001     49051
005     20180210134843.0
024 7 _ |2 DOI
|a 10.2113/JEEG10.3.287
024 7 _ |2 WOS
|a WOS:000232266300006
037 _ _ |a PreJuSER-49051
041 _ _ |a eng
082 _ _ |a 550
084 _ _ |2 WoS
|a Geochemistry & Geophysics
084 _ _ |2 WoS
|a Engineering, Geological
100 1 _ |a Tillmann, A.
|b 0
|u FZJ
|0 P:(DE-Juel1)VDB9304
245 _ _ |a An unsupervised wavelet transform method for simultaneous inversion of multimode surface waves
260 _ _ |a Alxandria, Va.
|b GeoScienceWorld
|c 2005
300 _ _ |a 287 - 294
336 7 _ |a Journal Article
|0 PUB:(DE-HGF)16
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336 7 _ |a Output Types/Journal article
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336 7 _ |a Journal Article
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|2 EndNote
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a article
|2 DRIVER
440 _ 0 |a Journal of Environmental and Engineering Geophysics
|x 1083-1363
|0 7541
|y 3
|v 10
500 _ _ |a Record converted from VDB: 12.11.2012
520 _ _ |a Dispersive surface waves are sensitive to the geometry of layered structures and the compressional and shear wave velocities within each layer. Therefore they can be used to estimate the structure and lithology of shallow soils. It is common practice to use the low frequency fundamental mode for inversion; thus, it is necessary to separate the single modes contained in the data interactively, which is time consuming and a source of error.The fast algorithm presented in this paper interprets all excited modes of a surface wave simultaneously and avoids the need to identify individual mode-numbers. The inversion is based on the group travel time of a Rayleigh wave, estimated from a single seismic trace by application of the Continuous Wavelet Transform (CWT). The resulting CWT distribution is fitted by a composition of wavelets determined from theoretical group-velocity dispersion relations of possible models, in connection with appropriate boundary conditions.A feasibility test on a synthetic dispersion dataset with dominant higher modes shows that the systematic inversion error associated with a fundamental-mode assumption does not arise, and both layer thicknesses and elastic properties can converge rapidly to the true values. However, two possible problems with the proposed method are the imperfect reconstruction (in this case especially at low frequencies), owing to the limited number of wavelets and theoretical modal dispersion curves used for approximation, and possible convergence to local minima, due to the increased nonlinearity of the misfit function.
536 _ _ |a Chemie und Dynamik der Geo-Biosphäre
|c U01
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|0 G:(DE-Juel1)FUEK257
|x 0
588 _ _ |a Dataset connected to Web of Science
650 _ 7 |a J
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773 _ _ |a 10.2113/JEEG10.3.287
|g Vol. 10, p. 287 - 294
|p 287 - 294
|q 10<287 - 294
|0 PERI:(DE-600)2252108-2
|t Journal of environmental & engineering geophysics
|v 10
|y 2005
|x 1083-1363
909 C O |o oai:juser.fz-juelich.de:49051
|p VDB
913 1 _ |k U01
|v Chemie und Dynamik der Geo-Biosphäre
|l Chemie und Dynamik der Geo-Biosphäre
|b Environment (Umwelt)
|0 G:(DE-Juel1)FUEK257
|x 0
914 1 _ |y 2005
915 _ _ |0 StatID:(DE-HGF)0030
|2 StatID
|a Peer review
920 1 _ |k ICG-IV
|l Agrosphäre
|d 31.12.2006
|g ICG
|0 I:(DE-Juel1)VDB50
|x 0
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980 _ _ |a I:(DE-Juel1)IBG-3-20101118
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)IBG-3-20101118


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