Tsunami inundation and damage forecasting with high-performance computing infrastructure

S. Koshimura, Y. Murashima, A. Musa, R. Hino, Y. Ohta, H. Kobayashi, M. Kachi, Y. Sato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A rapid tsunami inundation and damage estimation system is newly established by fusion of real-time numerical modeling and geo-informatics. The system was launched as a function of the emergency response of Cabinet Office of Japan in November 2017. The forecasting system consists of a tsunami source modeling, a propagation and inundation simulation, and a mapping. The vector supercomputer SX-ACE serves as the simulation system and plays a central role in the forecasting system. Using SX-ACE, we complete tsunami source estimation in 10 minutes, tsunami inundation modeling and mapping in 20 minutes with 30 m grid resolution for 6-hour tsunami inundation forecasting for the western part of Japan (from Shizuoka to Kagoshima prefectures).

Original languageEnglish
Title of host publication11th National Conference on Earthquake Engineering 2018, NCEE 2018
Subtitle of host publicationIntegrating Science, Engineering, and Policy
PublisherEarthquake Engineering Research Institute
Pages3423-3427
Number of pages5
ISBN (Electronic)9781510873254
Publication statusPublished - 2018 Jan 1
Event11th National Conference on Earthquake Engineering 2018: Integrating Science, Engineering, and Policy, NCEE 2018 - Los Angeles, United States
Duration: 2018 Jun 252018 Jun 29

Publication series

Name11th National Conference on Earthquake Engineering 2018, NCEE 2018: Integrating Science, Engineering, and Policy
Volume6

Conference

Conference11th National Conference on Earthquake Engineering 2018: Integrating Science, Engineering, and Policy, NCEE 2018
CountryUnited States
CityLos Angeles
Period18/6/2518/6/29

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology

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  • Cite this

    Koshimura, S., Murashima, Y., Musa, A., Hino, R., Ohta, Y., Kobayashi, H., Kachi, M., & Sato, Y. (2018). Tsunami inundation and damage forecasting with high-performance computing infrastructure. In 11th National Conference on Earthquake Engineering 2018, NCEE 2018: Integrating Science, Engineering, and Policy (pp. 3423-3427). (11th National Conference on Earthquake Engineering 2018, NCEE 2018: Integrating Science, Engineering, and Policy; Vol. 6). Earthquake Engineering Research Institute.