Small-scale seismic inversion using surface waves extracted from noise cross correlation | Zendy

Pierre Gouëdard | Zendy; Philippe Roux | Zendy; Michel Campillo | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Small-scale seismic inversion using surface waves extracted from noise cross correlation

Author(s) -

Pierre Gouëdard,

Philippe Roux,

Michel Campillo

Publication year - 2008

Publication title -

the journal of the acoustical society of america

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.619

H-Index - 187

eISSN - 1520-8524

pISSN - 0001-4966

DOI - 10.1121/1.2838251

Subject(s) - seismic noise , ambient noise level , surface wave , fourier transform , geology , noise (video) , cross correlation , dispersion (optics) , autocorrelation , acoustics , inversion (geology) , frequency domain , coherence (philosophical gambling strategy) , scale (ratio) , physics , seismology , optics , mathematics , mathematical analysis , computer science , statistics , sound (geography) , quantum mechanics , artificial intelligence , image (mathematics) , tectonics

International audienceGreen's functions can be retrieved between receivers from the correlation of ambient seismic noise or with an appropriate set of randomly distributed sources. This principle is demonstrated in small-scale geophysics using noise sources generated by human steps during a 10-min walk in the alignment of a 14-m-long accelerometer line array. The time-domain correlation of the records yields two surface wave modes extracted from the Green's function between each pair of accelerometers. A frequency–wave-number Fourier analysis yields each mode contribution and their dispersion curve. These dispersion curves are then inverted to provide the one-dimensional shear velocity of the near surface

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research