We implemented a joint inversion method to build P- and S-wave velocity models from Rayleigh-wave and P-wave refraction data, specifically designed to deal with laterally varying layered environments. A priori information available over the site and any physical law to link model parameters can be also incorporated. We tested and applied the algorithm behind the method. The results from a field data set revealed advantages with respect to individual surface-wave analysis (SWA) and body wave tomography (BWT). The algorithm imposed internal consistency for all the model parameters relaxing the required a priori assumptions (i.e., Poisson’s ratio level of confidence in SWA) and the inherent limitations of the two methods (i.e., velocity decreases for BWT).
Joint inversion of Rayleigh-wave dispersion and P-wave refraction data for laterally varying layered models / Boiero, Daniele; Socco, Laura. - In: GEOPHYSICS. - ISSN 0016-8033. - STAMPA. - 79:4(2014), pp. 49-59. [10.1190/GEO2013-0212.1]
Joint inversion of Rayleigh-wave dispersion and P-wave refraction data for laterally varying layered models
BOIERO, DANIELE;SOCCO, LAURA
2014
Abstract
We implemented a joint inversion method to build P- and S-wave velocity models from Rayleigh-wave and P-wave refraction data, specifically designed to deal with laterally varying layered environments. A priori information available over the site and any physical law to link model parameters can be also incorporated. We tested and applied the algorithm behind the method. The results from a field data set revealed advantages with respect to individual surface-wave analysis (SWA) and body wave tomography (BWT). The algorithm imposed internal consistency for all the model parameters relaxing the required a priori assumptions (i.e., Poisson’s ratio level of confidence in SWA) and the inherent limitations of the two methods (i.e., velocity decreases for BWT).Pubblicazioni consigliate
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https://hdl.handle.net/11583/2585573
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