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Rapid Assessment of Tsunami Offshore Propagation and Inundation with D-FLOW Flexible Mesh and SFINCS for the 2011 Tōhoku Tsunami in Japan

  • Tim Leijnse

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

This study demonstrates the skills of D-FLOW Flexible Mesh (FM) and SFINCS (Super-Fast INundation of CoastS) in combination with the Delft Dashboard Tsunami Toolbox to numerically simulate tsunami offshore propagation and inundation based on the example of the 2011 Tōhoku tsunami in Japan. Caused by a megathrust earthquake, this is one of the most severe tsunami events in recent history, resulting in vast inundation and devastation of the Japanese coast. The comparison of the simulated with the measured offshore water levels at four DART buoys located in the north-western Pacific Ocean shows that especially the FM but also the SFINCS model accurately reproduce the observed tsunami propagation. The inundation observed at the Sendai coast is well reproduced by both models. All in all, the model outcomes are consistent with the findings gained in earlier simulation studies. Depending on the specific needs of future tsunami simulations, different possibilities for the application of both models are conceivable: (i) the exclusive use of FM to achieve high accuracy of the tsunami offshore propagation, with the option to use an all-in-one model domain (no nesting required) and to add tsunami sediment dynamics, (ii) the combined use of FM for the accurate simulation of the tsunami propagation and of SFINCS for the accurate and time efficient simulation of the onshore inundation and (iii) the exclusive use of SFINCS to get a reliable picture of the tsunami propagation and accurate results for the onshore inundation within seconds of computational time. This manuscript demonstrates the suitability of FM and SFINCS for the rapid and reliable assessment of tsunami propagation and inundation and discusses use cases of the three model combinations that form an important base for tsunami risk management.
Original languageEnglish
Article number453
Pages (from-to)1-16
Number of pages16
JournalJournal of Marine Science and Engineering
Volume9
Issue number5
Early online date22 Apr 2021
DOIs
Publication statusPublished - May 2021

Bibliographical note

This article belongs to the Special Issue: Modeling Waves Generated by Tsunamigenic Source

Funding

Funding: This research was funded by the Natural Hazards Deltares Strategic Research Program (11206875) and the DC—Impulse 2020—Maintaining and Extending Tsunami Modelling Capacity Within Deltares Program (I1000545-029). This research was funded by the Natural Hazards Deltares Strategic Research Program (11206875) and the DC?Impulse 2020?Maintaining and Extending Tsunami Modelling Capacity Within Deltares Program (I1000545-029). We thank Kees Nederhoff and Deepak Vatvani who created MATLAB post-processing scripts and provided fault segment data respectively, which were used as a base for the current study.

FundersFunder number
DC—Impulse 2020
Extending Tsunami Modelling Capacity Within Deltares Program
Maintaining and Extending Tsunami Modelling Capacity Within Deltares ProgramI1000545-029
Natural Hazards Deltares Strategic Research Program11206875

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 14 - Life Below Water
      SDG 14 Life Below Water

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