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Inversion of Love Waves in Earthquake Ground Motion Records for Two-dimensional S-wave Velocity Model of Deep Sedimentary Layers
Kentaro Kasamatsu
Kajima Corporation (Former Tokyo Institute of Technology), 2-19-1 Tobitakyu, Chofu-shi, Tokyo, Japan
Corresponding Author
ORCiD: https://orcid.org/0000-0001-9511-5086
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This work is licensed under a CC BY 4.0 License. Read Full License
View the published version at Earth, Planets and Space.
We have proposed a new waveform inversion method to estimate a 2D S-wave velocity structure of deep sedimentary layers using broadband Love waves. As a preprocessing operation in our inversion scheme, we decompose earthquake observation records into velocity waveforms at periods of 1 s interval. Then, we verify an assumption of 2D propagations of Love waves with polarization features based on a principal component analysis to select the segments applied for the inversion. A linearized iterative inversion analysis for the selected Love wave segments filtered at period of every 1 s allows a detailed estimation of boundary shapes of interfaces over the seismic bedrock with an S-wave velocity of approximately 3 km/s. We demonstrate the technique’s effectiveness with applications to observed seismograms in the Kanto plain, Japan. Differences between the estimated and existing structural models are remarkable at basin edges. A regional variation of the near-surface S-wave velocities in our model is similar to a distribution of surface geological classifications. Since a subsurface structure at a basin edge strongly affects earthquake ground motions in a basin with generations of surface waves, our method can provide a detail model of a complex S-wave velocity structure at an edge part for a strong ground motion prediction.
Keywords
Waveform inversion, Long-period strong motion, Love wave, Two-dimensional assumption, Principal component analysis, S-wave velocity, Deep sedimentary layers, Basin edge, Kanto plain
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CURRENT STATUS: Published
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Posted 09 Dec, 2020
Review #1 received
Received 09 Dec, 2020
Editorial decision: Minor Revision
On 09 Dec, 2020
Reviewers invited
Invitations sent on 25 Nov, 2020
Reviewer #1 agreed
On 25 Nov, 2020
Editor assigned
On 24 Nov, 2020
Submission checks complete
On 24 Nov, 2020
Editor invited
On 24 Nov, 2020
This version was not preprinted
Version 1
Posted 22 Sep, 2020
Published
On 12 Jan, 2021
No community comments so far
Editorial decision: Minor Revision
On 24 Oct, 2020
Review #1 received
Received 22 Oct, 2020
Review #2 received
Received 13 Oct, 2020
Reviewer #2 agreed
On 25 Sep, 2020
Editor assigned
On 24 Sep, 2020
Reviewers invited
Invitations sent on 24 Sep, 2020
Reviewer #1 agreed
On 24 Sep, 2020
Editor invited
On 23 Sep, 2020
Submission checks complete
On 18 Sep, 2020
First submitted
On 16 Sep, 2020
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This preprint is under consideration at Earth, Planets and Space. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Full paper
Inversion of Love Waves in Earthquake Ground Motion Records for Two-dimensional S-wave Velocity Model of Deep Sedimentary Layers
Kentaro Kasamatsu
Kajima Corporation (Former Tokyo Institute of Technology), 2-19-1 Tobitakyu, Chofu-shi, Tokyo, Japan
Corresponding Author
ORCiD: https://orcid.org/0000-0001-9511-5086
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
Version (no preprint)
Posted 09 Dec, 2020
Review #1 received
Received 09 Dec, 2020
Editorial decision: Minor Revision
On 09 Dec, 2020
Reviewers invited
Invitations sent on 25 Nov, 2020
Reviewer #1 agreed
On 25 Nov, 2020
Editor assigned
On 24 Nov, 2020
Submission checks complete
On 24 Nov, 2020
Editor invited
On 24 Nov, 2020
This version was not preprinted
Version 1
Posted 22 Sep, 2020
Published
On 12 Jan, 2021
No community comments so far
Editorial decision: Minor Revision
On 24 Oct, 2020
Review #1 received
Received 22 Oct, 2020
Review #2 received
Received 13 Oct, 2020
Reviewer #2 agreed
On 25 Sep, 2020
Editor assigned
On 24 Sep, 2020
Reviewers invited
Invitations sent on 24 Sep, 2020
Reviewer #1 agreed
On 24 Sep, 2020
Editor invited
On 23 Sep, 2020
Submission checks complete
On 18 Sep, 2020
First submitted
On 16 Sep, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published version at Earth, Planets and Space.
We have proposed a new waveform inversion method to estimate a 2D S-wave velocity structure of deep sedimentary layers using broadband Love waves. As a preprocessing operation in our inversion scheme, we decompose earthquake observation records into velocity waveforms at periods of 1 s interval. Then, we verify an assumption of 2D propagations of Love waves with polarization features based on a principal component analysis to select the segments applied for the inversion. A linearized iterative inversion analysis for the selected Love wave segments filtered at period of every 1 s allows a detailed estimation of boundary shapes of interfaces over the seismic bedrock with an S-wave velocity of approximately 3 km/s. We demonstrate the technique’s effectiveness with applications to observed seismograms in the Kanto plain, Japan. Differences between the estimated and existing structural models are remarkable at basin edges. A regional variation of the near-surface S-wave velocities in our model is similar to a distribution of surface geological classifications. Since a subsurface structure at a basin edge strongly affects earthquake ground motions in a basin with generations of surface waves, our method can provide a detail model of a complex S-wave velocity structure at an edge part for a strong ground motion prediction.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. However, the manuscript can be downloaded and accessed as a PDF.