Numerical modeling of subaerial and submarine landslide-generated tsunami waves—recent advances and future challenges

Yavari-Ramshe, S.; Ataie-Ashtiani, Behzad

doi:10.1007/s10346-016-0734-2

Cited by 160 publications

(90 citation statements)

References 389 publications

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“…13 and the depth process of V0-V3 in Fig. 14 show that the solid grains of the sliding mass gradually moved toward the valley and accumulated (Yavari-Ramshe et al, 2015). At t = 2.1 s, substances in the sliding mass slid to the river bed.…”

Section: Landslide Movement Processmentioning

confidence: 90%

“…Generally, the RNG model has a wider applicability than the standard k-ε model. The transport equation for K T includes the convection and diffusion of the turbulent kinetic energy, the production of turbulent kinetic energy due to shearing and buoyancy effects, diffusion, and dissipation due to viscous losses within the turbulent eddies (Yakhot and Orszag, 1986;Yakhot and Smith, 1992). The transport equation for…”

Section: Governing Equations Of Fluid Flowmentioning

confidence: 99%

“…In the RNG model, CDIS1, CDIS3, and CNU are dimensionless user-adjustable parameters that have 1.42, 0.2, and 0.085 defaults. CDIS2 is computed from the turbulent kinetic energy (K T ) and turbulent production (P T ) terms (Yakhot and Orszag, 1986;Yakhot and Smith, 1992). In particular, the RNG model is known to describe lowintensity turbulence flows and flows having strong shear regions more accurately.…”

Section: Governing Equations Of Fluid Flowmentioning

confidence: 99%

“…However, the numerical analysis method can help us have a relatively comprehensive analysis of the landslide-induced impulse wave disaster; it has the advantages of being precise, economic, and reasonable, as well as having highly visible results (Heller et al, 2009). Therefore, the numerical analysis method is an effi-cient tool in the study of landslide-induced impulse waves (Yavari-Ramshe and Ataie-Ashtiani, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Accordingly, numerical models which consider the rheological behavior of the sliding mass in their calculations have been recently applied more often. The most applied continuous rheological models so far include the Coulomb model, Herschel-Bulkley model, Bagnold model, and Bingham model (Shakeri Majd and Sanders, 2014;Cremonesi et al, 2011;Yavari-Ramshe and Ataie-Ashtiani, 2016;Xing et al, 2016). Those that describe avalanche, landslide, or debris flow motions in discontinuous medium models are mainly the FEM-discrete element method model (FEM-DEM; Morris et al, 2006;Munjiza, 2004;Li et al, 2015) and DEM model (Smilauer et al, 2010;Brennen, 2005;Utili et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

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Analysis of the Tangjiaxi landslide-generated waves in the Zhexi Reservoir, China, by a granular flow coupling model

Huang

Yin

Wang

et al. 2017

Nat. Hazards Earth Syst. Sci.

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Abstract. A rocky granular flow is commonly formed after the failure of rocky bank slopes. An impulse wave disaster may also be initiated if the rocky granular flow rushes into a river with a high velocity. Currently, the granular masswater body coupling study is an important trend in the field of landslide-induced impulse waves. In this paper, a full coupling numerical model for landslide-induced impulse waves is developed based on a non-coherent granular flow equation, i.e., the Mih equation. In this model, the Mih equation for continuous non-coherent granular flow controls movements of sliding mass, the two-phase flow equation regulates the interaction between sliding mass and water, and the renormalization group (RNG) turbulence model governs the movement of the water body. The proposed model is validated and applied for the 2014 Tangjiaxi landslide of the Zhexi Reservoir located in Hunan Province, China, to analyze the characteristics of both landslide motion and its following impulse waves. On 16 July 2014, a rocky debris flow was formed after the failure of the Tangjiaxi landslide, damming the Tangjiaxi stream and causing an impulse wave disaster with three dead and nine missing bodies. Based on the full coupling numerical analysis, the granular flow impacts the water with a maximum velocity of about 22.5 m s −1 . Moreover, the propagation velocity of the generated waves reaches up to 12 m s −1 . The maximum calculated run-up of 21.8 m is close enough to the real value of 22.7 m. The predicted landslide final deposit and wave run-up heights are in a good agreement with the field survey data. These facts verify the ability of the proposed model for simulating the real impulse wave generated by rocky granular flow events.

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Section: Landslide Movement Processmentioning

confidence: 90%

Section: Governing Equations Of Fluid Flowmentioning

confidence: 99%

Section: Governing Equations Of Fluid Flowmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Analysis of the Tangjiaxi landslide-generated waves in the Zhexi Reservoir, China, by a granular flow coupling model

Huang

Yin

Wang

et al. 2017

Nat. Hazards Earth Syst. Sci.

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Some giant submarine landslides do not produce large tsunamis

Løvholt

Bondevik

Laberg

et al. 2017

Geophysical Research Letters

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Landslides are the second most important cause of tsunamis after earthquakes, and their potential for generating large tsunamis depend on the slide process. Among the world's largest submarine landslides is the Storegga Slide that generated a large tsunami over an ocean‐wide scale, while no traces of a tsunami generated from the similar and nearby Trænadjupet Slide have been found. Previous models for such landslide tsunamis have not been able to capture the complexity of the landslide processes and are at odds with geotechnical and geomorphological data that reveal retrogressive landslide development. The tsunami generation from these massive events are here modeled with new methods that incorporate complex retrogressive slide motion. We show that the tsunamigenic strength is closely related to the retrogressive development and explain, for the first time, why similar giant landslides can produce very different tsunamis, sometimes smaller than anticipated. Because these slide mechanisms are common for submarine landslides, modeling procedures for dealing with their associated tsunamis should be revised.

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New methodology for computing tsunami generation by subaerial landslides: Application to the 2015 Tyndall Glacier landslide, Alaska

George

Iverson

Cannon

2017

Geophysical Research Letters

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Landslide‐generated tsunamis pose significant hazards and involve complex, multiphase physics that are challenging to model. We present a new methodology in which our depth‐averaged two‐phase model D‐Claw is used to seamlessly simulate all stages of landslide dynamics as well as tsunami generation, propagation, and inundation. Because the model describes the evolution of solid and fluid volume fractions, it treats both landslides and tsunamis as special cases of a more general class of phenomena. Therefore, the landslide and tsunami can be efficiently simulated as a single‐layer continuum with evolving solid‐grain concentrations, and with wave generation via direct longitudinal momentum transfer—a dominant physical mechanism that has not been previously addressed in this manner. To test our methodology, we used D‐Claw to model a large subaerial landslide and resulting tsunami that occurred on 17 October 2015, in Taan Fjord near the terminus of Tyndall Glacier, Alaska. Modeled shoreline inundation patterns compare well with those observed in satellite imagery.

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Numerical modeling of subaerial and submarine landslide-generated tsunami waves—recent advances and future challenges

Cited by 160 publications

References 389 publications

Analysis of the Tangjiaxi landslide-generated waves in the Zhexi Reservoir, China, by a granular flow coupling model

Analysis of the Tangjiaxi landslide-generated waves in the Zhexi Reservoir, China, by a granular flow coupling model

Some giant submarine landslides do not produce large tsunamis

New methodology for computing tsunami generation by subaerial landslides: Application to the 2015 Tyndall Glacier landslide, Alaska

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