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@PHDTHESIS{Hoven:1032276,
author = {Hoven, Dominik},
title = {{M}ulti-dimensional {GPR} full-waveform inversion for
small-scale hydrogeophysical soil characterization},
volume = {643},
school = {RWTH Aachen University},
type = {Dissertation},
address = {Jülich},
publisher = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
reportid = {FZJ-2024-06115},
isbn = {978-3-95806-781-3},
series = {Reihe Energie $\&$ Umwelt / Energy $\&$ Environment},
pages = {IX, 163},
year = {2024},
note = {Dissertation, RWTH Aachen University, 2024},
abstract = {A detailed understanding of the processes within the
critical zone, which covers the area from the earth’s
surface down to the aquifer, is essential for sustainable
resource management and environmental protection. This zone
exhibits complex flow and transport processes and supports
critical ecosystem services such as water supply,
agriculture, and climate regulation. However, imaging the
complex critical zone accurately, especially at high
resolutions required for a detailed analysis, presents
significant challenges because of the variability of soil
water content and complex subsurface structures. This thesis
introduces a novel 2.5D ground penetrating radar (GPR)
full-waveform inversion (FWI) method that enhances
subsurface imaging by accurately incorporating 3D
geometries, such as air and water filled boreholes, finite
length antenna models, and lysimeter geometries, in the
forward modeling of the GPR FWI. Furthermore, the 3D-to-2D
data transformation with its assumptions, e.g. for the
far-field, necessary for 2D GPR FWI, is not required with
this method. We show in synthetic studies with different
inversion methods (2D FWI, 2.5D FWI, 2.5D FWI with borehole,
and 2.5D FWI with borehole and antenna) an improved source
wavelet reconstruction with the inclusion of realistic
borehole and antenna geometries for the data. The inclusion
of these geometries in the forward model of FWI approaches
can significantly improve the accuracy of conductivity
reconstructions, with a reduction in the mean relative
absolute error of conductivity of more than $20\%$ compared
to simple 2D FWI and 2.5D FWI. The improvement is
particularly noticeable in high-contrast zones. Although
including antenna geometries significantly increases
computational requirements by a factor of í10, the quality
of reconstruction remains similar to the case with only
borehole inclusion. In contrast to ray-based inversion
(RBI), where artifacts arise when using high-angle data
(72.35°), FWI still provides reliable results. In a
following analysis, we tested if a model that includes
boreholes and finite length antenna models for experimental
data measured with transmitter and receiver positioned in
air and water filled boreholes can improve the effective
source wavelet estimation. A synthetic test shows that using
this approach, only one wavelet can be used for the
reconstruction of both the unsaturated and saturated zone.
However, we still observed challenges with the current
antenna model to account for the different coupling in air
filled boreholes for measured data. Using the new 2.5D FWI
with borehole and antenna models and a single source
wavelet, the results of the saturated zone reconstruction
were similar to those observed in previous studies where
four effective source wavelets were considered. To obtain
reliable results in the unsaturated zone, it is necessary to
adapt the antenna model to resolve existing discrepancies.
Next to an improved reconstruction of small-scale structures
in aquifers, small-scale processes in the
soil-plant-atmosphere continuum are also of interest. In
order to achieve a higher reconstruction resolution with the
FWI for these processes, higher frequencies are necessary.
In a first part, we indicate the constraints imposed by
high-frequency GPR data, which require more precise starting
models to fulfill the half-wavelength criterion of the GPR
FWI. This cannot be met by the regular starting model
approach of using RBI models. We show that a
frequency-hopping approach can be used to generate starting
models that meet these requirements. Furthermore, we
investigated the influence of first-arriva and amplitude
changes in the source wavelets on high-frequency GPR FWI.
Utilizing an adapted heterogeneous model, we were able to
show a more detailed reconstruction with higher frequency
data compared to lower frequency data. In a next step, we
extended the model building process of the 2.5D GPR FWI and
are now able to include more complex geometrical structures
like lysimeters in the forward model. As we faced challenges
to use the 2D GPR FWI on experimental high-frequency data
acquired on lysimeters, we first investigated the different
GPR waves in synthetic studies at lysimeters filled with
homogeneous and heterogeneous soils. We show the complexity
of the GPR data, that includes air, direct, and reflected
waves. We created a synthetic 3D GPR lysimeter dataset with
a center frequency of 450 MHz and applied the novel 2.5D GPR
FWI to this dataset. It demonstrates an exceptional good
reconstruction of the soil and fit of the dataset by the
inversion results, effectively simulating air-, real soil-,
and reflected waves as well as revealing intricate soil
properties. The newly developed 2.5D GPR FWI presented in
this thesis enables the modeling and reconstruction of
small-scale structures with high resolution. The application
ranges from aquifer characterization to the now possible
inversion of GPR data measured at lysimeter, providing a
foundational framework for future research in high
resolution subsurface imaging.},
cin = {IBG-3},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {2173 - Agro-biogeosystems: controls, feedbacks and impact
(POF4-217)},
pid = {G:(DE-HGF)POF4-2173},
typ = {PUB:(DE-HGF)3 / PUB:(DE-HGF)11},
urn = {urn:nbn:de:0001-20241120144832318-5634765-9},
doi = {10.34734/FZJ-2024-06115},
url = {https://juser.fz-juelich.de/record/1032276},
}