Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Zeitschriftenartikel

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

Urheber*innen

Hayashi,  Koichi
External Organizations;

Asten,  Michael W.
External Organizations;

Stephenson,  William J.
External Organizations;

Cornou,  Cécile
External Organizations;

Hobiger,  Manuel
External Organizations;

/persons/resource/pilz

Pilz,  M.
2.6 Seismic Hazard and Risk Dynamics, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Yamanaka,  Hiroaki
External Organizations;

Externe Ressourcen
Es sind keine externen Ressourcen hinterlegt
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte in GFZpublic verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Hayashi, K., Asten, M. W., Stephenson, W. J., Cornou, C., Hobiger, M., Pilz, M., Yamanaka, H. (2022 online): Microtremor array method using spatial autocorrelation analysis of Rayleigh-wave data. - Journal of Seismology.
https://doi.org/10.1007/s10950-021-10051-y


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5011357
Zusammenfassung
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.