IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i2p732-d1569761.html
   My bibliography  Save this article

Disaster-Pregnant Environment Stability Evaluation of Geohazards in the Yellow River–Huangshui River Valley, China

Author

Listed:
  • Tengyue Zhang

    (School of Geography, Qinghai Normal University, Xining 810008, China)

  • Qiang Zhou

    (School of Geography, Qinghai Normal University, Xining 810008, China
    Academy of Plateau Science and Sustainability, Xining 810008, China
    School of National Safety and Emergency Management, Qinghai Normal University, Xining 810008, China)

  • Weidong Ma

    (School of Geography, Qinghai Normal University, Xining 810008, China
    Academy of Plateau Science and Sustainability, Xining 810008, China
    School of National Safety and Emergency Management, Qinghai Normal University, Xining 810008, China)

  • Yuan Gao

    (School of Geography, Qinghai Normal University, Xining 810008, China)

  • Hanmei Li

    (School of Geography, Qinghai Normal University, Xining 810008, China)

  • Qiuyang Zhang

    (School of Geography, Qinghai Normal University, Xining 810008, China)

Abstract

This study aims to identify the key factors contributing to the destabilization of the geohazard disaster-pregnant environment in the Yellow River–Huangshui River Valley and provide a robust scientific basis for proactive disaster prevention, management of disaster chains, and mitigation of multi-hazard clusters in unstable regions. The research focuses on the Yellow River–Huangshui River Valley, evaluating the stability of its geohazard disaster-pregnant environment. The disaster-pregnant environment is classified into static and dynamic categories. The static disaster-pregnant environment encompasses factors such as lithology, fracture density, topography, slope, river network density, and vegetation cover. The dynamic disaster-pregnant environment incorporates variables such as extreme rainfall, consecutive rainy days, annual rainfall averages, monthly high temperatures, monthly maximum temperature variations, average annual air temperatures, and human activities. A random forest model was employed to quantitatively assess the stability of the geohazard disaster-pregnant environment in the Yellow River–Huangshui River Valley. The findings indicated that (1) extreme indicators were the primary contributors to the destabilization of the disaster-pregnant environment, with very heavy rainfall contributing 28% and consecutive rainy days contributing 27%. Human activities ranked next, accounting for 15%. (2) Unstable regions for static, dynamic, and integrated disaster-pregnant environments accounted for 44%, 45%, and 44% of the study area, respectively, with all unstable areas concentrated in river valley regions. (3) The overall trend of stability in the disaster-pregnant environment was characterized by widespread instability. Extremely unstable areas were predominantly located in river valley regions, largely influenced by human activities. Conversely, only 0.1% of the region exhibited signs of stability, and 2.1% showed a tendency toward extreme stability.

Suggested Citation

  • Tengyue Zhang & Qiang Zhou & Weidong Ma & Yuan Gao & Hanmei Li & Qiuyang Zhang, 2025. "Disaster-Pregnant Environment Stability Evaluation of Geohazards in the Yellow River–Huangshui River Valley, China," Sustainability, MDPI, vol. 17(2), pages 1-23, January.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:2:p:732-:d:1569761
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/2/732/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/17/2/732/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xin Zhang & Lijun Jiang & Wei Deng & Zhile Shu & Meiben Gao & Guichuan Liu, 2024. "Risk Assessment of Geological Hazards in the Alpine Gorge Region and Its Influencing Factors: A Case Study of Jiulong County, China," Sustainability, MDPI, vol. 16(5), pages 1-16, February.
    2. Xiujie Wang & Zihua Qu & Fuchang Tian & Yanpeng Wang & Ximin Yuan & Kui Xu, 2023. "Ice-jam flood hazard risk assessment under simulated levee breaches using the random forest algorithm," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(1), pages 331-355, January.
    3. Zuo Sun & Yingjie Liu & Qingjie Qi & Wengang Liu & Dan Li & Jiamei Chai, 2022. "Risk Assessment of Coal Mine Flood Disasters Based on Projection Pursuit Clustering Model," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
    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. Tan, Jiayi & Peng, Shanbi & Liu, Enbin, 2024. "Spatio-temporal distribution and peak prediction of energy consumption and carbon emissions of residential buildings in China," Applied Energy, Elsevier, vol. 376(PB).
    2. Zuo Sun & Qingjie Qi & Yingjie Liu, 2022. "Vulnerability Assessment of Mine Flooding Disaster Induced by Rainstorm Based on Tri-AHP," Sustainability, MDPI, vol. 14(24), pages 1-14, December.

    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:2:p:732-:d:1569761. 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.