IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i12p5333-d1675149.html
   My bibliography  Save this article

Distribution Patterns and Water-Level-Driven Evolution Mechanisms of Arsenic in Shallow Groundwater in the Lower Yellow River

Author

Listed:
  • Suhua Meng

    (Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Science, Xiamen 361021, China
    Key Laboratory of Groundwater Contamination and Remediation, Hebei Province & China Geological Survey, Shijiazhuang 050061, China)

  • Xiangquan Li

    (Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Science, Xiamen 361021, China
    Key Laboratory of Groundwater Contamination and Remediation, Hebei Province & China Geological Survey, Shijiazhuang 050061, China)

  • Xueqing Zhang

    (Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Science, Xiamen 361021, China
    Key Laboratory of Groundwater Contamination and Remediation, Hebei Province & China Geological Survey, Shijiazhuang 050061, China)

  • Xiangxiang Cui

    (Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Science, Xiamen 361021, China
    Key Laboratory of Groundwater Contamination and Remediation, Hebei Province & China Geological Survey, Shijiazhuang 050061, China)

  • Jinli Cui

    (Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, School of Environmental Science and Engineering, Guangzhou University, Guangzhou 510006, China)

  • Chen Su

    (Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Science, Xiamen 361021, China)

  • Yuhong Fei

    (Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Science, Xiamen 361021, China
    Key Laboratory of Groundwater Contamination and Remediation, Hebei Province & China Geological Survey, Shijiazhuang 050061, China)

  • Shan Lei

    (Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Science, Xiamen 361021, China
    Key Laboratory of Groundwater Contamination and Remediation, Hebei Province & China Geological Survey, Shijiazhuang 050061, China)

  • Kun Liu

    (Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Science, Xiamen 361021, China
    Key Laboratory of Groundwater Contamination and Remediation, Hebei Province & China Geological Survey, Shijiazhuang 050061, China)

Abstract

Due to the lack of research on the temporal variation in As in the lower Yellow River and the extreme rainfall during the 2021 rainy season, this study aimed to investigate the As distribution patterns and their evolution driven by water level changes. Principal component analysis (PCA) revealed that As mobilization was predominantly controlled by redox conditions and mineral dissolution/desorption processes. The distribution of high-As water exhibited significant spatial variability, mainly located in the alluvial fan plain (14.97 μg/L) and marine-alluvial plain (22.5 μg/L). The average As concentrations in the study area decreased by 3.78 μg/L(11.55 μg/L in May and 7.77 μg/L in September). High-As groundwater was highly sensitive to water level fluctuations, while low-As groundwater was less affected. In the alluvial fan plain, As decreased with a 0–2 m groundwater level rise but increased when the level exceeded 4 m. A sedimentary zone–As distribution–water level sensitivity response model was proposed, which provides important reference value for developing groundwater exploitation and utilization plans.

Suggested Citation

  • Suhua Meng & Xiangquan Li & Xueqing Zhang & Xiangxiang Cui & Jinli Cui & Chen Su & Yuhong Fei & Shan Lei & Kun Liu, 2025. "Distribution Patterns and Water-Level-Driven Evolution Mechanisms of Arsenic in Shallow Groundwater in the Lower Yellow River," Sustainability, MDPI, vol. 17(12), pages 1-20, June.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:12:p:5333-:d:1675149
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/12/5333/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/17/12/5333/
    Download Restriction: no
    ---><---

    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:jsusta:v:17:y:2025:i:12:p:5333-:d:1675149. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.