Preprint on ESS Open Archive.
ISSN/ISBN: Not available at this time. DOI: Not available at this time.
Abstract: 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.
Bibtex:
@misc{,
author = {Ci-Jian Yang and Jens Martin Turowski and Qi Zhou and Ron Nativ and Hui Tang and
Wen-Sheng Chen},
title = {Measuring bedload motion time at sub-second resolution using Benford’s law on acoustic data},
year = {2023},
url = {https://d197for5662m48.cloudfront.net/documents/publicationstatus/177047/preprint_pdf/3b90d5c30a6d521d33adf5a6dcc36f5b.pdf},
}
Reference Type: Preprint
Subject Area(s): Natural Sciences