Surface wave analysis: improving the accuracy of the shear-wave velocity profile through the efficient joint acquisition and Full Velocity Spectrum (FVS) analysis of Rayleigh and Love waves

0509607 - ÚSMH 2020 RIV GB eng J - Journal Article
Dal Moro, Giancarlo
Surface wave analysis: improving the accuracy of the shear-wave velocity profile through the efficient joint acquisition and Full Velocity Spectrum (FVS) analysis of Rayleigh and Love waves.
Exploration Geophysics. Roč. 50, č. 4 (2019), s. 408-419. ISSN 0812-3985. E-ISSN 1834-7533
Institutional support: RVO:67985891
Keywords : Surface waves * Rayleigh waves * Love waves * full velocity spectrum (FVS) analysis * joint analysis * multi-component analysis
OECD category: Volcanology
Impact factor: 0.758, year: 2019
Method of publishing: Limited access
https://www.tandfonline.com/doi/full/10.1080/08123985.2019.1606202

Surface wave propagation can be exploited to investigate subsurface conditions in terms of shear wave velocities in a number of possible applications (geotechnical site characterisation, seismic-risk assessment, crustal studies and non-destructive testing). Nowadays, one of the most common methods adopted to analyse the dispersion of surface waves is based on the determination of the Rayleigh wave frequency-dependent phase velocities obtained from multichannel active data. The obtained values represent the dispersion curve, which is inverted to determine the vertical shear-wave velocity (V-S) profile. After briefly recalling some fundamental facts and problems regarding surface wave propagation and analysis, we present the Full Velocity Spectrum (FVS) approach which here is used to jointly invert the velocity spectra of the Rayleigh and Love waves acquired by means of a set of horizontal geophones only (Rayleigh waves are in fact analysed while considering their radial component). It is shown that for non-trivial data sets for which modal dispersion curves cannot be soundly extracted, the joint FVS approach may represent an efficient way to properly analyse the data, thus eventually obtaining a robust V-S profile free from significant ambiguities that would otherwise inevitably affect the results obtained by following the ordinary approach based on the modal dispersion curve(s) of just one component.
Permanent Link: http://hdl.handle.net/11104/0300299