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Measuring bedload motion time at sub-second resolution using Benford's law on acoustic data
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  • Ci-Jian Yang,
  • Jens Martin Turowski,
  • Qi Zhou (Chow),
  • Ron Nativ,
  • Hui Tang,
  • Wen-Sheng Chen
Ci-Jian Yang
National Taiwan University

Corresponding Author:[email protected]

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Jens Martin Turowski
GFZ German Research Centre for Geosciences, Potsdam
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Qi Zhou (Chow)
Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences
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Ron Nativ
Ben-Gurion University of the Negev
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Hui Tang
German Research Centre for Geosciences (GFZ)
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Wen-Sheng Chen
Center for General Education, National Dong Hwa University
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An important component of quantifying bedload transport flux is the identification of the onset of bedload motion. Bedload transport can be monitored with high temporal resolution using passive acoustic methods, e.g., hydrophones. Yet, an efficient method for identifying the onset of bedload transport from long-term continuous acoustic data is still lacking. Benford’s Law defines a probability distribution of the first-digit of datasets and has been used to identify anomalies. We apply Benford’s Law to the three years of acoustic recordings from a stationary hydrophone in the Taroko National Park, Taiwan. Our workflow allows for monitoring bedload motion in near-real-time, and it is convenient for others to reference. Two bedload transport events were identified during the examined period, lasting 17 and 45 hours, accounting for approximately 0.35% of the time per year.
07 Nov 2023Submitted to ESS Open Archive
08 Nov 2023Published in ESS Open Archive