Open Access   Article Go Back

Earthquake Prediction using SVM based Time Predictable Technique

M.A. Shanti1

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-04 , Page no. 24-28, Feb-2019

Online published on Feb 28, 2019

Copyright © M.A. Shanti . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: M.A. Shanti, “Earthquake Prediction using SVM based Time Predictable Technique,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.04, pp.24-28, 2019.

MLA Style Citation: M.A. Shanti "Earthquake Prediction using SVM based Time Predictable Technique." International Journal of Computer Sciences and Engineering 07.04 (2019): 24-28.

APA Style Citation: M.A. Shanti, (2019). Earthquake Prediction using SVM based Time Predictable Technique. International Journal of Computer Sciences and Engineering, 07(04), 24-28.

BibTex Style Citation:
@article{Shanti_2019,
author = {M.A. Shanti},
title = {Earthquake Prediction using SVM based Time Predictable Technique},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {07},
Issue = {04},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {24-28},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=715},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=715
TI - Earthquake Prediction using SVM based Time Predictable Technique
T2 - International Journal of Computer Sciences and Engineering
AU - M.A. Shanti
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 24-28
IS - 04
VL - 07
SN - 2347-2693
ER -

           

Abstract

As with so many natural phenomena, earthquakes are the product of what scientists call "complex systems," or systems which are more than the sum of their parts. Not just speaking proverbially, but in truest ever sense, precise prediction of earthquakes has long been a question of Life & Death for the scared inhabitants of earthquake-prone areas and so is for the forecasters and scientists ranging from Nostradamus to Dr. Vladimir Kellis-Borok since last a few centuries. Though the experts still don’t know many of the details of the physical processes involved and how to predict these events, several prediction and chaos theories have been put forth with varying degrees of successes. In spite of the inherent complexities involved in such a complex system, the research is still on and on. The time- predictable model of earthquake prediction is based on the theory that earthquakes in fault zones are caused by the constant build-up and release of strain in the Earth`s crust. This model has become a standard tool for hazard prediction in many earthquake-prone regions and, therefore, it is not surprising that the scientists in the United States and other Pacific Rim countries, such as Japan and New Zealand, routinely use this technique for long-range hazard assessments when adequate data are available.

Key-Words / Index Term

Earthquakes;time-predictablemodel; forecasters

References

[1] A Review of Two Methods of Predicting Earthquakes , Chris Gray, University of Wisconsin,Madison,http://tc.engr.wisc.edu/uer/uer96/author3/index.html.
[2] Earthquakes, Animals and Man, B. G. Deshpande, Pune, India: The Maharashtra Association for the Cultivation of Science, 1987.
[3] The Prophecy of Nostradamus About the Recent Japan Earthquake ( Century: 1, Quatrain: 46), Very near Auch, Lectoure and Mirandea great fire will fall from the sky for three nights. The cause will appear both stupefying and marvelous; shortly afterwards there will be an earthquake.
[4] Variations of Trends of Indicators Describing Complex Systems: Change of Scaling Precursory to Extreme Events , Vladimir Keilis- Borok (University of California, Los Angeles) and Alexandre Soloviev (International Institute of Earthquake Prediction Theory and Mathematical Geophysics, Russian Academy of Sciences) appears in the (J.) CHAOS.
[5] Geometric Incompatibility in a Fault System, Andrei Gabrielov, Vladimir Kellis-Borok, & David D. Jackson, Earthquake Prediction: The Scientific Challenge (National Academy of Sciences Colloquium, United States), 1996, pp. 3838-3842.
[6] Nonlinear Dynamics of Lithosphere and Earthquake Prediction , Volume 2002, Dr. Vladimir Kellis Borok & Dr. Alexandra A. Soloviev, ISSN 0172-7389, ISBN 3-540-43528-X, Springer-Verlag Berlin Heideberg New York.
[7] Intermediate Term Prediction of Occurrence Times of Strong Earthquakes , Keilis- Borok, V.I., Knopoff, L., Rotwain, I. & Allen, C.R. (1988). Nature 335 (6192): 690–694.
[8] The Mechanics of the Earthquake, The California Earthquake of April 18, 1906, H.F. Reid, Report of the State Investigation Commission, Vol. 2, Carnegie Institution of Washington, Washington, D.C. 1910.
[9] Water Level and Strain Changes Preceding and Following the August 4, 1985 Kettleman Hills, California, Earthquake , Roeloffs, E. et al. (1997), Pure and Applied Geophysics 149 : 21– 60.