Generating 1D depth profile of shear-wave velocity from ambient noise cross-correlation: application to Jakarta array

Abstract In the past decade, cross-correlations of ambient seismic noise have been exploited in various applications to model shallow-to-deep structure Earth’s interior through tomographic inversions. The stack between a 2-station pair represents empirical Green’s function and comprises information subsurface those stations. practice, correlation (NCF) is analyzed reconstruct surface wave group or phase velocity dispersion; then, dispersion data used shear-wave (Vs). This study presents case for temporary networks deployed Jakarta Basin; we applied two-step routine obtain representative 1D Vs profile beneath an array. First, extracted our array’s average based on relationship NCF’s spectra Bessel function. Then, invert depth using transdimensional Bayesian inversion allow exploring number layers parameterizations. We successfully generate up 5 km reflecting regional stratigraphy Basin. general, sedimentary basin fill covers area reaching 650 m. suggest that this simple can be undertaken other cross-correlation cases; such would beneficial as reference model.