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Characteristics and Assessment of Toxic Metal Contamination in Surface Water and Sediments Near a Uranium Mining Area

Author

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  • Ling Yi

    (State Key Laboratory of Nuclear Resources and Environment, College of Water Resources and Environmental Engineering, East China University of Technology, Nanchang 330013, China)

  • Bai Gao

    (State Key Laboratory of Nuclear Resources and Environment, College of Water Resources and Environmental Engineering, East China University of Technology, Nanchang 330013, China)

  • Haiyan Liu

    (State Key Laboratory of Nuclear Resources and Environment, College of Water Resources and Environmental Engineering, East China University of Technology, Nanchang 330013, China)

  • Yanhong Zhang

    (State Key Laboratory of Nuclear Resources and Environment, College of Water Resources and Environmental Engineering, East China University of Technology, Nanchang 330013, China)

  • Chaochao Du

    (State Key Laboratory of Nuclear Resources and Environment, College of Water Resources and Environmental Engineering, East China University of Technology, Nanchang 330013, China)

  • Yanmei Li

    (State Key Laboratory of Nuclear Resources and Environment, College of Water Resources and Environmental Engineering, East China University of Technology, Nanchang 330013, China)

Abstract

Concentrations of potentially toxic metals including Cd, Cu, Pb, Cr, U, Th in surface water and sediment samples collected from a river were analyzed to assess the contaminations, distribution characteristics, and sources of these metals. The contents of the metals were lower than the standard levels set by World Health Organization (WHO) for drinking water. However, U and Th contents were far beyond the background values of surface water. The concentrations of Cd, Cr, and U in sediments were higher than the background values and the Probable Effect Level (PEL) of sediment quality guidelines (SQGs) which may result in high potential harmful biological effects to aquatic ecosystems. Based on the contamination factor (CF), geo-accumulation index (I geo ), and potential ecological risk index (RI), Cd, Cr, and U were considered to be the metals that mainly contribute to the contamination of sediments. The calculation results also indicated that the sites adjacent to the uranium ore field were highly polluted. Results of cluster analysis, principal component analysis, and correlation analysis revealed that Cr, Pb, U, and Th were highly correlated with each other. These metals mainly originated from both anthropogenic sources and natural processes, especially emissions from uranium mining and quarrying, whereas Cd mostly came from anthropogenic sources (agricultural activities) of the upper reaches of the river.

Suggested Citation

  • Ling Yi & Bai Gao & Haiyan Liu & Yanhong Zhang & Chaochao Du & Yanmei Li, 2020. "Characteristics and Assessment of Toxic Metal Contamination in Surface Water and Sediments Near a Uranium Mining Area," IJERPH, MDPI, vol. 17(2), pages 1-13, January.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:2:p:548-:d:308884
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    References listed on IDEAS

    as
    1. Liu He & Bai Gao & Xin Luo & Jimmy Jiao & Huanhuan Qin & Chunyan Zhang & Yihui Dong, 2018. "Health Risk Assessment of Heavy Metals in Surface Water near a Uranium Tailing Pond in Jiangxi Province, South China," Sustainability, MDPI, vol. 10(4), pages 1-12, April.
    2. Na Wang & Jichang Han & Yang Wei & Gang Li & Yingying Sun, 2019. "Potential Ecological Risk and Health Risk Assessment of Heavy Metals and Metalloid in Soil around Xunyang Mining Areas," Sustainability, MDPI, vol. 11(18), pages 1-16, September.
    3. Jingwen Tang & Liyuan Chai & Huan Li & Zhihui Yang & Weichun Yang, 2018. "A 10-Year Statistical Analysis of Heavy Metals in River and Sediment in Hengyang Segment, Xiangjiang River Basin, China," Sustainability, MDPI, vol. 10(4), pages 1-28, April.
    4. Olivier Pourret & Andrew Hursthouse, 2019. "It’s Time to Replace the Term “Heavy Metals” with “Potentially Toxic Elements” When Reporting Environmental Research," IJERPH, MDPI, vol. 16(22), pages 1-6, November.
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