SURFACE WAVE TOMOGRAPHY USING AMBIENT NOISE CROSS-CORRELATION FOR THE AZERBAIJAN TERRITORY

Abstract

This paper presents the current status of ambient noise data processing as it has developed over the past several years and is intended to explain and justify this development through salient examples. The Ambient Noise Tomography (ANT) method provides a powerful tool for sampling the Earth’s shear-wave-velocity structure (e.g., Campillo and Paul 2003; Shapiro et al. 2005). Noise correlations between pairs of stations at hundredths of kilometer distances, stacked over time, provide Green’s
functions of largely surface wave propagation between the stations. These signals are most robust at 5-20 s periods where fundamental-mode Rayleigh waves sample the crust and uppermost mantle, allowing 3D imaging at these depths (e.g., Harmon et al. 2008; Bensen et al. 2009).