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Acta Geophysica

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Open Access
Online
ISSN
1895-7455
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Volume 63, Issue 2 (Apr 2015)

Issues

Method for Identifying Micro-seismic P-Arrival by Time-frequency Analysis Using Intrinsic Time-Scale Decomposition

Ruihong Zhang
  • Corresponding author
  • Department of Civil Engineering, North China Institute of Science and Technology, Sanhe-Hebei, China
  • Email:
/ Lihua Zhang
  • Department of Civil Engineering, North China Institute of Science and Technology, Sanhe-Hebei, China
  • Email:
Published Online: 2015-03-27 | DOI: https://doi.org/10.1515/acgeo-2015-0007

Abstract

A method to identify the P-arrival of microseismic signals is proposed in this work, based on the algorithm of intrinsic timescale decomposition (ITD). Using the results of ITD decomposition of observed data, information of instantaneous amplitude and frequency can be determined. The improved ratio function of short-time average over long-time average and the information of instantaneous frequency are applied to the time-frequency-energy denoised signal for picking the P-arrival of the microseismic signal. We compared the proposed method with the wavelet transform method based on the denoised signal resulting from the best basis wavelet packet transform and the single-scale reconstruction of the wavelet transform. The comparison results showed that the new method is more effective and reliable for identifying P-arrivals of microseismic signals.

Keywords : micro-earthquake; P-arrival; ITD; time-frequency analysis; denoising

References

  • Allen, R. (1978), Automatic earthquake recognition and timing from single traces, Bull. Seismol. Soc. Am. 68, 5, 1521-1532.

  • Allen, R. (1982), Automatic phase pickers: Their present use and future prospects, Bull. Seismol. Soc. Am. 72, 6B, 225-242.

  • Baer, M., and U. Kradolfer (1987), An automatic phase picker for local and teleseismic events, Bull. Seismol. Soc. Am. 77, 4, 1437-1445.

  • Bai, C., and B.L.N. Kennett (2000), Automatic phase-detection and identification by full use of a single three-component broadband seismogram, Bull. Seismol.Soc. Am. 90, 1, 187-198, DOI: 10.1785/0119990070. [Crossref]

  • Dai, H., and C. MacBeth (1995), Automatic picking of seismic arrivals in local earthquake data using artificial neural network, Geophys. J. Int. 120, 3, 758-774, DOI: 10.1111/j.1365-246X.1995.tb01851.x. [Crossref]

  • Daubechies, I. (1992), Ten Lectures on Wavelets, SIAM, Philadelphia, 357 pp.

  • Earle, P.S., and P.M. Shearer (1994), Characterization of global seismograms using an automatic-picking algorithm, Bull. Seismol. Soc. Am. 84, 2, 366-376.

  • Frei, M.G., and I. Osorio (2007), Intrinsic time-scale decomposition: timefrequency- energy analysis and real-time filtering of non-stationary signals, Proc. R. Soc. A 463, 321-342, DOI: 10.1098/rspa.2006.1761. [Web of Science] [Crossref]

  • Galiana-Merino, J.J., J. Rosa-Herranz, J. Giner, S. Molina, and F. Botella (2003), De-noising of short-period seismograms by wavelet packet transform, Bull.

  • Seismol. Soc. Am. 93, 6, 2554-2562, DOI: 10.1785/0120010133. [Crossref]

  • Galiana-Merino, J.J., J. Rosa-Herranz, P. Jáuregui, S. Molina, and J. Giner (2007), Wavelet transform methods for azimuth estimation in local threecomponent seismograms, Bull. Seismol. Soc. Am. 97, 3, 793-803, DOI: 10.1785/0120050225. [Crossref]

  • Liu, J.S., Y. Wang, and Z.X. Yao (2013), On micro-seismic first arrival identification: A case study, Chin. J. Geophys. 56, 5, 1660-1666, DOI: 10.6038/ cjg20130523. [Crossref]

  • Ma, Q. (2008), Study and application on earthquake early warning, Ph.D. Thesis, Institute of Engineering Mechanics, China Earthquake Administration, Harbin, China (in Chinese).

  • McEvilly, T.V., and E.L. Majer (1982), ASP: An Automated Seismic Processor for microearthquake networks, Bull. Seismol. Soc. Am. 72, 1, 303-325.

  • Ye, G.X., F.X. Jiang, and S.H. Yang (2008), Possibility of automatically picking first arrival of microseismic wave by energy eigenvalue method, Chin. J. Geophys. 51, 5, 1574-1581.

  • Zhang, H., C. Thurber, and C. Rowe (2003), Automatic P-wave arrival detection and picking with multiscale wavelet analysis for single-component recordings, Bull. Seismol. Soc. Am. 93, 5, 1904-1912, DOI: 10.1785/0120020241. [Crossref]

  • Zhang, R.H., D.C. Lin, and L. Qiao (2011), Application of the optimum wavelet packet transform in de-noising seism signals, J. Seismol. Res. 34, 3, 358-364.

  • Zhang, R.H., H.W. Qi, D.C. Lin, and L. Qiao (2012), Micro-seismic signal denoising based on intrinsic time-scale decomposition algorithm, Safety Coal Min. 43, 3, 164-168.

About the article

Received: 2014-01-25

Revised: 2014-11-26

Accepted: 2014-12-09

Published Online: 2015-03-27

Published in Print: 2015-04-01


Citation Information: Acta Geophysica, ISSN (Online) 1895-7455, DOI: https://doi.org/10.1515/acgeo-2015-0007. Export Citation

© 2015. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. (CC BY-NC-ND 3.0)

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