IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i6p2396-d1356624.html
   My bibliography  Save this article

Temporal and Spatial Trends in Livestock Manure Discharge and Water Pollution Risk in Chaohu Lake Basin

Author

Listed:
  • Fanghui Pan

    (School of Mechanical Engineering, Institute of New Rural Development, Tongji University, Shanghai 201804, China
    School of Ecology and Environment, Anhui Normal University, Wuhu 241000, China)

  • Fei Huang

    (School of Ecology and Environment, Anhui Normal University, Wuhu 241000, China)

  • Hongguang Zhu

    (School of Mechanical Engineering, Institute of New Rural Development, Tongji University, Shanghai 201804, China)

  • Youbao Wang

    (School of Ecology and Environment, Anhui Normal University, Wuhu 241000, China)

Abstract

Assessments of the spatiotemporal distribution of livestock manure and its risk to the watershed are important to prevent water pollution. In this work, the spatiotemporal livestock manure distribution and its risk for the Chaohu lake basin were evaluated based on the excretion coefficient method and ArcGIS technology. In detail, the amounts of livestock manure and its associated pollutants, including chemical oxygen demand (COD), five-day biochemical oxygen demand (BOD 5 ), ammonia (NH 4 + -N), total nitrogen (TN), and total phosphorus (TP), were calculated from 2009 to 2019. Then, the diffusion concentrations of COD, BOD 5 , NH 4 + -N, TN, and TP and the water pollution risk index from livestock manure were estimated and predicted for the Chaohu lake basin. The results indicated that the mean amount of livestock manure had reached 1.04 × 10 7 t in the Chaohu lake basin in the studied decade. The COD, BOD 5 , NH 4 + -N, TN, and TP from livestock manure in Feixi and Feidong contributed 54.26% and 54.40% of the total in the whole basin. These results demonstrate the potential pollution risk of livestock manure for the Chaohu lake basin. Moreover, the diffusion concentrations of COD, BOD 5 , NH 4 + -N, TN, and TP for the lake basin were from highest to lowest as follows: Feixi > Feidong > Chaohu > Lujiang > Wuwei > Shucheng > Hefei. The water pollution risk index was more than 20 in Feixi and Feidong, indicating that these areas were heavily affected by local livestock manure. The water pollution risk index will be approximately 18 for the Chaohu lake basin in 2030, implying that the Chaohu lake watershed will suffer moderate pollution from animal manure. These results provide scientific support for policymakers to enhance manure utilization efficiency and control livestock manure loss, causing water eutrophication in Chaohu lake basin or other similar watersheds.

Suggested Citation

  • Fanghui Pan & Fei Huang & Hongguang Zhu & Youbao Wang, 2024. "Temporal and Spatial Trends in Livestock Manure Discharge and Water Pollution Risk in Chaohu Lake Basin," Sustainability, MDPI, vol. 16(6), pages 1-14, March.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:6:p:2396-:d:1356624
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/6/2396/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/6/2396/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gallego, Aurea & Calafat, Consuelo & Segura, Marina & Quintanilla, Israel, 2019. "Land planning and risk assessment for livestock production based on an outranking approach and GIS," Land Use Policy, Elsevier, vol. 83(C), pages 606-621.
    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. Kik, M.C. & Claassen, G.D.H. & Meuwissen, M.P.M. & Smit, A.B. & Saatkamp, H.W., 2021. "Actor analysis for sustainable soil management – A case study from the Netherlands," Land Use Policy, Elsevier, vol. 107(C).
    2. Zhaoxia Guo & Qinqin Guo & Yujie Cai & Ge Wang, 2021. "Unraveling Risk Networks of Cultivated Land Protection: An Exploratory Stakeholder-Oriented Case Study in Xiliuhe Town, Hubei Province, China," Land, MDPI, vol. 10(11), pages 1-26, November.
    3. Guo, Kai & Zhang, Xinchang & Kuai, Xi & Wu, Zhifeng & Chen, Yiyun & Liu, Yi, 2020. "A spatial bayesian-network approach as a decision-making tool for ecological-risk prevention in land ecosystems," Ecological Modelling, Elsevier, vol. 419(C).
    4. Muñoz-Rojas, J. & Pinto-Correia, T. & Napoleone, C., 2019. "Farm and land system dynamics in the Mediterranean: Integrating different spatial-temporal scales and management approaches," Land Use Policy, Elsevier, vol. 88(C).

    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:16:y:2024:i:6:p:2396-:d:1356624. 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.