The present paper proposes an automatic procedure implemented in GRASS for the analysis and prediction of large-scale landslides due to rainfall events. It runs, for each unit cell, an hydrological balance based on the Curve Number method (CN), computing the groundwater’s evolutions due to precipitation and then checks the overcoming, or not, of limit equilibrium conditions of the soil mass in the domain of interest. Given that the procedure can be applied to any site, in this paper the results obtained on an extensive kinematic phenomenon, surrounding the city of Santo Stefano d'Aveto (Liguria), are shown. This site was selected because it was already subjected to previous analyses and well characterized, from the hydrological-geotechnical point of view. The carried out analyses have allowed to create maps of landslide susceptibility, automatically and very quickly, that are in excellent agreement with what is evident on site.

Procedura automatica in GRASS per l’analisi e previsione di fenomeni franosi su vasta scala dovuti ad eventi meteorici.

BOVOLENTA, ROSSELLA;FEDERICI, BIANCA;PASSALACQUA, ROBERTO;
2013-01-01

Abstract

The present paper proposes an automatic procedure implemented in GRASS for the analysis and prediction of large-scale landslides due to rainfall events. It runs, for each unit cell, an hydrological balance based on the Curve Number method (CN), computing the groundwater’s evolutions due to precipitation and then checks the overcoming, or not, of limit equilibrium conditions of the soil mass in the domain of interest. Given that the procedure can be applied to any site, in this paper the results obtained on an extensive kinematic phenomenon, surrounding the city of Santo Stefano d'Aveto (Liguria), are shown. This site was selected because it was already subjected to previous analyses and well characterized, from the hydrological-geotechnical point of view. The carried out analyses have allowed to create maps of landslide susceptibility, automatically and very quickly, that are in excellent agreement with what is evident on site.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/585144
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