Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020GL089394 |
Real‐time Earthquake Early Warning with Deep Learning: Application to the 2016 M 6.0 Central Apennines, Italy Earthquake | |
Xiong Zhang; Miao Zhang; Xiao Tian | |
2021-02-06 | |
发表期刊 | Geophysical Research Letters |
出版年 | 2021 |
英文摘要 | Earthquake early warning systems are required to report earthquake locations and magnitudes as quickly as possible before the damaging S wave arrival to mitigate seismic hazards. Deep learning techniques provide potential for extracting earthquake source information from full seismic waveforms instead of seismic phase picks. We developed a novel deep learning earthquake early warning system that utilizes fully convolutional networks to simultaneously detect earthquakes and estimate their source parameters from continuous seismic waveform streams. The system determines earthquake location and magnitude as soon as very few stations receive earthquake signals and evolutionarily improves the solutions by receiving continuous data. We apply the system to the 2016 M 6.0 Central Apennines, Italy Earthquake and its first‐week aftershocks. Earthquake locations and magnitudes can be reliably determined as early as four seconds after the earliest P phase, with mean error ranges of 8.5–4.7 km and 0.33–0.27, respectively. |
领域 | 气候变化 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/313741 |
专题 | 气候变化 |
推荐引用方式 GB/T 7714 | Xiong Zhang,Miao Zhang,Xiao Tian. Real‐time Earthquake Early Warning with Deep Learning: Application to the 2016 M 6.0 Central Apennines, Italy Earthquake[J]. Geophysical Research Letters,2021. |
APA | Xiong Zhang,Miao Zhang,&Xiao Tian.(2021).Real‐time Earthquake Early Warning with Deep Learning: Application to the 2016 M 6.0 Central Apennines, Italy Earthquake.Geophysical Research Letters. |
MLA | Xiong Zhang,et al."Real‐time Earthquake Early Warning with Deep Learning: Application to the 2016 M 6.0 Central Apennines, Italy Earthquake".Geophysical Research Letters (2021). |
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