A stochastic real time predictor of rainfall-induced landslides has been developed. It couples
the empirical slope stability model FLaIR with a point rainfall stochastic model. FLaIR model …

Landslides triggered by rainfall could be forecast by modelling the relationship existing
between landslide occurrences and antecedent precipitation events. The FLaIR hydrological …

The FLaIR model has been developed for the simulation and the forecasting of landslide
movements activated by rainfall. It is composed of two modules. The first, rainfall-landslide …

Landslides triggered by rainfall can be foreseen by modeling the relationship between the
time occurrence of landslides and rainfall. This paper deals with the argument by adopting a …

Various methods have been proposed to define the rainfall thresholds for the landslide
prediction. Once the threshold is determined, it remains the same regardless of the …

In the framework of landslide risk management, it appears relevant to assess, both in space
and in time, the triggering of rainfall-induced shallow landslides, in order to prevent …

In landslide-prone areas the magnitude of events is related to recurring rainfall intensity. In a
large sector of the Sannio Apennines (Southern Italy), predictive mapping of recurrent …

The definition of hydrological alert systems for rainfall-induced landslides is strongly related
to a deep knowledge of the geological and geomorphological features of the territory …

Rainfall causes changes in surface and groundwater dynamics that reduce the slope
stability conditions and cause landslides. Such phenomena pose serious threats to …

This work focuses on the development of a combined statistical-mechanical approach to
predict changes in landslide displacement rates from observed changes in rainfall amounts …