会议论文详细信息
2018 9th International Conference on Environmental Science and Technology
Geographical Distribution and Risk Assessment of Heavy Metals in Nearby River of Heap Bioleaching Plant: A Case Study At the Zijin Copper Mine, China
生态环境科学
Zhang, Mingjiang^1 ; Sun, Minjie^2 ; Liu, Xingyu^1 ; Li, Yibin^1 ; Yan, Xiao^1
National Engineering Laboratory of Biohydrometallurgy, GRIMAT Engineering Institute Co., Ltd. (GRIMAT), No. 11 XingKeDongda Str., Huairou District, Beijing
101407, China^1
China Certification and Accreditation Institute, A10 Chaowai Street, Beijing
100020, China^2
关键词: Environmental pollutions;    Geo-accumulation index;    Heavy metal pollution;    High-throughput sequencing;    Microbial biomass;    Microbial composition;    People's Republic of China;    Physico-chemical analysis;   
Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/182/1/012005/pdf
DOI  :  10.1088/1755-1315/182/1/012005
学科分类:环境科学(综合)
来源: IOP
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【 摘 要 】

The Zijin heap bioleaching plant was operated at the end of 2005. Concerns about the potential risk of environmental pollution from heap bioleaching plant arise due to the proximity to the Ting River. In this study, a physicochemical analysis, a geo-accumulation index and a high throughput sequencing technology were applied to determine heavy metals, assess the extent of heavy metal pollution, and research the effect of the heap bioleaching plant on the microbes, respectively. Results showed that the heap bioleaching plant had significant influence on the distribution of S, Pb and Cu and no significant influence on the distribution of As, Fe and Cr. Most of the water samples reached the third class standard of the People's Republic of China for surface water and individual water samples were above the fifth class standard of the People's Republic of China for surface water (GB3838-2002) because of As. The heap bioleaching plant had some effect on the microbial biomass, diversity and the microbial composition. However, the effect on the microbial biomass and diversity were not significant.

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