Article Dans Une Revue Journal of Seismology Année : 2022

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

Koichi Hayashi
Michael Asten
William Stephenson
Manuel Hobiger
Marco Pilz
Hiroaki Yamanaka

Résumé

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. Highlights 1. A summary of fundamental principles of calculating phase velocity from ambient noise 2. General recommendations for MAM data collection and processing using SPAC methods 3. A discussion of limitations and uncertainties in the methods

Dates et versions

hal-04973864 , version 1 (03-03-2025)

Identifiants

Citer

Koichi Hayashi, Michael Asten, William Stephenson, Cécile Cornou, Manuel Hobiger, et al.. Microtremor array method using spatial autocorrelation analysis of Rayleigh-wave data. Journal of Seismology, 2022, 26 (4), pp.601-627. ⟨10.1007/s10950-021-10051-y⟩. ⟨hal-04973864⟩

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