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Stationary phase approximation in the ambient noise method revisited 被引量:3

Stationary phase approximation in the ambient noise method revisited
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摘要 The method of extracting Green's function between stations from cross correlation has proven to be effective theoretically and experimentally. It has been widely applied to surface wave tomography of the crust and upmost mantle. However, there are still controversies about why this method works. Snieder employed stationary phase approximation in evaluating contribution to cross correlation function from scatterers in the whole space, and concluded that it is the constructive interference of waves emitted by the scatterers near the receiver line that leads to the emergence of Green's function. His derivation demonstrates that cross correlation function is just the convolution of noise power spectrum and the Green's function. However, his derivation ignores influence from the two stationary points at infinities, therefore it may fail when attenuation is absent. In order to obtain accurate noise-correlation function due to scatters over the whole space, we compute the total contribution with numerical integration in polar coordinates. Our numerical computation of cross correlation function indicates that the incomplete stationary phase approximation introduces remarkable errors to the cross correlation function, in both amplitude and phase, when the frequency is low with reasonable quality factor Q. Our results argue that the dis- tance between stations has to be beyond several wavelengths in order to reduce the influence of this inaccuracy on the applications of ambient noise method, and only the station pairs whose distances are above several (〉5) wavelengths can be used. The method of extracting Green's function between stations from cross correlation has proven to be effective theoretically and experimentally. It has been widely applied to surface wave tomography of the crust and upmost mantle. However, there are still controversies about why this method works. Snieder employed stationary phase approximation in evaluating contribution to cross correlation function from scatterers in the whole space, and concluded that it is the constructive interference of waves emitted by the scatterers near the receiver line that leads to the emergence of Green's function. His derivation demonstrates that cross correlation function is just the convolution of noise power spectrum and the Green's function. However, his derivation ignores influence from the two stationary points at infinities, therefore it may fail when attenuation is absent. In order to obtain accurate noise-correlation function due to scatters over the whole space, we compute the total contribution with numerical integration in polar coordinates. Our numerical computation of cross correlation function indicates that the incomplete stationary phase approximation introduces remarkable errors to the cross correlation function, in both amplitude and phase, when the frequency is low with reasonable quality factor Q. Our results argue that the dis- tance between stations has to be beyond several wavelengths in order to reduce the influence of this inaccuracy on the applications of ambient noise method, and only the station pairs whose distances are above several (〉5) wavelengths can be used.
出处 《Earthquake Science》 CSCD 2010年第5期425-431,共7页 地震学报(英文版)
基金 supported by the National Natural Science Foundation of China (No. 40674027) CAS outstanding 100 research program,MOST program 2007FY220100
关键词 ambient seismic noise stationary phase approximation Green's function ambient seismic noise stationary phase approximation Green's function
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  • 1Cho K H, Herrmann R B, Ammon C J and Lee K (2007). Imaging the upper crust of the Korean Peninsula by surface-wave tomography. Bull Seismol Soc Am 97(1): 198-207.
  • 2Cong L and Mitchell B J (1998). Seismic velocity and Q structure of the middle eastern crust and upper mantle from surface wave dispersion and attenuation. Pure Appl Geophys 153(2-4) 503-538.
  • 3Derode A, Larose E, Campillo M and Fink M (2003a). How to estimate the Green's fimction of a heterogeneous medium between two passive sensors? Application to acoustic waves. Appl Phys Lett 83(15): 3 054-3 056.
  • 4Derode A, Larose E, Tanter, M, de Rosny J, Tourin A, Campillo M and Fink M (2003b). Recovering the Green's function from field-field correlations in an open scattering medium (L) JAcoust Soc Am 113(6): 2 973-2 976.
  • 5Draganov D, Campman X, Thorbecke J, Verdel A and Wapenaar K (2009). Reflection images from ambient seismic noise. Geophysics 74: A63-A67.
  • 6Kang T S and Shin J S (2006). Surface-wave tomography from ambient seismic noise of accelerograph networks in southern Korea. Geophys Res Lett 33(17): L17303.
  • 7Pedersen H A and Kruger F (2007). Influence of the seismic noise characteristics on noise correlations in the baltic shield. Geophys J Int 168(1): 197-210.
  • 8Roux P, Sabra K G, Gerstoft P, Kuperman W A and Fehler M C (2005). P-waves from cross-correlation of seismic noise. Geophys Res Lett 32(19): L19303.
  • 9Sabra K G, Gerstoft P, Roux P, Kuperman W A and Fehler M C (2005). Surface wave tomography from microseisms in Southern California. Geophys Res Lett 32(14): L14311.
  • 10Shapiro N M and Campillo M (2004). Emergence of broadband Rayleigh waves from correlations of the ambient seismic noise. Geophys Res Lett 31(7): L07614.

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