Title of article :
Time-Dependent Scaling Patterns in Sarpol-e Zahab Earthquakes
Author/Authors :
Maleki, Yasaman Faculty of Mathematical Sciences - Alzahra University, Tehran, Iran , Allamehzadeh, Mostafa Earthquake Prediction National Center - International Institute of Earthquake Engineering and Seismology (IIEES), Tehran, Iran
Abstract :
In this paper, the dynamics seismic activity and fractal structures in magnitude time
series of Sarpol-e Zahab earthquakes are investigated. In this case, the dynamics
seismic activity is analyzed through the evolution of the scaling parameter so-called
Hurst exponent. By estimating the Hurst parameter, we can investigate how the
consecutive earthquakes are related. It has been observed that more than one
scaling exponent is needed to account for the scaling properties of earthquake
time series. Therefore, the influence of different time-scales on the dynamics
of earthquakes is measured by decomposing the seismic time series into simple
oscillations associated with distinct time-scales. To this end, the empirical
mode decomposition (EMD) method was used to estimate the locally long-term
persistence signature derived from the Hurst exponent. As a result, the timedependent
Hurst exponent, H(t), was estimated and all values of H>0.5 was
obtained, indicating a long-term memory exists in earthquake time series. The
main contribution of this paper is estimating H(t) locally for different time-scales
and investigating the long-memory behavior exist in the non-stationary multifractal
time-series. The time-dependent scaling properties of earthquake time series are
associated with the relative weights of the amplitudes at characteristic frequencies.
The superiority of the method is the simplicity and the accuracy in estimating
the Hurst exponent of earthquakes in each time, without any assumption on the
probability distribution of the time series.
Keywords :
Long-memory , Timedependent Hurst parameter estimation , Empirical mode decomposition
Journal title :
Astroparticle Physics