Issue |
E3S Web of Conf.
Volume 415, 2023
8th International Conference on Debris Flow Hazard Mitigation (DFHM8)
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Article Number | 03005 | |
Number of page(s) | 4 | |
Section | Monitoring, Detection and Warning | |
DOI | https://doi.org/10.1051/e3sconf/202341503005 | |
Published online | 18 August 2023 |
A model-based early warning system for runoff-generated debris-flow occurrence: Preliminary results
1 University of Udine, Department of Agricultural, Food, Environmental Sciences, 33100 Udine (UD), Italy
2 University of Padova, Department of Land, Environment, Agriculture and Forestry, 35020 Legnaro (PD), Italy
3 ARPAV, Regional Agency for Environmental Protection and Prevention of Veneto, Regional Department for Land Safety, 32100 Belluno, Italy
4 Austrian Research Center for Forests, Department of Natural Hazards, Seckendorff-Gudent-Weg 8, Vienna, Austria
5 Zentralanstalt für Meteorologie und Geodynamik (ZAMG), Division: Customer Service Tyrol and Vorarlberg, Fürstenweg 180, 6020 Innsbruck, Austria
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.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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