Two key aspects of any experimental technique are the ability to a) estimate the uncertainty of the measured data and b) determine how this uncertainty is mapped onto the model parameters. In surface wave testing two situations are frequently encountered in practice: either one has to compute dispersion and attenuation curves from measured shear wave velocities and shear damping ratios at a site (forward problem), or one needs to determine which set of model parameters V_S and D_S correspond to measured Rayleigh dispersion and attenuation curves (inverse problem). This article illustrates the results of a parametric study aimed to investigate how in surface wave modeling the uncertainty is projected from the measured data onto the model parameters in the solution of both forward and inverse problems.
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