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An Offline‐Based On‐Demand Visualization System of Large‐Scale Particle Simulation for Tsunami Disaster Prevention
Author(s) -
ISSHIKI MASAHARU,
ASAI MITSUTERU,
EGUCHI SHIMON,
MIYAGAWA YOSHIYA
Publication year - 2018
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.12050
Subject(s) - visualization , emergency management , scale (ratio) , computer science , disaster mitigation , breakwater , computer security , civil engineering , simulation , engineering , environmental science , geography , data mining , geotechnical engineering , environmental planning , cartography , political science , law
SUMMARY After the Great East Japan Earthquake Tsunami, new Tsunami disaster‐prevention and mitigation methods for the next millennium Tsunami are actively being discussed. Consequently, the methods have highlighted the importance of both hard disaster‐prevention method, which means direct prevention using infrastructure such as breakwater, and soft disaster‐prevention method, including disaster‐prevention education. In this paper, a visualization and polygonization system that can be effectively utilized for Tsunami disaster prevention is proposed for large‐scale particle simulation. The system includes two important features, such as engineering‐purposed visualization and polygonization for hard and soft tsunami disaster‐prevention methods, respectively. Moreover, the system can handle the large‐scale particle simulation data that are computed by a high‐performance computer via an offline on‐demand tool without data transfer.