Project Details
Description
At the end of 2018, two consecutive tsunami events occurred in Indonesia. The first one was the 2018 Sulawesi earthquake and tsunami (SET) on September 28. The other was the 2018 Sunda Strait tsunami (SST) on December 22. These two tsunamis have one thing in common: they are not traditional earthquake tsunamis. The SET occurred with an earthquake of magnitude 7.5. However, only by an earthquake of this magnitude could not trigger a tsunami of 7 meters high or higher in this event. The SST was not event triggered by an earthquake. The tsunami suddenly arrived at about 9:27 PM in the local time. The causes of these two tsunami events still remain unknown. A submarine landslide or an additional seabed vertical displacement may play a role. To gain a deeper understanding of these tsunami events, finding the location of the tsunami source is especially important. This year's research will continue the results of the previous two years and will apply the developed tsunami impact intensity analysis method (IIA) and tsunami arrival analysis method (TATA) to analyze the tsunami source of SET. Furthermore, using the discontinuous double viscous flow model developed and published last year to perform a three-dimensional Slump-type tsunami simulation. Both the 1867 Keelung tsunami and the 1781 Kao-Ping tsunami in Taiwan’s history have pointed out that they may be non-seismic tsunamis. This research aims to grasp the potential non-seismic tsunami disasters through in-depth understanding of the source of the tsunami.
Status | Finished |
---|---|
Effective start/end date | 1/08/21 → 31/01/23 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
Keywords
- Non-seismic tsunami
- landslide tsunami
- volcanic tsunami
- rheology model
- COMCOT
- Palu
- tsunami
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.