Characterization of the Subsoil using Computational Techniques for Seismic Microzonation Studies

The role of superficial geology of the subsoil in studies of seismic microzonation is of great interest because it is a latent threat before an earthquake. With non-invasive techniques, the behavior of seismic waves can be inferred by studying the ways they propagate. The Nakamura technique (H/V) is the most used in order to identify the natural frequency of the site in the seismic microzonation studies. This technique allows to know the surface geology through experimental in-site data and implementing computational techniques. In this paper, records of environmental seismic noise were used for the extraction of characteristics of each of the signal components. The H/V curves allowed to identify the peaks in the frequency range from 0,1 to 10 Hz. A clustering technique has been used on the feature vector to identify different subsets related to similar seismic behavior for the characterization of the subsoil.