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

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

doi:10.1007/s10950-021-10051-y

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

Journal of Seismology

By: Koichi Hayashi, Michael W. Asten, William J. Stephenson, Cécile Cornou, Manuel Hobiger, Marco Pilz, and Hiroaki Yamanaka

https://doi.org/10.1007/s10950-021-10051-y

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Abstract

Microtremor array measurements (MAM) and passive surface wave methods in general, have been increasingly used to non-invasively estimate shear-wave velocity structures (Vs) 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 (SPAC) processing method among microtremor array processing methods because of its relatively simple calculation and stable applicability.

Additional publication details
Publication type	Article
Publication Subtype	Journal Article
Title	Microtremor array method using spatial autocorrelation analysis of Rayleigh‑wave data
Series title	Journal of Seismology
DOI	10.1007/s10950-021-10051-y
Year Published	2022
Language	English
Publisher	Springer
Contributing office(s)	Geologic Hazards Science Center
Description	27 p.
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