IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i5p1677-d328428.html
   My bibliography  Save this article

Systematic Assessment of Health Risk from Metals in Surface Sediment of the Xiangjiang River, China

Author

Listed:
  • Huan Li

    (Institute of Environmental Science and Engineering, School of Metallurgy and Environment, Central South University, Changsha 410083, China
    Changsha Environmental Protection College, Changsha 410004, China)

  • Liyuan Chai

    (Institute of Environmental Science and Engineering, School of Metallurgy and Environment, Central South University, Changsha 410083, China
    Chinese National Engineering Research Center for Control & Treatment of Heavy Metal Pollution, Changsha 410083, China)

  • Zhihui Yang

    (Institute of Environmental Science and Engineering, School of Metallurgy and Environment, Central South University, Changsha 410083, China
    Chinese National Engineering Research Center for Control & Treatment of Heavy Metal Pollution, Changsha 410083, China)

  • Weichun Yang

    (Institute of Environmental Science and Engineering, School of Metallurgy and Environment, Central South University, Changsha 410083, China
    Chinese National Engineering Research Center for Control & Treatment of Heavy Metal Pollution, Changsha 410083, China)

  • Qi Liao

    (Institute of Environmental Science and Engineering, School of Metallurgy and Environment, Central South University, Changsha 410083, China
    Chinese National Engineering Research Center for Control & Treatment of Heavy Metal Pollution, Changsha 410083, China)

  • Zhe Cao

    (Changsha Environmental Protection College, Changsha 410004, China)

  • Yanchun Peng

    (Changsha Environmental Protection College, Changsha 410004, China)

Abstract

The common empirical screening method is limited to a preliminary screen target from vast elements for human health risk assessments. Here, an element screening procedure was developed for assessing the human health risk of the elements in the sediment of the Xiangjiang River. Ninety-six surface sediment samples from eight sampling stations were collected and 27 elements of each sample were investigated. Thirteen of the 27 elements were screened for human health risk assessments through the three-run selections by calculating anthropogenic factors, building element maps, and the removal of unnecessary elements. Pb posed the greatest health risk and exhibited a potential noncarcinogenic risk for adults at the stations S4 and S5, although no visible noncarcinogenic and carcinogenic risk for adults and children in the Xiangjiang River. Our study also suggested that the chalcophile elements were associated with greater health risk, compared to the lithophile and siderophile ones.

Suggested Citation

  • Huan Li & Liyuan Chai & Zhihui Yang & Weichun Yang & Qi Liao & Zhe Cao & Yanchun Peng, 2020. "Systematic Assessment of Health Risk from Metals in Surface Sediment of the Xiangjiang River, China," IJERPH, MDPI, vol. 17(5), pages 1-17, March.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:5:p:1677-:d:328428
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/5/1677/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/5/1677/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fei Li & Zhenzhen Qiu & Jingdong Zhang & Wenchu Liu & Chaoyang Liu & Guangming Zeng, 2017. "Investigation, Pollution Mapping and Simulative Leakage Health Risk Assessment for Heavy Metals and Metalloids in Groundwater from a Typical Brownfield, Middle China," IJERPH, MDPI, vol. 14(7), pages 1-17, July.
    2. Marina M. S. Cabral Pinto & Paula Marinho-Reis & Agostinho Almeida & Edgar Pinto & Orquídia Neves & Manuela Inácio & Bianca Gerardo & Sandra Freitas & Mário R. Simões & Pedro A. Dinis & Luísa Diniz & , 2019. "Links between Cognitive Status and Trace Element Levels in Hair for an Environmentally Exposed Population: A Case Study in the Surroundings of the Estarreja Industrial Area," IJERPH, MDPI, vol. 16(22), pages 1-20, November.
    3. Alan Lee & Bobby Willcox, 2014. "Minkowski Generalizations of Ward’s Method in Hierarchical Clustering," Journal of Classification, Springer;The Classification Society, vol. 31(2), pages 194-218, July.
    4. Marina M. S. Cabral Pinto & Eduardo A. Ferreira da Silva, 2018. "Heavy Metals of Santiago Island (Cape Verde) Alluvial Deposits: Baseline Value Maps and Human Health Risk Assessment," IJERPH, MDPI, vol. 16(1), pages 1-12, December.
    5. Libo Pan & Guangling Fang & Yue Wang & Lei Wang & Benying Su & Dan Li & Bao Xiang, 2018. "Potentially Toxic Element Pollution Levels and Risk Assessment of Soils and Sediments in the Upstream River, Miyun Reservoir, China," IJERPH, MDPI, vol. 15(11), pages 1-17, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Elżbieta Skorbiłowicz & Mirosław Skorbiłowicz & Urszula Tarasiuk & Magdalena Korzińska, 2021. "Cadmium, Chromium, and Cobalt in the Organs of Glyceria maxima and Bottom Sediments of the Pisa River and Its Tributaries (Poland)," IJERPH, MDPI, vol. 18(19), pages 1-18, September.
    2. Shengnan Zhu & Zengchuan Dong & Bohua Yang & Guangen Zeng & Yupeng Liu & Yuejiao Zhou & Jinyu Meng & Shujun Wu & Yiqing Shao & Junfei Yang & Xiao Guo, 2022. "Spatial Distribution, Source Identification, and Potential Ecological Risk Assessment of Heavy Metal in Surface Sediments from River-Reservoir System in the Feiyun River Basin, China," IJERPH, MDPI, vol. 19(22), pages 1-17, November.

    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. Bianca Gerardo & Marina Cabral Pinto & Joana Nogueira & Paula Pinto & Agostinho Almeida & Edgar Pinto & Paula Marinho-Reis & Luísa Diniz & Paula I. Moreira & Mário R. Simões & Sandra Freitas, 2020. "Associations between Trace Elements and Cognitive Decline: An Exploratory 5-Year Follow-Up Study of an Elderly Cohort," IJERPH, MDPI, vol. 17(17), pages 1-18, August.
    2. Abdur Rashid & Muhammad Ayub & Zahid Ullah & Asmat Ali & Seema Anjum Khattak & Liaqat Ali & Xubo Gao & Chengcheng Li & Sardar Khan & Hamed A. El-Serehy & Prashant Kaushik, 2022. "Geochemical Modeling Source Provenance, Public Health Exposure, and Evaluating Potentially Harmful Elements in Groundwater: Statistical and Human Health Risk Assessment (HHRA)," IJERPH, MDPI, vol. 19(11), pages 1-28, May.
    3. Siyoon Kwon & Hyoseob Noh & Il Won Seo & Sung Hyun Jung & Donghae Baek, 2021. "Identification Framework of Contaminant Spill in Rivers Using Machine Learning with Breakthrough Curve Analysis," IJERPH, MDPI, vol. 18(3), pages 1-26, January.
    4. Fei Li & Zhenzhen Qiu & Jingdong Zhang & Chaoyang Liu & Ying Cai & Minsi Xiao, 2017. "Spatial Distribution and Fuzzy Health Risk Assessment of Trace Elements in Surface Water from Honghu Lake," IJERPH, MDPI, vol. 14(9), pages 1-18, September.
    5. Lei Tang & Yiyue Zhang & Shuai Ma & Changchun Yan & Huanhuan Geng & Guoqing Yu & Hongbing Ji & Fei Wang, 2021. "Potentially Toxic Element Contaminations and Lead Isotopic Fingerprinting in Soils and Sediments from a Historical Gold Mining Site," IJERPH, MDPI, vol. 18(20), pages 1-18, October.
    6. Hossein Baloochian & Hamid Reza Ghaffary, 2019. "Multiclass Classification Based on Multi-criteria Decision-making," Journal of Classification, Springer;The Classification Society, vol. 36(1), pages 140-151, April.
    7. Vladimir Shepelev & Alexandr Glushkov & Olga Fadina & Aleksandr Gritsenko, 2022. "Comparative Evaluation of Road Vehicle Emissions at Urban Intersections with Detailed Traffic Dynamics," Mathematics, MDPI, vol. 10(11), pages 1-19, May.

    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:17:y:2020:i:5:p:1677-:d:328428. 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.