Fusion of Real-Time Disaster Simulation and Big Data Assimilation – Recent Progress

Author:

Koshimura Shunichi,

Abstract

This paper reports the latest outcomes of the project “Establishing the Advanced Disaster Reduction Management System by Fusion of Real-time Disaster Simulation and Big Data Assimilation” that started in 2014. The objectives of targeting various kinds of damage due to earthquakes and tsunami, fusion of large-scale high-resolution numerical simulation, effective processing and analysis of big data from various observations, and data assimilation were achieved. The outcomes will be utilized to create the world’s first real-time simulation and big data analysis basis that would potentially assist with designing preliminary measures based on quantitative data and disaster responses to a disaster. Case studies using recent disasters were used in this endeavor and validation were performed. In the future, environments that rapidly provide information on possible damage situations in real time for public agencies, corporations, and citizens facing a catastrophic disaster in Japan will be developed by integrating these studies.

Publisher

Fuji Technology Press Ltd.

Subject

Engineering (miscellaneous),Safety, Risk, Reliability and Quality

Reference25 articles.

1. S. Koshimura, “Establishing the Advanced Disaster Reduction Management System by Fusion of Real-Time Disaster Simulation and Big Data Assimilation,” Journal of Disaster Research, Vol.11 No.2, pp.164-174, 2016.

2. S. Koshimura, R. Hino, Y. Ohta, H. Kobayashi, A. Musa, and Y. Murashima, “Real-time tsunami inundation forecasting and damage estimation method by fusion of real-time crustal deformation monitoring and high-performance computing,” IUGG General Assembly, 2015.

3. Y. Oishi, F. Imamura, and D. Sugawara, “Near-field tsunami inundation forecast using the parallel TUNAMI-N2 model: Application to the 2011 Tohoku-Oki earthquake combined with source inversions,” Geophys. Res. Lett., Vol.42, pp. 1083-1091, 2015.

4. A. Musa, H. Matsuoka, O. Watanabe, Y. Murashima, S. Koshimura, R. Hino, Y. Ohta, and H. Kobayashi, “A Real-Time Tsunami Inundation Forecast System for Tsunami Disaster Prevention and Mitigation,” The International Conference for High Performance Computing, Networking, Strage and Analysis (SC15), Austin, Texas, Nov. 2015.

5. Y. Narita and S. Koshimura, “Classification of Tsunami Fragility Curves Based on Regional Characteristics of Tsunami Damage,” Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering), Vol.71, No.2, pp. I_331-I_336, 2015.

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