E3S Web of Conf. 415, Proceedings of 8th International Conference on Debris Flow Hazard Mitigation (DFHM8) .
ISSN/ISBN: Not available at this time. DOI: 10.1051/e3sconf/202341503033
Abstract: The first step in building an early warning system using seismic signals is to automatically identify events of interest. Here, the first digit distribution of seismic signals generated by debris flows and other surface processes was calculated to validate compliance with Benford's law (BL). A detector model for debris flow events was introduced based on amplitude range and goodness of fit of BL. We show that seismic signals generated by debris flows, landslides, and bedload transport follow the BL. These events release more energy and last longer than rockfalls, which do not follow BL. In the test dataset with 1224 samples, the accuracy of the detector model in identifying debris flow events was 0.75.
Bibtex:
@inProceedings{,
author = {{Zhou, Qi} and {Tang, Hui} and {Turowski, Jens M.} and {Braun, Jean} and {Yang, Ci-Jian} and {Dietze, Michael} and {Lagarde, Sophie} and {Abdelwahab, Ahmed} and {Walter, Fabian}},
title = {Detection of debris-flow events from seismic signals using Benford\'{}s law},
DOI= {10.1051/e3sconf/202341503033},
booktitle = {E3S Web of Conf. Proceedings of 8th International Conference on Debris Flow Hazard Mitigation (DFHM8)},
year = 2023,
volume = 415,
pages = "03033",
}
Reference Type: Conference Paper
Subject Area(s): Natural Sciences