Science and technological developments: article

A.Ya. Sidorin
Schmidt Institute of Physics of the Earth of the Russian Academy of Sciences
Journal: Science and technological developments
Tome: 101
Number: 4
Year: 2022
Pages: 3-4
UDK: 550.8.056
DOI: 10.21455/std2022.4-1
Keywords: seismicity monitoring, earthquake prediction algorithm, prediction of earthquake parameters, self-similarity of a seismic process, adaptive method of searching for tides in seismicity, conditional accumulated seismic energy method, UNSE method, precision geoelectric monitoring, VES, data inversion method, results of inversion of long-term monitoring data
Аnnotation: The special issue of the journal describes new algorithms and methods for processing and interpreting geophysical moni-toring data. An algorithm for predicting parameters, including the time of occurrence, of expected strong earthquakes within given energy and space-time limits, based on the self-similarity of the seismic process, and an adaptive method for searching for the M2 tidal harmonic in seismicity, based on constructing time series of conditional accumulated seismic energy (UNSE) with a given discretization and their adaptive spectral analysis, are proposed. The main features and results of applying the data inversion method for 12-year precision monitoring using VES with a stationary multi-electrode array, which was carried out in a highly seismic region to search for possible earthquake precursors and study the structure of variations in the electrical resistivity of rocks at different depths of the upper part of the Earth’s crust, are described.
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