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HUANG Ruijian,FENG Wenkai,LI Shuangquan,et al. Study on the Empirical Prediction Model for the Runout Distance of Rainfall-Induced Group-occurring Shallow Soil Landslides[J]. Bulletin of Geological Science and Technology,2025,44(3):1-13 doi: 10.19509/j.cnki.dzkq.tb20240364
Citation: HUANG Ruijian,FENG Wenkai,LI Shuangquan,et al. Study on the Empirical Prediction Model for the Runout Distance of Rainfall-Induced Group-occurring Shallow Soil Landslides[J]. Bulletin of Geological Science and Technology,2025,44(3):1-13 doi: 10.19509/j.cnki.dzkq.tb20240364

Study on the Empirical Prediction Model for the Runout Distance of Rainfall-Induced Group-occurring Shallow Soil Landslides

doi: 10.19509/j.cnki.dzkq.tb20240364
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  • Author Bio:

    E-mail:1550392749@qq.com

  • Corresponding author: E-mail:fengwenkai@cdut.cn
  • Received Date: 28 Jun 2024
  • Accepted Date: 14 Feb 2025
  • Rev Recd Date: 06 Jan 2025
  • Available Online: 24 Apr 2025
  • Objective

    Rainfall-induced group-occurring shallow soil landslides have the characteristics of strong and sudden occurrence and high risk. It is of great significance to build a runout distance prediction model for landslide risk prevention and control.

    Methods

    This study takes the "5.27" group-occurring landslide event in Wuping County, Fujian Province as the research object, and obtains 131 landslide characteristic data based on pre-disaster and post-disaster remote sensing images, digital elevation model, drone 3D model and field investigation. According to the location of the slip-out point and topographic characteristics, the landslides are divided into the foot slip-out type, the middle slope slip-out type and the cut slope slip-out type. The main factors affecting the runout distance of group-occurring shallow soil landslides were determined by correlation analysis, and the optimal prediction model for the runout distance of three types of landslides was established using stepwise nonlinear regression analysis.

    Results

    Correlation analysis shows that the height of the sliding source area is the main influencing factor of the runout distance of rainfall-induced group-occurring shallow soil landslides. The established optimal predictive models exhibited a small residual sum of squares (RSS) and an adjusted R2 value greater than 0.9, indicating high reliability and precision. Model validation showed that the relative errors between the predicted and actual values were small, with maximum relative errors of 15.6%, 13.5%, and 12.4% for foot slip-out, middle slope slip-out, and cut slope slip-out types, respectively.

    Conclusion

    This study established a predictive model for the runout distance of rainfall-induced group-occurring shallow soil landslides based on statistical analysis, providing a scientific basis for landslide disaster prevention in similar regions. Although the models demonstrated high predictive accuracy across different types of landslides, the data were primarily sourced from a specific area, and further validation is needed for their applicability in other regions. Future research could consider increasing the sample size and influencing factors to further refine the models.

     

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