Triggers and consequences of landslide-induced impulse waves – 3D dynamic reconstruction of the Taan Fiord 2015 tsunami event

Franco, Andrea; Moernaut, Jasper; Schneider‐Muntau, Barbara; Strasser, Michael; Gems, Bernhard

doi:10.1016/j.enggeo.2021.106384

Cited by 21 publications

(21 citation statements)

References 65 publications

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“…On 17 October 2015, after a period of heavy rainfall, a massive landslide occurred at the terminus of Tyndall Glacier and induced a tsunami with a runup of up to 193 m [2], which was the fourth-highest tsunami ever recorded in the world [46]. The landslide released approximately 50 Mm 3 [47] of rock into the Taan Fiord. The length and width of this landslide are approximately 1630 m and 915 m, respectively.…”

Section: The 2015 Taan Fiord Tsunamigenic Landslide Eventmentioning

confidence: 99%

“…No one directly observed this landslide event. Although field surveys have been conducted and related research works have been performed [1][2][3]35,36,[47][48][49], the triggering mechanism of this landslide is still not elucidated. Seismic waves from an earthquake about 500 km away arrived shortly before this landslide, and a few seconds of mild shaking occurred [2], which could also be a possible trigger of this event.…”

Section: The 2015 Taan Fiord Tsunamigenic Landslide Eventmentioning

confidence: 99%

“…Bloom et al [36] investigated the characteristic modifications of the fan deltas in Taan Fiord, which were associated with the tsunami. Franco et al [47] simulated a tsunami event in Taan Fiord with Flow-3D to verify the validity of the applied numerical models in reproducing the wave dynamics. Although many scientists have analyzed and studied the tsunami generated after the landslide event and its effects, only rudimentary related geotechnical investigations are performed on the 2015 Taan Fiord landslide (called the Taan landslide later in this paper).…”

Section: The 2015 Taan Fiord Tsunamigenic Landslide Eventmentioning

confidence: 99%

“…The topographical relief of this area has changed due to the collision between microplates and the influence of the external natural environment, e.g., the impact of the 2015 landslide event. The data collected with various remote-sensing methods were used to derive several Digital Elevation Models (DEM), from which essential information such as the topography and altitudes of different places in this area were collected [47]. Table 1 summarizes the different remote-sensing campaigns and the derived DEMs, which are used for analysis from 2000 to 2016.…”

Section: Geological and Structural Settingmentioning

confidence: 99%

“…The topographic surface after this catastrophic landslide was created by Haeussler et al [35]. In comparison to the DEMs of 2012 and 2016, the Arctic DEM-2014 shows significant elevation and horizontal offsets [47,52]. To obviate this disagreement, a re-projection and a co-registration were applied for the Artic DEM-2014.…”

Section: Geological and Structural Settingmentioning

confidence: 99%

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Engineering-Geological Analysis of a Subaerial Landslide in Taan Fiord, Alaska

et al. 2021

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On 17 October 2015, a large-scale subaerial landslide occurred in Taan Fiord, Alaska, which released about 50 Mm3 of rock. This entered the water body and triggered a tsunami with a runup of up to 193 m. This paper aims to simulate the possible formation of a weak layer in this mountainous slope until collapse, and to analyze the possible triggering factors of this landslide event from a geotechnical engineering perspective so that a deeper understanding of this large landslide event can be gained. We analyzed different remote-sensing datasets to characterize the evolution of the coastal landslide process. Based on the acquired remote-sensing data, Digital Elevation Models were derived, on which we employed a 2D limit equilibrium method in this study to calculate the safety factor and compare the location of the associated sliding surface with the most probable actual location at which this landslide occurred. The calculation results reflect the development process of this slope collapse. In this case study, past earthquakes, rainfall before this landslide event, and glacial melting at the toe may have influenced the stability of this slope. The glacial retreat is likely to be the most significant direct triggering factor for this slope failure. This research work illustrates the applicability of multi-temporal remote sensing data of slope morphology to constrain preliminary slope stability analyses, aiming to investigate large-scale landslide processes. This interdisciplinary approach confirms the effectiveness of the combination of aerial data acquisition and traditional slope stability analyses. This case study also demonstrates the significance of a climate change for landslide hazard assessment, and that the interaction of natural hazards in terms of multi-hazards cannot be ignored.

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Section: The 2015 Taan Fiord Tsunamigenic Landslide Eventmentioning

confidence: 99%

Section: The 2015 Taan Fiord Tsunamigenic Landslide Eventmentioning

confidence: 99%

Section: The 2015 Taan Fiord Tsunamigenic Landslide Eventmentioning

confidence: 99%

Section: Geological and Structural Settingmentioning

confidence: 99%

Section: Geological and Structural Settingmentioning

confidence: 99%

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Engineering-Geological Analysis of a Subaerial Landslide in Taan Fiord, Alaska

et al. 2021

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Sensitivitätsanalyse der unterschiedlichen Einflussfaktoren auf numerische Untersuchungen von Hangrutschungen

Schneider‐Muntau

Dai

Fellin

2022

Geomechanics and Tunnelling

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Calculation approaches, shear strength approaches, material parameters and external influences have a significant impact on the results of slope stability analyses. This influence can be quantified as influence on the safety factor in sensitivity analyses. As expected, a lower shear strength of the soil or a higher groundwater flow through a slope lead to lower factors of safety. In the two case studies considered here, it is evident that the parameter with the highest sensitivity of the safety factor is not unique. This most influencing parameter depends on the boundary conditions and the geometry of the landslide. In addition to the safety factor, the above parameters also strongly influence the geometry of the failure mechanism. Here, for example, different permeability coefficients for stratified soil and the consideration of a nonlinear shear strength criterium show significant changes in the failure geometry. Therefore, the modelled failure geometry has to be considered in addition to an certain safety factor for the validation of a landslide modelling.

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Recent advances in the investigation of a slow‐moving landslide in the Three Gorges Reservoir area, China

Wang

2022

River

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Many slow-moving landslides in the Three Gorges Reservoir (TGR) area exhibit episodic movement patterns in response to variations in the reservoir water level and seasonal rainfall. These landslides are typically characterized by pre-existing shear zones composed of thick, clay-rich layers that are sensitive to hydrological forcings. The residual shear strength of these shear zones is believed to control the dynamic movements of these landslides. In this article, we review the recent advances in the investigation of a large slow-moving landslide, the Huangtupo landslide, in the TGR area. This landslide has been chosen as a benchmark for studying similar landslides in this area. This review focuses mainly on the research carried out by the authors and their collaborators over the last 5 years on topics including the landslide mechanisms and forcings, rheological behaviors and constitutive models of the landslide materials, the numerical simulation of clastic shear-zone soils, and the effects landslide-induced tsunamis would have on the ships in the reservoir. In addition, new perspectives and challenges for future research on slow-moving landslides are provided.

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Triggers and consequences of landslide-induced impulse waves – 3D dynamic reconstruction of the Taan Fiord 2015 tsunami event

Cited by 21 publications

References 65 publications

Engineering-Geological Analysis of a Subaerial Landslide in Taan Fiord, Alaska

Engineering-Geological Analysis of a Subaerial Landslide in Taan Fiord, Alaska

Sensitivitätsanalyse der unterschiedlichen Einflussfaktoren auf numerische Untersuchungen von Hangrutschungen

Recent advances in the investigation of a slow‐moving landslide in the Three Gorges Reservoir area, China

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