Russian Federation
Russian Federation
Institute of Automation and Control Processes, Far Eastern Branch of Russian Academy of Sciences
Russian Federation
Higher School of Economics University
Nizhny Novgorod State Technical University n. a. R. E. Alekseev
Nizhny Novgorod, Russian Federation
Russian Federation
Purpose. The purpose of the work is to investigate the statistical characteristics of background microseismic field recorded using horizontal unequal-arm laser strainmeters, as well as to assess the data deviations from a normal distribution. Methods and Results. The research involved the data from two laser strainmeters developed on the basis of modern laser-interference techniques and installed at the marine experimental station of POI FEB of RAS “Shults Cape” (Primorsky Krai). The analysis was focused at the microdeformations of the Earth's crust upper layer measured by the laser strainmeters with measuring arm lengths 52.5 m (north – south orientation) and 17.5 m (west – east orientation). The microseismic noise field was statistically analyzed using the data from laser-interference devices for 2019–2020. The frequency range under consideration (0.05–0.5 Hz) includes microseisms of the events generated both by terrestrial and marine processes (the range of wind and swell waves). The statistical features of signals were comprehensively analyzed including the assessment of skewness and kurtosis coefficients, also the deviations from normal distribution were revealed. The Gram-Charlier series which shows the best correlation with the empirical data was applied to describe the density of probability function. Kurtosis was predominantly positive for both components that indicated a high likelihood of large-amplitude outliers. Conclusions. The performed analysis made it possible to assess quantitatively the background signal deviations from normal distribution, and to reveal its statistical features. The obtained results are very important for analyzing the background characteristics of microseisms, since the deviations from them allow studying the physical mechanisms of generation and interaction of oceanic, atmospheric and lithospheric processes.
microseismic oscillations, laser strainmeter, noise characteristics, statistical characteristics, skewness coefficient, kurtosis coefficient, Fourier transform, Gram-Charlier series
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