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@ARTICLE{vanderKruk:21748,
author = {van der Kruk, J. and Diamanti, N. and Giannopoulos, A. and
Vereecken, H.},
title = {{I}nversion of dispersive {GPR} pulse propagation in
waveguides with heterogeneities and rough and dipping
interfaces},
journal = {Journal of applied geophysics},
volume = {81},
issn = {0926-9851},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {PreJuSER-21748},
pages = {88 - 96},
year = {2012},
note = {Record converted from VDB: 12.11.2012},
abstract = {We investigate the influence of interface roughness,
heterogeneous media, and dipping layers on the inversion of
dispersive GPR pulse propagation in a surface waveguide,
using 3D FDTD modelling. For both broadside and endfire
source-receiver configurations, we calculated responses for
different interface roughnesses, heterogeneities in
dielectric properties, and dipping interfaces. For
increasing roughness and heterogeneity, increased
backscatter energy is visible in the data. The use of
multiple source-receiver offsets to calculate the
phase-velocity spectrum produced a relatively good
signal-to-noise ratio. For low interface roughness the
medium properties could be reasonably well reconstructed.
For the largest interface roughness, significant diffracted
energy was present and the medium properties could not be
reliably reconstructed. For models having stochastic
relative permittivity variations with a Std up to $15\%$ and
correlation lengths between 0.1 and 0.5 m, the model
parameters could still be relatively well reconstructed. For
models with a dipping interface, the shot and countershot
configuration clearly indicate lateral changes. Single-mode
inversions return a wide range of medium property values,
whereas combined TE-TM inversion return permittivity values
that are remarkable close to the epsilon(1) and epsilon(2)
values for both the shot and countershot configuration. In
general, the interface roughness and heterogeneous media
have a relative small influence on the inversion results.
This is probably due to the use of multi-offset data for
calculating the phase-velocity spectrum which is reducing
the random noise. (C) 2011 Elsevier B.V. All rights
reserved.},
keywords = {J (WoSType)},
cin = {IBG-3},
ddc = {620},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {Terrestrische Umwelt},
pid = {G:(DE-Juel1)FUEK407},
shelfmark = {Geosciences, Multidisciplinary / Mining $\&$ Mineral
Processing},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000304578900011},
doi = {10.1016/j.jappgeo.2011.09.013},
url = {https://juser.fz-juelich.de/record/21748},
}