Reliable Real‐Time Seismic Signal/Noise Discrimination With Machine Learning

DOI number:10.1029/2018jb016661

Affiliation of Author(s):中国科学技术大学地球和空间科学学院

Journal:Journal of Geophysical Research: Solid Earth

Place of Publication:美国

Abstract: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

First Author:Men-Andrin Meier

Co-author:Zachary E. Ross, Anshul Ramachandran, Ashwin Balakrishna, Suraj Nair, Peter Kundzicz,Zefeng Li, Jennifer Andrews, Egill Hauksson, Yisong Yue

Indexed by:Journal paper

Correspondence Author:Men-Andrin Meier

Document Code:12

Discipline:Natural Science

First-Level Discipline:Geophysics

Document Type:SCI

Volume:124

Issue:1

Page Number:788-800

ISSN No.:2169-9313

Translation or Not:no

Date of Publication:2019-01-25

Links to published journals:https://doi.org/10.1029/2018jb016661