In December 2019 a large collapse affected the Torrione Sucai, a rocky structure located on the North-Eastern slope of Mt. Viso (Italy) at about 3100 m a.s.l. Mt Viso has been included in the UNESCO World Heritage Sites since 2013 as a biosphere reserve. Therefore, hazard and risk assessment is a priority for the protection of people and the environment. The rockfall was triggered by a combination of high fracturing of the rock mass and permafrost degradation, with associated phenomena that weakened the rock mass and created conditions for slope instability. This study entails a multi-scale analysis of fracture distribution and intersections, in order to identify the zones most prone to collapse. Moreover, a multi-scale back analysis of the run-out behavior of the 2019 rockfall was performed. The results were used to calibrate preliminary susceptibility analyses for the entire area, presented and discussed in the paper.
The collapse of Torrione Sucai (Mt. Viso, Italy): rockfall analysis and data calibration / Torsello, Giulia; Castelli, Marta; Morelli, Michele. - ELETTRONICO. - (2023), pp. 1162-1167. (Intervento presentato al convegno ISRM 15th International Congress on Rock Mechanics and Rock Engineering & 72nd Geomechanics Colloquium tenutosi a Salzburg (Austria) nel October 9-14, 2023).
The collapse of Torrione Sucai (Mt. Viso, Italy): rockfall analysis and data calibration
Giulia Torsello;Marta Castelli;
2023
Abstract
In December 2019 a large collapse affected the Torrione Sucai, a rocky structure located on the North-Eastern slope of Mt. Viso (Italy) at about 3100 m a.s.l. Mt Viso has been included in the UNESCO World Heritage Sites since 2013 as a biosphere reserve. Therefore, hazard and risk assessment is a priority for the protection of people and the environment. The rockfall was triggered by a combination of high fracturing of the rock mass and permafrost degradation, with associated phenomena that weakened the rock mass and created conditions for slope instability. This study entails a multi-scale analysis of fracture distribution and intersections, in order to identify the zones most prone to collapse. Moreover, a multi-scale back analysis of the run-out behavior of the 2019 rockfall was performed. The results were used to calibrate preliminary susceptibility analyses for the entire area, presented and discussed in the paper.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2983366