Abstract

Over the past decade, Chile has been affected by concentrated rainfall with high-intensity events, due to the effects of climate change. In this context, landslide susceptibility maps can be used for several purposed such as landslide hazard maps, urban planning and hazard mitigation strategies. In this research a landslide susceptibility map for the central Chilean Andes was developed using a GIS function named Fuzzy Logic model based on local parameters and as potential predictors were used geological classes, slope, faults, road network, and drainage network. The largest area with de high and very high susceptibility index represents 20.14% of the total surface and corresponds mainly to the different types of landslide deposits and steep slopes.