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Monitoring and Prediction of Earthquakes using Simulated Temperature Deviation Curve Model

Moses E. Emetere Published in Applied Sciences

International Journal of Applied Information Systems
Year of Publication 2012
© 2010 by IJAIS Journal
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  1. Moses E Emetere. Article: Monitoring and Prediction of Earthquakes using Simulated Temperature Deviation Curve Model. International Journal of Applied Information Systems 4(3):13-17, September 2012. BibTeX

    	author = "Moses E. Emetere",
    	title = "Article: Monitoring and Prediction of Earthquakes using Simulated Temperature Deviation Curve Model",
    	journal = "International Journal of Applied Information Systems",
    	year = 2012,
    	volume = 4,
    	number = 3,
    	pages = "13-17",
    	month = "September",
    	note = "Published by Foundation of Computer Science, New York, USA"


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.


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soil density ratio, temperature deviation, heat frequency, earthquake duration, earthquake magnitude