Formulation of a Surf-Similarity Parameter to Predict Tsunami Characteristics at the Coast

Authors

  • Jochem Roubos Van den Herik, Sliedrecht, The Netherlands
  • Toni Glasbergen Vinkeveen, The Netherlands
  • Bas Hofland Delft University of Technology, Delft, The Netherlands
  • Jeremy Bricker University of Michigan, Michigan, United States
  • Marcel Zijlema Delft University of Technology, Delft, The Netherlands
  • Miguel Esteban Waseda University, Tokyo, Japan
  • Marion Tissier Delft University of Technology, Delft, The Netherlands

DOI:

https://doi.org/10.48438/jchs.2021.0009

Keywords:

Tsunami, Surf-similarity parameter, undular bore, wave front breaking, surging, continental shelf, bay geometry

Abstract

To calculate tsunami forces on coastal structures it is of great importance to determine the shape of the tsunami front reaching the coast. Based on literature reviews, analytical reasoning, video footage, and numerical modelling it is concluded that both the continental shelf slope and the bay geometry have a significant influence on the transformation of a tsunami wave near the coastline. After conducting 1D and 2DH wave simulations, a distinction is made between three types of tsunami waves; a non-breaking front (surging), a breaking front and an undular bore breaking front. Tsunami waves transform into these three wave types over a steep continental shelf, an intermediate sloped continental shelf, and a gentle sloped continental shelf, respectively. A new tsunami surf-similarity parameter is proposed to quantitatively predict the type of wave at the coastline, which was validated based on observations during the 2011 Tohoku Earthquake and Tsunami.

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Published

2021-12-17

How to Cite

Roubos, J., Glasbergen, T., Hofland, B. ., Bricker, J., Zijlema, M., Esteban, M., & Tissier, M. (2021). Formulation of a Surf-Similarity Parameter to Predict Tsunami Characteristics at the Coast. Journal of Coastal and Hydraulic Structures, 1. https://doi.org/10.48438/jchs.2021.0009

Issue

Vol. 1 (2021)

Section

Articles

License

Copyright (c) 2021 Jochem Roubos, Toni Glasbergen, Bas Hofland, Jeremy Bricker, Marcel Zijlema, Miguel Esteban, Marion Tissier

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The authors declare that they have either created all material in the manuscript themselves, or have traceable permission from the copyright holder to use it in the present manuscript. They acknowledge that the manuscript will be placed on the JCHS website under the CC-BY 4.0 licence. They will retain copyright of the paper, and will remain fully liable for any breaches of copyright or other Intellectual Property violations arising from the manuscript.