New computational methods in tsunami science

J Behrens, F Dias - … Transactions of the Royal Society A …, 2015 - royalsocietypublishing.org
Tsunamis are rare events with severe consequences. This generates a high demand on
accurate simulation results for planning and risk assessment purposes because of the low …

The hydrodynamics of landslide tsunamis: current analytical models and future research directions

E Renzi, P Sammarco - Landslides, 2016 - Springer
Landslide-generated tsunamis are lesser-known yet equally destructive than earthquake
tsunamis. Indeed, the highest tsunami wave recorded in recent history was generated by a …

[PDF][PDF] TSUNAMI HAZARD MAPPING BASED ON COASTAL SYSTEM ANALYSIS USING HIGHRESOLUTION UNMANNED AERIAL VEHICLE (UAV) IMAGERY (Case …

AA WIBOWO, DN SARI, KD PRIYONO… - Geographia …, 2023 - technicalgeography.org
The Kukup Coastal Area is located in the southern part of Java's coastal area, which has an
active megathrust subduction zone. The dynamics of tectonic activities in this zone trigger …

Dispersive shallow water waves

G Khakimzyanov, D Dutykh, Z Fedotova… - Lecture Notes in …, 2020 - Springer
The present book is entirely devoted to the development of mathematical models and
numerical algorithms to simulate the generation and propagation of long surface water …

Statistical emulation of landslide-induced tsunamis at the Rockall Bank, NE Atlantic

DM Salmanidou, S Guillas… - Proceedings of the …, 2017 - royalsocietypublishing.org
Statistical methods constitute a useful approach to understand and quantify the uncertainty
that governs complex tsunami mechanisms. Numerical experiments may often have a high …

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 …

Physics-informed neural networks for tsunami inundation modeling

R Brecht, E Cardoso-Bihlo, A Bihlo - arXiv preprint arXiv:2406.16236, 2024 - arxiv.org
We use physics-informed neural networks for solving the shallow-water equations for
tsunami modeling. Physics-informed neural networks are an optimization based approach …

Analysis and modeling of a landslide-induced tsunami-like wave across the Truong river in Quang Nam province, Vietnam

DM Duc, DQ Khang, DM Duc, DM Ngoc, DT Quynh… - Landslides, 2020 - Springer
Landslide-induced waves are one of the most disastrous hazards that can post a great threat
to human lives and properties. At about 4: 00 pm, 5 November 2017, a landslide-induced …

Numerical Investigation of Tsunami Wave Force Acting on Twin Box-Girder Bridges

Q Yan, X Li, B Jia, X Yu, Y Luo - Journal of Marine Science …, 2024 - search.proquest.com
Earthquakes in coastal areas frequently trigger tsunami waves, posing significant threats to
low-lying coastal bridges. Investigating extreme wave force on bridge deck is crucial for …

Regional tsunami hazard from splay faults in the Gulf of Oman

A Rashidi, D Dutykh, N Keshavarz, L Audin - Ocean Engineering, 2022 - Elsevier
The present study evaluates the tsunami hazard from splay thrust and normal faults in the
western Makran, Gulf of Oman for the first time. We interpret splay thrust and normal faults in …