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 shallow landslides was obtained by combining deterministic and probabilistic predictive approaches. The deterministic approach was performed using TRIGRS model and, subsequently, different predictive scenarios were proposed for different probabilistic return periods of the rainstorm events. Two new introduced indexes indicates the good performance of the model. . © Springer International Publishing Switzerland 2015.
Prediction analysis of rainfall induced landslide in a Samnite Prone Area / Gerardo, G.; Paola, R.; Guerriero, L.; Marcella, S.; Nazzareno, D.; Maria, G. F.. - (2015), pp. 1593-1597. [10.1007/978-3-319-09057-3_283]
Prediction analysis of rainfall induced landslide in a Samnite Prone Area
Guerriero, L.;
2015
Abstract
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 shallow landslides was obtained by combining deterministic and probabilistic predictive approaches. The deterministic approach was performed using TRIGRS model and, subsequently, different predictive scenarios were proposed for different probabilistic return periods of the rainstorm events. Two new introduced indexes indicates the good performance of the model. . © Springer International Publishing Switzerland 2015.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
