Abstract
Timely warning of disasters caused by earthquakes ensures life safety. Therefore, the search for markers of pre-seismic events preceding earthquakes remains an important research task. The article presents experimental methods for assessing seismic activity in the Kamchatka region based on the results of processing and analysis of geoacoustic and electromagnetic emission signals. The research is aimed at detecting anomalies in quantitative and qualitative indicators that characterize the pulse streams of acoustic emission of near-surface rocks and electromagnetic emission in the surface layer of the atmosphere. Signal processing and analysis are carried out using special algorithms that take into account the structural features of the variety of pulse shapes and their distribution over time.
Highlights
The search for stable markers of seismic events based on the analysis of seismic and electromagnetic signals, despite a fairly long history of study, is constantly in the attention of researchers
The geoacoustic emission (GAE) signals observed in the surface layer of the Earth, as well as electromagnetic radiation (EMR) signals recorded in the surface layer of the atmosphere are considered. [3, 4]
Research on the possibility of creating detectors of anomalies associated with seismic events in these geophysical signals has been carried out at IKIR FEB RAS (Kamchatka)
Summary
The search for stable markers of seismic events based on the analysis of seismic and electromagnetic signals, despite a fairly long history of study, is constantly in the attention of researchers. The most significant earthquake prediction models were created, for example [1, 2] These models are mainly based on the analysis of very low frequency acoustic oscillations (up to 100 Hz). Despite the different physical nature of the considered emission signals, the group behavior of geoacoustic and electromagnetic pulses are similar. The idea of the approach is to transform the stream of pulses of the emission geophysical signal into a code message. This will allow us to apply methods and algorithms of linguistic analysis
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