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Research on Interference Signal Recognition in P Wave Pickup and Magnitude Estimation

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Abstract

In order to analyze the ability of STA/LTA, AIC, STA/LTA + AIC, and W-AIC methods to recognize interference signals during P wave pickup, we selected a large number of KiK-Net records for P wave arrival time recognition. The results indicate that a single method has limited recognition ability for interference signals. The STA/LTA combined with AIC method adds limiting conditions at the trigger point, achieving recognition accuracy of 93.0% and 91.7% for spike signals and drift signals. This method has good stability and accuracy for picking up P wave arrival. For regular interference signals, the accuracy of picking up after wavelet decomposition and reconstruction reaches 87.8%. In order to more accurately identify interference signals and improve pickup accuracy, different methods can be combined. On the other hand, there is a linear relationship between the amplitude and magnitude of the P band Fourier spectrum. The variances for P waves in the first 5 s in calculating earthquake magnitudes are 0.602, 0.462, and 0.423 for acceleration, velocity, and displacement, respectively. The results can provide reference for earthquake early warning algorithms based on artificial intelligence technology.

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Data Availability

The KiK-Net strong earthquake records downloaded from the website of the National Research Institute for Earth Science and Disaster Prevention (NIED). The website is http://www.kyoshin.bosai.go.jp.

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Acknowledgements

Most figures were plotted using Matlab. Some figures were plotted using GMT (The Generic Mapping Tools, http://gmt.soest.hawaii.edu/projects/gmt/wiki/download).

Funding

This research is supported by the Natural Science Foundation of Jiangsu Province (Grants No BK20210950), and Open Fund for Jiangsu Engineering Laboratory of Structure Assembly Technology on Urban and Rural Residence, Huaiyin Institute of Technology (JSZP201903).

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Authors and Affiliations

  1. Faculty of Architecture and Civil Engineering, Huaiyin Institute of Technology, Huaian, 223001, Jiangsu, China

    Deyu Yin, Yadong Chen, Yushun Yang, Yongzhen Cheng & Chunlei Zhang

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  1. Deyu Yin
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  2. Yadong Chen
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  4. Yongzhen Cheng
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Correspondence to Deyu Yin.

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Yin, D., Chen, Y., Yang, Y. et al. Research on Interference Signal Recognition in P Wave Pickup and Magnitude Estimation. Geotech Geol Eng 42, 1835–1848 (2024). https://doi.org/10.1007/s10706-023-02648-6

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  • DOI: https://doi.org/10.1007/s10706-023-02648-6

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