Detecting and Locating Aftershocks for the 2020 Mw 6.5 Stanley, Idaho, Earthquake Using Convolutional Neural Networks

Bingxu,Luo1; Hejun,Zhu1,2; Jidong,Yang3; Thorne,Lay4; Lingling,Ye5; Zhong,Lu6; David,Lumley1,2

2022-11-01

10.1785/0220210341

SEISMOLOGICAL RESEARCH LETTERS   Impact Factor & Quartile

0895-0695

1938-2057

Our study is to build an aftershock catalog with a low magnitude of completeness for the 2020 Mw 6.5 Stanley, Idaho, earthquake. This is challenging because of the low signal-to-noise ratios for recorded seismograms. Therefore, we apply convolutional neural net-works (CNNs) and use 2D time-frequency feature maps as inputs for aftershock detection. Another trained CNN is used to automatically pick P-wave arrival times, which are then used in both nonlinear and double-difference earthquake location algorithms. Our new one-month-long catalog has 4644 events and a completeness magnitude (Mc) 1.9, which has over seven times more events and 0.9 lower Mc than the current U.S. Geological Survey National Earthquake Information Center catalog. The distribution and expansion of these aftershocks improve the resolution of two north-northwest-trending faults with different dip angles, providing further support for a central stepover region that changed the earthquake rupture trajectory and induced sustained seismicity.

SCI

English

Others

U.S. National Science Foundation["EAR2042098","EAR1802364"] ; National Natural Science Foundation of China[41874056]

Geochemistry & Geophysics

Geochemistry & Geophysics

WOS:000883067900001

SEISMOLOGICAL SOC AMER

GEOSCIENCES

Web of Science

1.Department of Geosciences, The University of Texas at Dallas
2.Department of Physics, The University of Texas at Dallas, Richardson, Texas, U.S.A
3.Department of Geophysics, China University of Petroleum (East China), Qingdao, China
4.Department of Earth and Planetary Sciences, University of California, Santa Cruz, California, U.S.A
5.Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen, China
6.Roy M. Huffington Department of Earth Sciences, Southern Methodist University, Dallas, Texas, U.S.A

Bingxu,Luo,Hejun,Zhu,Jidong,Yang,et al. Detecting and Locating Aftershocks for the 2020 Mw 6.5 Stanley, Idaho, Earthquake Using Convolutional Neural Networks[J]. SEISMOLOGICAL RESEARCH LETTERS,2022,93(6).

Bingxu,Luo.,Hejun,Zhu.,Jidong,Yang.,Thorne,Lay.,Lingling,Ye.,...&David,Lumley.(2022).Detecting and Locating Aftershocks for the 2020 Mw 6.5 Stanley, Idaho, Earthquake Using Convolutional Neural Networks.SEISMOLOGICAL RESEARCH LETTERS,93(6).

Bingxu,Luo,et al."Detecting and Locating Aftershocks for the 2020 Mw 6.5 Stanley, Idaho, Earthquake Using Convolutional Neural Networks".SEISMOLOGICAL RESEARCH LETTERS 93.6(2022).