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Tsunami Wave Propagation Models based on Two-Dimensional 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 57 - Number 20
Year of Publication: 2012
Authors: E. Syed Mohamed, S. Rajasekaran
10.5120/9230-3790

E. Syed Mohamed, S. Rajasekaran . Tsunami Wave Propagation Models based on Two-Dimensional Cellular Automata. International Journal of Computer Applications. 57, 20 ( November 2012), 21-29. DOI=10.5120/9230-3790

@article{ 10.5120/9230-3790,
author = { E. Syed Mohamed, S. Rajasekaran },
title = { Tsunami Wave Propagation Models based on Two-Dimensional Cellular Automata },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 57 },
number = { 20 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 21-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume57/number20/9230-3790/ },
doi = { 10.5120/9230-3790 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:00:58.920046+05:30
%A E. Syed Mohamed
%A S. Rajasekaran
%T Tsunami Wave Propagation Models based on Two-Dimensional Cellular Automata
%J International Journal of Computer Applications
%@ 0975-8887
%V 57
%N 20
%P 21-29
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Tsunami is a natural disaster which can cause great economic losses and make eco-environment seriously disordered. As of today, no technology exists to predict a tsunami source event well in advance. In this paper, some physically realistic ocean parameters have been considered. For tsunami propagation in real-time simulation, approaches have been used and different modifications of well known tsunami propagation models are developed to explore the sensitivity of the computational results to the variation of major model parameters. The tsunami waves are divided into two categories and our models are applied to eight cases depending on homogenous and non-homogeneous ocean wave conditions for different rates of spread. The algorithm is efficient and easily implemented, allowing less computational time and cost. The results obtained are found to be in agreement with the results of tsunami wave propagation in real seas. The first part of the paper describes the structure of the system, the underlying cellular automata models and the final part shows the activation of the system and the calculated results.

References
  1. Alessandro Annunziato. ,2007, The Tsunami Assessment Modelling Systemby The Joint Research Centre,Science of Tsunami Hazards, Vol. 26, No. 2, page 70
  2. D. Dutykh and F. Dias. Water waves generated by a moving bottom. In Anjan Kundu, editor, Tsunami and Nonlinear waves. Springer Verlag (Geo Sc. ), 2007
  3. Eric L. Geist2005, ,Local Tsunami Hazards in the Pacific Northwest from Cascadia Subduction Zone Earthquakes , U. S. Geological Survey Professional Paper 1661-B.
  4. Geist, E. L. , 1999, Local tsunamis and earthquake source parameters: Advances in Geophysics, v. 39, p. 117-209
  5. Geist, E. L. , and Yoshioka, S. , 1996, Source parameters controlling the generation and propagation of potential local tsunamis along the Cascadia margin, Natural Hazards, v. 13, p. 151-177.
  6. Jessica Schmidt1, C´ecile Piret2,Nan Zhang3,Benjamin J. Kadlec4, David A. Yuen5,Yingchun Liu5,Grady Barrett Wright6 and Erik, Modeling of tsunami waves and atmospheric swirling flows with graphics processing unit (GPU) and radial basis functions
  7. Lokenath Debnath , Uma Basu "On Generation And Propagation Of Tsunamis In A Shallow Running Ocean", Internat. J. Math. & Math. Sci. Vol. (1978)373-390
  8. M. H. Dao and P. Tkalich, Tsunami propagation modelling – a sensitivity study, Natural Hazards Earth System. Sciences. , 7, 741–754, 2007
  9. N. A. Haskell. Elastic displacements in the near-field of a propagating fault. Bull. Seism. Soc. Am. , 59:865–908, 1969
  10. Paul C. Rivera , Antipolo City. ,2006, Modeling The Asian Tsunami Evolution And Propagation With A New Generation Mechanism And A Non-Linear Dispersive Wave Model, Science of Tsunami Hazards, Vol. 25, No. 1, page 18 .
  11. R. Lehfeldt1, P. Milbradt2, A. Plüss3, H. Schüttrumpf4,Propagation of a Tsunami-wave in the North Sea Propagation of a Tsunami in the North Sea
  12. T. S. MURTY1, Tsunami Wave Height Dependence on Landslide Pure appl. geophys. Volume 160 (2003) 2147–2153
  13. T. S. Murty, N. Nirupama. , Why The Atlantic Generally Cannot Generate Transoceanic Tsunamis?, SET Journal of Earthquake Technology, Technical Note, Vol. 42, No. 4, December 2005, pp. 227-236
  14. Y. Okada. Surface deformation due to shear and tensile faults in a half-space. Bull. Seism. Soc. Am. , 75:1135–1154, 1985.
  15. http://www. nws. noaa. gov/om/brochures/tsunami3. htm: Tsunamis on the Move Wave Height and Water Depth
  16. http://www. tsunami. incois. gov. in/ITEWS/tsunamimodeling. jsp
  17. 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

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