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    ΠœΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠ° выдСлСния ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ‚ΠΈΠ²Π½Ρ‹Ρ… ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΎΠ² Π² сигналах гСоакустичСской эмиссии

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    ИсслСдования гСоакустичСской эмиссии Π² сСйсмоактивном Ρ€Π΅Π³ΠΈΠΎΠ½Π΅ Π½Π°Β ΠšΠ°ΠΌΡ‡Π°Ρ‚ΠΊΠ΅ ΠΏΠΎΠΊΠ°Π·Ρ‹Π²Π°ΡŽΡ‚, Ρ‡Ρ‚ΠΎ ΠΏΡ€ΠΈ ΠΏΠΎΠ΄Π³ΠΎΡ‚ΠΎΠ²ΠΊΠ΅ зСмлСтрясСний ΠΈ ΠΏΠΎΡΠ»Π΅Π΄ΡƒΡŽΡ‰Π΅ΠΉ рСлаксации поля Π»ΠΎΠΊΠ°Π»ΡŒΠ½Ρ‹Ρ… напряТСний Π² ΠΏΡƒΠ½ΠΊΡ‚Π΅ наблюдСний Π² гСоакустичСских сигналах Π²ΠΎΠ·Π½ΠΈΠΊΠ°ΡŽΡ‚Β ΡΡ€ΠΊΠΎ Π²Ρ‹Ρ€Π°ΠΆΠ΅Π½Π½Ρ‹Π΅ ΠΈΠΌΠΏΡƒΠ»ΡŒΡΠ½Ρ‹Π΅ Π°Π½ΠΎΠΌΠ°Π»ΠΈΠΈ. ΠšΠ°Ρ‡Π΅ΡΡ‚Π²Π΅Π½Π½ΠΎΠΌΡƒ Π²Ρ‹Π΄Π΅Π»Π΅Π½ΠΈΡŽ Ρ‚Π°ΠΊΠΈΡ… Π°Π½ΠΎΠΌΠ°Π»ΠΈΠΉΒ ΠΏΡ€Π΅ΠΏΡΡ‚ΡΡ‚Π²ΡƒΡŽΡ‚ сильноС искаТСниС ΠΈ ослаблСниС Π°ΠΌΠΏΠ»ΠΈΡ‚ΡƒΠ΄Ρ‹ сигнала. ΠžΠ±Π·ΠΎΡ€ ΡΡƒΡ‰Π΅ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² Π°Π½Π°Π»ΠΈΠ·Π° акустичСской эмиссии ΠΏΠΎΠΊΠ°Π·Ρ‹Π²Π°Π΅Ρ‚, Ρ‡Ρ‚ΠΎ Ρ‡Π°Ρ‰Π΅ всСго исслСдоватСли ΠΎΠ±Ρ€Π°Ρ‰Π°ΡŽΡ‚ΡΡ ΠΊ Π°Π½Π°Π»ΠΈΠ·Ρƒ энСргСтичСских ΠΈ статистичСских свойств сигналов, ΠΊΠ°ΠΊ Π±ΠΎΠ»Π΅Π΅ доступных для изучСния. ΠžΡ‚Π»ΠΈΡ‡ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΌΠΈ особСнностями ΠΏΡ€Π΅Π΄Π»Π°Π³Π°Π΅ΠΌΠΎΠ³ΠΎ Π°Π²Ρ‚ΠΎΡ€Π°ΠΌΠΈ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Π° ΡΠ²Π»ΡΡŽΡ‚ΡΡ Π²Ρ‹Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ‚ΠΈΠ²Π½Ρ‹Ρ… ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΎΠ² Π½Π° основС Π°Π½Π°Π»ΠΈΠ·Π° Π²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΠΈ частотно-Π²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠΉ структур гСоакустичСских сигналов ΠΈ описаниС ΠΌΠ½ΠΎΠ³ΠΎΠΎΠ±Ρ€Π°Π·Π½Ρ‹Ρ… Ρ„ΠΎΡ€ΠΌ распознаваСмых ΠΈΠΌΠΏΡƒΠ»ΡŒΡΠΎΠ² ΠΎΠ³Ρ€Π°Π½ΠΈΡ‡Π΅Π½Π½Ρ‹ΠΌ Π½Π°Π±ΠΎΡ€ΠΎΠΌ ΠΏΠ°Ρ‚Ρ‚Π΅Ρ€Π½ΠΎΠ². НастоящСС исслСдованиС ΠΎΡ‚ΠΊΡ€Ρ‹Π²Π°Π΅Ρ‚ пСрспСктиву Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ Π½ΠΎΠ²Ρ‹Ρ… ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² выявлСния аномального повСдСния гСоакустичСских сигналов, Π² Ρ‚ΠΎΠΌ числС ΠΈ ΠΏΠ΅Ρ€Π΅Π΄ зСмлСтрясСниями. Π’ Ρ€Π°Π±ΠΎΡ‚Π΅ описана ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠ° извлСчСния ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ ΠΈΠ· ΠΏΠΎΡ‚ΠΎΠΊΠΎΠ² ΠΈΠΌΠΏΡƒΠ»ΡŒΡΠΎΠ² гСоакустичСской эмиссии Π·Π²ΡƒΠΊΠΎΠ²ΠΎΠ³ΠΎ частотного Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π°. ΠŸΡ€Π΅Π΄ΡΡ‚Π°Π²Π»Π΅Π½Π° матСматичСская модСль гСоакустичСского ΠΈΠΌΠΏΡƒΠ»ΡŒΡΠ°, ΠΎΡ‚Ρ€Π°ΠΆΠ°ΡŽΡ‰Π°Ρ процСсс Π³Π΅Π½Π΅Ρ€Π°Ρ†ΠΈΠΈ сигнала ΠΎΡ‚ мноТСства элСмСнтарных источников. ΠŸΡ€ΠΈΠ²ΠΎΠ΄ΠΈΡ‚ΡΡ Ρ€Π΅ΡˆΠ΅Π½ΠΈΠ΅ Π·Π°Π΄Π°Ρ‡ΠΈ выдСлСния ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ‚ΠΈΠ²Π½Ρ‹Ρ… ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΎΠ² Π² гСоакустичСских сигналах ΠΏΡƒΡ‚Π΅ΠΌ описания Ρ„Ρ€Π°Π³ΠΌΠ΅Π½Ρ‚ΠΎΠ² сигнала ΠΌΠ°Ρ‚Ρ€ΠΈΡ†Π°ΠΌΠΈ ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΉ Π°ΠΌΠΏΠ»ΠΈΡ‚ΡƒΠ΄ Π»ΠΎΠΊΠ°Π»ΡŒΠ½Ρ‹Ρ… экстрСмумов ΠΈ ΠΈΠ½Ρ‚Π΅Ρ€Π²Π°Π»ΠΎΠ² ΠΌΠ΅ΠΆΠ΄Ρƒ Π½ΠΈΠΌΠΈ. ΠŸΡ€ΠΈΠ²ΠΎΠ΄ΠΈΡ‚ΡΡ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ примСнСния Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π½ΠΎΠ³ΠΎ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠ° для автоматичСского описания структуры выдСляСмых ΠΈΠΌΠΏΡƒΠ»ΡŒΡΠΎΠ² ΠΈ для образования мноТСства ΠΏΠ°Ρ‚Ρ‚Π΅Ρ€Π½ΠΎΠ², Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ·ΡƒΡŽΡ‰ΠΈΡ… особСнности сигналов гСоакустичСской эмиссии, Π½Π°Π±Π»ΡŽΠ΄Π°Π΅ΠΌΡ‹Ρ… Π½Π° ΠΏΠΎΠ»Π΅Π²Ρ‹Ρ… станциях ИКИР Π”Π’Πž РАН. ΠŸΡ€Π΅Π΄ΡΡ‚Π°Π²Π»Π΅Π½Π° ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠ° сокращСния размСрности мноТСства Π²Ρ‹Π΄Π΅Π»Π΅Π½Π½Ρ‹Ρ… ΠΈΠΌΠΏΡƒΠ»ΡŒΡΠΎΠ², ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‰Π°Ρ Π½Π°ΠΉΡ‚ΠΈ Π±Π»ΠΈΠ·ΠΊΠΈΠ΅ ΠΏΠΎ структурС ΠΏΠ°Ρ‚Ρ‚Π΅Ρ€Π½Ρ‹. ΠŸΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½ΠΎ Ρ€Π΅ΡˆΠ΅Π½ΠΈΠ΅ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΡ‹ ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ большого ΠΏΠΎΡ‚ΠΎΠΊΠ° Π΄Π°Π½Π½Ρ‹Ρ… ΠΏΡƒΡ‚Π΅ΠΌ ΡƒΠ½ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ описания ΠΈΠΌΠΏΡƒΠ»ΡŒΡΠΎΠ² ΠΈ ΠΈΡ… систСматизации. ΠŸΡ€Π΅Π΄Π»Π°Π³Π°Π΅Ρ‚ΡΡ ΠΌΠ΅Ρ‚ΠΎΠ΄ ΠΈΠ΄Π΅Π½Ρ‚ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ ΠΌΠΎΠ΄Π΅Π»ΠΈ гСоакустичСского ΠΈΠΌΠΏΡƒΠ»ΡŒΡΠ° с использованиСм Ρ€Π°Π·Ρ€Π΅ΠΆΠ΅Π½Π½Ρ‹Ρ… аппроксимационных схСм. Π”Π°Π½ΠΎ алгоритмичСскоС Ρ€Π΅ΡˆΠ΅Π½ΠΈΠ΅ Π·Π°Π΄Π°Ρ‡ΠΈ пониТСния Π²Ρ‹Ρ‡ΠΈΡΠ»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ слоТности ΠΌΠ΅Ρ‚ΠΎΠ΄Π° согласованного прСслСдования, Π·Π°ΠΊΠ»ΡŽΡ‡Π°ΡŽΡ‰Π΅Π΅ΡΡ Π²ΠΎ Π²ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠΈ Π² ΠΌΠ΅Ρ‚ΠΎΠ΄ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠ° ΠΈΡ‚Π΅Ρ€Π°Ρ†ΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ уточнСния Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ Π½Π° ΠΊΠ°ΠΆΠ΄ΠΎΠΌ шагС. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ‹Ρ… Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… Ρ€Π°Π±ΠΎΡ‚ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΈ ΡΠΎΠ·Π΄Π°Ρ‚ΡŒ инструмСнт для исслСдования динамичСских свойств сигналов гСоакустичСской эмиссии Π² интСрСсах Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ Π΄Π΅Ρ‚Π΅ΠΊΡ‚ΠΎΡ€ΠΎΠ² прСдсказания зСмлСтрясСний

    Estimation of the power of geoacoustic emission sources registered in Mikizha Lake, Kamchatka region

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    A method for estimating the power of geoacoustic emission sources recorded by a combined hydroacoustic receiver in Mikizha lake (Kamchatka region) is proposed. The results of the method application at different stages of seismic activity are presented

    Analysis of geoacoustic emission and electromagnetic radiation signals accompanying earthquake with magnitude

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    The paper is devoted to the analysis of frequency spectra and pulse waveform variety of the geoacoustic and electromagnetic signals recorded on Kamchatka Peninsula at β€œKarymshina” site during seismically calm and active periods. Signal pre-processing includes pulse detection and their waveforms reconstruction. A frequency spectrum is analyzed using the Adaptive Matching Pursuit algorithm. To study a variety of waveforms, each pulse is encoded by a special descriptive matrix. Then pulse classification based on similarity of the descriptive matrices is performed. Thus, a signal alphabet is formed. The authors analyzed the geophysical signals recorded before, during and after the earthquake with the magnitude Mw = 7.5 dated March 25, 2020. The obtained estimates of frequency spectra and signal alphabets are compared with the analysis results of signal recoded during the seismically calm period of March 22, 2020

    Methods for spatial direction finding of geoacoustic signals at Mikizha Lake in Kamchatka

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    In the framework of the work, a spatial analysis of geoacoustic emissions properties recorded by a hydroacoustic receiver in a shallow Mikizha Lake, Kamchatkskiy kray, is carried out. The features of geoacoustic pulse registration are considered, methods to determine the directions of their arrival and to locate the sources are proposed. Examples of geoacoustic signals during background periods and seismic event preparation periods are presented

    Changes of geoacoustic emission directivity at Β«MikizhaΒ» site associated with earthquakes in Kamchatka

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    To investigate high frequency geoacoustic emission, a receiving system based on a compound vector receiver was installed in Kamchatka. It allows the authors to determine the direction of sound wave arrival. In the result of data analysis for the period from August 2008 to January 2016, it was determined that anomalies of geoacoustic emission directivity occur during the majority of the earthquakes with Ks > 9.0 in the South of Kamchatka

    Changes of geoacoustic emission directivity at Β«MikizhaΒ» site associated with earthquakes in Kamchatka

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    To investigate high frequency geoacoustic emission, a receiving system based on a compound vector receiver was installed in Kamchatka. It allows the authors to determine the direction of sound wave arrival. In the result of data analysis for the period from August 2008 to January 2016, it was determined that anomalies of geoacoustic emission directivity occur during the majority of the earthquakes with Ks > 9.0 in the South of Kamchatka

    Adaptive Approach to Time-Frequency Analysis of AE Signals of Rocks

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    The paper describes a new adaptive approach to the investigation of acoustic emission of rocks, the anomalies of which may serve as short-term precursors of strong earthquakes. The basis of the approach is complex methods for monitoring acoustic emission and for analysis of its time-frequency content. Piezoceramic hydrophones and vector receivers, installed at the bottom of natural and artificial water bodies, as well as in boreholes with water, are used as acoustic emission sensors. To perform a time-frequency analysis of geoacoustic signals, we use a sparse approximation based on the developed Adaptive Matching Pursuit algorithm. The application of this algorithm in the analysis makes it possible to adapt to the concrete characteristics of each geoacoustic pulse. Results of the application of the developed approach for the investigation of acoustic emission anomalies, occurring before earthquakes, are presented. We analyzed the earthquakes, that occurred from 2011 to 2016 in the seismically active region of the Kamchatka peninsula, which is a part of the circum-Pacific orogenic belt also known as the “Ring of Fire”. It was discovered that geoacoustic pulse frequency content changes before a seismic event and returns to the initial state after an earthquake. That allows us to make a conclusion on the transformation of acoustic emission source scales before earthquakes. The obtained results may be useful for the development of the systems for environmental monitoring and detection of earthquake occurrences

    Complex analysis of pre-seismic geoacoustic and electromagnetic emission signals

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    The article describes the results of complex analysis of pre-seismic signals of electromagnetic and geoacoustic radiation. We analyzed the frequency content of single sferics and geoacoustic impulses recorded before the Zhupanov earthquake that occurred on January 30, 2016. The signals were analyzed using sparse approximation method, in particular Adaptive Matched Pursuit. Background signals were studied together with pre-seismic ones. Distributions of frequencies, that are part of background and pre-seismic signals, were compared. Differences in the frequency content of pre-seismic sferics and geoacoustic impulses were found. The revealed features of pre-seismic signals in the future can be used in the design of systems for monitoring, forecasting and prevention of natural disasters. The research was supported by Russian Science Foundation (project No. 18-11-00087)

    Joint perturbation of geoacoustic, emanation, and atmospheric electric fields at the boundary of the earth’s crust and the atmosphere before an earthquake

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    The possibility of joint perturbation of geoacoustic, emanation and atmospheric electric fields by the Earth’s crust β€” atmosphere boundary before an earthquake is considered. In order to detect it, simultaneous registration of these fields was carried out in Kamchatka in August–October 2012. Synchronous anomalous disturbances were recorded 13 days before an earthquake with the magnitude Mw = 5.6 at the distance of 140 km from an epicenter. It may be considered to be a complex short-term precursor

    Overview of processing and analysis methods for pulse geophysical signals

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    The paper discusses the processing and analysis methods for the geoacoustic and electromagnetic emission pulse signals recorded for more than 20 years at the IKIR FEB RAS geodynamic proving ground (Kamchatka Peninsula). The methods for pulse detection, waveform reconstruction, pulse time-frequency analysis using adaptive sparse approximation, structural description of pulse waveforms and pulse classification are proposed. To detect pulses, the adaptive threshold scheme is used. It adjusts to the noise level of a processed signal. To analyze time-frequency structure of the pulses, the adaptive matching pursuit algorithm is used. To identify pulse waveform, the structural description method is proposed. It encodes pulses with special image matrices. The method of the identified pulses classification is considered. Since the methods for pulse structure analysis are sensitive to noise and distortions, the authors propose the method for pulse waveform reconstruction based on wavelet filtering. The geophysical signal information features determined during the analysis can be used to search for anomalies in the data, and then establish a relationship between these anomalies and deformation process dynamics, in particular, with earthquake development processes
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