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 OALibJ  Vol.1 No.4 , July 2014
Application of Discrimination Filter Based on the Polarization to the Surface Wave Records
Abstract: As well known, each type of seismic waves has a specific particle motion. The basic surface waves Love and Rayleigh show the particle motions polarized linearly in the transversal-horizontal plane and elliptically in the vertical-radial plane, respectively. Like in the body waves, polarization properties can be used to design the surface wave discrimination filter. The process consists of weighting the amplitudes of vertical (Z), radial (R) and tangential (T) components of the ground motion at each frequency according to the particle motion. The weighting process is applied to entire length of each component for selected window length and moving interval, but weights are not applied to the original phase values. The weighted parts for each window are transformed to the time domain and filtered signals are obtained as the arithmetic average of values of the overlapping points. The method has been applied to the broad-band digital three-component records at stations having about 10° epicenter distances of Bogazici University Kandilli Observatory and Earthquake Research Institute (KOERI) of Erzurum earthquakes and noticed that the window length and moving interval in proportion to epicenter distance affect the results on a large scale. For the cases in which the best results are obtained, it has been determined that the ratio between the window length and moving interval for increased epicenter distances are 3.95, 4.5 and 4.8, respectively.
Cite this paper: Sayil, N. (2014) Application of Discrimination Filter Based on the Polarization to the Surface Wave Records. Open Access Library Journal, 1, 1-15. doi: 10.4236/oalib.1100724.
References

[1]   Simons, R.S. (1968) A Surface Wave Particle Motion Discrimination Process. Bulletin of Seismological Society of America, 58, 629-637.

[2]   Gal’perin, E.I. and Frolova, A.V. (1960) Azimuth-Phase Correlation for Elliptically Polarized Waves, Izvestiya Soviet Academy of Sciences. Geophysics Series, 2, 195-208. (in Russian)

[3]   Shimsoni, M. and Smith, S.W. (1964) Seismic Signal Enhancement with Three Component Detectors. Geophysics, 24, 664-671.
http://dx.doi.org/10.1190/1.1439402

[4]   Flinn, E.A. (1965) Signal Analysis Using Rectilinearity and Direction of Particle Motion. Proceedings of IEEE, 12, 1874-1876.
http://dx.doi.org/10.1109/PROC.1965.4462

[5]   Mercado, B.J. (1968) Linear Filtering of Multicomponent Seismic Data. Geophysics, 33, 926-935.
http://dx.doi.org/10.1190/1.1439986

[6]   Basa, S.H., Ozer, M.F., Osmansahin, I. and Kenar, O. (1994) Polarization Analysis of Three Component Data. Geophysics, 8, 77-89.

[7]   Alkaz, V.G., Onofrash, N.I. and Perelberg, A.I. (1977) Polarization Analysis of Seismic Waves. Shtiintca Press, Kishinev. (in Russian)

[8]   Esmersoy, C. (1984) Polarization Analysis, Rotation and Velocity Estimation in Three Component VSP. In: Toksoz, M.N. and Stewart, R.R., Eds., Vertical Seismic Profiling—Part B: Advanced Concepts, Geophysical Press, Houston, 236-255.

[9]   Jurkevics, A. (1988) Polarization Analysis of Three Component Array Data. Bulletin of Seismological Society of America, 78, 1725-1743.

[10]   Perelberg, A.I. and Hornbostel, S.C. (1994) Applications of Seismic Polarization Analysis. Geophysics, 59, 119-130.
http://dx.doi.org/10.1190/1.1443522

[11]   Osmansahin, I., Özer, M.F. and Sayil, N. (1994) Surface Wave Discrimination Filter Based on Polarization Properties. Geophysics, 8, 99-104.

[12]   Zheng, Y. (1995) Seismic Polarization Filtering: Noise Reduction and Off-Line Imaging. MSC, University of Galgary, Galgary.

[13]   Patane, D. and Ferrari, F. (1999) ASDP: A PC-Based Program Using a Multi-algorithm Approach for Automatic Detection and Location of Local Earthquakes. Physics of the Earth Planetary Interiors, 133, 57-74.
http://dx.doi.org/10.1016/S0031-9201(99)00030-8

[14]   Du, Z., Foulger, G.R. and Weijian, M. (2000) Noise Reduction for Broad-Band, Three Component Seismograms Using Data-Adaptive Polarization Filters. Geophysical Journal International, 141, 820-828.
http://dx.doi.org/10.1046/j.1365-246x.2000.00156.x

[15]   Franco, R. and Musacchio, G. (2001) Polarization Filter with Singular Value Decompozition. Geophysics, 66, 932-938.
http://dx.doi.org/10.1190/1.1444983

[16]   Kutlu, Y.A. (2006) Surface Wave Discrimination Filter Based on Polarization Properties and Its Applications. Ph.D. Thesis, Karadeniz Technical University, Trabzon.

[17]   Kutlu, Y.A. and Sayil, N. (2013) The Modified Surface Wave Particle Motion Discrimination Process. International Journal of the Physical Sciences, 8, 395-405.

[18]   Haubrich, R.A. and McKenzie, G.S. (1965) Earth Noise 5 to 500 Millicycles per Second. Part 2. Journal of Geophysical Research, 70, 1429-1440.
http://dx.doi.org/10.1029/JZ070i006p01429

[19]   Dorman, J. and Prentiss, D. (1960) Particle Amplitude Profiles for Rayleigh Waves on a Heterogeneous Earth. Journal of Geophysical Research, 65, 3805-3816.
http://dx.doi.org/10.1029/JZ065i011p03805

[20]   Saroglu, F., Emre, O. and Kuscu, I. (1992) Active Fault Map of Turkey. General Directorate of Mineral Research and Exploration, Ankara.

 
 
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