An Application of the Coherent Noise Model for the Prediction of Aftershock Magnitude Time Series

Stavros-Richard G. Christopoulos; N. V. Sarlis

doi:10.1155/2017/6853892

An Application of the Coherent Noise Model for the Prediction of Aftershock Magnitude Time Series

Stavros-Richard G. Christopoulos, N. V. Sarlis

National and Kapodistrian University of Athens

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

65 Downloads (Pure)

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. (This abstract contains graphics that are better viewed from the linked URL)

Original language	English
Article number	6853892
Journal	Complexity
Volume	2017
DOIs	https://doi.org/10.1155/2017/6853892
Publication status	Published - 20 Feb 2017

Bibliographical note

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.

Access to Document

10.1155/2017/6853892Licence: CC BY

ApplicationFinal published version, 7.41 MBLicence: CC BY

Stavros Christopoulos
- Complex Systems Honorary and Visiting Researchers - ICS Research Fellow
Person: Other

Cite this

@article{6e77b08a498443e487769b00c4016962,

title = "An Application of the Coherent Noise Model for the Prediction of Aftershock Magnitude Time Series",

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. (This abstract contains graphics that are better viewed from the linked URL) ",

author = "Christopoulos, {Stavros-Richard G.} and Sarlis, {N. V.}",

note = "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.",

year = "2017",

month = feb,

day = "20",

doi = "10.1155/2017/6853892",

language = "English",

volume = "2017",

journal = "Complexity",

issn = "1076-2787",

publisher = "Wiley",

}

TY - JOUR

T1 - An Application of the Coherent Noise Model for the Prediction of Aftershock Magnitude Time Series

AU - Christopoulos, Stavros-Richard G.

AU - Sarlis, N. V.

N1 - 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.

PY - 2017/2/20

Y1 - 2017/2/20

N2 - 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. (This abstract contains graphics that are better viewed from the linked URL)

AB - 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. (This abstract contains graphics that are better viewed from the linked URL)

U2 - 10.1155/2017/6853892

DO - 10.1155/2017/6853892

M3 - Article

SN - 1076-2787

SN - 1099-0526

VL - 2017

JO - Complexity

JF - Complexity

M1 - 6853892

ER -

An Application of the Coherent Noise Model for the Prediction of Aftershock Magnitude Time Series

Abstract

Bibliographical note

Access to Document

Fingerprint

Profiles

Stavros Christopoulos

Cite this