Machine Learning Algorithms for Real-time Tsunami Inundation Forecasting: A Case Study in Nankai Region
Sign Up to like & getrecommendations! Published in 2019 at "Pure and Applied Geophysics"
DOI: 10.1007/s00024-019-02364-4
Abstract: The most acceptable method to estimate tsunami inundation caused by a submarine earthquake is by conducting a nonlinear tsunami simulation. However, this method has the disadvantages of a relatively high computational cost and the necessity… read more here.
Keywords: tsunami inundation; machine learning; real time; study ... See more keywords
The Tsunami Inundation Hazard of the Maltese Islands (Central Mediterranean Sea): A Submarine Landslide and Earthquake Tsunami Scenario Study
Sign Up to like & getrecommendations! Published in 2019 at "Pure and Applied Geophysics"
DOI: 10.1007/s00024-019-02388-w
Abstract: The tsunami hazard for the Maltese Islands is poorly defined, and historic records are available for only two recent events. Most of the population and touristic infrastructure of the archipelago is concentrated along the eastern… read more here.
Keywords: tsunami inundation; tsunami; maltese islands; hazard maltese ... See more keywords
Early forecasting of tsunami inundation from tsunami and geodetic observation data with convolutional neural networks
Sign Up to like & getrecommendations! Published in 2021 at "Nature Communications"
DOI: 10.1038/s41467-021-22348-0
Abstract: Rapid and accurate hazard forecasting is important for prompt evacuations and reducing casualties during natural disasters. In the decade since the 2011 Tohoku tsunami, various tsunami forecasting methods using real-time data have been proposed. However,… read more here.
Keywords: tsunami inundation; neural networks; tsunami; convolutional neural ... See more keywords