Distinguishing natural sources from anthropogenic events in seismic data
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Abstract
As seismic data are increasingly used to investigate a diverse range of subsurface phenomena beyond regular fast-rupturing earthquakes (Peng and Gomberg, 2010; Beroza and Ide, 2011), it is important to acknowledge that human-generated ground vibrations may be mistaken for naturally generated subsurface processes (Larose et al., 2015; Li et al., 2018). Correct discrimination of natural processes from anthropogenic noise is especially pressing given the trend in seismic detection research toward automated algorithms and machine learning methods (Yoon et al., 2015; Kong et al., 2019;Mousavi and Beroza, 2022) and the growth in seismic data collection in new environments such as urban and industry settings (e.g., Díaz et al.,2017).
Suggested Citation
Maher, S., Glasgow, M.E., Cochran, E.S., Peng, Z., 2025, Distinguishing natural sources from anthropogenic events in seismic data: Seismological Research Letters, v. 96, no. 1, p. 1-6, https://doi.org/10.1785/0220240330.
ISSN: 1938-2057 (online)
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Distinguishing natural sources from anthropogenic events in seismic data |
| Series title | Seismological Research Letters |
| DOI | 10.1785/0220240330 |
| Volume | 96 |
| Issue | 1 |
| Publication Date | December 06, 2024 |
| Year Published | 2025 |
| Language | English |
| Publisher | Seismological Society of America |
| Contributing office(s) | Earthquake Science Center |
| Description | 6 p. |
| First page | 1 |
| Last page | 6 |