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Discrimination between stochastic dynamics patterns of ambient noises (Case study for Oni seismic station)

Matcharashvili T., Chelidze T., Javakhishvili Z., Zhukova N., Jorjiashvili N., Shengelia I.

Acta Geophysica

2013

Vol. 61, no. 6

1659--1676

Investigation of complex dynamics of ambient seismic noise remains as an important scientific research challenge. In this work we investigated dynamical features of the ambient noises at Oni seismic station, Georgia. We used stochastic model reconstruction method from measured data sets. Seismic records for different time periods around Oni seismic station have been analysed. It was shown that the dynamics of fluctuations of seismic noise vertical component undergoes essential changes for considered time period from 2005 to 2012. These changes are more noticeable for time periods of preparation and aftershock activity of strong M6.0 earthquake occurred in 2009 in the vicinity of Oni seismic station.

Scaling features of ambient noise at different levels of local seismic activity. A case study for the Oni seismic station

Matcharashvili T., Chelidze T., Javakhishvili Z., Zhukova N.

Acta Geophysica

2012

Vol. 60, no. 3

809-832

Investigation of dynamical features of ambient seismic noise is one of the important scientific and practical research challenges. We investigated scaling features of the ambient noises at the Oni seismic station, Georgia, using detrended fluctuation analysis method. Data from this seismic station, located in the epicentral zone of Oni M6.0, 2009, earthquake, were selected to include time periods with different levels of local seismic activity. It was shown that the investigated ambient noise is persistent longrange correlated at calm seismic conditions in the absence of earthquakes. Fluctuation features of the analyzed ambient noises were affected by local earthquakes, while remote seismic activity caused just slight quantitative changes. Processes related to the preparation of a strong local earthquake may cause quantifiable changes in fluctuation features of ambient noises. Fluctuation features of seismic noise for periods of increased local seismic activity cease to be long-range correlated and appear to become a complicated mixture of random and correlated behaviours.