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JDR Vol.12 No.2 pp. 226-232
(2017)
doi: 10.20965/jdr.2017.p0226

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

Shunichi Koshimura†

International Research Institute of Disaster Science, Tohoku University
Aoba 468-1, Aramaki, Aoba-ku, Sendai 980-0845, Japan

†Corresponding author

Received:
January 7, 2017
Accepted:
February 3, 2017
Online released:
March 16, 2017
Published:
March 20, 2017
Creative Commons License
Keywords:
real-time simulation, earthquake, tsunami, high-performance computing, GIS, big data
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.
Cite this article as:
S. Koshimura, “Fusion of Real-Time Disaster Simulation and Big Data Assimilation – Recent Progress,” J. Disaster Res., Vol.12 No.2, pp. 226-232, 2017.
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Last updated on Dec. 02, 2024