A. Ya. Sidorin

The first part of this work discussed the software requirements for working with geophysical monitoring data. This paper considers the technology for studying similar signals realized in the WinABD program. In contrast to many statistical analysis programs, WinABD supports a complete cycle of operations necessary for working with experimental time series. The software includes a database management system, a powerful research apparatus, and an interactive data visualization environment. The program makes it possible to analyze the structure of series and reveal dependences and interrelations between signals. There are a large number of nonstandard tools and methods necessary for everyday work with nonideal data. A moving time window technology is widely used, which makes it possible to study the development of all processes with time and reveal variations related to any events. A special “window-slamming” technology at the boundaries of a series makes it possible to carry out processing with a decreasing length of the series, which allows arbitrary combination of the applied methods. All of the procedures admit the presence of gaps in observations. For all data operations, a calendar time scale is used, which substantially improves convenience of operation. Correct joint processing of series with unidentical onset dates and noncoinciding observation periodicity is provided.

Analysis of earthquake catalogues on 14 world regions has revealed a distinct diurnal periodicity of seismic events in all of them. The amplitude of the diurnal variations usually decreases with an increase in earthquake energy, although in some regions, the time series of strong earthquakes also demonstrate diurnal periodicity. Earthquakes are more frequent at night. The acrophase of the course of diurnal seismicity correlates with geographic longitude. The Rayleigh — Schuster hodographs of diurnal periodicity demonstrate sharp changes (kinks) in the vicinity of the equinox and solstice moments. The annual hodograph of the diurnal periodicity of earthquakes is distinctly divided by the equinox moments into segments with different slopes. The defined segments differ in the amplitude and acrophase of the course of diurnal seismicity. The data imply influence of the mutual positions of the Sun and Earth on seismicity in different world regions. Possible mechanisms responsible for such influence are discussed.

Abstract. The problem of earthquake prediction and the methods of identification of geophysical precursory signals are discussed. To get information on the dynamics of earthquake preparation processes, fluctuations in geophysical time series are analyzed with the method of flicker-noise spectroscopy. Integral indices – power spectra and various moments ("structural functions") – are used as information relations. We demonstrate that the method allows us to reveal earthquake precursors.