Skip to main content

Advertisement

Log in

Numerical simulation of landslide-generated waves during the 11 October 2018 Baige landslide at the Jinsha River

  • Technical Note
  • Published:
Landslides Aims and scope Submit manuscript

Abstract

Landslides at river embankments can block watercourses, imperiling the safety of vessels and downstream hydropower stations. The Baige landslide, which occurred on 11th October 2018, is taken as an example to study the landslide motion and landslide-generated wave evolutions. The elasto-viscoplastic and renormalization group (RNG) turbulence models are employed in the FLOW3D software, treating the motion of the Baige landslide as a viscous flow. Numerical results show that the maximum velocity of the slide was approximately 75 m/s when entering the Jinsha River. Further, the waves triggered by massive debris avalanches at three different locations are investigated. The maximum velocity of the landslide-generated wave and the maximum run-up in the Jinsha River reached 45 m/s and 53.9 m, respectively, on the slide axis. The maximum run-up terrain elevation of the wave was 3039.7 m. The simulation results are basically consistent with the actual field observations and fit well with high-speed flow-like landslides. In this case, the displaced water was dominant due to the significant volume of the failure mass and the shallow watercourse of the Jinsha River. The run-down waves located on the source region axis contribute to the rise of water level downstream and upstream. The results from this case study serve as a practical inspiration for research on disaster processes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

References

  • Abadie S, Morichon D, Grilli S, Glockner S (2010) Numerical simulation of waves generated by landslides using a multiple-fluid Navier–Stokes model. Coast Eng 57(9):779–794

    Google Scholar 

  • Aleotti P, Chowdhury R (1999) Landslide hazard assessment: summary review and new perspectives. Bull Eng Geol Environ 58(1):21–44

    Google Scholar 

  • Andrea P, Oiorgio B, Panlo DG (2002) Application of wavelet transform analysis to landslide generated waves. Coast Eng 44(4):321–338

    Google Scholar 

  • Ataie-Ashtiani B, Shobeiry G (2008) Numerical simulation of landslide impulsive waves by modified smooth particle hydrodynamics. Int J Numer Methods Fluids 56(2):209–232

    Google Scholar 

  • Ataie-Ashtiani B, Yavari-Ramshe S (2011) Numerical simulation of wave generated by landslide incidents in dam reservoirs. Landslides 8(4):417–432

    Google Scholar 

  • Bosa S, Petti M (2011) Shallow water numerical model of the wave generated by the Vajont landslide. Environ Model Softw 26(4):406–418

    Google Scholar 

  • Chung CJF, Fabbri AG (2003) Validation of spatial prediction models for landslide hazard mapping. Nat Hazards 30(3):451–472

    Google Scholar 

  • Crosta GB, Imposimato S, Roddeman D (2005) Small fast-moving flow-like landslides in volcanic deposits: the 2001 Las Colinas landslide (El Salvador). Eng Geol 79(3–4):185–214

    Google Scholar 

  • Crosta GB, Imposimato S, Roddeman D (2008) Numerical modelling of entrainment or deposition in rock and debris-avalanches. Eng Geol 109(1):135–145

    Google Scholar 

  • Evers FM, Hager WH (2016) Spatial impulse waves: wave height decay experiments at laboratory scale. Landslides 13(6):1395–1403

    Google Scholar 

  • Flow Science (2016) FLOW-3D V11.2 user’s manual. Flow Science Inc, Los Alamos

    Google Scholar 

  • Fritz HM, Hager WH, Minor HE (2003) Landslide generated impulse waves. Exp Fluids 35(6):505–519

    Google Scholar 

  • Grilli ST, Watts P (1999) Modeling of waves generated by a moving submerged body-applications to underwater landslide. Eng Anal Bound Elem 23(8):645–656

    Google Scholar 

  • Heller V, Spinneken J (2013) Improved landslide-tsunami prediction: effects of block model parameters and slide model. J Geophys Res: Ocean 118(3):1489–1507

    Google Scholar 

  • Heller V, Hager WH, Minor HE (2008) Scale effects in subaerial landslide generated impulse waves. Exp Fluids 44(5):691–703

    Google Scholar 

  • Heller V, Hager WH, Minor HE (2009) Landslide generated impulse waves in reservoirs: basics and computation. ETH Zurich, Zurich

    Google Scholar 

  • Hu YX, Chen ML, Zhou JW (2019) Numerical simulation of the entrainment effect during mass movement in high-speed debris avalanche. Arab J Geosci 12(2):14

    Google Scholar 

  • Hu YX, Li HB, Qi SC, Fan G, Zhou JW (2020) Granular effects on depositional processes of debris avalanches. KSCE J Civ Eng. https://doi.org/10.1007/s12205-020-1555-3

  • Huang B, Yin Y, Wang S, Chen X, Liu G, Jiang Z, Liu J (2014) A physical similarity model of an impulsive wave generated by Gongjiafang landslide in Three Gorges Reservoir, China. Landslides 11(3):513–525

  • Huang B, Zheng W, Yu Z, Liu G (2015) A successful case of emergency landslide response—the Sept. 2, 2014, Shanshucao landslide, three gorges reservoir, China. Geoenvironmental Disasters 2(1):18

    Google Scholar 

  • International Union of Geological Sciences Working Group On Landslide (1995) A suggested method for describing the rate of movement of a landslide. Bull Int Assoc Eng Geol 52:75–78

    Google Scholar 

  • Jiang L, LeBlond PH (1993) Numerical modeling of an underwater Bingham plastic mudslide and the waves which it generates. J Geophys Res 98:10303–10317

    Google Scholar 

  • Kesseler M, Heller V, Turnbull B (2018) A laboratory-numerical approach for modelling scale effects in dry granular slides. Landslides 15(11):2145–2159

    Google Scholar 

  • Lindstrøm EK (2016) Waves generated by subaerial slides with various porosities. Coast Eng 116(10):170–179

    Google Scholar 

  • Liu CQ (2016) CFD simulation of surge wave generated by flow-like landslides. World academy of science. Eng Technol Int J Civil Environ Eng 8:9

    Google Scholar 

  • Panizzo A, De Girolamo P, Di Risio M, Maistri A, Petaccia A (2005) Great landslide events in Italian artificial reservoirs. Natural Hazards and Earth System Science 5(5):733–740

  • Pudasaini SP, Miller SA (2013) The hypermobility of huge landslides and avalanches. Eng Geol 157(5):124–132

    Google Scholar 

  • Savage SB, Hutter K (1989) The motion of a finite mass of granular material down a rough incline. J Fluid Mech 199:177–215

    Google Scholar 

  • Yavari-Ramshe S, Ataie-Ashtiani B (2016) Numerical modelling of subaerial and submarine landslide-generated tsunami waves-recent advances and future challenges. Landslides 13(6):1325–1368

    Google Scholar 

  • Yin YP, Huang B, Chen X, Liu G, Wang S (2015) Numerical analysis on wave generated by the Qianjiangping landslide in three gorges reservoir, China. Landslides 12(2):355–364

    Google Scholar 

  • Zhou JW, Xu FG, Yang XG, Yang YC, Lu PY (2016a) Comprehensive analyses of the initiation and landslide-generated wave processes of the 24 June 2015 Hongyanzi landslide at the three gorges reservoir, China. Landslides 13(3):589–601

  • Zhou J, Cui P, Hao M (2016b) Comprehensive analyses of the initiation and entrainment processes of the 2000 Yigong catastrophic landslide in Tibet, China. Landslides 13(1):39–54

Download references

Acknowledgments

Critical comments by the anonymous reviewers greatly improved the initial manuscript.

Funding

This study was financially supported by the National Key R&D Program of China (2017YFC1501102), the National Natural Science Foundation of China (41977229), and the Youth Science and Technology Fund of Sichuan Province (2016JQ0011).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jia-wen Zhou.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hu, Yx., Yu, Zy. & Zhou, Jw. Numerical simulation of landslide-generated waves during the 11 October 2018 Baige landslide at the Jinsha River. Landslides 17, 2317–2328 (2020). https://doi.org/10.1007/s10346-020-01382-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10346-020-01382-x

Keywords

Navigation