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This recipe aims at proposing a modelling tool to infer tsunami arrival times and maximum wave heights at selected points of interest (PoI) for an operational tsunami early warning system. The operational tool is based on the use of machine learning techniques, more specifically, on neural networks models. The methodoloy is applied prototypically for the coasts of Huelva and Cádiz, on the Atlantic coast of Southern Spain. The methodology proposed here can be applied to any other prone-to-tsunami coastal area.

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R23—Use of Neural Networks for Tsunami Arrival Time and Maximum Height Prediction

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Juan Francisco Rodríguez Gálvez,
  • Jorge Macías

摘要

This recipe aims at proposing a modelling tool to infer tsunami arrival times and maximum wave heights at selected points of interest (PoI) for an operational tsunami early warning system. The operational tool is based on the use of machine learning techniques, more specifically, on neural networks models. The methodoloy is applied prototypically for the coasts of Huelva and Cádiz, on the Atlantic coast of Southern Spain. The methodology proposed here can be applied to any other prone-to-tsunami coastal area.