دورية أكاديمية
Bayesian approach for detecting dynamically triggered very low-frequency earthquakes in the Nankai subduction zone and application to the 2016 Mw5.9 off-Kii Peninsula earthquake, Japan
| العنوان: | Bayesian approach for detecting dynamically triggered very low-frequency earthquakes in the Nankai subduction zone and application to the 2016 Mw5.9 off-Kii Peninsula earthquake, Japan |
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| المؤلفون: | Miyazawa, Masatoshi |
| المساهمون: | 宮澤, 理稔, 80402931 |
| بيانات النشر: | Oxford University Press |
| سنة النشر: | 2019 |
| المجموعة: | Kyoto University Research Information Repository (KURENAI) / 京都大学学術情報リポジトリ |
| مصطلحات موضوعية: | Computational seismology, Earthquake dynamics, Seismic interferometry, Subduction zone processes, Time-series analysis, Wave propagation |
| الوصف: | A correction has been published: Geophysical Journal International, Volume 218, Issue 2, August 2019, Page 977, https://doi.org/10.1093/gji/ggz218Test. ; Remote triggering of very low-frequency (VLF) earthquakes in the Nankai subduction zone by surface waves from a moderate to large, distant earthquake was examined using a Bayesian approach. The triggering of another type of tectonic slow earthquake/tremor and slow slip was previously discovered using simple signal processing techniques that exploit the different characteristic periods of the triggered and triggering event waveforms. Meanwhile, detecting low-amplitude VLF earthquakes embedded in high-amplitude seismic waves is challenging when they have similar characteristic periods, as established detection algorithms are inapplicable in such cases. Here we use a particle filter/smoother for time-series analysis combined with Markov chain Monte Carlo methods, to detect seismic signals and estimate the maximum likelihood source parameters of VLF events that might have been remotely triggered by surface waves from a moderate to large, distant earthquake, in data where the surface waves and target signals both have predominant periods between 10 and 100 s. This approach was applied to seismograms of the 2016 Mw 5.9 off-Kii Peninsula earthquake (Japan), recorded by the KiK-net borehole array in western Shikoku, Japan, where VLF events were previously reported. The borehole array is used because comparing surface and borehole records can identify vertically incident body waves based on depth-dependent phase differences, which do not appear in records of horizontally propagating surface waves. In particle filtering/smoothing, waveforms of a probable VLF event at each seismic station are predicted by a full-wavefield simulation in a 3-D structure model, and seismic interferometry that estimates traveltimes between surface and borehole sensors. A maximum-likelihood approach is used to estimate source parameters that best explain the surface observations predicted by the ... |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 0956-540X 1365-246X |
| العلاقة: | https://doi.org/10.1093/gji/ggz218Test; http://hdl.handle.net/2433/242838Test; Geophysical Journal International; 217; 1123; 1140 |
| الإتاحة: | https://doi.org/10.1093/gji/ggz218Test http://hdl.handle.net/2433/242838Test |
| حقوق: | © The Author(s) 2019. Published by Oxford University Press on behalf of The Royal Astronomical Society. |
| رقم الانضمام: | edsbas.F264CBB7 |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 0956540X 1365246X |
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