[HTML][HTML] 2021年9月16日四川泸县MS6.0地震序列特征及孕震构造环境

易桂喜, 赵敏, 龙锋, 梁明剑, 王明明, 周荣军, 王思维 - 地球物理学报, 2021 - html.rhhz.net
2021 年9 月16 日, 四川省泸州市泸县发生MS 6.0 地震, 是继2019 年6 月17 日长宁MS 6.0
地震后在四川盆地发生的又一次6 级强震. 泸县MS 6.0 地震震中位于NE 走向的华蓥山褶断带 …

Machine‐learning‐facilitated earthquake and anthropogenic source detections near the Weiyuan Shale Gas Blocks, Sichuan, China

PC Zhou, WL Ellsworth, HF Yang… - Earth and Planetary …, 2021 - Wiley Online Library
Seismic hazard assessment and risk mitigation depend critically on rapid analysis and
characterization of earthquake sequences. Increasing seismicity in shale gas blocks of the …

Deep outer‐rise faults in the Southern Mariana Subduction Zone indicated by a machine‐learning‐based high‐resolution earthquake catalog

H Chen, H Yang, G Zhu, M Xu, J Lin… - Geophysical Research …, 2022 - Wiley Online Library
Outer‐rise faults are predominantly concentrated near ocean trenches due to subducted
plate bending. These faults play crucial roles in the hydration of subducted plates and the …

Characteristics of the seismic sequence and seismogenic environment of the MS6.0 Sichuan Luxian earthquake on September 16, 2021

GX YI, M ZHAO, F LONG, MJ LIANG… - Chinese Journal of …, 2021 - en.dzkx.org
Abstract On September 16, 2021, an MS 6.0 earthquake occurred in the Luxian County,
Luzhou City in Sichuan Province. It is another MS 6.0 event in Sichuan Basin after the MS …

Discrimination of earthquake and quarry blast based on multi-input convolutional neural network

X TIAN, MJ WANG, X ZHANG, XT WANG… - Chinese Journal of …, 2022 - en.dzkx.org
The discrimination of natural earthquakes and quarry blasts is an important part of
earthquake monitoring and early warning. In recent years, the fast-developing deep learning …

[HTML][HTML] 四川大岗山水库蓄水对地震活动影响的数值模拟研究

朱家正, 孙玉军 - 地球物理学报, 2022 - dzkx.org
水库地震问题是我国西南地区大型水电工程建设所面临的重要科学问题. 四川大岗山水库处于
龙门山断裂, 鲜水河断裂和安宁河断裂等几条大型断裂的交汇区域, 属于地震高烈度区域 …

Along‐strike variation of seismicity near the extinct mid‐ocean ridge subducted beneath the manila trench

G Zhu, H Yang, T Yang… - … Society of America, 2023 - pubs.geoscienceworld.org
The change in seismic activity is explored using data recorded by ocean‐bottom
seismometers (OBSs) and permanent seismic stations near the extinct Mid‐Ocean ridge of …

[PDF][PDF] 基于深度神经网络的地磁观测数据高压直流输电干扰事件识别

单维锋, 闫非石, 刘海军, 李志扬, 刘高川, 陈俊 - 地球物理学报, 2023 - dsjyj.com.cn
摘要随着越来越多高压直流输电线路的投入运行, 地磁观测数据质量受到了严重影响.
现有以人工或半人工方法识别高压直流输电干扰事件的工作量也随着受干扰范围的不断扩大和 …

Recent advances in earthquake seismology using machine learning

H Kubo, M Naoi, M Kano - Earth, Planets and Space, 2024 - Springer
Given the recent developments in machine-learning technology, its application has rapidly
progressed in various fields of earthquake seismology, achieving great success. Here, we …

Deep Learning‐Based H‐κ Method (HkNet) for Estimating Crustal Thickness and Vp/Vs Ratio From Receiver Functions

F Wang, X Song, J Li - Journal of Geophysical Research: Solid …, 2022 - Wiley Online Library
The teleseismic receiver function (RF) is commonly used to determine major interfaces of the
Earth. If the crustal Vp is known approximately, the Moho converted Ps phase and crustal …