Annals of Geophysics · 2014 · 14 citations · 31 references
GeophysicsGround MotionEngineeringInduced SeismicitySeismologyGravity ChangesPreseismic ActivityNeural NetworkGeographyEarthquake SourceGravity FieldEarthquake ScenarioGrace Satellite ObservationsPowerful EarthquakesSeismic HazardEarth ScienceEarthquake ForecastingGeodesy
The variations of gravity field have been analyzed in this article, in order to find disturbances in the vicinity of recent great earthquakes epicenters including Chile (February 27, 2010), Tohoku-Oki (March 11, 2011) and Indian Ocean (April 11, 2012) prior to the events. For this purpose, the 10 years long time series of gravitational gradient components obtained from weekly Gravity Recovery And Climate Experiment (GRACE) solutions have been used. Some of gravitational gradient components are independent to GRACE stripy error and amplify high frequency components of gravity field. Therefore that preseismic activity can be better illustrated. The interquartile method has been used to construct the higher and lower bounds in time series to detect outlying solution outside the bounds associated with impending earthquakes. Afterwards, Nonlinear Auto-Regressive models with eXogenous inputs (NARX) neural network has been proposed in the detection process of prominent gravity field anomalies prior the earthquakes. Both methods detect considerable anomalous occurrences during 2-5 weeks prior to the earthquakes. Our results statistics show that the anomalous deviations before the earthquakes have different signs and amplitudes at different cases.
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GRACE Measurements of Mass Variability in the Earth System
B. D. Tapley, Srinivas Bettadpur, John Ries et al. · Science · 2004 · 2.5K citations
Post‐processing removal of correlated errors in GRACE data
Sean Swenson, John Wahr · Geophysical Research Letters · 2006 · 1.5K citations · Full text
Coseismic and postseismic slip of the 2011 magnitude-9 Tohoku-Oki earthquake
Shinzaburo Ozawa, Takuya Nishimura, Hisashi Suito et al. · Nature · 2011 · 781 citations