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DOI | 10.1029/2019GL085976 |
A Machine-Learning Approach for Earthquake Magnitude Estimation | |
Mousavi, S. Mostafa; Beroza, Gregory C. | |
2020-01-16 | |
发表期刊 | GEOPHYSICAL RESEARCH LETTERS
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ISSN | 0094-8276 |
EISSN | 1944-8007 |
出版年 | 2020 |
卷号 | 47期号:1 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | In this study, we present a fast and reliable method for end-to-end estimation of earthquake magnitude from raw waveforms recorded at single stations. We design a regressor (MagNet) composed of convolutional and recurrent neural networks that is not sensitive to the data normalization, hence waveform amplitude information can be utilized during the training. The network can learn distance-dependent and site-dependent functions directly from the training data. Our model can predict local magnitudes with an average error close to zero and standard deviation of similar to 0.2 based on single-station waveforms without instrument response correction. We test the network for both local and duration magnitude scales and show a station-based learning can be an effective approach for improving the performance. The proposed approach has a variety of potential applications from routine earthquake monitoring to early warning systems. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000513983400032 |
WOS关键词 | QUANTIFICATION ; SCALE ; NOISE ; DEEP |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
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/279496 |
专题 | 气候变化 |
作者单位 | Stanford Univ, Dept Geophys, Stanford, CA 94305 USA |
推荐引用方式 GB/T 7714 | Mousavi, S. Mostafa,Beroza, Gregory C.. A Machine-Learning Approach for Earthquake Magnitude Estimation[J]. GEOPHYSICAL RESEARCH LETTERS,2020,47(1). |
APA | Mousavi, S. Mostafa,&Beroza, Gregory C..(2020).A Machine-Learning Approach for Earthquake Magnitude Estimation.GEOPHYSICAL RESEARCH LETTERS,47(1). |
MLA | Mousavi, S. Mostafa,et al."A Machine-Learning Approach for Earthquake Magnitude Estimation".GEOPHYSICAL RESEARCH LETTERS 47.1(2020). |
条目包含的文件 | 条目无相关文件。 |
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