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

Hayashi, Koichi; Asten, Michael W.; Stephenson, William J.; Cornou, Cécile; Hobiger, Manuel; Pilz, M.; Yamanaka, Hiroaki

doi:10.1007/s10950-021-10051-y

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

Authors

Hayashi, Koichi
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Asten, Michael W.
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Stephenson, William J.
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Cornou, Cécile
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Hobiger, Manuel
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Pilz, M.
2.6 Seismic Hazard and Risk Dynamics, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Yamanaka, Hiroaki
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Citation

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

Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5011357

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.