Assessing the reliability of the modified three-component spatial autocorrelation technique

Köhler, Andreas; Ohrnberger, Matthias; Scherbaum, Frank; Wathelet, Marc; Cornou, Cécile

doi:10.1111/j.1365-246x.2006.03253.x

Cited by 94 publications

(64 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The seismic ambient vibrations recorded by the AVA arrays were systematically processed by using: (1) the frequency-wavenumber (FK) (Neidell and Taner 1971; Douze and Laster 1979; McMechan and Yedlin 1981); (2) the high-resolution frequency-wavenumber (HRFK) (Capon 1969); and (3) the modified spatial autocorrelation (MSPAC) method (Bettig et al 2001;Köhler et al 2007). Dispersion curves were then extracted for each array and each processing method.…”

Section: Dispersion Curvesmentioning

confidence: 99%

Characterization of site conditions (soil class, VS30, velocity profiles) for 33 stations from the French permanent accelerometric network (RAP) using surface-wave methods

Hollender

Cornou

Dechamp

et al. 2017

Bull Earthquake Eng

Self Cite

View full text Add to dashboard Cite

Data provided by accelerometric networks are important for seismic hazard assessment. The correct use of accelerometric signals is conditioned by the station site metadata quality (i.e., soil class, V S30 , velocity profiles, and other relevant information that can help to quantify site effects). In France, the permanent accelerometric network consists of about 150 stations. Thirty-three of these stations in the southern half of France have been characterized, using surface-wave-based methods that allow derivation of velocity profiles from dispersion curves of surface waves. The computation of dispersion curves and their subsequent inversion in terms of shear-wave velocity profiles has allowed estimation of V S30 values and designation of soil classes, which include the corresponding uncertainties. From a methodological point of view, this survey leads to the following recommendations: (1)

show abstract

Section: Dispersion Curvesmentioning

confidence: 99%

Characterization of site conditions (soil class, VS30, velocity profiles) for 33 stations from the French permanent accelerometric network (RAP) using surface-wave methods

Hollender

Cornou

Dechamp

et al. 2017

Bull Earthquake Eng

Self Cite

View full text Add to dashboard Cite

show abstract

“…Satoh et al [2001b], , , Kind et al [2005]), although some attempts were made to use Love waves as well (e.g. Chouet et al [1998], Okada [2003], Köhler et al [2007]). Data processing for obtaining V s profile from noise array measurements is divided into two main steps: deriving a spectral curve characteristic of the propagating waves (namely, a dispersion curve or auto-correlation curves), and inverting this curve to retrieve the soil structure.…”

Section: Introductionmentioning

confidence: 99%

Array performances for ambient vibrations on a shallow structure and consequences over V s inversion

et al. 2007

Self Cite

View full text Add to dashboard Cite

“…Ohori et al 2002;Cho et al 2004Cho et al , 2006aChávez-García et al 2005;Asten 2005, 2007;Wathelet et al 2005Wathelet et al , 2008Tada et al 2006;Köhler et al 2007;Fäh et al 2008;García-Jerez et al 2008;Gouédard et al 2008;Morikawa and Udagawa 2009). The appeal of these methods is due to several properties: their nondestructiveness, for example in comparison to borehole measurements; their ease of use and cost-effectiveness (e.g.…”

Section: Introductionmentioning

confidence: 98%

“…In practice, though, ambient vibration measurements may contain a varying amount of other wave types, i.e. body waves, higher modes, and Love waves (Bonnefoy-Claudet et al 2006a;Bonnefoy-Claudet et al 2008;Köhler et al 2007). Guillier et al (2007) observe stable frequencies and amplitudes only for the fundamental H/V peaks, which are located below 1 Hz for the three sites they investigate.…”

Section: Introductionmentioning

confidence: 98%

On the repeatability and consistency of three-component ambient vibration array measurements

Endrun

Ohrnberger

Savvaidis

2009

Bull Earthquake Eng

Self Cite

View full text Add to dashboard Cite

Ambient vibration measurements with small, temporary arrays that produce estimates of surface wave dispersion have become increasingly popular as a low-cost, noninvasive tool for site characterisation. An important requirement for these measurements to be meaningful, however, is the temporal consistency and repeatability of the resulting dispersion and spatial autocorrelation curve estimates. Data acquired within several European research projects (NERIES task JRA4, SESAME, and other multinational experiments) offer the chance to investigate the variability of the derived data products. The dataset analysed here consists of repeated array measurements, with several years of time elapsed between them. The measurements were conducted by different groups in different seasons, using different instrumentations and array layouts, at six sites in Greece and Italy. Ambient vibration amplitude spectra and locations of dominant sources vary between the two measurements at each location. Still, analysis indicates that this does not influence the derived dispersion information, which is stable in time and neither influenced by the instrumentation nor the analyst. The frequency range over which the dispersion curves and spatial autocorrelation curves can be reliably estimated depends on the array dimensions (minimum and maximum aperture) used in the specific deployment, though, and may accordingly vary between the repeated experiments. The relative contribution of Rayleigh and Love waves to the wavefield can likewise change between repeated measurements. The observed relative contribution of Rayleigh waves is generally at or below 50%, with especially low values for the rural sites. Besides, the visibility of higher modes depends on the noise wavefield conditions. The similarity of the dispersion and autocorrelation curves measured at each site indicates B. Endrun (B) · M. Ohrnberger 123 536 Bull Earthquake Eng (2010) 8:535-570 that the curves are stable, mainly determined by the sub-surface structure, and can thus be used to derive velocity information with depth. Differences between velocity models for the same site derived from independently determined dispersion and autocorrelation curves-as observed in other studies-are consequently not adequately explained by uncertainties in the measurement part.

show abstract

Assessing the reliability of the modified three-component spatial autocorrelation technique

Abstract: International audienc

Cited by 94 publications

References 30 publications

Characterization of site conditions (soil class, VS30, velocity profiles) for 33 stations from the French permanent accelerometric network (RAP) using surface-wave methods

Characterization of site conditions (soil class, VS30, velocity profiles) for 33 stations from the French permanent accelerometric network (RAP) using surface-wave methods

Array performances for ambient vibrations on a shallow structure and consequences over V s inversion

On the repeatability and consistency of three-component ambient vibration array measurements

Contact Info

Product

Resources

About