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Volume 44 Issue 1
Jan.  2025
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Article Navigation >  Bulletin of Geological Science and Technology  > 2025  >  44(1): 126-137
XIE Yangyi，YIN Kunlong，DU Juan，et al. Threshold model of landslide rainfall in Chongqing based on different geological environment zones[J]. Bulletin of Geological Science and Technology，2025，44（1）：126-137 doi: 10.19509/j.cnki.dzkq.tb20230375
Citation: XIE Yangyi，YIN Kunlong，DU Juan，et al. Threshold model of landslide rainfall in Chongqing based on different geological environment zones[J]. Bulletin of Geological Science and Technology，2025，44（1）：126-137 doi: 10.19509/j.cnki.dzkq.tb20230375
shu

Threshold model of landslide rainfall in Chongqing based on different geological environment zones

doi: 10.19509/j.cnki.dzkq.tb20230375
  • 1a.

    China University of Geosciences(Wuhan) Faculty of Engineering

  • 1b.

    China University of Geosciences(Wuhan) School of Environmental Studies, China University of Geosciences(Wuhan), Wuhan 430074, China

  • 2.

    Northwest Electric Power Design Institute Co. , Ltd. , China Power Engineering Consulting Group, Xi'an 710075, China

More Information
  • Author Bio:

    E-mail：xieyangyi501@cug.edu.cn

  • Corresponding author: E-mail：yinkl@126.com
  • Received Date: 03 Jul 2023
  • Accepted Date: 17 Aug 2023
  • Rev Recd Date: 13 Aug 2023
    • Available Online: 17 Dec 2023
    Abstract
  • Objective

    Considering the rainfall characteristics and geological environment of regional landslides, constructing a reasonable rainfall threshold model is crucial for the prediction and forecasting regional landslide disasters.

    Methods

    This study takes 1368 rain-induced landslides in Chongqing from 2013 to 2021 as the research object. Based on detailed landslide data and regional geological environment information, rainfall events were divided and a landslide sample database was constructed. Using the random forest (RF) algorithm, a rainfall threshold model of the day's triggered rainfall-previous rainfall-previous effective rainfall (Rd-Rp) was established, and different warning levels were classified based on probability grading. Based on the medium early warning probability, 19 threshold criteria for critical rainfall were constructed according to four geological environments: the disaster-prone environment, engineering rock group, land use, and soil type.

    Results

    The results show that the Rd-Rp threshold model can effectively reflect the impact of the daily excitation rainfall and the early effective rainfall on landslide development, and that early effective rainfall plays a dominant role in landslide induction. Different geological environment types show different sensitivities to rainfall factors, and geological structures, engineering properties of rock and soil masses, vegetation coverage, and soil properties have significant effects on landslide development. The threshold of rock formations dominated by hard rocks is higher than that dominated by weak rocks, and the threshold of forest land is greater than that of cultivated land. The threshold of areas severely damaged by human engineering activities will decrease.

    Conclusion

    This study can provide new ideas and references for the meteorological early warning management of rainfall-related landslide disasters in Chongqing.

     

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