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2024 Vol. 35, No. 5
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ZENG Xinxiong, LIU Jia, LAI Bo, ZHAO Fengshun, JIANG Shan. Study on warning rainfall threshold for rainfall-induced collapses and landslide geological hazards in Zhuhai City, Guangdong Province[J]. The Chinese Journal of Geological Hazard and Control, 2024, 35(5): 141-150. doi: 10.16031/j.cnki.issn.1003-8035.202406005
Citation: ZENG Xinxiong, LIU Jia, LAI Bo, ZHAO Fengshun, JIANG Shan. Study on warning rainfall threshold for rainfall-induced collapses and landslide geological hazards in Zhuhai City, Guangdong Province[J]. The Chinese Journal of Geological Hazard and Control, 2024, 35(5): 141-150. doi: 10.16031/j.cnki.issn.1003-8035.202406005
shu

Study on warning rainfall threshold for rainfall-induced collapses and landslide geological hazards in Zhuhai City, Guangdong Province

  • 1.

    The First Geological Brigade of Guangdong Geological Bureau, Zhuhai, Guangdong　519001, China

  • 2.

    Guangdong Zhuhai Engineering Exploration Institute, Zhuhai, Guangdong　519001, China

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Received Date:  04 June 2024
Revised Date:  26 July 2024
Accepted Date:  20 August 2024
Publish Date:  25 October 2024
    Abstract

  • Zhuhai City experiences abundant rainfall, which often triggers sudden geological hazards such as landslides and collapses．This paper conducts a comprehensive analysis of 342 landslide and collapse events that occurred in Zhuhai City between 2013 and 2021, along with their associated rainfall characteristics. The study concludes that the occurrence of landslides and collapses in Zhuhai City is closely related to the daily rainfall and the cumulative rainfall over of the previous four days, classifying these events as typical rainfall-induced collapses and landslides．By analyzing the relationship between hazard occurrence and rainfall, an E-D early warning model based on effective rainfall thresholds was established. The model was tested using 153 collapse and landslide geological disasters from 2021 to 2023 in Zhuhai, resulting in an early warning accuracy of 91.5%．A single early warning test on May 12, 2022, showed a hit rate of 94.7%, a missed report rate of 5.3%, and a false alarm rate of 16.2% for the first, second, and third-level warning zones. The E-D early warning rainfall threshold model established in this study is suitable for the actual conditions in Zhuhai and can provide technical support for improving threshold models in early warning systems. It also offers a reference method for studying early warning techniques for collapse and landslide hazards in similar granite regions．

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