Deep learning and transfer learning of earthquake and quarry-blast discrimination: applications to southern California and eastern Kentucky

DOI number:10.1093/gji/ggad463

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

Journal:Geophysical Journal International

Place of Publication:英国

Abstract:Discrimination between tectonic earthquakes (EQs) and quarry blasts is important for accurate EQ cataloguing and seismic hazard analysis. However, reliable classification of these two types of seismic events is challenging with no prior knowledge of source parameters. Here, we applied deep learning to perform this classification task in southern California and eastern Kentucky. Since the two regions differ significantly in available labelled data, class imbalance and waveform characteristics, we adopted different strategies for them. We directly trained a convolutional neural network (CNN) for

First Author:Jun Zhu

Co-author:Lihua Fang, Fajun Miao, Liping Fan, Ji Zhang,Zefeng Li

Indexed by:Journal paper

Correspondence Author:Zefeng Li

Document Code:28

Discipline:Natural Science

First-Level Discipline:Geophysics

Document Type:SCI

Volume:236

Issue:2

Page Number:979-993

ISSN No.:0956-540X

Translation or Not:no

Date of Publication:2023-11-28

Links to published journals:https://doi.org/10.1093/gji/ggad463