Machine learning-based tsunami inundation prediction derived from offshore observations
The world's largest and densest tsunami observing system gives us the leverage to develop
a method for a real-time tsunami inundation prediction based on machine learning. Our …
a method for a real-time tsunami inundation prediction based on machine learning. Our …
A review of approaches for submarine landslide-tsunami hazard identification and assessment
Submarine landslides can generate destructive tsunamis. Yet their recurrence intervals and
tsunamigenic mechanisms are poorly understood, hampering quantification of global …
tsunamigenic mechanisms are poorly understood, hampering quantification of global …
The sensitivity of tsunami impact to earthquake source parameters and manning friction in high-resolution inundation simulations
SJ Gibbons, S Lorito, M de la Asunción… - Frontiers in Earth …, 2022 - frontiersin.org
In seismically active regions with variable dominant focal mechanisms, there is considerable
tsunami inundation height uncertainty. Basic earthquake source parameters such as dip …
tsunami inundation height uncertainty. Basic earthquake source parameters such as dip …
Coastal tsunami prediction in Tohoku region, Japan, based on S-net observations using artificial neural network
Y Wang, K Imai, T Miyashita, K Ariyoshi… - Earth, Planets and …, 2023 - Springer
We present a novel method for coastal tsunami prediction utilizing a denoising autoencoder
(DAE) model, one of the deep learning algorithms. Our study focuses on the Tohoku coast …
(DAE) model, one of the deep learning algorithms. Our study focuses on the Tohoku coast …
Discriminating the occurrence of inundation in tsunami early warning with one-dimensional convolutional neural networks
Tsunamis are natural phenomena that, although occasional, can have large impacts on
coastal environments and settlements, especially in terms of loss of life. An accurate …
coastal environments and settlements, especially in terms of loss of life. An accurate …
Tsunami waveform forecasting at cooling water intakes of nuclear reactors with deep learning model
The Fukushima nuclear disaster highlights the importance of accurate and fast predictions of
tsunami hazard to critical coastal infrastructure to devise mitigation strategies in both long …
tsunami hazard to critical coastal infrastructure to devise mitigation strategies in both long …
The Multi‐Segment Complexity of the 2024 MW M_W 7.5 Noto Peninsula Earthquake Governs Tsunami Generation
The 1 January 2024, moment magnitude MW \left(M_W\right) 7.5 Noto Peninsula
earthquake ruptured in complex ways, challenging analysis of its tsunami generation. We …
earthquake ruptured in complex ways, challenging analysis of its tsunami generation. We …
[HTML][HTML] Development of a Bayesian network-based early warning system for storm-driven coastal erosion
Coastal hazards such as flooding and erosion can cause large economic and human
losses. Under this threat, early warning systems can be very cost-effective solutions for …
losses. Under this threat, early warning systems can be very cost-effective solutions for …
[HTML][HTML] A parallel machine learning-based approach for tsunami waves forecasting using regression trees
E Cesario, S Giampá, E Baglione, L Cordrie… - Computer …, 2024 - Elsevier
Following a seismic event, tsunami early warning systems (TEWSs) try to provide precise
forecasts of the maximum height of incoming waves at designated target points along the …
forecasts of the maximum height of incoming waves at designated target points along the …
Machine Learning in Coastal Engineering: Applications, Challenges, and Perspectives
M Abouhalima, L das Neves, F Taveira-Pinto… - Journal of Marine …, 2024 - mdpi.com
The integration of machine learning (ML) techniques in coastal engineering marks a
paradigm shift in how coastal processes are modeled and understood. While traditional …
paradigm shift in how coastal processes are modeled and understood. While traditional …