alexa Improving Innovative Mathematical Model for Earthquake Prediction
ISSN: 2381-8719

Journal of Geology & Geophysics
Open Access

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Research Article

Improving Innovative Mathematical Model for Earthquake Prediction

Suganth Kannan*
President, MathforUS LLC, USA
*Corresponding Author : Suganth Kannan
President
MathforUS LLC, USA
Tel:9545400274
E-mail: [email protected]
Received July 01, 2014; Accepted July 16, 2014; Published July 21, 2014
Citation: Kannan S (2014) Improving Innovative Mathematical Model for Earthquake Prediction. J Geol Geosci 3:168. doi:10.4172/2329-6755.1000168
Copyright: © 2014 Kannan S. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
 

Abstract

The Innovative Mathematical Model for Earthquake Prediction (IMMEP) based on Spatial Connection Theory and reverse Poisson’s distribution was developed previously. Using data from National Earthquake Information Center (NEIC), Spatial Connection Models were constructed using KML programming language in Google Earth program for six fault zones around the world: California, Central USA, Northeast USA, Hawaii, Turkey, and Japan. The Poisson Range Identifier (Pri) values were computed, and the Poisson’s Distribution was applied to the Pri values to arrive at a distance factor. Based on the reverse Poisson’s Distribution, earthquake predictions were carried out. To improve the Innovative Mathematical Model for Earthquake Prediction, further analysis was carried out on California fault zone earthquake data, utilizing Poisson’s and Exponential Distributions. The predictions of the Poisson’s and Exponential Distribution were nearby validating the Spatial Connection Theory By using technological advances and improving the probability of future earthquake predictions, this research provides an effective contribution to earth science. Utilizing the results of this research, disaster management agencies around the world can allocate their resources in appropriate locations to assist people during evacuation and save lives.

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