Preprints
https://doi.org/10.5194/egusphere-2024-2525
https://doi.org/10.5194/egusphere-2024-2525
23 Sep 2024
 | 23 Sep 2024

Improving prediction of particle size with a novel acoustic bedload monitoring system consisting of phased microphone arrays and accelerometer

Zheng Chen, Siming He, Alexandre Badoux, and Dieter Rickenmann

Abstract. Accurate measurement of bedload transport flux in rivers remains an important issue in hydraulic engineering. Acoustic-based devices provide a promising way to measure the transport rate with established calibration relationships between the signal and bedload particles. We develop a novel acoustic bedload monitoring system with phased microphone arrays (PMA) and accelerometer to localize the particle impact location and to better determine the particle size. Impact experiments with quartz spheres in a flume setting were performed to investigate the dynamic signal response of the PMA monitoring system for varying particle size and impact location. For a similar virtual set-up, the conventional beamforming method was used to determine the source characteristics of the acoustic wave on the scanning plane of the PMA structure. The model provides a calculation of the cross-power matrix of the recorded pressures generated by bedload which localizes the particle impacts on the plate. The results give correlation relationships between the number of signal impulses per particle mass, the amplitude, and the centroid frequency and the bedload grain size. The findings of this study contribute to the measurement of the bedload transport with the PMA system, which helps to localize the bedload impact positions and improves the predictions of particle size.

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Journal article(s) based on this preprint

07 Nov 2025
A novel acoustic bedload monitoring system with phased microphone arrays and an accelerometer for particle localization and size estimation
Zheng Chen, Siming He, Alexandre Badoux, and Dieter Rickenmann
Earth Surf. Dynam., 13, 1181–1203, https://doi.org/10.5194/esurf-13-1181-2025,https://doi.org/10.5194/esurf-13-1181-2025, 2025
Short summary
Zheng Chen, Siming He, Alexandre Badoux, and Dieter Rickenmann

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-2525', Anonymous Referee #1, 18 Nov 2024
    • AC1: 'Reply on RC1', Zheng Chen, 09 Aug 2025
  • RC2: 'Comment on egusphere-2024-2525', Anonymous Referee #2, 13 Jun 2025
    • AC2: 'Reply on RC2', Zheng Chen, 09 Aug 2025

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-2525', Anonymous Referee #1, 18 Nov 2024
    • AC1: 'Reply on RC1', Zheng Chen, 09 Aug 2025
  • RC2: 'Comment on egusphere-2024-2525', Anonymous Referee #2, 13 Jun 2025
    • AC2: 'Reply on RC2', Zheng Chen, 09 Aug 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Zheng Chen on behalf of the Authors (27 Aug 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (15 Sep 2025) by Kieran Dunne
ED: Publish as is (30 Sep 2025) by Wolfgang Schwanghart (Editor)
AR by Zheng Chen on behalf of the Authors (01 Oct 2025)

Journal article(s) based on this preprint

07 Nov 2025
A novel acoustic bedload monitoring system with phased microphone arrays and an accelerometer for particle localization and size estimation
Zheng Chen, Siming He, Alexandre Badoux, and Dieter Rickenmann
Earth Surf. Dynam., 13, 1181–1203, https://doi.org/10.5194/esurf-13-1181-2025,https://doi.org/10.5194/esurf-13-1181-2025, 2025
Short summary
Zheng Chen, Siming He, Alexandre Badoux, and Dieter Rickenmann
Zheng Chen, Siming He, Alexandre Badoux, and Dieter Rickenmann

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Short summary
We developed a novel bedload monitoring system, which integrates phased microphone arrays and an accelerometer for enhanced performance. This monitoring system can be used to identify bedload particle impact locations on the system plate with precision using beamforming techniques applied to the generated microphone signals. Optimal use of multiple types of signals recorded by the monitoring system improves the accuracy of bedload size prediction.
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