Cargando…
Locating induced earthquakes with a network of seismic stations in Oklahoma via a deep learning method
The accurate and automated determination of small earthquake (M(L) < 3.0) locations is still a challenging endeavor due to low signal-to-noise ratio in data. However, such information is critical for monitoring seismic activity and assessing potential hazards. In particular, earthquakes caused by...
Autores principales: | Zhang, Xiong, Zhang, Jie, Yuan, Congcong, Liu, Sen, Chen, Zhibo, Li, Weiping |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005003/ https://www.ncbi.nlm.nih.gov/pubmed/32029857 http://dx.doi.org/10.1038/s41598-020-58908-5 |
Ejemplares similares
-
The surge of earthquakes in Central Oklahoma has features of reservoir-induced seismicity
por: Johann, Lisa, et al.
Publicado: (2018) -
Forecasting induced seismicity in Oklahoma using machine learning methods
por: Qin, Yan, et al.
Publicado: (2022) -
Oklahoma’s recent earthquakes and saltwater disposal
por: Walsh, F. Rall, et al.
Publicado: (2015) -
Real-time determination of earthquake focal mechanism via deep learning
por: Kuang, Wenhuan, et al.
Publicado: (2021) -
How will induced seismicity in Oklahoma respond to decreased saltwater injection rates?
por: Langenbruch, Cornelius, et al.
Publicado: (2016)