A model-based early warning system for runoff-generated debris-flow occurrence: Preliminary results
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 forc...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/52/e3sconf_dfhm82023_03005.pdf |
| _version_ | 1797740266805788672 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Cazorzi Federico |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T14:09:59Z |
| format | Article |
| id | doaj.art-baecd204324d4e2da88bd9a7b7363cf3 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-12T14:09:59Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-baecd204324d4e2da88bd9a7b7363cf32023-08-21T09:02:29ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014150300510.1051/e3sconf/202341503005e3sconf_dfhm82023_03005A model-based early warning system for runoff-generated debris-flow occurrence: Preliminary resultsCazorzi Federico0Barbini Matteo1Beinat Alberto2Bernard Martino3Boreggio Mauro4Cesca Matteo5Cucchiaro Sara6Dainese Roberta7De Luca Alberto8Demmler Christian9Gregoretti Carlo10Hagen Karl11Lechner Veronika12Maset Eleonora13Neuhauser Michael14Nicolosi Paolo15Zingerle Christoph16University of Udine, Department of Agricultural, Food, Environmental SciencesUniversity of Padova, Department of Land, Environment, Agriculture and ForestryUniversity of Udine, Department of Agricultural, Food, Environmental SciencesUniversity of Padova, Department of Land, Environment, Agriculture and ForestryUniversity of Padova, Department of Land, Environment, Agriculture and ForestryARPAV, Regional Agency for Environmental Protection and Prevention of Veneto, Regional Department for Land SafetyUniversity of Udine, Department of Agricultural, Food, Environmental SciencesARPAV, Regional Agency for Environmental Protection and Prevention of Veneto, Regional Department for Land SafetyUniversity of Udine, Department of Agricultural, Food, Environmental SciencesAustrian Research Center for Forests, Department of Natural HazardsUniversity of Padova, Department of Land, Environment, Agriculture and ForestryAustrian Research Center for Forests, Department of Natural HazardsAustrian Research Center for Forests, Department of Natural HazardsUniversity of Udine, Department of Agricultural, Food, Environmental SciencesAustrian Research Center for Forests, Department of Natural HazardsARPAV, Regional Agency for Environmental Protection and Prevention of Veneto, Regional Department for Land SafetyZentralanstalt für Meteorologie und Geodynamik (ZAMG), Division: Customer Service Tyrol and VorarlbergEarly 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/52/e3sconf_dfhm82023_03005.pdf |
| spellingShingle | 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 A model-based early warning system for runoff-generated debris-flow occurrence: Preliminary results E3S Web of Conferences |
| title | A model-based early warning system for runoff-generated debris-flow occurrence: Preliminary results |
| title_full | A model-based early warning system for runoff-generated debris-flow occurrence: Preliminary results |
| title_fullStr | A model-based early warning system for runoff-generated debris-flow occurrence: Preliminary results |
| title_full_unstemmed | A model-based early warning system for runoff-generated debris-flow occurrence: Preliminary results |
| title_short | A model-based early warning system for runoff-generated debris-flow occurrence: Preliminary results |
| title_sort | model based early warning system for runoff generated debris flow occurrence preliminary results |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/52/e3sconf_dfhm82023_03005.pdf |
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