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Use of Neural Networks for Tsunami Maximum Height and Arrival Time Predictions

Departamento de Análisis Matemático, Estadística e Investigación Operativa y Matemática Aplicada, Campus de Teatinos, s/n, University of Málaga, 29071 Málaga, Spain
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Academic Editor: Fabio Vittorio De Blasio
GeoHazards 2022, 3(2), 323-344; https://doi.org/10.3390/geohazards3020017
Received: 3 March 2022 / Revised: 28 April 2022 / Accepted: 26 May 2022 / Published: 13 June 2022
(This article belongs to the Special Issue Modelling and Numerical Simulation of Tsunami)
Operational TEWS play a key role in reducing tsunami impact on populated coastal areas around the world in the event of an earthquake-generated tsunami. Traditionally, these systems in the NEAM region have relied on the implementation of decision matrices. The very short arrival times of the tsunami waves from generation to impact in this region have made it not possible to use real-time on-the-fly simulations to produce more accurate alert levels. In these cases, when time restriction is so demanding, an alternative to the use of decision matrices is the use of datasets of precomputed tsunami scenarios. In this paper we propose the use of neural networks to predict the tsunami maximum height and arrival time in the context of TEWS. Different neural networks were trained to solve these problems. Additionally, ensemble techniques were used to obtain better results. View Full-Text
Keywords: tsunami modeling; deep learning; neural network; maximum height; arrival time tsunami modeling; deep learning; neural network; maximum height; arrival time
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MDPI and ACS Style

Rodríguez, J.F.; Macías, J.; Castro, M.J.; de la Asunción, M.; Sánchez-Linares, C. Use of Neural Networks for Tsunami Maximum Height and Arrival Time Predictions. GeoHazards 2022, 3, 323-344. https://doi.org/10.3390/geohazards3020017

AMA Style

Rodríguez JF, Macías J, Castro MJ, de la Asunción M, Sánchez-Linares C. Use of Neural Networks for Tsunami Maximum Height and Arrival Time Predictions. GeoHazards. 2022; 3(2):323-344. https://doi.org/10.3390/geohazards3020017

Chicago/Turabian Style

Rodríguez, Juan F., Jorge Macías, Manuel J. Castro, Marc de la Asunción, and Carlos Sánchez-Linares. 2022. "Use of Neural Networks for Tsunami Maximum Height and Arrival Time Predictions" GeoHazards 3, no. 2: 323-344. https://doi.org/10.3390/geohazards3020017

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