Bedrock mapping in shallow environments using surface-wave analysis

Boiero, Daniele; Socco, Laura; Stocco, Stefano; Wisén, Roger

doi:10.1190/tle32060664.1

Cited by 13 publications

(12 citation statements)

References 6 publications

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“…However, an identical layering is required for and in order to interpret ( Fig. 8) in order to control the lateral coherence of mode identification (Strobbia et al 2011;Haney and Douma 2012;Boiero et al 2013a;Ezersky et al 2013). The fundamental mode pseudosection (Fig.…”

Section: Surface-wave Profiling Extraction Of Dispersion Curvesmentioning

confidence: 99%

2D characterization of near‐surface : surface‐wave dispersion inversion versus refraction tomography

Pasquet

Bodet

Longuevergne

et al. 2015

Near Surface Geophysics

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International audienceThe joint study of pressure (P-) and shear (S-) wave velocities (Vp and Vs ), as well as their ratio (Vp /Vs), has been used for many years at large scales but remains marginal in near-surface applications. For these applications, and are generally retrieved with seismic refraction tomography combining P and SH (shear-horizontal) waves, thus requiring two separate acquisitions. Surface-wave prospecting methods are proposed here as an alternative to SH-wave tomography in order to retrieve pseudo-2D Vs sections from typical P-wave shot gathers and assess the applicability of combined P-wave refraction tomography and surface-wave dispersion analysis to estimate Vp/Vs ratio. We carried out a simultaneous P- and surface-wave survey on a well-characterized granite-micaschists contact at Ploemeur hydrological observatory (France), supplemented with an SH-wave acquisition along the same line in order to compare Vs results obtained from SH-wave refraction tomography and surface-wave profiling. Travel-time tomography was performed with P- and SH- wave first arrivals observed along the line to retrieve Vtomo p and Vtomo s models. Windowing and stacking techniques were then used to extract evenly spaced dispersion data from P-wave shot gathers along the line. Successive 1D Monte Carlo inversions of these dispersion data were performed using fixed Vp values extracted from Vtomo p the model and no lateral constraints between two adjacent 1D inversions. The resulting 1D Vsw s models were then assembled to create a pseudo-2D Vsw s section, which appears to be correctly matching the general features observed on the section. If the pseudo-section is characterized by strong velocity incertainties in the deepest layers, it provides a more detailed description of the lateral variations in the shallow layers. Theoretical dispersion curves were also computed along the line with both and models. While the dispersion curves computed from models provide results consistent with the coherent maxima observed on dispersion images, dispersion curves computed from models are generally not fitting the observed propagation modes at low frequency. Surface-wave analysis could therefore improve models both in terms of reliability and ability to describe lateral variations. Finally, we were able to compute / sections from both and models. The two sections present similar features, but the section obtained from shows a higher lateral resolution and is consistent with the features observed on electrical resistivity tomography, thus validating our approach for retrieving Vp/Vs ratio from combined P-wave tomography and surface-wave profiling

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Section: Surface-wave Profiling Extraction Of Dispersion Curvesmentioning

confidence: 99%

2D characterization of near‐surface : surface‐wave dispersion inversion versus refraction tomography

Pasquet

Bodet

Longuevergne

et al. 2015

Near Surface Geophysics

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“…Boiero and Socco (2010) show that the strength of the constraints can be increased up to the limit at which the model becomes oversmoothed and the data cannot be fitted. This can be assessed by monitoring the misfit trend when the constraints are increased (Boiero et al, 2013).…”

Section: Inversion Algorithmmentioning

confidence: 99%

Joint inversion of Rayleigh-wave dispersion and P-wave refraction data for laterally varying layered models

Boiero

Socco

2014

GEOPHYSICS

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We implemented a joint inversion method to build P-and S-wave velocity models from Rayleigh-wave and P-wave refraction data, specifically designed to deal with laterally varying layered environments. A priori information available over the site and any physical law to link model parameters can be also incorporated. We tested and applied the algorithm behind the method. The results from a field data set revealed advantages with respect to individual surface-wave analysis (SWA) and body wave tomography (BWT). The algorithm imposed internal consistency for all the model parameters relaxing the required a priori assumptions (i.e., Poisson's ratio level of confidence in SWA) and the inherent limitations of the two methods (i.e., velocity decreases for BWT).

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“…Then, a 2D (horizontal position versus depth) Vs model was built by means of kriging interpolation, assigning every 1D model to the midpoint of each receiver spread [40]. The resulting cross-sections are shown in Figure 7.…”

Section: Multichannel Analysis Of Surface Wavesmentioning

confidence: 99%

Joint analysis of Rayleigh-wave dispersion curves and diffuse-field HVSR for site characterization: The case of El Ejido town (SE Spain)

García‐Jerez

Seivane

Navarro

et al. 2019

Soil Dynamics and Earthquake Engineering

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The location of El Ejido town over a deep sedimentary basin in a zone of high seismicity in the Spanish context has motivated research on its seismic response characterization. To this aim, S-wave velocity models have been obtained from joint inversion of Rayleigh wave dispersion curves and full-wavefield modelling of the horizontal-to-vertical spectral ratio of ambient noise (HVSR) under the diffuse field assumption (DFA). Combination of spatial autocorrelation surveys (SPAC) with array apertures of several hundred metres and HVSRs displaying low-frequency peaks allowed to characterize deep ground features down to the Triassic bedrock. Predominant periods in the town ranged from 0.8 to 2.3 s, growing towards the SE, with few secondary peaks at higher frequencies.The shallow structure has been explored by means of geotechnical surveys, Multichannel Analysis of Surface Waves (MASW) and SPAC analysis in small-aperture arrays. Resulting models support a general classification of the ground as stiff soil.

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Bedrock mapping in shallow environments using surface-wave analysis

Cited by 13 publications

References 6 publications

2D characterization of near‐surface : surface‐wave dispersion inversion versus refraction tomography

2D characterization of near‐surface : surface‐wave dispersion inversion versus refraction tomography

Joint inversion of Rayleigh-wave dispersion and P-wave refraction data for laterally varying layered models

Joint analysis of Rayleigh-wave dispersion curves and diffuse-field HVSR for site characterization: The case of El Ejido town (SE Spain)

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