Temporal clustering of the seismicity of the Absheron-Prebalkhan region in the Caspian Sea area

Abstract

Abstract. The historical and instrumental catalog of the Absheron-Prebalkhan region in the Caspian Sea area was analyzed in order to reveal the existence of temporal clustering in the time dynamics of the seismicity. The timespan of the catalog is from 1842 to 2012 and the magnitude of the events ranges from 2.5 to 6.8. The Gutenberg-Richter analysis indicates 4.0 as the completeness magnitude of the catalog. The temporal clustering analysis was performed over the sequence of events with magnitude M ≥ 4 by using the methods of the Allan Factor and the coefficient of variation. Both the methods have revealed the presence of timeclusterized structures in the time dynamics of large events in the Absheron-Prebalkhan region. Such findings, which suggest a non-Poissonian behavior of the seismicity of the investigated area, could contribute to a deeper knowledge of the time dynamics of the seismicity and to a better assessment of the relative seismic hazard.

Multifractal detrended fluctuation analysis of earthquake magnitude series of Mexican South Pacific Region

“…Although the most of the studies of fractal/multifractal characteristics of earthquake sequences have been extensively focused on the space and time domain [7,26,30], very few works have investigated the fractal/multifractal features of the earthquake magnitude series. Lennartz et al [14] studied the long-range correlations of the magnitude sequences in Northern and Southern California by using the detrended fluctuation analysis (DFA) and showed that the temporal fluctuations of magnitudes are characterized by long-term memory.…”

Multifractal detrended fluctuation analysis of magnitude series of seismicity of Kachchh region, Western India

“…. , 10. The generalized Hurst exponents indicate that the aftershock-depleted catalogue is multifractal, just like the whole one.…”

“…Although the analysis of fractal/multifractal characteristics of earthquake sequences has been extensively investigated in the space and time domain [6][7][8][9][10][11][12], very few works exist focused on the fractal/multifractal features of the earthquake magnitude sequences. Lennartz et al [13] studied the long-range correlations of the magnitude sequences in Northern and Southern California by using the detrended fluctuation analysis (DFA) and provided evidence that there is long-term memory in the seismic activity explained in the temporal fluctuations of magnitudes.…”

Investigation of the Spatial Clustering Properties of Seismic Time Series: A Comparative Study from Shallow to Intermediate‐Depth Earthquakes

“…Usually, in statistical analysis, earthquakes can be treated as spatiotemporal stochastic point processes [9,10] due to their nonhomogeneous occurrence time. In such processes, spatial and temporal clustering behaviors featured by correlations come to light and develop into important properties of seismic activity [11][12][13][14][15][16][17][18][19][20]. In seismology, such correlations originate from multifarious microscopic dynamics, governing complex interactions of many components over a worldwide range of time or space scales.…”