alexa

GET THE APP

Improving Innovative Mathematical Model For Earthquake Prediction | 18526
ISSN: 2157-7617

Journal of Earth Science & Climatic Change
Open Access

Like us on:

Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Improving innovative mathematical model for earthquake prediction

3rd International Conference on Earth Science & Climate Change

Suganth Kannan

ScientificTracks Abstracts: J Earth Sci Clim Change

DOI: 10.4172/2157-7617.S1.013

Abstract
The innovative mathematical model for earthquake prediction (IMMEP) based on spatial connection theory and reverse Poisson?s distribution was developed. 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, exponential, and hyper geometric distributions. A rigorous mathematical algorithm was used to triangulate and merge the results from the analysis into a common distance factor. The improved distance factor was utilized to carry out the earthquake prediction. A significant improvement of the prediction for the California fault zone was observed. 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
Biography
Suganth Kannan is the President of MathforUS LLC, a small business dedicated to applied research by building higher-level mathematical models to find solutions to pressing global problems. He has organized and moderated a bed bug symposium for Florida Entomological Society in 2011. He has presented at the Fifth International Conference on Engineering Failure Analysis, 2012 held at The Hague, Netherlands. He has published a scientific paper in Elsevier?s Journal of Engineering Failure Analysis
Top