DOI码：

10.1093/gji/ggaf135

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：

Geophysical Journal International

刊物所在地：

英国

摘要：

Locating earthquakes plays an important role in the study of seismic activity and geological structures. Traditional methods for locating earthquakes mainly rely on waveform matching and traveltime fitting. With the development of artificial intelligence technology, machine learning methods have often been applied to locate earthquakes. However, current machine learning approaches may face challenges related to physical constraints. In this study, we build a 3-D U-Net network with station distribution constraints to locate earthquakes. To improve the generalizability of the network model, we a

第一作者：

Ji Zhang

合写作者：

Huiyu Zhu,李泽峰,伍新明, Jie Zhang

论文类型：

期刊论文

通讯作者：

Ji Zhang

论文编号：

39

学科门类：

理学

一级学科：

地球物理学

文献类型：

SCI

卷号：

241

期号：

3

页面范围：

1853-1867

ISSN号：

0956-540X

是否译文：

否

发表时间：

2025-04-10

发布期刊链接：

https://doi.org/10.1093/gji/ggaf135