Articles | Volume 26, issue 10
https://doi.org/10.5194/nhess-26-5133-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-26-5133-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Seismic analysis of bedload discharge at Tagliamento River during flood events
Mario Valerio Gangemi
CORRESPONDING AUTHOR
Dep. of Biological, Geological and Environmental Sciences – University of Catania, Catania, Italy
Julien Barrière
European Center for Geodynamics and Seismology, Walferdange, Luxembourg
Alfio Marco Borzì
Dep. of Biological, Geological and Environmental Sciences – University of Catania, Catania, Italy
Andrea Cannata
Dep. of Biological, Geological and Environmental Sciences – University of Catania, Catania, Italy
National Institute of Geophysics and Volcanology, Etna observatory, Catania, Italy
Flavio Cannavò
National Institute of Geophysics and Volcanology, Etna observatory, Catania, Italy
Adrien Oth
European Center for Geodynamics and Seismology, Walferdange, Luxembourg
Stefano Parolai
Dep. of Mathematics, Informatics and Geosciences – University of Trieste, Trieste, Italy
Matteo Picozzi
National Institute of Oceanography and Applied Geophysics OGS, Trieste, Italy
Concetto Spampinato
Dep. of Electrical, Electronic and Computer Engineering – University of Catania, Catania, Italy
Luca Zini
Dep. of Mathematics, Informatics and Geosciences – University of Trieste, Trieste, Italy
Giulia Barisione
Geodynamics and Geophysical Monitoring Department (GEOM), Eni S.p.A., San Donato Milanese (Milano), Italy
Francesco Panzera
CORRESPONDING AUTHOR
Dep. of Biological, Geological and Environmental Sciences – University of Catania, Catania, Italy
Model code and software
ObsPy 1.4.1 (Version 1.4.1) The ObsPy Development Team https://doi.org/10.5281/zenodo.11093256
Short summary
This work presents a multiparametric analysis of hydrological, meteorological, and seismic data to characterize a major flood event in the Tagliamento River (Italy). River-generated seismic noise, related to flow and bedload transport, is detected up to 3 km from the channel. Cross-correlation and polarization analyses of the November 2023 "Ciàran Storm" reveal a clear PSD (Power Spectral Density)–water level relationship with hysteresis.
This work presents a multiparametric analysis of hydrological, meteorological, and seismic data...
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