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Reseach Article

Monitoring and Prediction of Earthquakes using Simulated Temperature Deviation Curve Model

by Moses E. Emetere
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 4 - Number 3
Year of Publication: 2012
Authors: Moses E. Emetere
10.5120/ijais12-450659

Moses E. Emetere . Monitoring and Prediction of Earthquakes using Simulated Temperature Deviation Curve Model. International Journal of Applied Information Systems. 4, 3 ( September 2012), 13-17. DOI=10.5120/ijais12-450659

@article{ 10.5120/ijais12-450659,
author = { Moses E. Emetere },
title = { Monitoring and Prediction of Earthquakes using Simulated Temperature Deviation Curve Model },
journal = { International Journal of Applied Information Systems },
issue_date = { September 2012 },
volume = { 4 },
number = { 3 },
month = { September },
year = { 2012 },
issn = { 2249-0868 },
pages = { 13-17 },
numpages = {9},
url = { https://www.ijais.org/archives/volume4/number3/280-0659/ },
doi = { 10.5120/ijais12-450659 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T10:47:08.089285+05:30
%A Moses E. Emetere
%T Monitoring and Prediction of Earthquakes using Simulated Temperature Deviation Curve Model
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 4
%N 3
%P 13-17
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The use of thermal anomaly to monitor or predict earthquakes has shown little success. Various methods have been propounded to monitor earthquakes with little emphasis on fundamental soil quantities. This paper propounded a vital factor- soil density ratio which can be used to monitor earthquakes. The magnitude of earthquakes was discovered to increase when the soil bulk density decreases very low. The dynamics of the heat flow was also discussed with respect to the soil density ratio. The importance of the temperature deviation curve to predict both short term and long term earthquakes were discussed with respect to time.

References
  1. Buchan, G. D. ,2001. Soil Temperature Regime, in Smith, K. A and Mullins, C. E. (Eds). Soil and Environmental Analysis:Physical methods 2nd Ed. 2001. Marcel Dekker. Pp, 539-594
  2. Hillel, D. 1982. Introduction to soil physics. Academic Press, San Diego, CA.
  3. Uno E Uno, Moses E Emetere, Adelabu J. S. A. 2012. Parametric Investigation Of Soil Susceptibility To Compaction Using Temperature Deviation Curves. Journal of Civil Engineering and Architecture Vol. 2012,issue 2 pp. 1-6
  4. Fan Xin-gang and Tang Maocang. 1996. The Structural Features of Soil Temperature and Precipitation and Soil Heat Flux Fields of Strong Earthquakes. Chinese Journal of Geophysics 39/2 247-260.
  5. Uno E Uno, Moses E Emetere, Eneh C Daniel. 2012. Simulated Analysis Of Soil Heat Flux Using Temperature Deviation Curve Model. Science Journal of Physics. Vol. 2012, Issue 2,pp 1-9
  6. Uyeda, S. , Nagao, T. , Orihara, Y. , Yamaguchi, T. , and Takahashi,I. 2000. Geoelectric potential changes: Possible precursors to earthquakes in Japan, Proc. Nat. Acad. Sci. , 97, 4561–4566
  7. Rezapour N. , Fattahi, M. and Bidokhti A. A. 2010. Possible soil thermal response to seismic activities in Alborz region (Iran) Nat. Hazards Earth Syst. Sci. , 10, 459–464,
  8. Casagrande, A. 1937. Seepage through Dams. J. New England Water Works. 51 295-336
  9. Dey, S. and Singh, R. P. 2003 Surface latent heat flux as an earthquake precursor. Nat. Hazards Earth Syst. Sci. , 3, 749–755
  10. . Nguyen, T. M. T. 1999. Solution of saturated/unsaturated seepage problems using a general partial differential solver. M. Sc. Thesis, University of Saskatchewan, Saskatoon, Canada
  11. . Qiang, Zuji, 2001. Satellite-Based Prediction of Earthquakes. News letter, EARSEL 47, 21-26
  12. . Tang Maocang and Hu Zong-hai(1990) Statistical analysis of strong earthquake influencing precipitation, Nonhwestem Seismological Journal (in Chinese), 12 (I), 19-29
  13. . Vicki S. McConnell (2012) Oregon Department of geology and mineral industries Magazene. www. oregongeology. com
  14. . Sergey Pulinets(2004) Ionospheric Precursors of Earthquakes; Recent Advances in Theory and Practical Applications. TAO, Vol. 15, No. 3, 413-435
  15. . Gokhberg, M. B. , V. A. Morgounov, and O. A. Pokhotelov, 1995: Earthquake Prediction. Seismo-electromagnetic phenomena. Gordon and Breach Science Publishers, Amsterdam.
  16. . Peter Folger(2011) Earthquakes: Risk, Detection, Warning, and Research. Congressional Research Service 7-5700 www. crs. gov
Index Terms

Computer Science
Information Sciences

Keywords

soil density ratio temperature deviation heat frequency earthquake duration earthquake magnitude