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)
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.
杨宗佶1，王礼勇1，2，石莉莉3，付校龙1，2，刘世皓1，2，乔建平1 . 降雨滑坡多指标监测预警方法研究[J]. 岩石力学与工程学报, 2020, 39(2): 272-285.
YANG Zongji1，WANG Liyong1，2，SHI Lili3，FU Xiaolong1，2，LIU Shihao1，2，QIAO Jianping1. Research of monitoring and early warning methods for rainfall-induced landslides based on multivariate thresholds. , 2020, 39(2): 272-285.
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2020, Vol. 39 
