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Modeling of Tsunami Waves in the Southern Strait of Georgia Generated by a Potential Subaerial Landslide

2022· article· en· W4312973147 on OpenAlexaffabout
Fatemeh Nemati, Lucinda J. Leonard, Richard E. Thomson, Gwyn Lintern

Bibliographic record

VenueOCEANS 2022, Hampton Roads · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and environmental studies
Canadian institutionsGeological Survey of CanadaNatural Resources CanadaFisheries and Oceans CanadaOcean Networks Canada SocietyUniversity of Victoria
Fundersnot available
KeywordsSubaerialLandslideGeologySeismologyTsunami wave

Abstract

fetched live from OpenAlex

Significant tsunami waves can be generated in coastal region of the World Ocean by submarine landslides, slumps, rockfalls, and avalanches. On the Cascadia subduction zone, which lies along the Pacific coast of southern British Columbia and northern Washington, tsunami hazards are dominated by megathrust events. Much of the southern Strait of Georgia is partially sheltered from such events but remains highly vulnerable to local landslide-triggered waves, which may cause significant damage with little or no warning. Despite their potential impact, landslide tsunamis in the Strait of Georgia have received little attention. In this study, we focus on modeling tsunami waves from a potential subaerial rigid landslide on the steep northeastern slope of Orcas Island, Washington State. Landslides here may be triggered by strong shaking during earthquakes on the Cascadia megathrust or the active Skipjack Island fault zone, near the southern boundary of the Canadian Fraser River delta. Using new high-resolution bathymetric and topographic data, we constrain a worst-case scenario “rigid” subaerial failure along NE Orcas Island. We calculate the initial computation of the landslide volume using the GIS software ESRI ArcGIS 10.7 (0.17 cubic kilometers). A three-dimensional non-hydrostatic model (NHWAVE) is used in conjunction with a two-dimensional completely nonlinear and dispersive model (FUNWAVE-TVD) to simulate the subaerial rigid landslide and tsunami generation and propagation. NHWAVE solves the Navier-Stokes equations associated with the complex behavior of the landslide source, and FUNWAVE-TVD solves high-order Boussinesq-type wave propagation equations. The simulated failure travels downslope at a peak velocity of 13.64 m/s before coming to a stop after about 85 seconds due to the friction between the slide and the underlying seabed. The strongest waves and currents would be located on the coastlines adjacent to and opposite the failure zone. Wave amplitudes rapidly diminish with distance from the source location. Near the tsunami source, the wave amplitude is around 17 to 19 m, with a runup of up to 28 m. Inundation maps reveal particularly vulnerable locations on the northern and eastern sides of Orcas Island. The southern end of Boundary Bay would experience high waves and strong currents.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.194
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.175
Teacher spread0.167 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes2
Has abstractyes

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