TY - JOUR A1 - Di Giulio, Giuseppe A1 - Savvaidis, Alexandros A1 - Ohrnberger, Matthias A1 - Wathelet, Marc A1 - Cornou, Cecile A1 - Knapmeyer-Endrun, Brigitte A1 - Renalier, Florence A1 - Theodoulidis, Nikos A1 - Bard, Pierre-Yves T1 - Exploring the model space and ranking a best class of models in surface-wave dispersion inversion application at European strong-motion sites JF - Geophysics N2 - The inversion of surface-wave dispersion curve to derive shear-wave velocity profile is a very delicate process dealing with a nonunique problem, which is strongly dependent on the model space parameterization. When independent and reliable information is not available, the selection of most representative models within the ensemble produced. by the inversion is often difficult. We implemented a strategy in the inversion of dispersion curves able to investigate the influence of the parameterization of the model space and to select a "best" class of models. We analyzed surface-wave dispersion curves measured at 14 European strong..-motion sites within the NERIES EC-Project. We focused on the inversion task exploring the model space by means of four distinct pararneterization classes composed of layers progressively added over a half-space. The classes differ in the definition of the shear-wave velocity profile; we considered models with uniform velocity as well as models with increasing velocity with depth. At each site and for each model parameterization, we performed an extensive surface-wave inversion (200,100 models for five seeds) using the conditional neighborhood algorithm. We addressed the model evaluation following the corrected Akaike's information criterion (AlCc) that combines the concept of misfit to the number of degrees of freedom of the system. The misfit was computed as least-squares estimation between theoretical and observed dispersion curve. The model complexity was accounted in a penalty term by AlCc. By applying such inversion strategy on 14 strong-motion sites, we found that the best parameterization of the model space is mostly three to four layers over a half-space: where the shear-wave velocity of the uppermost layers can follow uniform or power-law dependence with depth. The shear-wave velocity profiles derived by inversion agree with shear-wave velocity profiles provided by borehole surveys at approximately 80% of the sites. Y1 - 2012 U6 - https://doi.org/10.1190/GEO2011-0116.1 SN - 0016-8033 VL - 77 IS - 3 SP - B147 EP - B166 PB - Society of Exploration Geophysicists CY - Tulsa ER -