IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i17p8050-d1744074.html
   My bibliography  Save this article

Quantifying the Impacts of Climate Change and Human Activities on Monthly Runoff in the Liuhe River Basin, Northeast China

Author

Listed:
  • Jiyun Yao

    (School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China)

  • Xiaomeng Song

    (School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China)

  • Mingqian Li

    (School of Environment and Disaster Management, Institute of Disaster Prevention, Langfang 065200, China)

Abstract

Both climate change and human activities have had a significant impact on hydrological processes. Quantification of affecting factors on river regime changes is scientifically essential for understanding hydrological processes and sustainable water resources management in the basins. This study investigates the features of variations in meteorological and hydrological variables in the Liuhe River Basin (LRB) from 1956 to 2020 based on various observed records and statistical methods. It then quantitatively identifies the possible impacts of climate variability and human activities on runoff in the LRB using the empirical methods and the Budyko framework. The results show that (1) the runoff demonstrates a significantly decreasing trend over the past 65 years, but the rainfall has no obvious trend with significant interannual fluctuations, and potential evapotranspiration exhibits a weekly decreasing trend, particularly in summer. (2) The runoff series can be divided into two periods, i.e., the baseline (1956–1969) and change (1970–2020) periods, and the change period can also be divided into two stages, i.e., stage I (1970–1999) and stage II (2000–2020). (3) Human activities are the dominant factors in the runoff decline in the LRB, with the contribution rates being greater than 80% in the change period, particularly for stage II. The analysis of this study can provide a reference for the rational utilization of water resources in the LRB.

Suggested Citation

  • Jiyun Yao & Xiaomeng Song & Mingqian Li, 2025. "Quantifying the Impacts of Climate Change and Human Activities on Monthly Runoff in the Liuhe River Basin, Northeast China," Sustainability, MDPI, vol. 17(17), pages 1-19, September.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:17:p:8050-:d:1744074
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/17/8050/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/17/8050/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:17:p:8050-:d:1744074. 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.