19卷
关键词
Heavy metal; Ordu; Black Sea; Mining area; Health risk; Sediment quality guidelines;
D O I
暂无
中图分类号
学科分类号
摘要
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.
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页码:7093 / 7112
页数:19
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  • [1] Abrahim GMS(2006)Distribution and assessment of sediment toxicity in Tamaki Estuary, Auckland, New Zealand Environ Geol 52 1315-1323
  • [2] Parker RJ(2011)Multivariate statistical and GIS-based approach to evaluate heavy metals behavior in mine sites for future reclamation J Geochem Explor 109 8-17
  • [3] Nichol SL(2016)Influence of small-scale gold mining and toxic element concentrations in Bonsa river, Ghana: a potential risk to water quality and public health Environ Earth Sci 75 178-18
  • [4] Acosta JA(2020)Sodium nitroprusside (SNP) improves tolerance to arsenic (As) toxicity in Vicia faba through the modifications of biochemical attributes, antioxidants, ascorbate-glutathione cycle and glyoxalase cycle Chemosphere 244 1-803
  • [5] Faz A(2020)Zinc oxide nanoparticles application alleviates arsenic (As) toxicity in soybean plants by restricting the uptake of as and modulating key biochemical attributes, antioxidant enzymes, ascorbate-glutathione cycle and glyoxalase system Plants 9 788-591
  • [6] Martínez-Martínez S(2020)Assessment of heavy metal pollution of soil-water-vegetative ecosystems associated with artisanal gold mining Soil Sediment Contam 29 581-3096
  • [7] Zornoza R(2016)Phytoavailability of lead altered by two Pelargonium cultivars grown on contrasting lead-spiked soils J Soils Sediments 16 23-553
  • [8] Carmona DM(2020)Heavy metal contamination prediction using ensemble model: case study of Bay sedimentation Australia J Hazard Mater 403 3084-175
  • [9] Affum AO(2018)Contamination levels and vertical distribution of trace metals with application of geochemical indices in the sediment cores of the Bizerte Lagoon-Ichkeul lake complex in northeastern Tunisia Arab J Geosci 11 546-143
  • [10] Dede SO(2017)Heavy metal pollution in soil associated with a large-scale cyanidation gold mining region in southeast of Jilin, China Environ Sci Pollut Res Int 24 156-503