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  Microtremor array method using spatial autocorrelation analysis of Rayleigh-wave data

Hayashi, K., Asten, M. W., Stephenson, W. J., Cornou, C., Hobiger, M., Pilz, M., Yamanaka, H. (2022): Microtremor array method using spatial autocorrelation analysis of Rayleigh-wave data. - Journal of Seismology, 26, 601-627.
https://doi.org/10.1007/s10950-021-10051-y

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 Creators:
Hayashi, Koichi1, Author
Asten, Michael W.1, Author
Stephenson, William J.1, Author
Cornou, Cécile1, Author
Hobiger, Manuel1, Author
Pilz, M.2, Author              
Yamanaka, Hiroaki1, Author
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1External Organizations, ou_persistent22              
22.6 Seismic Hazard and Risk Dynamics, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146032              

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 Abstract: Microtremor array measurements, and passive surface wave methods in general, have been increasingly used to non-invasively estimate shear-wave velocity structures for various purposes. The methods estimate dispersion curves and invert them for retrieving S-wave velocity profiles. This paper summarizes principles, limitations, data collection, and processing methods. It intends to enable students and practitioners to understand the principles needed to plan a microtremor array investigation, record and process the data, and evaluate the quality of investigation result. The paper focuses on the spatial autocorrelation processing method among microtremor array processing methods because of its relatively simple calculation and stable applicability.

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Language(s): eng - English
 Dates: 2022-04-192022
 Publication Status: Finally published
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1007/s10950-021-10051-y
GFZPOF: p4 T3 Restless Earth
OATYPE: Hybrid Open Access
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Title: Journal of Seismology
Source Genre: Journal, SCI, Scopus
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Pages: - Volume / Issue: 26 Sequence Number: - Start / End Page: 601 - 627 Identifier: CoNE: https://gfzpublic.gfz-potsdam.de/cone/journals/resource/journals303
Publisher: Springer Nature