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Implementation and validation of the TIMPULSE-SIM model for predicting tsunami wave behavior in the 2024 Kyushu, Hyuganada sea and 2011 Tohoku, Honshu tsunamis in Japan region

Author

Listed:
  • E. Syed Mohamed

    (B. S. Abdur Rahman Crescent Institute of Science and Technology)

  • M. Yasmin Regina

    (B. S. Abdur Rahman Crescent Institute of Science and Technology)

Abstract

Due to increases in tsunamigenic seismic occurrences, accurate modelling of tsunami waves plays a vital role in forecasting their behaviour and protecting humans and nature from catastrophic risk. The alternative newly developed TIMPULSE-SIM model is utilized for forecasting all three phases of seismic/earthquake-induced tsunami waves. The major purpose of this modeling is to predict the earliest arrival time of tsunami with minimal calculation time. This study investigates the generation and propagation phase of tsunami. The capability of the model is analyzed by implementing and testing of this model to the two Japan subduction zone seismic tsunami events are, 2024 Kyushu, Hyuganada Sea earthquake tsunami and, 2011 Tohoku tsunami in Pacific ocean region. More than 90% of accuracy attained from this model by testing the simulated outcomes with the observed historical data and other existing model that emphasize the model’s reliability. The validation highlights the model's effectiveness in accurately estimating tsunami risks, hence improving our capacity to predict and prepare for future tsunami catastrophes.

Suggested Citation

  • E. Syed Mohamed & M. Yasmin Regina, 2025. "Implementation and validation of the TIMPULSE-SIM model for predicting tsunami wave behavior in the 2024 Kyushu, Hyuganada sea and 2011 Tohoku, Honshu tsunamis in Japan region," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(6), pages 6921-6953, April.
    • Handle: RePEc:spr:nathaz:v:121:y:2025:i:6:d:10.1007_s11069-024-07059-1
    DOI: 10.1007/s11069-024-07059-1
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