Distinguishing natural sources from anthropogenic events in seismic data
Seismological Research Letters
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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).
| 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 |