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Performance Enhancement for Tsunami Wave Simulation using Hexagonal Cellular Automata

by E. Syed Mohamed, S. Rajasekaran
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 75 - Number 9
Year of Publication: 2013
Authors: E. Syed Mohamed, S. Rajasekaran
10.5120/13142-0541

E. Syed Mohamed, S. Rajasekaran . Performance Enhancement for Tsunami Wave Simulation using Hexagonal Cellular Automata. International Journal of Computer Applications. 75, 9 ( August 2013), 36-43. DOI=10.5120/13142-0541

@article{ 10.5120/13142-0541,
author = { E. Syed Mohamed, S. Rajasekaran },
title = { Performance Enhancement for Tsunami Wave Simulation using Hexagonal Cellular Automata },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 75 },
number = { 9 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 36-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume75/number9/13142-0541/ },
doi = { 10.5120/13142-0541 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:43:52.042936+05:30
%A E. Syed Mohamed
%A S. Rajasekaran
%T Performance Enhancement for Tsunami Wave Simulation using Hexagonal Cellular Automata
%J International Journal of Computer Applications
%@ 0975-8887
%V 75
%N 9
%P 36-43
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Tsunamis are considered the most devastating natural hazard on costal environments ever known. Early tsunami wave detection, both quick and appropriate intervention is of vital importance for minimization tsunami damage. Simulation of tsunami wave spread remains a daunting task due to factors such as complex wave behavior, dynamical wave condition and large spatial data that needs to be modelled. In this paper tsunami wave models have been widely studied using cellular automata(CA) that has special features for simulating complex phenomena . The influential factors for tsunami wave are divided into two categories and our models are applied to eight basic cases depending on weather, topography and wave conditions for different rates of spread. The algorithm is efficient and easily implemented, allowing less computational time and cost. Experimental results of this model prove its value in tsunami wave spread as real time.

References
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  8. E. Syed Mohamed and S. Rajasekaran "Tsunami Wave Propagation Models based on two-dimensional Cellular Automata, International Journal of Computer Applications (0975 – 8887) Volume 57, November 2012
  9. E. Syed Mohamed and S. Rajasekaran "Tsunami Wave Propagation Models based on Hexogonal Cellular Automata(Communicated for publication)
  10. http://www. zmescience. com/science/physics/indonesia-8-6-earthquake-tsunami-11042012/
Index Terms

Computer Science
Information Sciences

Keywords

Tsunami wave Simulation Homogeneous Non-homogeneous Cellular automata Discrete time step Primary wave front Secondary wave front

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