InterPACIFIC project: Comparison of invasive and non-invasive methods for seismic site characterization. Part I: Intra-comparison of surface wave methods

Garofalo, Flora; Foti, Sebastiano; Hollender, Fabrice; Bard, Pierre‐Yves; Cornou, Cécile; Cox, Brady R.; Ohrnberger, Matthias; Sicilia, D.; Asten, Michael; Giulio, Giuseppe Di; Forbriger, Thomas; Guillier, Bertrand; Hayashi, Koichi; Martin, Antony; Matsushima, Shinichi; Mercerat, Diego; Poggi, Valerio; Yamanaka, Hiroaki

doi:10.1016/j.soildyn.2015.12.010

Cited by 166 publications

(85 citation statements)

References 76 publications

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“…Moreover, sharp narrow spectral peaks may indicate the presence of electromagnetic disturbances or machinery generated noise (see also the SESAME guidelines, SESAME Team 2004). Figure 13 shows an analysis of power spectral density of the three sites investigated within the framework of the InterPacific project (Garofalo et al 2016a, b), compared to the NHNM, NLNM and theoretical self-noise of the sensor used in the passive surveys. One can see that around 3 Hz the Cadarache site has a power spectral density 4 orders of magnitude lower in comparison with the Mirandola site.…”

Section: Signal Quality Controlmentioning

confidence: 99%

“…Feedback from InterPacific project Although no international consensus have yet been reached on the best way to estimate uncertainties for active surface wave analysis, the feedback from several international blind analysis projects (among them the InterPacific one, see Garofalo et al 2016a) shows that, within the reliable wavelength band, interanalyst uncertainties, estimated in terms of Coefficient of Variarion (COV), on the average phase velocity range from 5 to 10% depending on the sites (Fig. 27).…”

Section: Active Measurementsmentioning

confidence: 99%

“…These comments are partly based on the learnings from the InterPacific project (Garofalo et al 2016a, b).…”

Section: Advantages and Disadvantages Of Each Type Of Inversionmentioning

confidence: 99%

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Guidelines for the good practice of surface wave analysis: a product of the InterPACIFIC project

Foti

Hollender

Garofalo

et al. 2017

Bull Earthquake Eng

414

202

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Surface wave methods gained in the past decades a primary role in many seismic projects. Specifically, they are often used to retrieve a 1D shear wave velocity model or to estimate the V S,30 at a site. The complexity of the interpretation process and the variety of possible approaches to surface wave analysis make it very hard to set a fixed standard to assure quality and reliability of the results. The present guidelines provide practical Electronic supplementary material The online version of this article

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Section: Signal Quality Controlmentioning

confidence: 99%

Section: Active Measurementsmentioning

confidence: 99%

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Guidelines for the good practice of surface wave analysis: a product of the InterPACIFIC project

Foti

Hollender

Garofalo

et al. 2017

Bull Earthquake Eng

414

202

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“…Indeed, some studies have shown that this value is a good proxy of the V S30 (Martin and Diehl 2004;Albarello and Gargani 2010). For some sites where the dispersion curves were not strictly available at 40 m, we slightly extrapolated (or interpolated) dispersion curves to get the standard deviation at 40 m. The third option was to apply a 'minimum' fixed coefficient of variation based on the InterPacific project feedback (Garofalo et al 2016b) for the variability between the various analysts on the 'best' V S estimates. This minimum coefficient of variation was set at 10% when the R0 dispersion curve was available at k = 40 m, and was set at 20% when it was not available (this was often the case when only the MASW experiments were usable).…”

Section: Inversion and Derivation Of Velocity Profilesmentioning

confidence: 99%

“…Even if the capabilities of these methods have been debated for a long time, they provide good estimates when implemented with care, as demonstrated within the InterPacific project (Garofalo et al 2016a, b;Foti et al 2017). In particular, Garofalo et al (2016b) outlined that V S30 can be equally well estimated using 'noninvasive' approaches (e.g., surface-wave-based methods) and 'invasive' approaches (e.g., cross-holes, down-holes). However, Garofalo et al (2016a) also showed that noninvasive methods are less accurate for locating a given lithological interface, low velocity layers or bedrock depth.…”

Section: Introductionmentioning

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

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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)

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Geometry and evolution of a fault‐controlled Quaternary basin by means of TDEM and single‐station ambient vibration surveys: The example of the 2009 L'Aquila earthquake area, central Italy

et al. 2017

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We applied a joint survey approach integrating time domain electromagnetic soundings and single‐station ambient vibration surveys in the Middle Aterno Valley (MAV), an intermontane basin in central Italy and the locus of the 2009 L'Aquila earthquake. By imaging the buried interface between the infilling deposits and the top of the pre‐Quaternary bedrock, we reveal the 3‐D basin geometry and gain insights into the long‐term basin evolution. We reconstruct a complex subsurface architecture, characterized by three main depocenters separated by thresholds. Basin infill thickness varies from ~200–300 m in the north to more than 450 m to the southeast. Our subsurface model indicates a strong structural control on the architecture of the basin and highlights that the MAV experienced considerable modifications in its configuration over time. The buried shape of the MAV suggests a recent and still ongoing predominant tectonic control by the NW‐SE trending Paganica‐San Demetrio Fault System (PSDFS), which crosscuts older ~ENE and NNE trending extensional faults. Furthermore, we postulate that the present‐day arrangement of the PSDFS is the result of the linkage of two previously isolated fault segments. We provide constraints on the location of the southeastern boundary of the PSDFS, defining an overall ~19 km long fault system characterized by a considerable seismogenetic potential and a maximum expected magnitude larger than M 6.5. This study emphasizes the benefit of combining two easily deployable geophysical methods for reconstructing the 3‐D geometry of a tectonically controlled basin. Our joint approach provided us with a consistent match between these two independent estimations of the basin substratum depth within 15%.

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InterPACIFIC project: Comparison of invasive and non-invasive methods for seismic site characterization. Part I: Intra-comparison of surface wave methods

Abstract: International audienc

Cited by 166 publications

References 76 publications

Guidelines for the good practice of surface wave analysis: a product of the InterPACIFIC project

Guidelines for the good practice of surface wave analysis: a product of the InterPACIFIC project

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

Geometry and evolution of a fault‐controlled Quaternary basin by means of TDEM and single‐station ambient vibration surveys: The example of the 2009 L'Aquila earthquake area, central Italy

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