
AbstractMicrotremor 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.Highlights1. A summary of fundamental principles of calculating phase velocity from ambient noise2. General recommendations for MAM data collection and processing using SPAC methods3. A discussion of limitations and uncertainties in the methods
SPAC, Best practices, Microtremor array, Spatially averaged coherency, krSPAC, Earthquake site effects, Site characterization, MMSPAC, COSMOS guidelines, Spatial autocorrelation, COSMOS guidelines; Best practices; Site characterization; Earthquake site effects; Microtremor array; Spatial autocorrelation; Spatially averaged coherency; SPAC; MMSPAC; krSPAC
SPAC, Best practices, Microtremor array, Spatially averaged coherency, krSPAC, Earthquake site effects, Site characterization, MMSPAC, COSMOS guidelines, Spatial autocorrelation, COSMOS guidelines; Best practices; Site characterization; Earthquake site effects; Microtremor array; Spatial autocorrelation; Spatially averaged coherency; SPAC; MMSPAC; krSPAC
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
