On measuring surface wave phase velocity from station-station cross-correlation of ambient signal

74Citations
Citations of this article
133Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

We apply two different algorithms to measure surface wave phase velocity, as a function of frequency, from seismic ambient noise recorded at pairs of stations from a large European network. The two methods are based on consistent theoretical formulations, but differ in the implementation: one method involves the time-domain cross-correlation of signal recorded at different stations; the other is based on frequency-domain cross-correlation, and requires finding the zero-crossings of the real part of the cross-correlation spectrum. Furthermore, the time-domain method, as implemented here and in the literature, practically involves the important approximation that interstation distance be large compared to seismic wavelength. In both cases, cross-correlations are ensemble-averaged over a relatively long period of time (1 yr). We verify that the two algorithms give consistent results, and infer that phase velocity can be successfully measured through ensemble-averaging of seismic ambient noise, further validating earlier studies that had followed either approach. The description of our experiment and its results is accompanied by a detailed though simplifed derivation of ambient-noise theory, writing out explicitly the relationships between the surface wave Green's function, ambient-noise cross-correlation and phase and group velocities © The Authors 2012. Published by Oxford University Press on behalf of The Royal Astronomical Society.

Cite

CITATION STYLE

APA

Boschi, L., Weemstra, C., Verbeke, J., Ekström, G., Zunino, A., & Giardini, D. (2013). On measuring surface wave phase velocity from station-station cross-correlation of ambient signal. Geophysical Journal International, 192(1), 346–358. https://doi.org/10.1093/gji/ggs023

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free