Coseismic changes in subsurface structure associated with the 2018 Hokkaido Eastern Iburi Earthquake detected using autocorrelation analysis of ambient seismic noise
Abstract Autocorrelation analysis using ambient noise is a useful method to detect temporal changes in wave velocity and scattering property. In this study, we investigated the temporal changes in seismic wave velocity and scattering property in the focal region of the 2018 Hokkaido Eastern Iburi Ea...
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doaj-adf3bf45e31d43cb9acdd1560f262cd92020-11-25T03:16:29ZengSpringerOpenEarth, Planets and Space1880-59812019-06-0171111110.1186/s40623-019-1051-5Coseismic changes in subsurface structure associated with the 2018 Hokkaido Eastern Iburi Earthquake detected using autocorrelation analysis of ambient seismic noiseHiroki Ikeda0Ryota Takagi1Research Center for Prediction of Earthquakes and Volcanic Eruptions, Graduate School of Science, Tohoku UniversityResearch Center for Prediction of Earthquakes and Volcanic Eruptions, Graduate School of Science, Tohoku UniversityAbstract Autocorrelation analysis using ambient noise is a useful method to detect temporal changes in wave velocity and scattering property. In this study, we investigated the temporal changes in seismic wave velocity and scattering property in the focal region of the 2018 Hokkaido Eastern Iburi Earthquake. The autocorrelation function (ACF) was calculated by processing with bandpass filters to enhance 1–2 Hz frequency range, with aftershock removal, and applying the one-bit correlation technique. The stretching method was used to detect the seismic wave velocity change. After the mainshock, seismic velocity reductions were observed at many stations. At N.AMAH and ATSUMA, which are located close to the mainshock, we detected 2–3% decreases in seismic wave velocity. We compared parameters indicating strong ground motion and showed the possibility of correlations with peak dynamic strain and seismic velocity reduction. We also investigated the relationship between waveform correlation and lag time, using ACFs from before and after the mainshock, and detected distortion of the ACF waveform. The source of the waveform decorrelation was estimated to be located near the maximum coseismic slip, at around 30 km depth. Thus, distortion of the ACF waveform may reflect the formation of cracks, due to faulting at approximately 30 km depth.http://link.springer.com/article/10.1186/s40623-019-1051-5Seismic velocity changesAmbient noiseScatterer distribution changeAutocorrelation functionHokkaido Eastern Iburi EarthquakeSeismic interferometry |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hiroki Ikeda Ryota Takagi |
spellingShingle |
Hiroki Ikeda Ryota Takagi Coseismic changes in subsurface structure associated with the 2018 Hokkaido Eastern Iburi Earthquake detected using autocorrelation analysis of ambient seismic noise Earth, Planets and Space Seismic velocity changes Ambient noise Scatterer distribution change Autocorrelation function Hokkaido Eastern Iburi Earthquake Seismic interferometry |
author_facet |
Hiroki Ikeda Ryota Takagi |
author_sort |
Hiroki Ikeda |
title |
Coseismic changes in subsurface structure associated with the 2018 Hokkaido Eastern Iburi Earthquake detected using autocorrelation analysis of ambient seismic noise |
title_short |
Coseismic changes in subsurface structure associated with the 2018 Hokkaido Eastern Iburi Earthquake detected using autocorrelation analysis of ambient seismic noise |
title_full |
Coseismic changes in subsurface structure associated with the 2018 Hokkaido Eastern Iburi Earthquake detected using autocorrelation analysis of ambient seismic noise |
title_fullStr |
Coseismic changes in subsurface structure associated with the 2018 Hokkaido Eastern Iburi Earthquake detected using autocorrelation analysis of ambient seismic noise |
title_full_unstemmed |
Coseismic changes in subsurface structure associated with the 2018 Hokkaido Eastern Iburi Earthquake detected using autocorrelation analysis of ambient seismic noise |
title_sort |
coseismic changes in subsurface structure associated with the 2018 hokkaido eastern iburi earthquake detected using autocorrelation analysis of ambient seismic noise |
publisher |
SpringerOpen |
series |
Earth, Planets and Space |
issn |
1880-5981 |
publishDate |
2019-06-01 |
description |
Abstract Autocorrelation analysis using ambient noise is a useful method to detect temporal changes in wave velocity and scattering property. In this study, we investigated the temporal changes in seismic wave velocity and scattering property in the focal region of the 2018 Hokkaido Eastern Iburi Earthquake. The autocorrelation function (ACF) was calculated by processing with bandpass filters to enhance 1–2 Hz frequency range, with aftershock removal, and applying the one-bit correlation technique. The stretching method was used to detect the seismic wave velocity change. After the mainshock, seismic velocity reductions were observed at many stations. At N.AMAH and ATSUMA, which are located close to the mainshock, we detected 2–3% decreases in seismic wave velocity. We compared parameters indicating strong ground motion and showed the possibility of correlations with peak dynamic strain and seismic velocity reduction. We also investigated the relationship between waveform correlation and lag time, using ACFs from before and after the mainshock, and detected distortion of the ACF waveform. The source of the waveform decorrelation was estimated to be located near the maximum coseismic slip, at around 30 km depth. Thus, distortion of the ACF waveform may reflect the formation of cracks, due to faulting at approximately 30 km depth. |
topic |
Seismic velocity changes Ambient noise Scatterer distribution change Autocorrelation function Hokkaido Eastern Iburi Earthquake Seismic interferometry |
url |
http://link.springer.com/article/10.1186/s40623-019-1051-5 |
work_keys_str_mv |
AT hirokiikeda coseismicchangesinsubsurfacestructureassociatedwiththe2018hokkaidoeasterniburiearthquakedetectedusingautocorrelationanalysisofambientseismicnoise AT ryotatakagi coseismicchangesinsubsurfacestructureassociatedwiththe2018hokkaidoeasterniburiearthquakedetectedusingautocorrelationanalysisofambientseismicnoise |
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