1. Weather Simulation of Extreme Precipitation Events Inducing Slope Instability Processes over Mountain Landscapes.
- Author
-
Golzio, Alessio, Bollati, Irene Maria, Luciani, Marco, Pelfini, Manuela, and Ferrarese, Silvia
- Subjects
WEATHER ,WEATHER forecasting ,METEOROLOGICAL research ,METEOROLOGICAL stations ,GEOLOGY ,WENCHUAN Earthquake, China, 2008 - Abstract
Featured Application: High-resolution weather analysis and forecasts for warnings and civil protection against landslides and hydrological instability. Mountain landscapes are characterised by a very variable environment under different points of view (topography, geology, meteorological conditions), and they are frequently affected by mass wasting processes. A debris flow that occurred along the Croso stream, located in the Italian Lepontine Alps in the Northern Ossola Valley, during summer 2019, was analysed from a geological/geomorphological and meteorological point of view. The debris flow was triggered by an intense precipitation event that heavily impacted a very restricted area over the course of three hours. A previous debris flow along the same stream occurred in Autumn 2000, but it was related to an intense and prolonged rainfall event. The slope was characterised in terms of sediment connectivity, and data were retrieved and elaborated from the Web-GIS (Web-Geographic Information System) database of the IFFI-Italian Landslide Inventory and historical archives of landslides. Both the events were analysed through the weather research and forecasting (WRF) model applying a very high horizontal grid spacing with the aim of catching the precipitation patterns and timings. The obtained results are compared with the observed precipitation at a selection of weather stations in the area. The simulation of WRF that measured the timing in total precipitation and in its minor steps could be considered reliable. Moreover, it reveals to be appropriate for detecting in advance the meteorological conditions potentially triggering mass-wasting processes affecting slopes featuring high connectivity conditions and lithotypes characterised by a high Landslide Susceptibility Index. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF