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

• DOI: 10.1007/s10950-021-10051-y
• Publication Date: 2022-04-19T08:02:46Z
• Authors: Koichi Hayashi; Michael W. Asten; William J. Stephe...; Cécile Cornou; Manuel Hobiger; Marco Pilz; Hiroaki Yamanaka
• Keywords: Microtremor; Rayleigh Wave; Data Processing; Wave velocity

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 dispersion curves invert them retrieving S-wave profiles. This paper summarizes principles, limitations, data collection, processing methods. It intends enable students practitioners understand the principles needed plan a microtremor investigation, record process data, evaluate quality of investigation result. focuses on spatial autocorrelation method among because its relatively simple calculation stable applicability. Highlights 1. A summary fundamental calculating phase from ambient noise 2. General recommendations MAM collection using SPAC 3. discussion limitations uncertainties