IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v14y2025i2p210-d1572511.html
   My bibliography  Save this article

Regional Differences in the Impact of Land Use Pattern on Total Phosphorus Concentration in the Yangtze River Basin

Author

Listed:
  • Fuliang Deng

    (School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China)

  • Wenhui Liu

    (School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China)

  • Wei Liu

    (School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China)

  • Yanxue Xu

    (United Center for Eco-Environment in Yangtze River Economic Belt, Chinese Academy of Environmental Planning, Beijing 100041, China
    Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China)

  • Yuanzhuo Sun

    (School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China)

  • Chen Zhang

    (School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China)

  • Mei Sun

    (School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China)

  • Ying Yuan

    (School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China)

Abstract

Accurately assessing the impact of land use patterns on total phosphorus (TP) concentration in surface water is crucial for protecting the water environment of the Yangtze River Basin (YRB). However, due to the heterogeneity of land use patterns, the regional differences in the intensity and direction of their impacts on TP concentrations in the YRB remain insufficiently understood. This study utilizes water quality monitoring data from state-controlled sections in 2021 and employs spatial autocorrelation analysis, geographic detectors, and Pearson correlation models to identify the impacts of land use on TP concentrations at multiple scales across the YRB. The results indicate that TP concentrations at 98.8% of the monitoring stations in the YRB exceed the Class III standard, with high concentrations of TP concentrated in the Pudu River Basin, Chengdu Plain, Jianghan Plain, and Yangtze River Delta regions. At the YRB scale, the spatial pattern of built-up land, cropland, and industrial and mining land significantly increases TP concentrations, while the pattern of forest and grassland areas exert mitigating effects. At the sub-basin scale, the impact of land use patterns on TP concentrations varies regionally. Specifically, TP concentrations in the Pudu River Basin are primarily attributed to the spatial pattern of industrial and mining land, in the Chengdu Plain to the spatial pattern of cropland and industrial and mining land, and in the Jianghan Plain to the spatial pattern of cropland, built-up land, and industrial and mining land. These results provided decision support for TP concentration control strategies and effective mitigation measures.

Suggested Citation

  • Fuliang Deng & Wenhui Liu & Wei Liu & Yanxue Xu & Yuanzhuo Sun & Chen Zhang & Mei Sun & Ying Yuan, 2025. "Regional Differences in the Impact of Land Use Pattern on Total Phosphorus Concentration in the Yangtze River Basin," Land, MDPI, vol. 14(2), pages 1-17, January.
  • Handle: RePEc:gam:jlands:v:14:y:2025:i:2:p:210-:d:1572511
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/14/2/210/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/14/2/210/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fuliang Deng & Tao Lin & Yue Zhao & Ying Yuan, 2017. "Zoning and Analysis of Control Units for Water Pollution Control in the Yangtze River Basin, China," Sustainability, MDPI, vol. 9(8), pages 1-14, August.
    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. Yinghui Li & Shuaijin Huang & Xuexin Qu, 2017. "Water Pollution Prediction in the Three Gorges Reservoir Area and Countermeasures for Sustainable Development of the Water Environment," IJERPH, MDPI, vol. 14(11), pages 1-18, October.
    2. Xiaowen Ding & Lin Liu, 2019. "Long-Term Effects of Anthropogenic Factors on Nonpoint Source Pollution in the Upper Reaches of the Yangtze River," Sustainability, MDPI, vol. 11(8), pages 1-20, April.
    3. Haoran Su & Yaowu Wang & Zhen Zhang & Wen Dong, 2022. "Characteristics and Influencing Factors of Traditional Village Distribution in China," Land, MDPI, vol. 11(10), pages 1-26, September.
    4. Peipei Zhang & Changbo Qin & Lei Yu & Liyan Yang & Lu Lu, 2023. "A New Policy of Water Resources and Environmental Regulation in China," IJERPH, MDPI, vol. 20(3), pages 1-17, January.

    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:jlands:v:14:y:2025:i:2:p:210-:d:1572511. 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.