Fusion of Real-Time Disaster Simulation and Big Data Assimilation – Recent Progress
Author(s) -
Shunichi Koshimura
Publication year - 2017
Publication title -
journal of disaster research
Language(s) - English
Resource type - Journals
eISSN - 1883-8030
pISSN - 1881-2473
DOI - 10.20965/jdr.2017.p0226
Subject(s) - data assimilation , big data , computer science , sensor fusion , emergency management , data science , scale (ratio) , operations research , risk analysis (engineering) , data mining , engineering , meteorology , geography , business , artificial intelligence , cartography , political science , law
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.
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