Natural Hazards

, Volume 92, Issue 1, pp 415–428 | Cite as

Dynamic process simulation of rainfall-induced Sanxicun landslide based on a thermo-poro-elastic approach

  • Yu Luo
  • Wei Liu
  • Siming He
  • Jiang Yuanjun
  • Xiaoqing Lei
Original Paper


The Sanxicun landslide occurred on July 10, 2013, in Sanxicun Village, which is located in Dujiangyan City, Sichuan Province, China. It travelled up to 1200 m, destroyed 11 houses, and killed 166 people in the village. To explain how this landslide could travel such a large distance and cause such serious damage, this study used a thermo-poro-elastic approach coupled with the Savage–Hutter model to simulate the dynamic process of the Sanxicun landslide. The simulated results were compared with the actual results, as well as those of other researchers. It showed that the simulated results for the landslide profile and mass accumulation scope were basically consistent with the actual results. The simulated landslide runout was 1242 m, which was quite close to the actual value. The simulated maximum mass accumulation thickness was 16.4 m. The maximum velocity was 32.6 m/s, which was between those calculated by Yin et al. (J Eng Geol 22(2):309–318, 2014), Yin et al. (Landslide 13:9–23, 2016), and the various trends were found to be consistent. The temperature change and the pore water pressure evolution in the shear zone during sliding are also obtained by simulation. This study had recreated the Sanxicun landslide motion process from the view of thermo-poro-elastic coupling within the shear zone.


Landslide Dynamic process Simulation Thermo-poro-elastic Savage–Hutter model 



This work was supported by the National Natural Science Foundation of China (41401004, 41472293), NSFC-ICIMOD (Grant No. 41661144041), Science and Technology Plan Project of Sichuan Province (2016SZ0067), and Key Research and Development Projects of Sichuan Province (2017SZ0041), CAS “Light of West China” program.


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Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Key laboratory of Mountain Hazards and Surface ProcessChinese Academy of ScienceChengduChina
  2. 2.Institute of Mountain Hazards and Environment (IMHE)Chinese Academy of SciencesChengduChina
  3. 3.CAS Center for Excellence in Tibetan Plateau Earth SciencesBeijingChina

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