The August 27, 2014, rock avalanche and related impulse water waves in Fuquan, Guizhou, China

Xing, Aiguo; Xu, Qiang; Zhu, Yao-Qiang; Ji-liang, Zhu; Jiang, Yao

doi:10.1007/s10346-016-0679-5

Cited by 31 publications

(11 citation statements)

References 48 publications

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“…Contour lines of normalized residuals are provided in Fig. 4, indicating that the inversion converged to the actual landslide location (Xing et al 2016;Lin et al 2018) with an error of ~ 3.0 km. The best-fitting landslide location allows us to confirm that the seismic energy recorded by seismic stations was indeed generated by the landslide.…”

Section: Landslide Force Historymentioning

confidence: 83%

“…A catastrophic landslide occurred at about 8:30 p.m. (Beijing Time, UTC + 8, used throughout this paper) on August 27, 2014, in Fuquan, Guizhou, China. After the movement on the slope, the sliding mass plunged into the water-filled quarry in front, inducing impulse water waves that destroyed two villages, damaged 77 houses, killed 23 persons and injured 22 others (Xing et al 2016;Lin et al 2018). As shown in Fig.…”

Section: The Xiaoba Landslidementioning

confidence: 99%

“…Zone a consists of the quarry in front of the source area and part of the opposite slope at the southeast side and collects most of the deposited material with a volume of approximately 1.1 million m 3 . Zones b, c and d are located to the east of zone a, and their depositional volumes are 0.17, 0.15 and 0.2 million m 3 , respectively (Xing et al 2016). Field investigations, deformation monitoring and numerical analyses reveal that unfavorable geological structure in the source area was a determinant precondition, and the combined effects of excavation and continuous rainfall were essential factors that directly triggered the landslide (Lin et al 2018).…”

Section: The Xiaoba Landslidementioning

confidence: 99%

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Variation patterns of landslide basal friction revealed from long-period seismic waveform inversion

Huang

2019

Nat Hazards

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A catastrophic landslide struck the Xiaoba village in Fuquan, Guizhou, southwestern China at about 8:30 p.m. (Beijing Time, UTC + 8) on August 27, 2014. The landslide and induced impulse water waves destroyed two villages and killed 23 persons. By reprocessing seismic signals from a seismic network deployed in the surrounding area of the landslide, we recognized the event from low-frequency seismic signals and subsequently performed a long-period seismic waveform inversion to obtain its force–time history. The inversion results reveal that the maximum force for the landslide is 5 × 109 N, and the duration of the landslide is 38.4 s. The landslide reached its maximum velocity of 12.4 m/s at 13.2 s after its initiation, and the mass center plugged into the quarry at 24.2 s. Based on the inversion results, we estimated basal friction of the landslide. We found the friction coefficient rapidly reduces to a relatively steady-state value of ~ 0.4 at a steady-state distance of 35 m and subsequently reduces in a near-linear manner that satisfies the empirical formula $$ \mu = - 1.4d + 0.44 $$μ=-1.4d+0.44, where $$ d $$d is sliding distance in km. The reduction in friction revealed by the formula is compatible with the finding of previous studies for landslides of similar volume in landslide acceleration stage. However, our result does not make it possible for the friction coefficient to increase again in landslide deceleration stage that a velocity-dependent friction law would allow. The friction variation patterns can be used to constrain input parameters in numerical landslide simulation, which can predicate runout distance and deposit areas for massive landslides to carry out landslide hazard assessment.

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Section: Landslide Force Historymentioning

confidence: 83%

Section: The Xiaoba Landslidementioning

confidence: 99%

Section: The Xiaoba Landslidementioning

confidence: 99%

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Variation patterns of landslide basal friction revealed from long-period seismic waveform inversion

Huang

2019

Nat Hazards

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“…Less focus has been directed toward accurately modeling the physics of landslide initiation and motion and the evolving landslide-water interaction. Most modeling efforts that do seek to resolve these earlier stages of the landslide wave-generation process can be broadly categorized as follows: (1) approaches that utilize an independent landslide model that is used to generate boundary conditions for a wave-propagation model [e.g., Adabie et al, 2012;Xing et al, 2016;Grilli et al, 2009], (2) variable-density 3-D multifluid models [e.g., Abadie et al, 2010;Horrillo et al, 2013], and (3) depth-averaged multilayered models in which the landslide material is assumed to completely underlie the water body [e.g., Fernández-Nieto et al, 2010;Ma et al, 2015;Kirby et al, 2016].…”

Section: Introductionmentioning

confidence: 99%

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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“…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%

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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The August 27, 2014, rock avalanche and related impulse water waves in Fuquan, Guizhou, China

Cited by 31 publications

References 48 publications

Variation patterns of landslide basal friction revealed from long-period seismic waveform inversion

Variation patterns of landslide basal friction revealed from long-period seismic waveform inversion

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

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

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