A model-based early warning system for runoff-generated debris-flow occurrence: Preliminary results

• Published in: E3S web of conferences 2023-01, Vol.415, p.3005
• Main Authors: Cazorzi, Federico, Barbini, Matteo, Beinat, Alberto, Bernard, Martino, Boreggio, Mauro, Cesca, Matteo, Cucchiaro, Sara, Dainese, Roberta, De Luca, Alberto, Demmler, Christian, Gregoretti, Carlo, Hagen, Karl, Lechner, Veronika, Maset, Eleonora, Neuhauser, Michael, Nicolosi, Paolo, Zingerle, Christoph
• Format: Article
• Language: English
• ISSN: 2267-1242; 2267-1242
• DOI: 10.1051/e3sconf/202341503005

Early warning systems for debris flows are low cost measures for mitigating this kind of hazard. The early warning systems provide a timely alert for upcoming events in order to take protective measures, such as closing railways-roads, evacuating people from the threatened areas, and put rescue forces into readiness. These systems usually are sensor-based, and the alert time is the interval between the timing of the first detachment of debris flow by a sensor and its arrival into the threatened area. At the purpose of increasing the alert time, we propose an early warning system based on a model-cascade: nowcasting, hydrological- and triggering models. Nowcasting anticipates rainfall pattern that is transformed into runoff by the hydrological model. The triggering model estimates the volume of sediments that the runoff can entrain, and compares it with a critical threshold. If this is exceeded the alert is launched. The proposed early warning system is tested against the available data of the Rovina di Cancia (Northeast Italy) site.