A reliable forecast of the failure stage of large rockslides is difficult, because of non-linear time dependency of displacements and seasonal effects. Aim of this paper is to suggest a practical method to prepare alert thresholds for large rockslides, assessing critical values of velocity for carrying out civil protection actions using monitoring data. Adopted data concern the 20 Mm3 Ruinon rockslide (Valfurva, Central Alps, Italy), still evolving and suitable to originate a fast moving rock avalanche. Multitemporal analysis of aerial photos, LIDAR-ALTM laser topography, field survey and geomechanical analyses allowed to infer the rockslide kinematics and better understand data provided by a monitoring network including distometers, extens...
Detecting large, slow-moving landslides can be a complex task, as it necessitates identifying geomor...
Predicting the time of failure is a topic of major concern in the field of geological risk managemen...
This work presents an innovative approach to predict changes in landslide displacement rates for ear...
We apply failure forecast models by exploiting near-real-time monitoring data for the La Saxe rocksl...
The forecast of a landslide's time of failure and the definition of alert thresholds are fundamental...
The Trafoi rockslide is very similar to the Val Pola landslide before it evolved in a catastrophic r...
The Trafoi rockslide is very similar to the Val Pola landslide before it evolved in a catastrophic r...
Foreseeing the failure of important unstable volumes is a major concern in the Alps, especially due ...
The Trafoi rockslide is very similar to the Val Pola landslide before it evolved in a catastrophic r...
The Trafoi rockslide is very similar to the Val Pola landslide before it evolved in a catastrophic r...
The Trafoi rockslide is very similar to the Val Pola landslide before it evolved in a catastrophic r...
The forecast of a landslide time-of-failure and alert thresholds assessment are fundamental aspects ...
AbstractIn this paper all the phases for the realization of the early warning system for the rocksli...
Predicting the time of failure is a topic of major concern in the field of geological risk managemen...
The Tessina landslide is a large, seasonally active slope failure located on the southern slopes of ...
Detecting large, slow-moving landslides can be a complex task, as it necessitates identifying geomor...
Predicting the time of failure is a topic of major concern in the field of geological risk managemen...
This work presents an innovative approach to predict changes in landslide displacement rates for ear...
We apply failure forecast models by exploiting near-real-time monitoring data for the La Saxe rocksl...
The forecast of a landslide's time of failure and the definition of alert thresholds are fundamental...
The Trafoi rockslide is very similar to the Val Pola landslide before it evolved in a catastrophic r...
The Trafoi rockslide is very similar to the Val Pola landslide before it evolved in a catastrophic r...
Foreseeing the failure of important unstable volumes is a major concern in the Alps, especially due ...
The Trafoi rockslide is very similar to the Val Pola landslide before it evolved in a catastrophic r...
The Trafoi rockslide is very similar to the Val Pola landslide before it evolved in a catastrophic r...
The Trafoi rockslide is very similar to the Val Pola landslide before it evolved in a catastrophic r...
The forecast of a landslide time-of-failure and alert thresholds assessment are fundamental aspects ...
AbstractIn this paper all the phases for the realization of the early warning system for the rocksli...
Predicting the time of failure is a topic of major concern in the field of geological risk managemen...
The Tessina landslide is a large, seasonally active slope failure located on the southern slopes of ...
Detecting large, slow-moving landslides can be a complex task, as it necessitates identifying geomor...
Predicting the time of failure is a topic of major concern in the field of geological risk managemen...
This work presents an innovative approach to predict changes in landslide displacement rates for ear...