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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Main Authors: Hiroki Ikeda, Ryota Takagi
Format: Article
Language:English
Published: SpringerOpen 2019-06-01
Series:Earth, Planets and Space
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40623-019-1051-5
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spelling 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
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AT ryotatakagi coseismicchangesinsubsurfacestructureassociatedwiththe2018hokkaidoeasterniburiearthquakedetectedusingautocorrelationanalysisofambientseismicnoise
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