Joint Inversion of Surface-wave Dispersion and P-wave Refraction Data for Laterally Varying Layered Models

We present here a joint inversion method to build P- and S-wave velocity models from surface-wave and P-wave refraction data, specifically designed to deal with laterally varying layered environments which can present strong velocity contrasts with depth. In this case, a smooth minimum-structure inversion produces smooth models even for geological models, which are overall layered. The proposed algorithm is also able to incorporate a-priori information available over the site and any physical law to link model parameters. This method presents advantages with respect to individual surface wave analysis and refraction tomography since it imposes internal consistency for all the model parameters, reducing the required a-priori assumptions and the ill-ness of the two methods. We describe the algorithm and we show its application to synthetic and field datasets.