Framework for probabilistic tsunami hazard assessment considering the effects of sea-level rise due to climate change

AK Alhamid, M Akiyama, H Ishibashi, K Aoki… - Structural Safety, 2022 - Elsevier
Sea-level rise due to climate change could significantly exacerbate tsunami disasters since
the sea level is a critical parameter affecting the intensity of tsunamis. Considering the …

Application of factorization machine with quantum annealing to hyperparameter optimization and metamodel‐based optimization in granular flow simulations

J Xiao, K Endo, M Muramatsu… - … for Numerical and …, 2024 - Wiley Online Library
This study examined the applicability of factorization machines with quantum annealing
(FMQA) to the field of landslide risk assessment for two specific black‐box optimization …

Probabilistic quantification of tsunami current hazard using statistical emulation

D Gopinathan, M Heidarzadeh… - Proceedings of the …, 2021 - royalsocietypublishing.org
In this paper, statistical emulation is shown to be an essential tool for the end-to-end
physical and numerical modelling of local tsunami impact, ie from the earthquake source to …

Probabilistic tsunami hazard assessment based on the Gutenberg–Richter law in eastern Shikoku, Nankai subduction zone, Japan

T Baba, M Kamiya, N Tanaka, Y Sumida… - Earth, Planets and …, 2022 - Springer
Earthquake and tsunami predictions comprise huge uncertainties, thus necessitating
probabilistic assessments for the design of defense facilities and urban planning. In recent …

Probabilistic, high-resolution tsunami predictions in northern Cascadia by exploiting sequential design for efficient emulation

DM Salmanidou, J Beck, P Pazak… - Natural Hazards and …, 2021 - nhess.copernicus.org
The potential of a full-margin rupture along the Cascadia subduction zone poses a
significant threat over a populous region of North America. Previous probabilistic tsunami …

[HTML][HTML] Rapid tsunami force prediction by mode-decomposition-based surrogate modeling

K Tozato, S Takase, S Moriguchi… - … Hazards and Earth …, 2022 - nhess.copernicus.org
This study presents a framework for rapid tsunami force predictions by the application of
mode-decomposition-based surrogate modeling with 2D–3D coupled numerical …

Sensitivity analysis on critical combinations of input parameters in DEM granular flow analysis

J Xiao, K Tozato, R Nomura, Y Otake, K Terada… - Acta Geotechnica, 2024 - Springer
Granular flow is a typical process that occurs in sediment disasters, including rockfalls,
avalanches and landslides, etc. The runout distance in granular flow is closely associated …

Scenario superposition method for real‐time tsunami prediction using a Bayesian approach

S Fujita, R Nomura, S Moriguchi… - Journal of …, 2024 - Wiley Online Library
In this study, we propose a scenario superposition method for real‐time tsunami wave
prediction. In the offline phase, prior to actual tsunami occurrence, hypothetical tsunami …

Early warning for maximum tsunami heights and arrival time based on an artificial neural network

MJ Song, YS Cho - Coastal Engineering, 2024 - Elsevier
Tsunamis can cause extensive damages and loss of lives in coastal communities. Early
warning for tsunami can help save lives and mitigate damages from tsunamis. This study …

Probabilistic tsunami hazard assessment in meso and macro tidal areas. Application to the Cádiz Bay, Spain

M González, JA Álvarez-Gómez… - Frontiers in Earth …, 2021 - frontiersin.org
Tsunami hazard can be analyzed from both deterministic and probabilistic points of view.
The deterministic approach is based on a “credible” worst case tsunami, which is often …