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Tsunami Detection System Using Unusual Animal Behavior- A Specified Approach

Published: 20 February 2013
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Abstract

Now a days Tsunami is occurring very frequently in all over the word. So it is essential to predict it very earlier before the arrival of Tsunami in order to save many lives. The earthquake can be predicted in three different terms: short- term, intermediate-term, and the long-term. The two major methods of prediction are Geophysical precursors and the unusual animal behavior. This paper focus on the unusual animal behavior by monitoring behavior of the animal for predicting the Tsunami by analyzing the sensory organs of animals which were able to monitor, and sense, stimuli preceding an earthquake.

Published in Earth Sciences (Volume 2, Issue 1)
DOI 10.11648/j.earth.20130201.12
Page(s) 9-13
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2013. Published by Science Publishing Group

Keywords

Electromagneticfields, Geophysical Precursors, Tsunami, Vibrations

References
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[3] Tristram D. Wyatt, "Pheromones and Animal Behaviour-Communication by Smell and Taste", ISBN-13 978-0-511-07734-0 eBook(Net Library),University of Ox-ford.
[4] Thomas Breithaupt, Martin Thiel, "Chemical Communication in Crustaceans", Springer New York Dordrecht Heidelberg London. ISBN 978-0-387-77100-7 e-ISBN 978-0-387-77101- 4 DOI 10.1007/978-0-387-77101-4.
[5] Yan Xie, "Chemical Signal Analysis With FOURIER MI-CROFLUIDICS",Department of Electrical Engineering and Computer Science , CASE WESTERN RESERVE UNI-VERSITY August, 2008.
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[7] Tyler Carroll ,Rose Colangelo ,Tom Strott, "Bird Call Identifier Identifying Songs of Bird Species through Digital Signal Processing Techniques", Worcester Polytechnic Institute, 29 Apr 2010.
[8] Ll. Parcerisa, "Molecular Communication Options for Long Range Nanonetworks" 2009’Broadband Wireless Net-working (BWN) Laboratory, School of Electrical and Computer Engineering, Georgia Institute of Technology, 250 14th Street, Atlanta, GA 30332, USA, September 2008 to July.
[9] Motoji Ikeya, "Earthquakes and animals From folks to le-gends", World Scientific Publishing Co.Ltd. ISBN 981-238-591-6
[10] "Atmospheric anomalies observed during earthquake oc-currences", Geophysical research letters,vol.31,L17110, doi:10.1029/2004GL019865,2004.
[11] "Electromagnetic signals from bacterial DNA", arXiv: 1104.3113v1, [physics.bio.-ph], 15april 2011.
[12] Kalmijn, A. J., .The detection of electric fields from inanimate and animate sources other than electric organs., in Handbook of Sensory Physiology, Vol. 9, A. Fessard (Editor), Springer-Verlag, Berlin, New York, 147.200.,1974.
[13] Kirschvink, J. L., .Earthquake Prediction by Animals: Evo-lution and Sensory Perception., Bulletin of the Seismological Society of America, 90, 2, pp. 312-323, 2000.
[14] Knudsen, E. L., .Spatial aspects of electric fields generated by weakly electric fish., J. Comp. Physiol., 99, 103.118, 1975.
[15] Lissman, H. W., .On the function and evolution of electric organs in fish., J. Exp. Biol., 35, 456.486, 1958.
[16] Tareq H.Mezughi,Juhari Mat Akhir,Analytical Hierarchy process method for mapping Landslide Susceptibility to an Area alongthe E-W Highway, Asian Journal of Earth Sciences 5(1):13-24,2012 ISSN 1819-1886/DOI:IO.3923/aies.2012.13.24.
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  • APA Style

    A. N. Meenakshi, B. I. Juvanna. (2013). Tsunami Detection System Using Unusual Animal Behavior- A Specified Approach. Earth Sciences, 2(1), 9-13. https://doi.org/10.11648/j.earth.20130201.12

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    ACS Style

    A. N. Meenakshi; B. I. Juvanna. Tsunami Detection System Using Unusual Animal Behavior- A Specified Approach. Earth Sci. 2013, 2(1), 9-13. doi: 10.11648/j.earth.20130201.12

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    AMA Style

    A. N. Meenakshi, B. I. Juvanna. Tsunami Detection System Using Unusual Animal Behavior- A Specified Approach. Earth Sci. 2013;2(1):9-13. doi: 10.11648/j.earth.20130201.12

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  • @article{10.11648/j.earth.20130201.12,
      author = {A. N. Meenakshi and B. I. Juvanna},
      title = {Tsunami Detection System Using Unusual Animal Behavior- A Specified Approach},
      journal = {Earth Sciences},
      volume = {2},
      number = {1},
      pages = {9-13},
      doi = {10.11648/j.earth.20130201.12},
      url = {https://doi.org/10.11648/j.earth.20130201.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.earth.20130201.12},
      abstract = {Now a days Tsunami is occurring very frequently in all over the word. So it is essential to predict it very earlier before the arrival of Tsunami in order to save many lives. The earthquake can be predicted in three different terms: short- term, intermediate-term, and the long-term. The two major methods of prediction are Geophysical precursors and the unusual animal behavior. This paper focus on the unusual animal behavior by monitoring behavior of the animal for predicting the Tsunami by analyzing the sensory organs of animals which were able to monitor, and sense, stimuli preceding an earthquake.},
     year = {2013}
    }
    

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    AU  - A. N. Meenakshi
    AU  - B. I. Juvanna
    Y1  - 2013/02/20
    PY  - 2013
    N1  - https://doi.org/10.11648/j.earth.20130201.12
    DO  - 10.11648/j.earth.20130201.12
    T2  - Earth Sciences
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    UR  - https://doi.org/10.11648/j.earth.20130201.12
    AB  - Now a days Tsunami is occurring very frequently in all over the word. So it is essential to predict it very earlier before the arrival of Tsunami in order to save many lives. The earthquake can be predicted in three different terms: short- term, intermediate-term, and the long-term. The two major methods of prediction are Geophysical precursors and the unusual animal behavior. This paper focus on the unusual animal behavior by monitoring behavior of the animal for predicting the Tsunami by analyzing the sensory organs of animals which were able to monitor, and sense, stimuli preceding an earthquake.
    VL  - 2
    IS  - 1
    ER  - 

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Author Information
  • Hindustan Institute of Technology and Science, Padur, Chennai

  • Hindustan Institute of Technology and Science, Padur, Chennai

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