Examples of Application of GASAKe for Predicting the Occurrence of Rainfall-Induced Landslides in Southern Italy

摘要: GASAKe is an empirical-hydrological model aimed at forecasting the time of occurrence landslides. Activations can be predicted either single landslides or sets slope movements same type in a homogeneous environment. The requires rainfall series and set dates landslide activation as input data. Calibration performed through genetic algorithms, allows for determining family optimal kernels to weight antecedent properly. As output, mobility function highlights critical conditions stability. Based on suitable calibration validation samples dates, represents useful tool integrated early-warning systems geo-hydrological risk mitigation purposes. In present paper, examples application three rock slides Calabria cases soil slips Campania are discussed. discussed, based independent datasets. Obtained results excellent two Calabrian just promising remaining case studies. best performances take advantage accurate knowledge history landslides, proper hydrological characterization sites. For such cases, could usefully employed within Civil Protection Finally, new release presently under test: its innovative features briefly presented.