Acta Geodaetica et Cartographica Sinica ›› 2024, Vol. 53 ›› Issue (5): 917-932.doi: 10.11947/j.AGCS.2024.20230009

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Landslide displacement weighted inverse analysis and monitoring and warning method under the combined action of rainfall and reservoir water level

Wei YUAN1(), Xiaolei JI1, Dongpo WANG2, Kaige GUAN1, Zihao PEI1, Huiya ZHONG3, Jia TANG3, Ruifeng SUN4(), Wei WANG1, Hemin ZHENG5, Shuaijie GUO5, Hongxu LI5   

  1. 1.Shijiazhuang Tiedao University, Shijiazhuang 050043, China
    2.Chengdu University of Technology, Chengdu 610059, China
    3.Zhongnan Engineering Corporation Limited, Changsha 410014, China
    4.China Railway 17th Bureau Group Urban Construction Co., Ltd., Guiyang 550029, China
    5.China Railway Design Corporation, Tianjin 300308, China
  • Received:2023-01-31 Revised:2024-05-06 Published:2024-06-19
  • Contact: Ruifeng SUN E-mail:yuanweisuper001@126.com;18608663360@zt17.cn
  • About author:YUAN Wei (1986—), male, PhD, associate professor, majors in safety prevention and control of geological disaster. E-mail: yuanweisuper001@126.com
  • Supported by:
    Hebei Province Key Research and Development Program(22375402D);The Science and Technology Support Plan of Guizhou Province(黔科合支撑[2024]一般145);The Natural Science Foundation of Hunan Province(2022JJ30641)

Abstract:

Rainfall and reservoir water level variation are the main external factors that induce continuous deformation and even instability of large reservoir bank landslide. Aiming at the deformation characteristics of landslide under the combined action of the above two factors, a four-step landslide monitoring and warning method based on multi-source heterogeneous data is proposed in this study. In this method, the trend term displacement is used to invert mechanical parameters, which effectively avoids the influence of external factors such as rainfall and reservoir water level change on the inversion results. Meanwhile, the entropy weight is used to construct the inversion objective function, which takes into account the influence of monitoring points at different locations on the inversion results. In addition, the influence of the geological conditions of the slope itself and the slope structure on the monitoring and early warning is considered. Besides, considering the influence of geological conditions and slope structure on monitoring and warning, a warning model with geological and mechanical basis was established by comprehensive use of safety factor and comprehensive deformation rate. Finally, mechanical parameter inversion and monitoring and early warning are carried out for Donglingxin landslide of Sanbanxi hydropower station, Guizhou province by virtue of the proposed method in this study. The results show that the safety factor of the landslide fluctuates between 1.25 and 1.70 during the whole monitoring period, and the overall state is declining. Based on the safety factor, it is still in a stable state. The comprehensive deformation rate presents an upward and downward fluctuation trend, which is highly correlated with the variation law of the safety factor. Both of them can represent the evolution process of the stability of the landslide under the combined action of rainfall and reservoir water level. The comprehensive deformation rate of the current monitoring moment point is 0.059 9. According to the hierarchical warning model, the landslide is currently in the stable deformation stage (level I warning), which is consistent with the judgment result of the safety factor.

Key words: landslide, monitoring and early warning, parametric inversion, rainfall, variation of reservoir water level

CLC Number: