Journal of Mountain Science

, Volume 14, Issue 9, pp 1701–1711 | Cite as

Numerical modeling and dynamic analysis of the 2017 Xinmo landslide in Maoxian County, China

  • Chao-jun Ouyang
  • Wei Zhao
  • Si-ming He
  • Dong-po Wang
  • Shu Zhou
  • Hui-cong An
  • Zhong-wen Wang
  • Duo-xiang Cheng
Article

Abstract

A catastrophic landslide occurred at Xinmo village in Maoxian County, Sichuan Province, China, on June 24, 2017. A 2.87×106 m3 rock mass collapsed and entrained the surface soil layer along the landslide path. Eighty-three people were killed or went missing and more than 103 houses were destroyed. In this paper, the geological conditions of the landslide are analyzed via field investigation and high-resolution imagery. The dynamic process and runout characteristics of the landslide are numerically analyzed using a depth-integrated continuum method and MacCormack-TVD finite difference algorithm. Computational results show that the evaluated area of the danger zone matchs well with the results of field investigation. It is worth noting that soil sprayed by the high-speed blast needs to be taken into account for such kind of large high-locality landslide. The maximum velocity is about 55 m/s, which is consistent with most cases. In addition, the potential danger zone of an unstable block is evaluated. The potential risk area evaluated by the efficient depth-integrated continuum method could play a significant role in disaster prevention and secondary hazard avoidance during rescue operations.

Keywords

Xinmo landslide Runout Numerical modeling Dynamic process Potential risk High-locality landslide 

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References

  1. Banton J, Villard P, Jongmans D, Scavia C (2009) Twodimensional discrete element models of debris avalanches: Parameterization and the reproducibility of experimental results. Journal of Geophysical Research: Earth Surface 114(F4). https://doi.org/10.1029/2008JF001161Google Scholar
  2. Beyabanaki SAR, Bagtzoglou AC, Liu L (2016) Applying diskbased discontinuous deformation analysis (DDA) to simulate Donghekou landslide triggered by the Wenchuan earthquake. Geomechanics and Geoengineering 11(3): 177–188. https://doi.org/10.1080/17486025.2015.1082647CrossRefGoogle Scholar
  3. Burght LVD, Stoffel M, Bigler C (2012) Analysis and modeling of tree succession on a recent rockslide deposit. Plant Ecology 213(1): 35–46. https://doi.org/10.1007/s11258-011-0004-2CrossRefGoogle Scholar
  4. Chen HX, Zhang S, Peng M, et al. (2016) A physically-based multi-hazard risk assessment platform for regional rainfallinduced slope failures and debris flows. Engineering Geology 203: 15–29. https://doi.org/10.1016/j.enggeo.2015.12.009CrossRefGoogle Scholar
  5. Coe JA, Baum RL, Allstadt KE, et al. (2016) Rock-avalanche dynamics revealed by large-scale field mapping and seismic signals at a highly mobile avalanche in the West Salt Creek valley, western Colorado. Geosphere 12(2): 607–631. https://doi.org/10.1130/GES01265.1CrossRefGoogle Scholar
  6. Delaney KB, Evans SG (2015) The 2000 Yigong landslide (Tibetan Plateau), rockslide-dammed lake and outburst flood: Review, remote sensing analysis, and process modelling. Geomorphology 246: 377–393. https://doi.org/10.1016/j.geomorph.2015.06.020CrossRefGoogle Scholar
  7. Guthrie RH, Evans SG, Catane SG, et al. (2009) The 17 February 2006 rockslide-debris avalanche at Guinsaugon Philippines: a synthesis. Bulletin of engineering geology and the environment 68: 201–213. https://doi.org/10.1007/s10064-009-0205-2CrossRefGoogle Scholar
  8. Fan JR, Zhang XY, Su FH, et al. (2017) Geometrical feature analysis and disaster assessment of the Xinmo landslide based on remote sensing data. Journal of Mountain Science 14(9). https://doi.org/10.1007/s11629-017-4633-3Google Scholar
  9. He SM, Ouyang CJ, Liu W, et al. (2016) Coupled model of twophase debris flow, sediment transport and morphological evolution. Acta Geologica Sinica (English Edition) 90(6): 2206–2215. https://doi.org/10.1111/1755-6724.13031CrossRefGoogle Scholar
  10. Hungr O, Evans SG (2004) Entrainment of debris in rock avalanches: An analysis of a long run-out mechanism. Geological Society of America Bulletin 116(9–10): 1240–1252. https://doi.org/10.1130/B25362.1CrossRefGoogle Scholar
  11. Iverson RM, George DL (2015) Modelling landslide liquefaction, mobility bifurcation and the dynamics of the 2014 Oso disaster. Geotechnique 66(3): 175–187. https://dx.doi.org/10.1680/jgeot.15.LM.004CrossRefGoogle Scholar
  12. Iverson RM, Ouyang CJ (2015) Entrainment of bed material by Earth- surface mass flows: Review and reformulation of depth-integrated theory. Reviews of Geophysics 53(1): 27–58. https://doi.org/10.1002/2013RG000447CrossRefGoogle Scholar
  13. Liang Q (2010) Flood simulation using a well-balanced shallow flow model. Journal of hydraulic engineering 136(9): 669–675. https://doi.org/10.1061/(ASCE)HY.1943-7900.0000219CrossRefGoogle Scholar
  14. Liu W, He SM, Ouyang CJ (2016) Dynamic process simulation with a savage-hutter type model for the intrusion of landslide into river. Journal of Mountain Science 13(7): 1265–1274. http://doi.org/10.1007/s11629-015-3439-4CrossRefGoogle Scholar
  15. Ouyang CJ, He SM, Xu Q, et al. (2013) A MacCormack-TVD finite difference method to simulate the mass flow in mountainous terrain with variable computational domain. Computers and Geosciences 52: 1–10. https://doi.org/10.1016/j.cageo.2012.08.024CrossRefGoogle Scholar
  16. Ouyang CJ, He SM, Tang C (2015a) Numerical analysis of dynamics of debris flow over erodible beds in Wenchuan earthquake-induced area. Engineering Geology 194: 62–72. https://doi.org/10.1016/j.enggeo.2014.07.012CrossRefGoogle Scholar
  17. Ouyang, CJ, He, SM, Xu, Q (2015b) MacCormack-TVD finite difference solution for dam break hydraulics over erodible sediment beds. Journal of Hydraulic Engineering 141(5): 06014026. https:/doi.org/10.1061/(ASCE)HY.1943-7900.0000986CrossRefGoogle Scholar
  18. Ouyang C, Zhou K, Xu Q, et al. (2017) Dynamic analysis and numerical modeling of the 2015 catastrophic landslide of the construction waste landfill at guangming, shenzhen, china. Landslides 14(2): 705–718. https://doi.org/10.1007/s10346-016-0764-9CrossRefGoogle Scholar
  19. Savage SB, Hutter K (1989) The motion of a finite mass of granular material down a rough incline. Journal of Fluid Mechanics 199: 177–215. https://doi.org/10.1017/S0022112089000340CrossRefGoogle Scholar
  20. Shi C, Li DJ, Chen KH, et al. (2016) Failure mechanism and stability analysis of the zhenggang landslide in Yunnan province of China using 3d particle flow code simulation. Journal of Mountain Science 13(5): 891–905. https://doi.org/10.1007/s11629-014-3399-0CrossRefGoogle Scholar
  21. Su LJ, Hu KH, Zhang WF, et al. (2017) Characteristics and triggering mechanism of Xinmo landslide on 24 June 2017 in Sichuan, China. Journal of Mountain Science 14(9). https://doi.org/10.1007/s11629-017-4609-3Google Scholar
  22. Wang YF, Dong JJ, Cheng QG (2017) Velocity-dependent frictional weakening of large rock avalanche basal facies: Implications for rock avalanche hypermobility? Journal of Geophysical Research: Solid Earth 122(3): 1648–1676.Google Scholar
  23. Wu JH, Chen JH, Lu CW (2013) Investigation of the hsien-dushan rock avalanche caused by typhoon morakot in 2009 at kaohsiung county, taiwan. International Journal of Rock Mechanics & Mining Sciences 60(2): 148–159. https://doi.org/10.1016/j.ijrmms.2012.12.033CrossRefGoogle Scholar
  24. Xing A, Wang G, Li B, et al. (2014) Long-runout mechanism and landsliding behavior of large catastrophic. Canadian Geotechnical Journal 52(7): 971–981. https://doi.org/10.1139/cgj-2014-0122CrossRefGoogle Scholar
  25. Xu Q, Fan X, Huang R, et al. (2010) A catastrophic rockslidedebris flow in Wulong, Chongqing, China in 2009: background, characterization, and causes. Landslides 7: 75–87. https://doi.org/10.1007/s10346-009-0179-yCrossRefGoogle Scholar
  26. Zhang H, Liu SG, Wang W, et al. (2016) A new DDA model for kinematic analyses of rockslides on complex 3-d terrain. Bulletin of Engineering Geology & the Environment 1-17. https://doi.org/10.1007/s10064-016-0971-6Google Scholar
  27. Zhou JW, Huang KX, Shi C, et al. (2015). Discrete element modeling of the mass movement and loose material supplying the gully process of a debris avalanche in the Bayi Gully, Southwest China. Journal of Asian Earth Sciences 99: 95–111. https://doi.org/10.1016/j.jseaes.2014.12.008CrossRefGoogle Scholar

Copyright information

© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.Key laboratory of Mountain Hazards and Surface Process &Institute of Mountain Hazards and Environment (IMHE)Chinese Academy of SciencesChengduChina
  2. 2.University of Chinese Academy of SciencesBeijingChina
  3. 3.Center for Excellence in Tibetan Plateau Earth SciencesChinese Academy of SciencesBeijingChina
  4. 4.State Key Laboratory of Geohazard Prevention and Geoenvironment ProtectionChengdu University of TechnologyChengduChina
  5. 5.Sichuan Engineering Research Center for Emergency Mapping & Disaster Reduction/Sichuan Geomatics CenterChengduChina

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