Analysis of seismic anomalies in northern state of New Zealand based on Schumann resonance time-frequency diagram

Mingyi Que; Yongming Huang; Yong Lu

doi:10.1117/12.2682266

26 May 2023 Analysis of seismic anomalies in northern state of New Zealand based on Schumann resonance time-frequency diagram

Mingyi Que, Yongming Huang, Yong Lu

Author Affiliations +

Proceedings Volume 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023); 127000A (2023) https://doi.org/10.1117/12.2682266
Event: International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 2023, Nanchang, China

Abstract

Schumann resonance is a phenomenon in the extremely low frequency electromagnetic field, which is generally presented in the form of spectrum diagram and time-frequency diagram in the form of data. In this paper, based on the analysis of the data of Schumann resonance 0~50Hz time-frequency diagram, the time difference matrix and frequency difference matrix of the first and second order of the Schumann resonance time-frequency diagram are extracted respectively, and the time-frequency diagram is encoded and decoded by convolution autoencoder. In the process of encoding and decoding, the mapping function is constructed by combining the constraints, and the time-frequency diagram is decomposed and fitted, so as to improve the ability of data to reflect changes. Then, according to the seven different index matrices obtained, the determinant, rank and trace of each index matrix are obtained, and the earthquakes with magnitude above six in the northern state of New Zealand from 2016 to 2019 are analyzed. The final experimental results show that there is a certain degree of feedback phenomenon in the selected analysis indicators in the research object of this paper for a period of time before and after the event, which shows that the method of time-frequency diagram analysis is feasible.

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Mingyi Que, Yongming Huang, and Yong Lu "Analysis of seismic anomalies in northern state of New Zealand based on Schumann resonance time-frequency diagram", Proc. SPIE 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 127000A (26 May 2023); https://doi.org/10.1117/12.2682266

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KEYWORDS

Matrices

Time-frequency analysis

Earthquakes

Electromagnetism

Analytical research

Reflection

Image processing

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