In the frame of CARG Project for the realization of Brescia 121 Geological sheet, we collected and analysed the data available from surface geophysical investigations with the aim of creating a database of the physical parameters characterizing the lithotypes outcropping to the depth of the ‘seismic’ bedrock in the area. The study area is located in Northern Italy and corresponds to the northern sector of the Po Plain within the Lombardian Basin of the Southern Alps. The geophysical data mainly derived from the Microzonation Studies (MS) available (Geoportale di Regione Lombardia), integrated with the water wells (Regione Lombardia and ISPRA database) allowed the association between geological units and engineering-geological units (UGT) and the attribution of the relative Vs and Vp values to the Quaternary deposits. The data were analysed up to the maximum depth detected in the surveys.

Reconstruction of Subsoil in the Po Plain for a large-scale evaluation of seismic amplification effects

G. Caielli;D. Rusconi;R. de Franco;I. Gaudiosi;G. Norini
2025

Abstract

In the frame of CARG Project for the realization of Brescia 121 Geological sheet, we collected and analysed the data available from surface geophysical investigations with the aim of creating a database of the physical parameters characterizing the lithotypes outcropping to the depth of the ‘seismic’ bedrock in the area. The study area is located in Northern Italy and corresponds to the northern sector of the Po Plain within the Lombardian Basin of the Southern Alps. The geophysical data mainly derived from the Microzonation Studies (MS) available (Geoportale di Regione Lombardia), integrated with the water wells (Regione Lombardia and ISPRA database) allowed the association between geological units and engineering-geological units (UGT) and the attribution of the relative Vs and Vp values to the Quaternary deposits. The data were analysed up to the maximum depth detected in the surveys.
2025
Istituto di Geologia Ambientale e Geoingegneria - IGAG - Sede Secondaria Milano
Istituto di Geologia Ambientale e Geoingegneria - IGAG
Brescia, Po Plain, stochastic numerical modelling
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/582680
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