ambient seismic noise characterization is an advanced look at the subsurface and its importance for many disciplines such as oil exploration, geology, earthquake engineering, hydrology and structural health monitoring made it the focus of many studies over the last few years, a part that was discarded from the seismic records became an essential branch of seismic data processing, in this thesis, we take a look at how ambient noise can provide intricate information about the distribution of the noise in the urban city of Lausanne, Switzerland, using Power-spectral-density (PSD), root-mean-square (RMS) velocity and Beamforming analysis to obtain spatial and temporal noise distribution in the area.
ambient seismic noise characterization is an advanced look at the subsurface and its importance for many disciplines such as oil exploration, geology, earthquake engineering, hydrology and structural health monitoring made it the focus of many studies over the last few years, a part that was discarded from the seismic records became an essential branch of seismic data processing, in this thesis, we take a look at how ambient noise can provide intricate information about the distribution of the noise in the urban city of Lausanne, Switzerland, using Power-spectral-density (PSD), root-mean-square (RMS) velocity and Beamforming analysis to obtain spatial and temporal noise distribution in the area.
Characterization of the temporal and spatial distribution of ambient seismic noise in an urban site
ELGASHTI, MOHAMED AMER ALI
2022/2023
Abstract
ambient seismic noise characterization is an advanced look at the subsurface and its importance for many disciplines such as oil exploration, geology, earthquake engineering, hydrology and structural health monitoring made it the focus of many studies over the last few years, a part that was discarded from the seismic records became an essential branch of seismic data processing, in this thesis, we take a look at how ambient noise can provide intricate information about the distribution of the noise in the urban city of Lausanne, Switzerland, using Power-spectral-density (PSD), root-mean-square (RMS) velocity and Beamforming analysis to obtain spatial and temporal noise distribution in the area.File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/48357