Suppression of Periodic Disturbances in Seismic Aftershock Recordings for Better Localisation of Underground Explosions

For precise localisation of a potential underground nuclear explosion, the Comprehensive Nuclear-Test-Ban Treaty Organization, during an on-site inspection, can set up seismic sensors to find the very small signals from aftershocks. These signals can be masked by periodic disturbances from, for exam...

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Published inPure and applied geophysics Vol. 171; no. 3-5; pp. 561 - 573
Main Authors Gorschlüter, Felix, Altmann, Jürgen
Format Journal Article
LanguageEnglish
Published Basel Springer Basel 01.03.2014
Springer Nature B.V
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ISSN0033-4553
1420-9136
DOI10.1007/s00024-012-0617-y

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Abstract For precise localisation of a potential underground nuclear explosion, the Comprehensive Nuclear-Test-Ban Treaty Organization, during an on-site inspection, can set up seismic sensors to find the very small signals from aftershocks. These signals can be masked by periodic disturbances from, for example, helicopters. We present a new method to characterise every such disturbance by the amplitude, frequency and phase of the underlying sine in the time domain using a mathematical expression for its Hann-windowed discrete Fourier transform. The contributions of these sines are computed and subtracted from the complex spectrum sequentially. Two examples show the performance of the procedure: (1) synthetic sines superposed to a coal-mine induced event, orders of magnitude stronger than the latter, can be removed successfully, (2) removal of periodic content from the signals of a helicopter overflight reduces the amplitude by a factor 3.3 when the frequencies are approximately constant. The procedure cannot yet cope with peaks that change frequency too fast, for example by the Doppler effect when passing, and with peaks that lie too close to each other. Improvement to solve these problems seems possible.
AbstractList For precise localisation of a potential underground nuclear explosion, the Comprehensive Nuclear-Test-Ban Treaty Organization, during an on-site inspection, can set up seismic sensors to find the very small signals from aftershocks. These signals can be masked by periodic disturbances from, for example, helicopters. We present a new method to characterise every such disturbance by the amplitude, frequency and phase of the underlying sine in the time domain using a mathematical expression for its Hann-windowed discrete Fourier transform. The contributions of these sines are computed and subtracted from the complex spectrum sequentially. Two examples show the performance of the procedure: (1) synthetic sines superposed to a coal-mine induced event, orders of magnitude stronger than the latter, can be removed successfully, (2) removal of periodic content from the signals of a helicopter overflight reduces the amplitude by a factor 3.3 when the frequencies are approximately constant. The procedure cannot yet cope with peaks that change frequency too fast, for example by the Doppler effect when passing, and with peaks that lie too close to each other. Improvement to solve these problems seems possible.
For precise localisation of a potential underground nuclear explosion, the Comprehensive Nuclear-Test-Ban Treaty Organization, during an on-site inspection, can set up seismic sensors to find the very small signals from aftershocks. These signals can be masked by periodic disturbances from, for example, helicopters. We present a new method to characterise every such disturbance by the amplitude, frequency and phase of the underlying sine in the time domain using a mathematical expression for its Hann-windowed discrete Fourier transform. The contributions of these sines are computed and subtracted from the complex spectrum sequentially. Two examples show the performance of the procedure: (1) synthetic sines superposed to a coal-mine induced event, orders of magnitude stronger than the latter, can be removed successfully, (2) removal of periodic content from the signals of a helicopter overflight reduces the amplitude by a factor 3.3 when the frequencies are approximately constant. The procedure cannot yet cope with peaks that change frequency too fast, for example by the Doppler effect when passing, and with peaks that lie too close to each other. Improvement to solve these problems seems possible.[PUBLICATION ABSTRACT]
Author Altmann, Jürgen
Gorschlüter, Felix
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References Peter Bormann. Seismic signals and noise. pages 1 – 34. Deutsches GeoForschungsZentrum GFZ, Potsdam, 2009.
Alan V. Oppenheim and Ronald W. Schafer. Discrete Time Signal Processing. Prentice-Hall, Englewood Cliffs NJ, 2nd edition, 1999.
William H. Press, Saul A. Teukolsky, William T. Vetterling and Brian P. Flannery. Numerical recipes in Pascal: the art of scientific computing. Cambridge University Press, 1st edition, 1989.
E. Oran Brigham. Fast Fourier Transform and Applications. Prentice-Hall, Englewood Cliffs NJ, 2nd edition, 1988.
Burkhard Buttkus, editor. Spectral Analysis and Filter Theory in Applied Geophysics. Springer, 2000.
Steven M. Kay. Modern Spectral Estimation: Theory and Applications. Prentice-Hall, Englewood Cliffs NJ, 1988.
Enders A. Robinson and Sven Treitel, editors. Geophysical Signal Analysis. Prentice-Hall, Englewood Cliffs NJ, 1980.
Jürgen Altmann and Felix Gorschlüter. Removing Periodic Noise to Detect Weak Impulse Events. Poster presented at International Scientific Studies (ISS 09) Conference, Vienna, 10–12 June, 2009. Available from http://www.ctbto.org/fileadmin/user_upload/ISS_2009/Poster/SEISMO-08J%20%28Germany%29%20-%20Jurgen_Altmann%20and%20Felix_Gorschluter.pdf (16. Dec. 2011).
Monika Bischoff, Alpan Cete, Ralf Fritschen and Thomas Meier. Coal mining induced seismicity in the Ruhr Area, Germany. Pure Appl. Geophys., 167:63–75, 2010.
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StartPage 561
SubjectTerms Aftershocks
Amplitudes
Coal mines
Disturbances
Doppler effect
Earth and Environmental Science
Earth Sciences
Explosions
Fourier transforms
Geophysics
Geophysics/Geodesy
Helicopters
Mathematical analysis
Mathematical models
Recording
Seismology
Underground storage
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Title Suppression of Periodic Disturbances in Seismic Aftershock Recordings for Better Localisation of Underground Explosions
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