On the correlation of seismic microtremors

[1] We present results of the analysis of microtremor measurements using a small array. Our analysis is based on the computation of cross-correlation functions between stations in both frequency and time domains. We obtain similar results in both domains and link those results to the application of Aki's spatial autocorrelation method of using a single station pair and to recent studies that have shown that the Green's function between two stations can be retrieved from the temporal cross correlation of seismic noise. We show that the same simple subsoil structure allows interpretation of our correlation results in time and frequency. We observe both Love and Rayleigh waves; however, Love waves dominate the records in our lower-frequency range (between 3.6 and 6 Hz), while Rayleigh waves are prevalent in the records in our higher-frequency band (from 6 to 20 Hz). Frequency domain cross correlation yields better results in the lower-frequency range, while time domain cross correlation shows very clear results in the higher-frequency band. Thus both analyses are complementary. Our results show that ambient vibration recorded at the free surface includes different types of waves but that the correlation between any two stations is governed by the more stable propagation mode between them, surface waves in the case of a layered medium. Our results shed some light on the nature of microtremors and on the reasons why the spatial autocorrelation method or the horizontal-to-vertical spectral ratios are useful in geophysical and site response studies.

[1]  Michael W. Asten,et al.  Resolving a velocity inversion at the geotechnical scale using the microtremor (passive seismic) survey method , 2004 .

[2]  M. Martini,et al.  Shallow velocity structure of Stromboli volcano, Italy, derived from small-aperture array measurements of Strombolian tremor , 1998, Bulletin of the Seismological Society of America.

[3]  Peter Gerstoft,et al.  Extracting time‐domain Green's function estimates from ambient seismic noise , 2005 .

[4]  I. Cho,et al.  A new method to determine phase velocities of Rayleigh waves from microseisms , 2004 .

[5]  Cécile Cornou,et al.  Analysis of dense array noise measurements using the modified spatial auto-correlation method (SPAC): application to the Grenoble area , 2001 .

[6]  K. Sabra,et al.  Ambient noise cross correlation in free space: theoretical approach. , 2005, The Journal of the Acoustical Society of America.

[7]  Michel Campillo,et al.  Emergence of broadband Rayleigh waves from correlations of the ambient seismic noise , 2004 .

[8]  R. Snieder Extracting the Green's function from the correlation of coda waves: a derivation based on stationary phase. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[9]  R. Weaver,et al.  Ultrasonics without a source: thermal fluctuation correlations at MHz frequencies. , 2001, Physical review letters.

[10]  M. Ohori,et al.  A Comparison of ESAC and FK Methods of Estimating Phase Velocity Using Arbitrarily Shaped Microtremor Arrays , 2002 .

[11]  J. Henstridge A signal processing method for circular arrays , 1979 .

[12]  M. Rodriguez,et al.  An Alternative Approach to the spac Analysis of Microtremors: Exploiting Stationarity of Noise , 2005 .

[13]  Francisco J. Chávez-García,et al.  Are microtremors useful in site response evaluation , 1994 .

[14]  J. Capon High-resolution frequency-wavenumber spectrum analysis , 1969 .

[15]  Philippe Roux,et al.  Arrival-time structure of the time-averaged ambient noise cross-correlation function in an oceanic waveguide. , 2005, The Journal of the Acoustical Society of America.

[16]  M. Asten Geological control on the three-component spectra of Rayleigh-wave microseisms , 1978 .

[17]  Peter Goldstein,et al.  What's new in SAC2000? Enhanced Processing and Database Access , 1998 .

[18]  Y Nakamura,et al.  A METHOD FOR DYNAMIC CHARACTERISTICS ESTIMATION OF SUBSURFACE USING MICROTREMOR ON THE GROUND SURFACE , 1989 .

[19]  A. Dziewoński,et al.  A technique for the analysis of transient seismic signals , 1969 .

[20]  Keiiti Aki,et al.  A NOTE ON THE USE OF MICROSEISMS IN DETERMINING THE SHALLOW STRUCTURES OF THE EARTH’S CRUST , 1965 .

[21]  Richard L. Weaver,et al.  Diffuse fields in open systems and the emergence of the Green’s function (L) , 2004 .

[22]  Masanori Horike,et al.  INVERSION OF PHASE VELOCITY OF LONG-PERIOD MICROTREMORS TO THE S-WAVE-VELOCITY STRUCTURE DOWN TO THE BASEMENT IN URBANIZED AREAS , 1985 .

[23]  Kyriazis Pitilakis,et al.  Determination of S-wave velocity structure using microtremors and spac method applied in Thessaloniki (Greece) , 2004 .

[24]  Keiiti Aki,et al.  Space and Time Spectra of Stationary Stochastic Waves, with Special Reference to Microtremors , 1957 .

[25]  R. Weaver,et al.  On the emergence of the Green's function in the correlations of a diffuse field: pulse-echo using thermal phonons. , 2001, Ultrasonics.

[26]  Robert B. Herrmann,et al.  Some aspects of band-pass filtering of surface waves , 1973, Bulletin of the Seismological Society of America.

[27]  K. Wapenaar Retrieving the elastodynamic Green's function of an arbitrary inhomogeneous medium by cross correlation. , 2004, Physical review letters.

[28]  H. Cox Spatial correlation in arbitrary noise fields with application to ambient sea noise , 1973 .

[29]  W. Kuperman,et al.  Extracting coherent wave fronts from acoustic ambient noise in the ocean , 2004 .

[30]  M. Simini,et al.  Shallow structure of Mt. Vesuvius Volcano, Italy, from seismic array analysis , 1997 .

[31]  K. Aki,et al.  Characteristics of seismic waves composing Hawaiian volcanic tremor and gas-piston events observed by a near-source array , 1991 .

[32]  J. Claerbout,et al.  Acoustic daylight imaging via spectral factorization: helioseismology and reservoir monitoring , 1999 .