Reliable Real‐Time Seismic Signal/Noise Discrimination With Machine Learning
发布时间:2019-01-25
点击次数:
- DOI码:
- 10.1029/2018jb016661
- 所属单位:
- 中国科学技术大学地球和空间科学学院
- 发表刊物:
- Journal of Geophysical Research: Solid Earth
- 刊物所在地:
- 美国
- 摘要:
- In earthquake early warning (EEW), every sufficiently impulsive signal is potentially the first evidence for an unfolding large earthquake. More often than not, however, impulsive signals are mere nuisance signals. One of the most fundamental—and difficult—tasks in EEW is to rapidly and reliably discriminate real local earthquake signals from all other signals. This discrimination is necessarily based on very little information, typically a few seconds worth of seismic waveforms from a small number of stations. As a result, current EEW systems struggle to avoid discrimination errors and suffer
- 第一作者:
- Men-Andrin Meier
- 合写作者:
- Zachary E. Ross, Anshul Ramachandran, Ashwin Balakrishna, Suraj Nair, Peter Kundzicz,李泽峰, Jennifer Andrews, Egill Hauksson, Yisong Yue
- 论文类型:
- 期刊论文
- 通讯作者:
- Men-Andrin Meier
- 论文编号:
- 12
- 学科门类:
- 理学
- 一级学科:
- 地球物理学
- 文献类型:
- SCI
- 卷号:
- 124
- 期号:
- 1
- 页面范围:
- 788-800
- ISSN号:
- 2169-9313
- 是否译文:
- 否
- 发表时间:
- 2019-01-25


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