On measuring surface-wave phase velocity from station-station
نویسندگان
چکیده
7 We apply two different algorithms to measure surface-wave phase velocity, as a function of 8 frequency, from seismic ambient noise recorded at pairs of stations from a large European 9 network. The two methods are based on consistent theoretical formulations, but differ in the 10 implementation: one method involves the time-domain cross-correlation of signal recorded 11 at different stations; the other is based on frequency-domain cross-correlation, and requires 12 finding the zero-crossings of the real part of the cross-correlation spectrum. Furthermore, 13 the time-domain method, as implemented here and in the literature, practically involves 14 the important approximation that interstation distance be large compared to seismic wave15 length. In both cases, cross-correlations are ensemble-averaged over a relatively long period 16 of time (one year). We verify that the two algorithms give consistent results, and infer that 17 phase velocity can be successfully measured through ensemble-averaging of seismic ambient 18 noise, further validating earlier studies that had followed either approach. The description of 19 our experiment and its results is accompanied by a detailed though simplifed derivation of 20 ambient-noise theory, writing out explicitly the relationships between the surface-wave Green 21 function, ambient-noise cross-correlation, and phase and group velocities. 22
منابع مشابه
Surface wave phase velocities of the Western United States from a two-station method
S U M M A R Y We calculate two-station phase measurements using single-station measurements made on USArray Transportable Array data for surface waves at periods from 25 to 100 s. The phase measurements are inverted for baseline Love and Rayleigh wave phase velocity maps on a 0.5◦ × 0.5◦ grid. We make estimates of the arrival angle for each event at each station using a mini array method simila...
متن کاملOn measuring surface wave phase velocity from station-station cross-correlation of ambient signal
7 We apply two different algorithms to measure surface-wave phase velocity, as a function of 8 frequency, from seismic ambient noise recorded at pairs of stations from a large European 9 network. The two methods are based on consistent theoretical formulations, but differ in the 10 implementation: one method involves the time-domain cross-correlation of signal recorded 11 at different stations;...
متن کاملSurface wave array tomography in SE Tibet from ambient seismic noise and two-station analysis – II. Crustal and upper-mantle structure
S U M M A R Y We determine the 3-D shear wave speed variations in the crust and upper mantle in the southeastern borderland of the Tibetan Plateau, SW China, with data from 25 temporary broad-band stations and one permanent station. Interstation Rayleigh wave (phase velocity) dispersion curves were obtained at periods from 10 to 50 s from empirical Green’s function (EGF) derived from (ambient n...
متن کاملHelmholtz surface wave tomography for isotropic and azimuthally anisotropic structure
S U M M A R Y The growth of the Earthscope/USArray Transportable Array (TA) has prompted the development of new methods in surface wave tomography that track phase fronts across the array and map the traveltime field for each earthquake or for each station from ambient noise. Directionally dependent phase velocities are determined locally by measuring the gradient of the observed traveltime fie...
متن کاملSurface Wave Propagation Effects Observed at the Saudi Seismic Network
Global surface wave arrival angles (also called polarization data) are extremely useful data to constrain the shortwavelength structure in global surface wave phase velocity maps. This paper investigates the feasibility of using such data on a more regional scale to validate regional models. We measure the arrival angles at the Saudi Arabian Seismic Network and compare them with predictions cal...
متن کامل