Scaling behavior of the temporal variability in self-potential data recorded in the frequency range 0 < f < 0.125 Hz during 1995 at Acapulco station (Mexico) was identified and analyzed. In this period, a strong earthquake (Ms = 7.4) struck the monitored area on September 14, 1995. Using the detrended fluctuation analysis (DFA), which is a powerful method to detect scaling in nonstationary time series, deviations from stable power-law scaling were quantified. Our findings point to an evident unstable scaling behavior in self-potential data before the occurrence of the seismic event. These first results could be useful in the framework of earthquake prediction studies.
Scaling instability in self-potential earthquake-related signals
Telesca L;
2009
Abstract
Scaling behavior of the temporal variability in self-potential data recorded in the frequency range 0 < f < 0.125 Hz during 1995 at Acapulco station (Mexico) was identified and analyzed. In this period, a strong earthquake (Ms = 7.4) struck the monitored area on September 14, 1995. Using the detrended fluctuation analysis (DFA), which is a powerful method to detect scaling in nonstationary time series, deviations from stable power-law scaling were quantified. Our findings point to an evident unstable scaling behavior in self-potential data before the occurrence of the seismic event. These first results could be useful in the framework of earthquake prediction studies.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
