This study presents an automated method for the construction and spatialization of stratigraphic columns, facilitating the creation of maps of Stratigraphically Homogeneous Zones (SHZ). This approach integrates GIS tools with custom Python scripts, streamlining the manual process traditionally used in Seismic Microzonation (SM) studies according to Italian standards. Our method allows for rapid, scalable processing and provides a detailed geological model of near-surface stratigraphy, essential for land management and seismic risk assessment. We employed our scripts to automatically produce the map of SHZ in the test area of Cariati (Northern Calabria), demonstrating their effectiveness by accurately replicating and extending the manually-derived stratigraphic columns. Additionally, this procedure enhances accessibility to geological data by enabling subsurface insights through spatialized 1D stratigraphic information, while preserving the simplicity of 2D visualization. This advancement holds promise for bro
Tools for packaging static webpages for the development of Multiscale Geo-structural Information Systems (MGS) using Python and open-source software
Ortolano, GaetanoPrimo
Conceptualization
;Di Pietro, Gianfranco
Methodology
;D'Agostino, AlbertoSoftware
;Visalli, RobertoFormal Analysis
;Fazio, EugenioData Curation
;Musumeci, Rosaria EsterSupervision
;Cirrincione, RosolinoFunding Acquisition
2026-01-01
Abstract
This study presents an automated method for the construction and spatialization of stratigraphic columns, facilitating the creation of maps of Stratigraphically Homogeneous Zones (SHZ). This approach integrates GIS tools with custom Python scripts, streamlining the manual process traditionally used in Seismic Microzonation (SM) studies according to Italian standards. Our method allows for rapid, scalable processing and provides a detailed geological model of near-surface stratigraphy, essential for land management and seismic risk assessment. We employed our scripts to automatically produce the map of SHZ in the test area of Cariati (Northern Calabria), demonstrating their effectiveness by accurately replicating and extending the manually-derived stratigraphic columns. Additionally, this procedure enhances accessibility to geological data by enabling subsurface insights through spatialized 1D stratigraphic information, while preserving the simplicity of 2D visualization. This advancement holds promise for broI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


