4:15 PM - 4:30 PM
[MZZ45-10] Developing Quantitative Evaluation Method for Real-time Forecasting and Hazard Assessment of Meteorite Impact Tsunamis
Keywords:Meteorite impact, Tsunami
Tsunami induced by earthquakes, submarine landslides, volcanic eruption in submarine and coastal area and meteorological phenomena is one of the most devastating natural disasters. A meteorite impact into the oceans spawn large tsunami depending on the size of meteorite, velocity of the impact and the sea water depth at the location of the impact. However, we do not have a numerical model to reproduce both of meteorite impacts and tsunami propagations. We have developed a numerical model to simulate tsunamis generated by the meteorite impact combining iSALE (Wünnemann et al., 2006) and JAGURS (Baba et al., 2017). The iSALE is a multi-material and multi-rheology shock physics code for simulating impact phenomena. JAGURS is a parallelized tsunami simulation code to solve two-dimensional non-linear long-wave equation with Boussinesq terms for representing observed tsunami waveforms and inundation. We set sea-surface disturbance profile of propagating tsunami estimated by the iSALE as input of JAGURS. Then, we could calculate tsunami height along the coastlines in any place using Global tsunami Terrain Model (GtTM; N. Chikasada, 2020; doi:10.17598/NIED.0021). In this presentation, we report about development of simulation model for meteorite impact tsunami.
We gratefully acknowledge the developers of iSALE, including Gareth Collins, Kai Wünnemann, Boris Ivanov, H. Jay Melosh and Dirk Elbeshausen. Data analysis and visualizations of iSALE were carried out on PC cluster and computers at Center for Computational Astrophysics, National Astronomical Observatory of Japan. This work was partially supported by JSPS KAKENHI Grant Number JP18K04674. GtTM was created by supporting of the Kurata Grants No. 1400 from the Hitachi Global Foundation.
We gratefully acknowledge the developers of iSALE, including Gareth Collins, Kai Wünnemann, Boris Ivanov, H. Jay Melosh and Dirk Elbeshausen. Data analysis and visualizations of iSALE were carried out on PC cluster and computers at Center for Computational Astrophysics, National Astronomical Observatory of Japan. This work was partially supported by JSPS KAKENHI Grant Number JP18K04674. GtTM was created by supporting of the Kurata Grants No. 1400 from the Hitachi Global Foundation.