High-resolution seismic event detection using local similarity for Large-N arrays

DOI number:10.1038/s41598-018-19728-w

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

Journal:Scientific Reports

Place of Publication:英国

Abstract:We develop a novel method for seismic event detection that can be applied to large-N arrays. The method is based on a new detection function named local similarity, which quantifies the signal consistency between the examined station and its nearest neighbors. Using the 5200-station Long Beach nodal array, we demonstrate that stacked local similarity functions can be used to detect seismic events with amplitudes near or below noise levels. We apply the method to one-week continuous data around the 03/11/2011 Mw 9.1 Tohoku-Oki earthquake, to detect local and distant events. In the 5–10 Hz range

First Author:Zefeng Li

Co-author:Zhigang Peng, Dan Hollis, Lijun Zhu, James McClellan

Indexed by:Journal paper

Correspondence Author:Zefeng Li

Document Code:8

Discipline:Natural Science

First-Level Discipline:Geophysics

Document Type:SCI

Volume:8

Issue:1

Page Number:1646

ISSN No.:2045-2322

Translation or Not:no

Date of Publication:2018-01-26

Links to published journals:https://doi.org/10.1038/s41598-018-19728-w