1. Separating Rayleigh and Love waves based on the SPAC method
- Author
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Nakahara, H. and Haney, M.
- Abstract
The spatial autocorrelation (SPAC) method was developed by Aki (1957) to estimate subsurface velocity structure from the coherence of ambient seismic noise. The SPAC method has been widely used and extended to various cases. Separation of Rayleigh and Love waves is essential to obtain reliable phase velocity dispersion curves. Three-component displacement data is necessary (e.g., Okada and Matsushima, 1989; Chouet et al., 1998). Cross-correlation between the vertical-radial components helps isolate Rayleigh waves (Haney et al., 2012). Recently, the formulation of the SPAC method was extended to strain, rotation, and tilts by Nakahara et al. (2021) and to the mixed correlations between displacement and strain by Nakahara and Haney (2022). Here, we revisit the separation of Rayleigh and Love waves based on these recent developments of the SPAC theory. Isolation of Rayleigh waves is possible using the following components: vertical displacement, areal strain, and tilts. On the other hand, isolation of Love waves is possible using only the vertical-component rotation. Both Rayleigh and Love waves contribute to most auto- and cross-correlation pairs. Therefore, a reasonable method is to isolate Rayleigh waves first and then estimate the contribution of Love waves. Recently, measurements of strain and rotation are becoming possible thanks to the developments of distributed acoustic sensing (DAS) and rotational seismometers. These technical developments, along with the extended SPAC theory, will clearly distinguish Rayleigh and Love waves from ambient noise, which makes it possible to measure radial anisotropy by virtue of the difference between SV and SH velocities. , The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)
- Published
- 2023
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