Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1763776 | Advances in Space Research | 2015 | 9 Pages |
Abstract
Anomaly detection in time series of different earthquake precursors is an essential introduction to create an early warning system with an allowable uncertainty. Since these time series are more often non linear, complex and massive, therefore the applied predictor method should be able to detect the discord patterns from a large data in a short time. This study acknowledges Firefly Algorithm (FA) as a simple and robust predictor to detect the TEC (Total Electron Content) seismo-ionospheric anomalies around the time of the some powerful earthquakes including Chile (27 February 2010), Varzeghan (11 August 2012) and Saravan (16 April 2013). Outstanding anomalies were observed 7 and 5Â days before the Chile and Varzeghan earthquakes, respectively and also 3 and 8Â days prior to the Saravan earthquake.
Keywords
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Space and Planetary Science
Authors
Mehdi Akhoondzadeh,