Dispersion Energy Analysis of Rayleigh and Love Waves in the Presence of Low-Velocity Layers in Near-Surface Seismic Surveys

Mi, Binbin; Xia, Jianghai; Shen, Chao; Wang, Limin

doi:10.1007/s10712-017-9440-4

Cited by 50 publications

(6 citation statements)

References 92 publications

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“…9 shows an inverse trend of the dispersion curve and thus is in disagreement with the measuring results. Several reasons for this discrepancy are possible; according to Mi et al (2018), energy produced due to guided waves in a low-velocity layer can disturb the dispersion curve. In addition, the influence of potential lateral heterogeneities on the dispersion curve has not Fig.…”

Section: Site E1mentioning

confidence: 99%

Combined use of refraction seismic, MASW, and ambient noise array measurements to determine the near-surface velocity structure in the Selinunte Archaeological Park, SW Sicily

et al. 2020

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Seismic refraction, multichannel analysis of surface waves (MASW) and ambient noise array measurements using the wireless array analysis (WARAN) system were applied to acquire near-surface profiles of seismic velocities in the Selinunte Archaeological Park. This ancient city is famous for numerous temples, which according to the literature, were destroyed by at least two earthquakes in antiquity. The morphology of the archeological park is affected by two rivers which in combination with the temple remains suggests three study sites. We determined the subsurface velocity at these three locations as essential information for further studies of the response of the temple structures to earthquake ground motions. The stratigraphy of the site indicates that low-velocity layers might exist. Seismic refraction profiles with 69 m spread and 24 geophones were employed during the active seismic experiments. The measured P-wave velocities of the top two layers were used as a constraint during the inversion of dispersion relations from the MASW and WARAN data. The reliability of the velocity profiles was tested by forward calculation of synthetic seismograms. P-wave velocities which were not well constraint throughout the dispersion curve inversions were adjusted through suitable Poisson's ratios based on the well constraint S-velocities. The combined use of the three different kinds of measurements and multi-mode interpretation of the dispersion curves revealed velocity profiles including lowvelocity layers which are supported by de-amplification observed in ratios of horizontal and vertical components of noise spectra.

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Section: Site E1mentioning

confidence: 99%

Combined use of refraction seismic, MASW, and ambient noise array measurements to determine the near-surface velocity structure in the Selinunte Archaeological Park, SW Sicily

et al. 2020

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“…It may not only result in misidentification of Rayleigh‐wave modes (Zhang and Chan ), but also produce incorrect velocity structures in shallow layers, especially when the vertical component is used alone and the near‐surface model embed a low S‐wave velocity layer (Mi et al . ). Corresponding to the experimental dispersion curves, the apparent phase velocity, which comes from interference among multiple modes, is usually used to study the multi‐mode superposition of Rayleigh waves (e.g., Tokimatsu, Tamura and Kojima ; Lai et al .…”

Section: Introductionmentioning

confidence: 97%

“…; Mi et al . ). It is important to develop studies on mode jumping for multi‐component Rayleigh waves.…”

Section: Introductionmentioning

confidence: 97%

Rayleigh‐wave dispersion analysis using complex‐vector seismic data

Qiu

Wang

2019

Near Surface Geophysics

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A B S T R A C TIdentification of different modes of Rayleigh waves is essential in surface-wave surveys. Multi-mode Rayleigh waves can provide higher accuracy of the near-surface structure than the fundamental mode alone. However, some modes or frequencies of Rayleigh waves may be absent in the vertical-component seismic data. To complement the dispersion information, a method based on complex-vector seismic data is proposed. We construct the complex vector by setting the radial component and vertical component as the real part and imaginary part, respectively. Then, high-resolution linear Radon transform is used to obtain the multi-mode Rayleighwave dispersion image of the complex-vector seismic data. Based on different dispersion characteristics of the radial and vertical components, the dispersion images of the complex-vector seismic data show better performance against interferences and mode misidentification. Synthetic and field examples demonstrate advantages of the complex-vector method over the traditional vertical-component method in spectral bands and dispersion curve mode identification. Therefore, a more robust and accurate near-surface S-wave velocity structure can be expected compared to the traditional vertical-component Rayleigh-wave method.

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“…Due to the 1D layered model and the plane wave assumptions involved in the forward calculation of surface-wave dispersion curves, however, methods based on dispersion curves fail to work when strong lateral heterogeneity exists, which is regarded as one of the limitations in MASW. Another problem faced with MASW is the difficulty in the correct estimation and identification of multimodal dispersion curves (Zhang and Chan 2003;Boaga et al 2013;Gao et al 2014), especially when encountering low-velocity layers (Tsuji et al 2012;Pan et al 2013a;Mi et al 2018), strong vertical contrasts (De Nil 2005;Renalier et al 2010;Gao et al 2016), and a non-planar free surface Wang et al 2015).…”

Section: Introductionmentioning

confidence: 99%

High-Resolution Characterization of Near-Surface Structures by Surface-Wave Inversions: From Dispersion Curve to Full Waveform

2019

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Surface waves are widely used in near-surface geophysics and provide a non-invasive way to determine near-surface structures. By extracting and inverting dispersion curves to obtain local 1D S-wave velocity profiles, multichannel analysis of surface waves (MASW) has been proven as an efficient way to analyze shallow-seismic surface waves. By directly inverting the observed waveforms, full-waveform inversion (FWI) provides another feasible way to use surface waves in reconstructing near-surface structures. This paper provides a state of the art on MASW and shallow-seismic FWI, and a comparison of both methods. A two-parameter numerical test is performed to analyze the nonlinearity of MASW and FWI, including the classical, the multiscale, the envelope-based, and the amplitude-spectrum-based FWI approaches. A checkerboard model is used to compare the resolution of MASW and FWI. These numerical examples show that classical FWI has the highest nonlinearity and resolution among these methods, while MASW has the lowest nonlinearity and resolution. The modified FWI approaches have an intermediate nonlinearity and resolution between classical FWI and MASW. These features suggest that a sequential application of MASW and FWI could provide an efficient hierarchical way to delineate near-surface structures. We apply the sequential-inversion strategy to two field data sets acquired in Olathe, Kansas, USA, and Rheinstetten, Germany, respectively. We build a 1D initial model by using MASW and then apply the multiscale FWI to the data. High-resolution 2D S-wave velocity images are obtained in both cases, whose reliabilities are proven by borehole data and a GPR profile, respectively. It demonstrates the effectiveness of combining MASW and FWI for high-resolution imaging of near-surface structures.

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Dispersion Energy Analysis of Rayleigh and Love Waves in the Presence of Low-Velocity Layers in Near-Surface Seismic Surveys

Cited by 50 publications

References 92 publications

Combined use of refraction seismic, MASW, and ambient noise array measurements to determine the near-surface velocity structure in the Selinunte Archaeological Park, SW Sicily

Combined use of refraction seismic, MASW, and ambient noise array measurements to determine the near-surface velocity structure in the Selinunte Archaeological Park, SW Sicily

Rayleigh‐wave dispersion analysis using complex‐vector seismic data

High-Resolution Characterization of Near-Surface Structures by Surface-Wave Inversions: From Dispersion Curve to Full Waveform

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