Joint Perturbation in Geoacoustic Emission, Radon, Thoron, and Atmospheric Electric Field Based on Observations in Kamchatka

Rulenko, O. P.; Marapulets, Yu. V.; Kuzmin, Yu. D.; Solodchuk, Alexandra

doi:10.1134/s1069351319050094

Cited by 9 publications

(2 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It was shown in [1,2] that AE intensity increases at the frequency of 25 kHz 2-3 days before strong earthquakes. According to [19,20], anomalies in the form of signal level increase appear in the frequency range of more than 6.5 kHz in the AE signals accumulated by 1 s. The results of time-frequency analysis of single AE pulses registered 1-7 days before earthquakes are presented in [21,22]. According to these results, the number of pulses of a certain frequency increases before strong earthquakes.…”

Section: Examples Of Identification Of Pre-seismic Ae Anomaliesmentioning

confidence: 99%

Method of Analysis and Classification of Acoustic Emission Signals to Identify Pre-Seismic Anomalies

Marapulets¹,

Senkevich²,

Lukovenkova³

et al. 2020

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

Section: Examples Of Identification Of Pre-seismic Ae Anomaliesmentioning

confidence: 99%

Method of Analysis and Classification of Acoustic Emission Signals to Identify Pre-Seismic Anomalies

Marapulets¹,

Senkevich²,

Lukovenkova³

et al. 2020

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

“…Continuous monitoring of geophysical signals at various stages of the deformation process has been carried out for more than 20 years at the IKIR FEB RAS geodynamic polygon in the seismically active region (Kamchatka Peninsula). The dynamics of pulse flow parameters of the recorded geophysical signals can be considered as an indicator of the stress-strain state of the geophysical system that generates these signals [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Overview of processing and analysis methods for pulse geophysical signals

et al. 2020

View full text Add to dashboard Cite

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.

show abstract

Exploring soil radon (Rn) concentrations and their connection to geological and meteorological factors

Muhammad,

Danbatta,

Muhammad

et al. 2023

Environ Sci Pollut Res

View full text Add to dashboard Cite

Joint Perturbation in Geoacoustic Emission, Radon, Thoron, and Atmospheric Electric Field Based on Observations in Kamchatka

Cited by 9 publications

References 27 publications

Method of Analysis and Classification of Acoustic Emission Signals to Identify Pre-Seismic Anomalies

Method of Analysis and Classification of Acoustic Emission Signals to Identify Pre-Seismic Anomalies

Overview of processing and analysis methods for pulse geophysical signals

Exploring soil radon (Rn) concentrations and their connection to geological and meteorological factors

Contact Info

Product

Resources

About