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http://dx.doi.org/10.9717/kmms.2020.23.5.710

A Tsunami Simulation Model based on Cellular Automata for Analyzing Coastal Inundation: Case Study of Gwangalli Beach  

Joo, Jae Woo (Dept. of IT Convergence & Application Eng., Pukyong National University)
Joo, Jun Mo (Dept. of IT Convergence & Application Eng., Pukyong National University)
Kim, Dong Min (Dept. of IT Convergence & Application Eng., Pukyong National University)
Lee, Dong Hun (Dept. of IT Convergence & Application Eng., Pukyong National University)
Choi, Seon Han (Dept. of IT Convergence & Application Eng., Pukyong National University)
Publication Information
Abstract
Tsunami occurred by a rapid change in the ocean floor is a natural disaster that causes serious damage worldwide. South Korea seems to be out of the range of this damage, but it is quite possible that South Korea will fall within the range due to the long-distance propagation features of tsunami and many earthquakes occurred in Japan. However, the analysis and preparation for tsunami have been still insufficient. In this paper, we propose a tsunami simulation model based on cellular automata for analyzing coastal inundation. The proposed model calculates the range of inundation in coastal areas by propagating the energy of tsunami using the interaction between neighboring cells. We define interaction rules and algorithms for the energy transfer and propose a software tool to effectively utilize the model. In addition, to verify and tune the simulation model, we used the actual tsunami data in 2010 at Dichato, Chile. As a case study, the proposed model was applied to analyze the coastal inundation according to tsunami height in Gwangali Beach, a famous site in Busan. It is expected that the simulation model can be a help to prepare an effective countermeasure against tsunami and be used for a virtual evacuating training.
Keywords
Tsunami Simulation; Cellular Automata; Coastal Inundation;
Citations & Related Records
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