A three-dimensional non-hydrostatic model for tsunami waves generated by submarine landslides

Ai, Congfang; Ma, Yuxiang; Yuan, Changfu; Xie, Zhihua; Dong, Guohai

doi:10.1016/j.apm.2021.02.014

Cited by 15 publications

(3 citation statements)

References 35 publications

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“…Tsunami modeling packages generally require significant time and computational resources to run, a limitation only more prevalent when needing to simulate a large number of synthetic tsunami events (Abrahams et al., 2023; Ai et al., 2021; Davies et al., 2022). One novel, yet increasingly popular method to overcome this issue is the utilization of statistical emulation now breaking new frontiers in terms of the number of scenarios, locations, or scales used (e.g., Ehara et al., 2022; Gopinathan et al., 2021; Salmanidou et al., 2021).…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Landslide Tsunami Estimation in the Makassar Strait, Indonesia, Using Statistical Emulation

Dignan

Hayward

Salmanidou

et al. 2023

Earth and Space Science

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This paper presents a significant advancement in the understanding of tsunamigenic landslide hazard across the length of the Makassar Strait in Indonesia. We use statistical emulation across the length of the continental slope to conduct a probabilistic assessment of tsunami hazard on a regional scale, across 14 virtual coastal gauges. Focusing on the potential maximum wave amplitudes (distance between the wave crest and the still‐water level) from possible tsunamigenic landslide events, we generate predictions from Gaussian Process emulators fitted to input‐outputs from 50 training scenarios. We show that the most probable maximum wave amplitudes in the majority of gauges are between 1 and 5 m, with the maximum predicted amplitudes reaching values of up to 10 m on the eastern coast, and up to 50 m on the western coast. We also explore the potential use of Gaussian multivariate copulas to sample emulator prediction input values to create a more realistic distribution of volumes along the continental slope. The novel use of statistical emulation across a whole slope enables the probabilistic assessment of tsunami hazard due to landslides on a regional scale. This area is of key interest to Indonesia since the new capital will be established in the East Kalimantan region on the western side of the Makassar Strait.

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Section: Introductionmentioning

confidence: 99%

Probabilistic Landslide Tsunami Estimation in the Makassar Strait, Indonesia, Using Statistical Emulation

Dignan

Hayward

Salmanidou

et al. 2023

Earth and Space Science

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“…The development of nonhydrostatic models has evolved for more than twenty years. To date, non-hydrostatic models have been widely used in predictions of short surface waves (Ai et al, 2011;Ai et al, 2019a;Ma et al, 2012;Wu et al, 2010;Young et al,2009;andZijlema and Stelling, 2005), internal waves (Ai and Ding, 2016;Ai et al, 2021Ai et al, , 2021b,2 0 1 0 ; and Vasarmidis et al,2 0 1 9 ), tsunami waves (Ai et al, 2021a(Ai et al, , 2021bOishi et al, 2013;andPan et al,2020), and even wave-structure interactions (Ai and Jin, 2010;Ai et al, 2019b;,2 0 1 9 ; Ma et al, 2016;a n dRijnsdorp and Zijlema, 2016). In addition, Bristeau et al (2011) presented a two-dimensional vertical non-hydrostatic Saint-Venant model and used it to simulate a dam-break flow over a bump.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional non-hydrostatic model for dam-break flows

Ding

et al. 2022

Physics of Fluids

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A three-dimensional (3D) non-hydrostatic model is presented for the simulation of dam-break flows. The model solves the Reynoldsaveraged Navier-Stokes equations using the projection method. 3D computational grids are constructed from a two-dimensional horizontal unstructured mesh by adding horizontal layers in the vertical direction. Based on the horizontal unstructured grid system, horizontal advection terms are discretized by a momentum conservative scheme. The proposed model is validated with several physical experiments. The agreement between the model results and experimental data is generally good, which demonstrates the capability of the proposed model to resolve dam-break flows over flat and uneven bottoms with complex geometries. Moreover, the efficiency of the model is evaluated with 3D dam-break flow experiments. Comparisons between the non-hydrostatic model and the corresponding quasi-3D shallow water model are also performed, which confirm the role of non-hydrostatic effects in dam-break flows.

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“…Studies of this type confirm how the availability of proper datasets and processable formats represents the primary assumption of research. Additionally, various theoretical models must be quantified to obtain the expected added value (e.g., [9][10][11]). The topics and use cases range from the analysis of impacts in the case of prevalent ex-post assessment of tsunami hazards and related damages [12] to the maximum earthquake magnitude scenario [13], analysis of historical events such as the 1755 CE Lisbon earthquake and the largest historical tsunami ever impacting the Europe's Atlantic coasts [14], or confirming the existence of low-level tsunamis [15].…”

Section: Introductionmentioning

confidence: 99%

Tsunami-Related Data: A Review of Available Repositories Used in Scientific Literature

Nacházel

Babič

Baiguera

et al. 2021

Water

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Various organizations and institutions store large volumes of tsunami-related data, whose availability and quality should benefit society, as it improves decision making before the tsunami occurrence, during the tsunami impact, and when coping with the aftermath. However, the existing digital ecosystem surrounding tsunami research prevents us from extracting the maximum benefit from our research investments. The main objective of this study is to explore the field of data repositories providing secondary data associated with tsunami research and analyze the current situation. We analyze the mutual interconnections of references in scientific studies published in the Web of Science database, governmental bodies, commercial organizations, and research agencies. A set of criteria was used to evaluate content and searchability. We identified 60 data repositories with records used in tsunami research. The heterogeneity of data formats, deactivated or nonfunctional web pages, the generality of data repositories, or poor dataset arrangement represent the most significant weak points. We outline the potential contribution of ontology engineering as an example of computer science methods that enable improvements in tsunami-related data management.

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A three-dimensional non-hydrostatic model for tsunami waves generated by submarine landslides

Cited by 15 publications

References 35 publications

Probabilistic Landslide Tsunami Estimation in the Makassar Strait, Indonesia, Using Statistical Emulation

Probabilistic Landslide Tsunami Estimation in the Makassar Strait, Indonesia, Using Statistical Emulation

Three-dimensional non-hydrostatic model for dam-break flows

Tsunami-Related Data: A Review of Available Repositories Used in Scientific Literature

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