Surface wave methods gained in the past decades a primary role in many seismic projects. Specifically, they are often used to retrieve a 1D shear wave velocity model or to estimate the V S,30 at a site. The complexity of the interpretation process and the variety of possible approaches to surface wave analysis make it very hard to set a fixed standard to assure quality and reliability of the results. The present guidelines provide practical Electronic supplementary material The online version of this article
Combining S‐wave data, resulting from surface‐wave dispersion analysis with P‐wave tomographic data, is a valuable tool to improve the understanding of near‐surface soil properties and allows the estimation of soil mechanical parameters and the determination of the depth of the water table. To achieve this combination of methods in a complex fault zone setting, active‐source seismic data were acquired at Inchbonnie, New Zealand across the Alpine Fault. This is a major transpressional strike‐slip fault that has generated magnitude > 7.8 earthquakes in the past. In this study, we focus on the surface‐wave component of these data, to determine elastic parameters for the shallow (~60 m) subsurface as well as the depth of the water table. We achieve this by combining S‐wave velocity models from surface‐wave dispersion curve inversion and P‐wave velocity models obtained from traveltime tomographic inversion in a previous study. The surface‐wave dispersion curve inversion is done by means of a laterally constrained inversion algorithm.
As a result, we are able to obtain elastic parameters and map the water table and the geology around the Alpine Fault at Inchbonnie, New Zealand. The Alpine Fault itself appears as a relatively sharp lateral discontinuity in all investigated parameters.
Methods based on the seismic P-wave, seismic surface wave, and apparent resistivity are commonly used in the solution of several near-surface problems. However, the solution nonuniqueness and the intrinsic limitations of these methods can cause inconsistency in the final results. Dispersion curves of surface waves, P-wave traveltimes, and apparent-resistivity data were jointly inverted to obtain internally consistent and more reliable final model of P-and S-wave velocities and resistivity. A collection of 1D layered models was obtained by a deterministic jointinversion algorithm based on the laterally constrained inversion scheme. The three data sets were jointly inverted imposing the same structure and Poisson's ratio was introduced as a physical link between P-and S-wave velocities to better constrain the inversion. No physical link was imposed between the resistivity and the seismic velocities. The inversion algorithm was tested on synthetic data and then applied to a field case, where benchmark borehole data were available. The synthetic and field examples provided results in agreement with the true model and the existing geologic information, respectively.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.