Spatial pattern of hydrological predictability of landslide-prone areas

In this paper, the authors argue that integration of the hydrological model for landslide-prone areas should proceed under a soft geovisual communication in order to mitigate the uncertainty involved in downscaling rainstorm hazard mapping and geocomputational tracking. In this respect, examples of geovisualized spatial patterns for Terminio-Tuoro area affected by damaging landslide events is given by the rainstorm hazard index (RHI)–kriged probability map. These findings should contribute to improving the information base needed to implement and monitor a sound strategy for warning, forecasting and planning landslide hazard. . © Springer International Publishing Switzerland 2015.