EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Multi-river Calibration Curve for Passive Acoustic Bedload Transport Monitoring.

Mohamad Nasr1, Thomas Geay2, Sébastien Zanker3, and Alain Recking1
Mohamad Nasr et al.
  • 1Grenoble Alpes University, INRAE, ETNA, France (
  • 2BURGEAP, R&D, Grenoble, France.
  • 3EDF, Hydro, DTG, Saint Martin le Vinoux, France.

Bedload transport estimation is required for a variety of engineering and ecological applications. Measurement of bedload transport by direct sampling is expensive and time-consuming and rarely captures the spatio-temporal variability of bedload transport. Recent research shows that passive acoustic technology, such as hydrophone, has the potential to monitor bedload transport by recording Self Generated Noise (SGN) resulting from particles collision. In this work, we present a calibration curve relating specific bedload flux to cross-sectional acoustic power for 40 experiments conducted on 13 French rivers. We present the measurement protocols for bedload transport and SGN, the results of the campaign, and discuss the physics of the relationship between the measured quantities.

How to cite: Nasr, M., Geay, T., Zanker, S., and Recking, A.: Multi-river Calibration Curve for Passive Acoustic Bedload Transport Monitoring., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2505,, 2022.


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