| Issue |
E3S Web of Conf.
Volume 415, 2023
8th International Conference on Debris Flow Hazard Mitigation (DFHM8)
|
|
|---|---|---|
| Article Number | 03004 | |
| Number of page(s) | 4 | |
| Section | Monitoring, Detection and Warning | |
| DOI | https://doi.org/10.1051/e3sconf/202341503004 | |
| Published online | 18 August 2023 | |
Characterization of a debris flow event using an affordable monitoring system
1 University of Bologna, Department of Biological, Geological, and Environmental Sciences (Italy)
2 Andreas Schimmel - Alpine Monitoring Systems (Austria)
3 National Research Council, CNR-IRPI Padua (Italy)
4 Land & Cogeo s.r.l. (Italy)
5 Civil Protection Agency, Lombardia Region (Italy)
6 University of Brescia, Department of Civil, Environmental, Architectural Engineering and Mathematics (Italy)
7 Servizio Glaciologico Lombardo, Lombardia Region (Italy)
8 National Research Council, CNR-IRPI Turin (Italy)
* Corresponding author: matteo.berti@unibo.it
This study presents monitoring data of a debris flow event in the Central Italian Alps. The debris flow occurred on August 16, 2021 in the Blè basin (Val Camonica valley, Lombardia Region) and was recorded by a monitoring station installed just few weeks before. The monitoring system was deployed to document the hydrologic response of the catchment to rainfall, and was designed to be lightweight, relatively cheap, and easy to deploy in the field. To this purpose, we combined video cameras with geophysical sensors (geophones and infrasound) and optimized the power supply system. The data recorded during the event allowed to identify the triggering rainfall, document the flow behaviour, and estimate surface flow velocity and flow rate using Particle Image Velocimetry algorithms. Moreover, the seismic signal generated by the debris flow revealed a peculiar frequency spectrum compared to regular streamflow. These results show that even a relatively simple monitoring system may provide valuable data on real debris flow events.
© 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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.