| Issue |
E3S Web of Conf.
Volume 415, 2023
8th International Conference on Debris Flow Hazard Mitigation (DFHM8)
|
|
|---|---|---|
| Article Number | 03033 | |
| Number of page(s) | 4 | |
| Section | Monitoring, Detection and Warning | |
| DOI | https://doi.org/10.1051/e3sconf/202341503033 | |
| Published online | 18 August 2023 | |
Detection of debris-flow events from seismic signals using Benford’s law
1 Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany
2 Institute of Geosciences, University of Potsdam, 14473 Potsdam, Germany
3 Faculty of Geoscience and Geography, Georg-August-Universität Göttingen, 37077 Göttingen, Germany
4 Swiss Federal Institute for Forest, Snow and Landscape Research, 8903 Zürich, Switzerland
* Corresponding author: qi.zhou@gfz-potsdam.de
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.
© The Authors, published by EDP Sciences, 2023
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