The objective of my thesis is to develop a deep shear wave model of the Venice Lagoon using seismic noise interferometry. This method involves time cross-correlation of seismic noise recorded between two stations: one on the island of San Servolo and the other in Venice Lido. The process begins with daily time cross-correlations in the frequency domain applying a bandpass filter and a spectral whitening. Cross-correlation is performed on different combinations of seismic components using a sliding time window. The result of the cross-correlations between the two stations can approximate the Green's function of the medium, describing how seismic waves propagate between these points. The resulting cross-correlations are then stacked to produce daily traces for each component. Subsequently, Frequency-Time Analysis (FTAN) is used to derive the dispersion curves, which indicate the concentration of signal energy along specific frequencies. These dispersion curves are then inverted to obtain the final deep shear wave structural model of the Venice Lagoon. This model provides valuable insights into the subsurface properties and geological structure of the area, contributing to a broader understanding of seismic behavior in the lagoon environment.
The objective of my thesis is to develop a deep shear wave model of the Venice Lagoon using seismic noise interferometry. This method involves time cross-correlation of seismic noise recorded between two stations: one on the island of San Servolo and the other in Venice Lido. The process begins with daily time cross-correlations in the frequency domain applying a bandpass filter and a spectral whitening. Cross-correlation is performed on different combinations of seismic components using a sliding time window. The result of the cross-correlations between the two stations can approximate the Green's function of the medium, describing how seismic waves propagate between these points. The resulting cross-correlations are then stacked to produce daily traces for each component. Subsequently, Frequency-Time Analysis (FTAN) is used to derive the dispersion curves, which indicate the concentration of signal energy along specific frequencies. These dispersion curves are then inverted to obtain the final deep shear wave structural model of the Venice Lagoon. This model provides valuable insights into the subsurface properties and geological structure of the area, contributing to a broader understanding of seismic behavior in the lagoon environment.
Deep Shear Waves Model of the Venice Lagoon from Seismic Noise Interferometry
DE MARCHI, SILVIA
2023/2024
Abstract
The objective of my thesis is to develop a deep shear wave model of the Venice Lagoon using seismic noise interferometry. This method involves time cross-correlation of seismic noise recorded between two stations: one on the island of San Servolo and the other in Venice Lido. The process begins with daily time cross-correlations in the frequency domain applying a bandpass filter and a spectral whitening. Cross-correlation is performed on different combinations of seismic components using a sliding time window. The result of the cross-correlations between the two stations can approximate the Green's function of the medium, describing how seismic waves propagate between these points. The resulting cross-correlations are then stacked to produce daily traces for each component. Subsequently, Frequency-Time Analysis (FTAN) is used to derive the dispersion curves, which indicate the concentration of signal energy along specific frequencies. These dispersion curves are then inverted to obtain the final deep shear wave structural model of the Venice Lagoon. This model provides valuable insights into the subsurface properties and geological structure of the area, contributing to a broader understanding of seismic behavior in the lagoon environment.File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/72502