Shallow geology characterization using Rayleigh and Love wave dispersion curves derived from seismic noise array measurements

Boxberger, Tobias; Picozzi, Matteo; Parolai, Stefano

doi:10.1016/j.jappgeo.2011.06.032

Cited by 45 publications

(20 citation statements)

References 19 publications

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“…Based thereon, efforts are made to (1) improve and further test the method proposed by Parolai (2014) in combination with the approach of Boxberger et al (2011) that aimed at better constraining the subsoil structure by the joint inversion of Rayleigh, Love dispersion and horizontal-to-vertical spectral ratio curves, (2) to evaluate, based on a data set of homogeneously estimated quality factors, if a possible link between velocity and Q s variation might exist which would allow the damping factor to be estimated at sites where only velocity values are available and (3) if yes, to the previous point, to investigate the physical reason behind such a link.…”

Section: Assessment Of V S and Q S From Seismic Noisementioning

confidence: 99%

“…In particular, the latter method, based on recordings of seismic noise (see, e.g. Aki 1957;Okada 2003;Parolai et al 2005;Boxberger et al 2011;Foti et al 2011), has several advantages over conventional methods as it does not require the use of artificial sources or the drilling of boreholes, both of which are expensive and cost effective only for restricted investigation depths (a few tens of metres), and difficult to carry out in urban or environmentally sensitive areas.…”

Section: Introductionmentioning

confidence: 99%

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Shear wave velocity versus quality factor: results from seismic noise recordings

Boxberger¹,

Pilz²,

Parolai

2017

Geophysical Journal International

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S U M M A R YThe assessment of the shear wave velocity (v s ) and shear wave quality factor (Q s ) for the shallow structure below a site is necessary to characterize its site response. In the past, methods based on the analysis of seismic noise have been shown to be very efficient for providing a sufficiently accurate estimation of the v s versus depth at reasonable costs for engineering seismology purposes. In addition, a slight modification of the same method has proved to be able to provide realistic Q s versus depth estimates. In this study, data sets of seismic noise recorded by microarrays of seismic stations in different geological environments of Europe and Central Asia are used to calculate both v s and Q s versus depth profiles. Analogous to the generally adopted approach in seismic hazard assessment for mapping the average shear wave velocity in the uppermost 30 m (v s30 ) as a proxy of the site response, this approach was also applied to the quality factor within the uppermost 30 m (Q s30 ). A slightly inverse correlation between both parameters is found based on a methodological consistent determination for different sites. Consequently, a combined assessment of v s and Q s by seismic noise analysis has the potential to provide a more comprehensive description of the geological structure below a site.

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Section: Assessment Of V S and Q S From Seismic Noisementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Shear wave velocity versus quality factor: results from seismic noise recordings

Boxberger¹,

Pilz²,

Parolai

2017

Geophysical Journal International

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show abstract

“…However, Métaxian et al (1997), Tokimatsu (1997), Chouet et al (1998) and Saccorotti et al (2003) found evidences for a dominance of Love waves in high-frequency seismic noise data and signals of volcanic tremor. Therefore, the complementary information of Rayleigh and Love waves can allow a simultaneous inversion of their phase velocities to study the shallow structure of the Earth (Lee & Solomon 1979;Köhler et al 2007), thereby reducing the degree of nonuniqueness of an inverted S-wave velocity model (Boxberger et al 2011).…”

Section: Rayleigh and Love Waves 3-d Imagingmentioning

confidence: 99%

A 3D algorithm based on the combined inversion of Rayleigh and Love waves for imaging and monitoring of shallow structures

2017

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S U M M A R YIn recent years, there has been increasing interest in the study of seismic noise interferometry as it can provide a complementary approach to active source or earthquake-based methods for imaging and continuous monitoring the shallow structure of the Earth. This meaningful information is extracted from wavefields propagating between those receiver positions at which seismic noise was recorded. Until recently, noise-based imaging relied mostly on Rayleigh waves. However, considering similar wavelengths, a combined use of Rayleigh and Love wave tomography can succeed in retrieving velocity heterogeneities at depth due to their different sensitivity kernels. Here, we present a novel one-step algorithm for simultaneously inverting Rayleigh and Love wave dispersion data aiming at identifying and describing complex 3-D velocity structures. The algorithm may help to accurately and efficiently map the shear wave velocities and the Poisson ratio of the surficial soil layers. In the high-frequency range, the scattered part of the correlation functions stabilizes sufficiently fast to provide a reliable estimate of the velocity structure not only for imaging purposes but also allows for changes in the medium properties to be monitored. Such monitoring can be achieved with a high spatial resolution in 3-D and with a time resolution as small as a few hours. In this paper, we describe a recent array experiment in a volcanic environment in Solfatara (Italy) and we show that this novel approach has identified strong velocity variations at the interface between liquids and gas-dominated reservoirs, allowing localizing a region which is highly dynamic due to the interaction between the deep convection and its surroundings.

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“…5 Asten et al, 2004), cross-shaped (Ohori et al, 2002;Asten et al, 2004), T-shaped (Parolai et al, 2007;Picozzi et al, 2010), L-shaped (Horike, 1985) and irregulargeometry (Parolai et al, 2006(Parolai et al, , 2007Picozzi et al, 2009;Endrun et al, 2010;Boxberger et al, 2011).…”

Section: Accepted M Manuscriptmentioning

confidence: 99%

Optimizing the number of stations in arrays measurements: Experimental outcomes for different array geometries and the f–k method

Rosa-Cintas¹,

Galiana-Merino²,

Alfaro³

et al. 2014

Journal of Applied Geophysics

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Shallow geology characterization using Rayleigh and Love wave dispersion curves derived from seismic noise array measurements

Cited by 45 publications

References 19 publications

Shear wave velocity versus quality factor: results from seismic noise recordings

Shear wave velocity versus quality factor: results from seismic noise recordings

A 3D algorithm based on the combined inversion of Rayleigh and Love waves for imaging and monitoring of shallow structures

Optimizing the number of stations in arrays measurements: Experimental outcomes for different array geometries and the f–k method

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