L'IRPI è da molti anni impegnato nel monitoraggio di variabili idrologiche (umidità del suolo, pioggia, portata e velocità dei corsi d'acqua) che è risultato fondamentale per la rappresentazione del processo di formazione del deflusso e quindi per lo studio delle piene e delle ...
SANF-RFI is a landslide early warning system along the RFI national railway Infrastructure. The system forecasts the possible occurrence of landslides by comparing rainfall measurements and forecasts with empirical rainfall thresholds for the possible occurrence of landslides. Specifically, the system consists of three components: (i) for rainfall and other data input and storage, (ii) for data processing and analysis, and (iii) for the ...
Since 2013, CNR IRPI went in with the collection of information on rainfall events that have resulted in landslides in the Liguria region. Rainfall thresholds can be used in early warning systems for the prediction of the occurrence of rainfall-induced landslides. To respond to a request of the Italian national Department for Civil Protection (DPC), CNR IRPI designed and developed SANF, an Italian acronym for National Early Warning System for ...
Rainfall-induced shallow landslides and floods are the most common and dangerous natural hazards, mainly due to their high temporal frequency, which causes fatalities and high economic damage worldwide. Climate changes will exacerbate this critical framework since an increase in extreme weather events is ...
Accurate rainfall estimates are of paramount importance as rainfall plays a key-role in many fields as, to cite a few, natural hazard assessment (floods and landslides), drought management, weather forecasting, agriculture and diseases prevention. State-of-the-art rainfall products obtained by satellites are often the only way for measuring rainfall in remote areas of the ...
Quantitative information about precipitation is one vital input to meteorologists, hydrologic scientists, water resources managers, and environmental legislators. The past SMOS+Rainfall project addressed the improvement on a global scale of the current state-of-the-art satellite rainfall products through satellite soil moisture observations derived from the Soil Moisture and Ocean Salinity mission (SMOS) by means of three different techniques. ...
We developed GASAKe, Genetic Algorithm-based Self-Adaptive Kernel, a new model to predict the time of occurrence of rainfall induced landslides.GASAKe predicts the time of occurrence of single landslides or groups of similar landslides, both shallow and deep-seated, using a threshold than when exceeded determines the initiation of the landslides. The triggering threshold is defined using historical information on rainfall and ...
This dataset consists of rainfall data recorded in the Moscardo Torrent (Carnic Alps, northeastern Italy). The Moscardo Torrent was instrumented for debris-flow monitoring by CNR IRPI (Torino office) in 1989; the research was then continued in collaboration with the Padova office. Since 2010 the monitoring activities are carried on in collaboration with the University of Udine (Dept. of Agricultural and Environmental ...
Different approaches have been proposed to model landslide and erosion processes separately. Only a few attempts have been made to model landslide and erosion jointly. Some models consider the effects of landslides on sediment yield and transport. In other cases, landslides and erosion processes are components of a landscape evolution model. However, existing models do not describe jointly the triggering mechanisms of landslide and erosion ...
Using long-term rainfall records obtained by the rain gauge network of the former Italian Hydrographic Service, in cooperation with colleagues in other CNR Institutes (ISAC and ISAFOM), we have studied the changes in the rainfall regimes in Calabria, Southern Italy.Applying appropriate statistical methods, we checked the completeness of the historical records, verifying consistency and missing values in the records. We used the obtained ...
