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

Operational TEWS play a key role in reducing tsunami impact on populated coastal areas around the world event of an earthquake-generated tsunami. Traditionally, these systems NEAM region have relied implementation decision matrices. The very short arrival times waves from generation to this made it not possible use real-time on-the-fly simulations produce more accurate alert levels. In cases, when time restriction is so demanding, alternative matrices datasets precomputed scenarios. paper we propose neural networks predict maximum height and context TEWS. Different were trained solve problems. Additionally, ensemble techniques used obtain better results.