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In this paper we introduce a landslide prediction system for modelling the probabilities of landslides\udthrough time in Slovenia (Masprem). The system to forecast rainfall induced landslides is based on the landslide\udsusceptibility map, landslide triggering rainfall threshold values and the precipitation forecasting model.\udThrough the integrated parameters a detailed framework of the system, from conceptual to operational phases,\udis shown. Using fuzzy logic the landslide prediction is calculated. Potential landslide areas are forecasted on a\udnational scale (1: 250,000) and on a local scale (1: 25,000) for fie selected municipalities where the exposure of\udinhabitants, buildings and different type of infrastructure is displayed, twice daily. Due to different rainfall\udpatterns that govern landslide occurrences, the system for landslide prediction considers two different rainfall\udscenarios (M1 and M2). The landslides predicted by the two models are compared with a landslide inventory\udto validate the outputs. In this study we highlight the rainfall event that lasted from the 9th to the 14th of\udSeptember 2014 when abundant precipitation triggered over 800 slope failures around Slovenia and caused large\udmaterial damage. Results show that antecedent rainfall plays an important role, according to the comparisons\udof the model (M1) where antecedent rainfall is not considered. Although in general the landslides areas are\udover-predicted and largely do not correspond to the landslide inventory, the overall performance indicates that\udthe system is able to capture the crucial factors in determining the landslide location. Additional calibration of\udinput parameters and the landslide inventory as well as improved spatially distributed rainfall forecast data can\udfurther enhance the model's prediction

Landslide prediction system for rainfall induced landslides in Slovenia (Masprem)