Observation and analysis of infrasound signals from the 1 January 2024 Japan earthquake

The 1 January 2024 Japan Earthquake occurred off the coast of Noto Peninsula, Japan. Three infrasound arrays s located more than 1400 km away from the epicenter received both local seismic and infrasound signals atmospherically propagating from the epicenter. The back azimuth, elevation angle and other parameters are calculated for the two types of infrasound signals received by the subarray through procedures of Progressive Multi-Channel Correlation (PMCC) and Frequency-Wavenumber (F-K) analysis. Source localization and other processing are also conducted. A recognition feature based on a low-frequency multi-scale entropy algorithm is proposed, and the received seismic signals of this event are correctly identified by using Support Vector Machine (SVM). This paper explores the calculation of earthquake parameters based on local infrasound wave and atmospherically propagated infrasound signals excited by distant earthquake events, and proposes a new method for infrasound signals event identification.

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Publication Details

Journal
NOISE-CON proceedings
Published
2024-10-04
DOI
https://doi.org/10.3397/in_2024_3526
Primary Topic
Earthquake Detection and Analysis
Type
article
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article

Observation and analysis of infrasound signals from the 1 January 2024 Japan earthquake

Jing Zhu, Dong Zhen, Jun Lv, Pengxiao Teng et al.
NOISE-CON proceedings
Earthquake Detection and Analysis
article

Observation and analysis of infrasound signals from the 1 January 2024 Japan earthquake

Jing Zhu, Dong Zhen, Jun Lv, Pengxiao Teng, Guohong Feng, Wei Cheng
article en

Abstract

The 1 January 2024 Japan Earthquake occurred off the coast of Noto Peninsula, Japan. Three infrasound arrays s located more than 1400 km away from the epicenter received both local seismic and infrasound signals atmospherically propagating from the epicenter. The back azimuth, elevation angle and other parameters are calculated for the two types of infrasound signals received by the subarray through procedures of Progressive Multi-Channel Correlation (PMCC) and Frequency-Wavenumber (F-K) analysis. Source localization and other processing are also conducted. A recognition feature based on a low-frequency multi-scale entropy algorithm is proposed, and the received seismic signals of this event are correctly identified by using Support Vector Machine (SVM). This paper explores the calculation of earthquake parameters based on local infrasound wave and atmospherically propagated infrasound signals excited by distant earthquake events, and proposes a new method for infrasound signals event identification.

NOISE-CON proceedingsVol. 270(7)
Hebei University of Technology (CN), Chinese Academy of Sciences (CN), Institute of Acoustics (CN)
Openalex Percentile: Top 82%
Earthquake Detection and Analysis
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Observation and analysis of infrasound signals from the 1 January 2024 Japan earthquake — Jing Zhu, Dong Zhen, et al. · NOISE-CON proceedings (2024) | TGRS Research Map | TGRS