GNGTS 2024 - Atti del 42° Convegno Nazionale

Session 3.3 GNGTS 2024 References Aleardi, M.; 2021: A gradient-based Markov chain Monte Carlo algorithm for elastc pre-stack inversion with data and model space reducton. Geophysical Prospectng , 69(3). Bert, S., Aleardi, M. and Stucchi, E.; 2023. A computatonally efcient Bayesian approach to full- waveform inversion. Geophysical Prospectng , 1-24. Bohlen, T.; 2002. Parallel 3D viscoelastc fnite diference seismic modelling. Computers and Geosciences , 28, 887-899. Garofalo, F., Fot, S., Hollender, F., Bard, P.Y., Cornou, C., Cox, B. et al.; 2016. InterPACIFIC project: comparison of invasive and non-invasive methods for seismic site characterizaton. Part I: Intra- comparison of surface wave methods. Soil Dynamics and Earthquake Engineering , 82, 222-240. Lamuraglia, S., Stucchi, E. and Aleardi, M.; 2022. Applicaton of a global-local full-waveform inversion of Rayleigh wave to estmate the near-surface shear wave velocity model. Near Surface Geophysics , 1-18. Corresponding author: Sean Bert, sean.bert@unif.it