slope engineering,rainfall-induced landslides,hydrological mechanism,multivariate thresholds,early warning,successful cases
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  2020, Vol. 39 Issue (2): 272-285    DOI: 10.13722/j.cnki.jrme.2019.0354
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Research of monitoring and early warning methods for rainfall-induced landslides based on multivariate thresholds
YANG Zongji1,WANG Liyong1,2,SHI Lili3,FU Xiaolong1,2,LIU Shihao1,2,QIAO Jianping1#br#
(1. Institute of Mountain Hazards and Environment,Chinese Academy of Science,Chengdu,Sichuan 610041,China;2. University of Chinese Academy of Sciences,Beijing 100049,China;3. Chengdu Institute of Geo-environment Monitoring,Chengdu,Sichuan 610042,China)
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Abstract  Rainfall-induced landslides are the most frequent and catastrophic geological disasters,while the accurately early warning of precipitate landslides in response to intense rainfall is still challenging. Understanding the rainfall-induced mechanism of landslides is the prerequisite for the early warning. In the study,a typical post-earthquake landslide in Dujiangyan County was selected as a real-time monitoring site,and the stability and failure mechanism of the slope were investigated in a long period by combining the real-time monitoring data of five hydrological years and hydro-mechanical coupling theory. A landslide warning model with multi-parameter thresholds including rainfall intensity-probability threshold(I-P),saturation,matric suction,inclination and slope stability,was proposed based on the unsaturated slope stability calculation and the long-term monitoring data analysis. The proposed method was successfully implemented in early warning at Yindongzi gulley in Aug. 2017 and Jun. 2018 and proved reliable and practicable. The research provides a reference for early warning of rainfall-induced landslides.
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YANG Zongji1
WANG Liyong1
2
SHI Lili3
FU Xiaolong1
2
LIU Shihao1
2
QIAO Jianping1
Cite this article:   
YANG Zongji1,WANG Liyong1,2, et al. Research of monitoring and early warning methods for rainfall-induced landslides based on multivariate thresholds[J]. , 2020, 39(2): 272-285.
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