The Western Bohemia uppermost crust shear wave velocities from Love wave dispersion

Kolínský, Petr; Brokešová, Johana

doi:10.1007/s10950-006-9040-0

Cited by 18 publications

(14 citation statements)

References 24 publications

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“…Such a group velocity dispersion curve is considered as reliable and filter-independent. For details of this approach see Kolínský (2004); Kolínský and Brokešová (2007) and Kolínský et al (2011).…”

Section: Group Velocity Measurementmentioning

confidence: 99%

Seismic waves velocities inferred from the surface waves dispersion in the Male Karpaty Mountains, Slovakia

Lukesova¹

2019

Acta Geodynamica Et Geomaterialia

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The study area of Western Carpathians belongs to one of the most seismically active regions in Slovakia, where the available velocity models are not precise enough for accurate location and determination of focal mechanism. To improve the uppermost part of the currently used models, seismic surface wave data from two blasts in the quarry Rohožník, recorded at the MKnet local seismic network, were analyzed. Group velocity dispersion curves of Rayleigh and Love waves were determined by the frequency-time analysis. A mean group velocity dispersion curve for Love and Rayleigh waves for the central part of the MKnet network was settled and consequently joint inversion, for the period range 0.9-2.7 s, was performed to obtain a 1-D velocity model using the isometric method. The 11-layered model extends to depth of 2.5 km and indicate increase of the velocities from the surface down to the depths of 0.9 km. Then, velocities slightly decrease. The minimum of the low-velocity zone is at the depth of 1.8 km after which the velocities moderately increase to the velocity of the halfspace with v P = 5.35 km/s and v S = 2.96 km/s.

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Section: Group Velocity Measurementmentioning

confidence: 99%

Seismic waves velocities inferred from the surface waves dispersion in the Male Karpaty Mountains, Slovakia

Lukesova¹

2019

Acta Geodynamica Et Geomaterialia

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“…For the inversion of the phase velocity dispersion curves, the method described by Kolínský and Brokešova () and by Kolinský et al . () is used.…”

Section: Inversion Of Dispersion Curvesmentioning

confidence: 99%

“…The dispersion curve inversion is non‐unique: nearly the same dispersion curve can be obtained by propagation through different 1‐D velocity models. Since the generation of models in the IM is random, the non‐uniqueness causes slightly different results of inversion even for the same input data and for the same starting model, see, for example, Kolínský and Brokešova (). To avoid the disturbances caused by this non‐uniqueness, the inversion run 60 times for each problem with the same input parameters.…”

Section: Inversion Of Dispersion Curvesmentioning

confidence: 99%

See 1 more Smart Citation

Combining surface waves and common methods for shallow geophysical survey

Gaždová

Kolínský

Vilhelm

et al. 2014

Near Surface Geophysics

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Geophysical data were acquired during a survey of the Hluboká Fault in the Czech Republic, Central Europe. The recorded surface waves are studied in the frequency range 8‐200 Hz. Phase velocity dispersion curves of Rayleigh and Love waves are determined from pairs of three‐component seismograms with a 5 m receiver spacing by means of a frequency‐time analysis along the profile. Rayleigh waves are analysed on the vertical (Z) and radial (R) components and Love waves on the transversal (T) component. Dispersion curves from the vertical component are then inverted to 1‐D S‐wave velocity models using the isometric method. A set of 1‐D S‐wave velocity models representing a pseudo 2‐D S‐wave velocity distribution along the profile is obtained. This velocity distribution is compared with the results of other geophysical methods and also with direct observation from a shallow paleoseismic trenching. A combination of the S‐wave velocities obtained from the surface wave analysis and P‐wave velocities from refraction tomography is used to estimate the Poisson ratio distribution. It is shown that the resolution capabilities of surface waves are comparable in this case with electric resistivity tomography in near surface medium and with P‐wave tomography in the depths exceeding approx. 15 metres.

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“…It has turned out, that the performance and reliability of IM is high and that its applicability may be much broader with respect to original expectations. Up to now, IM has been successfully used for simultaneous optimization of the velocity model and seismic hypocenter localization (Málek, 1998), estimation of the seismic anisotropy (Málek, 2005), inversion of surface waves dispersion curves (Kolínský and Brokešová, 2007) and for computing the optimum seismic velocity model from earthquake data .…”

Section: Introductionmentioning

confidence: 99%

Isometric method: Efficient tool for solving non-linear inverse problems

2007

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A novel algorithm called Isometric Method (IM) for solving smooth real-valued nonlinear inverse problems has been developed. Model and data spaces are represented by using m + 1 corresponding vectors at a time (m is the dimension of model space). Relations among vectors in the data space are set up and then transferred into the model space thus generating a new model. If the problem is truly linear, this new model is the exact solution of the inverse problem.If the problem is non-linear, the whole procedure has to be repeated iteratively. The basic underlying idea of IM is to postulate the distance in the model space in such a way that the model and data spaces are isometric, i.e. distances in both spaces have the same measure. As all model-data vector pairs are used many times in successive iterations, the number of the forward problem computations is minimized. There is no necessity to deal with derivatives. The requirement for the computer memory is low. IM is suitable especially for solving smooth medium non-linear problems when forward modelling is time-consuming and minimizing the number of function evaluations is topical. Applications of IM on synthetic and real geophysical problems are also presented.K e y w o r d s : non-linear inversion, optimization, isometric algorithm

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The Western Bohemia uppermost crust shear wave velocities from Love wave dispersion

Cited by 18 publications

References 24 publications

Seismic waves velocities inferred from the surface waves dispersion in the Male Karpaty Mountains, Slovakia

Seismic waves velocities inferred from the surface waves dispersion in the Male Karpaty Mountains, Slovakia

Combining surface waves and common methods for shallow geophysical survey

Isometric method: Efficient tool for solving non-linear inverse problems

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