RT Journal Article
T1 Assessment of pebble virtual velocities by combining active RFID fixed stations with geophones
A1 Cassel, Mathieu
A1 Navratil, Oldrich
A1 Liébault, Frédéric
A1 Recking, Alain
A1 Vázquez Tarrio, Daniel
A1 Bakker, Maarten
A1 Zanker, Sébastien
A1 Misset, Clément
A1 Piégay, Hervé
AB Monitoring bedload transport in rivers is a challenging research domain teeming with technical innovations and methodological developments aimed at improving our knowledge and models of bedload processes at different spatial–temporal scales. Radio frequency identification (RFID) technology has improved sediment tracking, allowing the characterisation of transport processes of individual particles at flood-event scales. Meanwhile, geophone sensors have enabled the long-term continuous monitoring of seismic signals that can provide surrogate measures of bedload fluxes at local scales, during flood events and at sediment-pulses. The combination of these two techniques could allow sediment transport processes to be linked with both flood events and sediment pulses. In this study, we used a combination of active ultra-high frequency RFID technology and geophone monitoring stations to link the virtual velocity of tracers with seismic activity, hydraulic forcing, and the properties of the tracked particles. Single and multiple regression models show that seismic activity best explained the observed variance (81%) of the virtual velocity of particles, in comparison with discharge (58%) and stream power (63%). Furthermore, when several control variables (seismic activity and particle properties) were combined in an empirical model, the model explained 89% of the variance and allowed quantification of the portions of the variance explained by hydraulic forcing, geophonic activity and tracked particles. These results show the high potential of these combined monitoring techniques for future in-field experiments to investigate bedload processes at different spatiotemporal scales in rivers of different morphologies.
PB Wiley
SN 0197-9337
YR 2023
FD 2023-10
LK https://hdl.handle.net/20.500.14352/88264
UL https://hdl.handle.net/20.500.14352/88264
LA eng
NO Université de Lyon
NO French National Research Agency
NO CNRS
NO INRAE
NO Électricité de France - EDF
NO GeoPeka
DS Docta Complutense
RD 25 mar 2026