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Complexity - Volume 2017 2017, Article ID 6853892, 27 pages - https:-doi.org-10.1155-2017-6853892

Research Article

Faculty of Engineering, Environment and Computing, Coventry University, Priory Street, Coventry CV1 5FB, UK

Solid Earth Physics Institute, Department of Physics, School of Science, National and Kapodistrian University of Athens, Panepistimiopolis, Zografos, 157 84 Athens, Greece

Section of Solid State Physics, Department of Physics, School of Science, National and Kapodistrian University of Athens, Panepistimiopolis, Zografos, 157 84 Athens, Greece

Correspondence should be addressed to Stavros-Richard G. Christopoulos

Received 18 July 2016; Accepted 9 October 2016; Published 20 February 2017

Academic Editor: Alicia Cordero

Copyright © 2017 Stavros-Richard G. Christopoulos and Nicholas V. Sarlis. 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.

Abstract

Recently, the study of the coherent noise model has led to a simple binary prediction algorithm for the forthcoming earthquake magnitude in aftershock sequences. This algorithm is based on the concept of natural time and exploits the complexity exhibited by the coherent noise model. Here, using the relocated catalogue from Southern California Seismic Network for 1981 to June 2011, we evaluate the application of this algorithm for the aftershocks of strong earthquakes of magnitude . The study is also extended by using the Global Centroid Moment Tensor Project catalogue to the case of the six strongest earthquakes in the Earth during the last almost forty years. The predictor time series exhibits the ubiquitous noise behavior.





Author: Stavros-Richard G. Christopoulos and Nicholas V. Sarlis

Source: https://www.hindawi.com/



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