IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i4p1870-d499573.html
   My bibliography  Save this article

Pollution Distribution of Potentially Toxic Elements in a Karstic River Affected by Manganese Mining in Changyang, Western Hubei, Central China

Author

Listed:
  • Zhao Liu

    (Institute of Geological Survey, China University of Geosciences, Wuhan 430074, China)

  • Ye Kuang

    (Institute of Geological Survey, China University of Geosciences, Wuhan 430074, China)

  • Shengtao Lan

    (Institute of Geological Survey, China University of Geosciences, Wuhan 430074, China)

  • Wenjia Cao

    (Institute of Geological Survey, China University of Geosciences, Wuhan 430074, China)

  • Ziqi Yan

    (Institute of Geological Survey, China University of Geosciences, Wuhan 430074, China)

  • Li Chen

    (Institute of Geological Survey, China University of Geosciences, Wuhan 430074, China)

  • Qianlong Chen

    (Institute of Geological Survey, China University of Geosciences, Wuhan 430074, China)

  • Qi Feng

    (Institute of Geological Survey, China University of Geosciences, Wuhan 430074, China)

  • Hong Zhou

    (Institute of Geological Survey, China University of Geosciences, Wuhan 430074, China)

Abstract

This study investigated the distribution, pollution level and potential ecological risk of potentially toxic elements (PTEs) from manganese mining in a karstic Danshui River, in Changyang, Western Hubei, Central China. River water and sediments were collected for seven PTEs measurement (As, Cd, Cr, Cu, Mn, Pb and Zn), as well as pH and Eh of the river water were measured. Results showed that the major pollutant was Mn, the river water environment was mainly acidic and oxidizing (288 < Eh, pH < 6.3), and the pollution distribution of Mn in the study area was dominated by the combination of natural processes and anthropogenic activities. In the river water, according to the contamination factor (CF) and pollution load index (I PL ) results, Mn was considered the main pollutant. There was low As and Pb pollution downstream as well as Cu pollution upstream. Upstream and downstream areas were the main polluted river sections of the river water samples collected. In river sediments, based on the results of the geo-accumulation index (I geo ) and potential ecological risk index (I PER ), it was determined that there was only considerable Mn pollution. The I PER of the PTEs from the river sediments was at acceptable levels, only Mn upstream performed at a moderate ecological risk level. According to Pearson correlation and principal component analysis, Mn originated from manganese mining activities, Cd, Cr and Zn were of natural origin, and Cu may have come from both mining and natural origin, whereas Pb and As were mainly related to the daily activities. Consequently, elemental speciation, mining activities and the distribution of water conservancy facilities were the main impacts of PET pollution distribution in this river.

Suggested Citation

  • Zhao Liu & Ye Kuang & Shengtao Lan & Wenjia Cao & Ziqi Yan & Li Chen & Qianlong Chen & Qi Feng & Hong Zhou, 2021. "Pollution Distribution of Potentially Toxic Elements in a Karstic River Affected by Manganese Mining in Changyang, Western Hubei, Central China," IJERPH, MDPI, vol. 18(4), pages 1-15, February.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:4:p:1870-:d:499573
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/4/1870/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/4/1870/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiufeng Han & Xinwei Lu & Qinggeletu & Yongfu Wu, 2017. "Health Risks and Contamination Levels of Heavy Metals in Dusts from Parks and Squares of an Industrial City in Semi-Arid Area of China," IJERPH, MDPI, vol. 14(8), pages 1-12, August.
    2. Feng Jiang & Bozhi Ren & Andrew S. Hursthouse & Yingying Zhou, 2018. "Trace Metal Pollution in Topsoil Surrounding the Xiangtan Manganese Mine Area (South-Central China): Source Identification, Spatial Distribution and Assessment of Potential Ecological Risks," IJERPH, MDPI, vol. 15(11), pages 1-16, October.
    3. Xin Luo & Bozhi Ren & Andrew S. Hursthouse & Jonathan R. M. Thacker & Zhenghua Wang, 2020. "Soil from an Abandoned Manganese Mining Area (Hunan, China): Significance of Health Risk from Potentially Toxic Element Pollution and Its Spatial Context," IJERPH, MDPI, vol. 17(18), pages 1-15, September.
    4. Fang Shen & Longjiang Mao & Runxia Sun & Jijing Du & Zhihai Tan & Min Ding, 2019. "Contamination Evaluation and Source Identification of Heavy Metals in the Sediments from the Lishui River Watershed, Southern China," IJERPH, MDPI, vol. 16(3), pages 1-14, January.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yujie Pan & Hongxia Peng & Shuyun Xie & Min Zeng & Changsheng Huang, 2019. "Eight Elements in Soils from a Typical Light Industrial City, China: Spatial Distribution, Ecological Assessment, and the Source Apportionment," IJERPH, MDPI, vol. 16(14), pages 1-17, July.
    2. Qing Ma & Lina Han & Jiquan Zhang & Yichen Zhang & Qiuling Lang & Fengxu Li & Aru Han & Yongbin Bao & Kaiwei Li & Si Alu, 2019. "Environmental Risk Assessment of Metals in the Volcanic Soil of Changbai Mountain," IJERPH, MDPI, vol. 16(11), pages 1-17, June.
    3. Guangjie Zhao & Xianqing Li & Jiewang Zhu & Xueyan Zhao & Jizhen Zhang & Jia Zhai, 2021. "Pollution Assessment of Potentially Toxic Elements (PTEs) in Soils around the Yanzhuang Gold Mine Tailings Pond, Pinggu County, Beijing, China," IJERPH, MDPI, vol. 18(14), pages 1-16, July.
    4. Luigi Gallini & Andrew Hursthouse & Antonio Scopa, 2021. "Development and Validation of a Box and Flux Model to Describe Major, Trace and Potentially Toxic Elements (PTEs) in Scottish Soils," IJERPH, MDPI, vol. 18(17), pages 1-17, August.
    5. Cris Edward F. Monjardin & Christopher Power & Delia B. Senoro, 2023. "Spatio-Temporal Assessment of Manganese Contamination in Relation to River Morphology: A Study of the Boac and Mogpog Rivers in Marinduque, Philippines," Sustainability, MDPI, vol. 15(10), pages 1-26, May.
    6. Jiajia Fan & Li Deng & Weili Wang & Xiu Yi & Zhiping Yang, 2022. "Contamination, Source Identification, Ecological and Human Health Risks Assessment of Potentially Toxic-Elements in Soils of Typical Rare-Earth Mining Areas," IJERPH, MDPI, vol. 19(22), pages 1-17, November.
    7. Liang Xiao & Yong Zhou & He Huang & Yu-Jie Liu & Ke Li & Meng-Yao Li & Yang Tian & Fei Wu, 2020. "Application of Geostatistical Analysis and Random Forest for Source Analysis and Human Health Risk Assessment of Potentially Toxic Elements (PTEs) in Arable Land Soil," IJERPH, MDPI, vol. 17(24), pages 1-19, December.
    8. Jaskaran Kaur & Sartaj Ahmad Bhat & Navdeep Singh & Sandip Singh Bhatti & Varinder Kaur & Jatinder Kaur Katnoria, 2022. "Assessment of the Heavy Metal Contamination of Roadside Soils Alongside Buddha Nullah, Ludhiana, (Punjab) India," IJERPH, MDPI, vol. 19(3), pages 1-24, January.
    9. Xinchun Liu & Yongde Kang & Hongna Chen & Hui Lu, 2021. "Application of a High-Precision Aeolian Sand Collector in Field Wind and Sand Surveys," IJERPH, MDPI, vol. 18(14), pages 1-19, July.
    10. Sonnia Parra & Hanns de la Fuente-Mella & Andrea González-Rojas & Manuel A. Bravo, 2024. "Exposure to Environmental Pollution in Schools of Puchuncaví, Chile: Characterization of Heavy Metals, Health Risk Assessment, and Effects on Children’s Academic Performance," Sustainability, MDPI, vol. 16(6), pages 1-31, March.
    11. Xiaoqian Li & Yaning Tang & Xinghua Wang & Xiaodong Song & Jiaxue Yang, 2023. "Heavy Metals in Soil around a Typical Antimony Mine Area of China: Pollution Characteristics, Land Cover Influence and Source Identification," IJERPH, MDPI, vol. 20(3), pages 1-14, January.
    12. Fei Li & Minsi Xiao & Jingdong Zhang & Chaoyang Liu & Zhenzhen Qiu & Ying Cai, 2018. "Spatial Distribution, Chemical Fraction and Fuzzy Comprehensive Risk Assessment of Heavy Metals in Surface Sediments from the Honghu Lake, China," IJERPH, MDPI, vol. 15(2), pages 1-17, January.
    13. Ranjna Kaundal & Vipin Parkash & Supriti Paul & Meghna Thapa, 2023. "Synergism of plant microbe interactions for remediation of potentially toxic elements," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 69(4), pages 127-143.
    14. Michael J. O’Shea & Jonas Toupal & Hasibe Caballero-Gómez & Thomas P. McKeon & Marilyn V. Howarth & Richard Pepino & Reto Gieré, 2021. "Lead Pollution, Demographics, and Environmental Health Risks: The Case of Philadelphia, USA," IJERPH, MDPI, vol. 18(17), pages 1-22, August.
    15. Fangcai Zhu & Zhijia Yang & Qing Liu & Yanlin Zhao & Binbin Wu & Shaolong Zhang & Qi Chen & Yifan Chen & Rui Luo, 2023. "Experimental Study on Pile Load Transfer Considering Rice Stone Filled-In Gaps between Steel Drive Pipe and Pile Casing in Karst Region," Sustainability, MDPI, vol. 15(20), pages 1-17, October.
    16. Giovanni Gallo & Rosanna Puopolo & Miriam Carbonaro & Emanuela Maresca & Gabriella Fiorentino, 2021. "Extremophiles, a Nifty Tool to Face Environmental Pollution: From Exploitation of Metabolism to Genome Engineering," IJERPH, MDPI, vol. 18(10), pages 1-24, May.
    17. Shiyi Chen & Cunyong Ju & Yang Du & Tianqi Mu & Tijiu Cai, 2023. "Differences in the removal efficiency of heavy metals in soils with different vegetation backgrounds along the China-Russia crude oil pipeline," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 69(12), pages 628-639.
    18. Xin Luo & Bozhi Ren & Andrew S. Hursthouse & Jonathan R. M. Thacker & Zhenghua Wang, 2020. "Soil from an Abandoned Manganese Mining Area (Hunan, China): Significance of Health Risk from Potentially Toxic Element Pollution and Its Spatial Context," IJERPH, MDPI, vol. 17(18), pages 1-15, September.
    19. Nargiza Kavsar & Mamattursun Eziz & Nazupar Sidikjan, 2023. "Pollution and Health Risk Assessment of Hazardous Elements in Surface Dust along an Urbanization Gradient," Sustainability, MDPI, vol. 15(15), pages 1-13, August.
    20. Xiuyun Yang & Mamattursun Eziz & Adila Hayrat & Xiaofei Ma & Wei Yan & Kaixuan Qian & Jiaxin Li & Yuan Liu & Yifan Wang, 2022. "Heavy Metal Pollution and Risk Assessment of Surface Dust in the Arid NW China," IJERPH, MDPI, vol. 19(20), pages 1-21, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:4:p:1870-:d:499573. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.