TY - JOUR
T1 - Fusion of real-time disaster simulation and big data assimilation – Recent progress
AU - Koshimura, Shunichi
N1 - Funding Information:
Part of this study was supported by JST CREST.
Publisher Copyright:
© 2017, Fuji Technology Press. All rights reserved.
PY - 2017/3
Y1 - 2017/3
N2 - 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.
AB - 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.
KW - Big data
KW - Earthquake
KW - GIS
KW - High-performance computing
KW - Real-time simulation
KW - Tsunami
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U2 - 10.20965/jdr.2017.p0226
DO - 10.20965/jdr.2017.p0226
M3 - Review article
AN - SCOPUS:85015296580
SN - 1881-2473
VL - 12
SP - 226
EP - 232
JO - Journal of Disaster Research
JF - Journal of Disaster Research
IS - 2
ER -