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TY  - THES
AU  - Hoven, Dominik
TI  - Multi-dimensional GPR full-waveform inversion for small-scale hydrogeophysical soil characterization
VL  - 643
PB  - RWTH Aachen University
VL  - Dissertation
CY  - Jülich
M1  - RWTH-2024-09485
T2  - Schriften des Forschungszentrums Jülich. Reihe Energie & Umwelt = Energy & environment
SP  - 1 Online-Ressource (IX, 163 Seiten) : Illustrationen, Diagramme
PY  - 2024
N1  - Druckausgabe: 2024. - Onlineausgabe: 2024. - Auch veröffentlicht auf dem Publikationsserver der RWTH Aachen University 2025
N1  - Dissertation, RWTH Aachen University, 2024
AB  - 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
LB  - PUB:(DE-HGF)11 ; PUB:(DE-HGF)3
DO  - DOI:10.18154/RWTH-2024-09485
UR  - https://publications.rwth-aachen.de/record/994695
ER  -