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001023484 0247_ $$2datacite_doi$$a10.34734/FZJ-2024-01716
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001023484 020__ $$a978-3-95806-744-8
001023484 037__ $$aFZJ-2024-01716
001023484 1001_ $$0P:(DE-Juel1)180342$$aWang, Haoran$$b0$$eCorresponding author$$ufzj
001023484 245__ $$aOptimizing spectral electrical impedance tomography technology for improved subsurface characterization$$f- 2023-11-15
001023484 260__ $$aJülich$$bForschungszentrum Jülich GmbH Zentralbibliothek, Verlag$$c2024
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001023484 4900_ $$aSchriften des Forschungszentrums Jülich Reihe Energie & Umwelt / Energy & Environment$$v624
001023484 502__ $$aDissertation, Univ. Stuttgart, 2023$$bDissertation$$cUniv. Stuttgart$$d2023
001023484 520__ $$aSpectral electrical impedance tomography (sEIT) is a promising geophysical method to image the subsurface complex electrical conductivity distribution in a broad frequency range (i.e. mHz to kHz). sEIT has received increasing interest in recent years, especiallyin the case of environmental and hydrogeophysical applications. Promising laboratory results have demonstrated the usefulness of broadband spectral induced polarization (SIP) measurements. It is now desirable to obtain accurate and broadband imaging results at the field scale. However, there is still a range of challenges that need to be addressed to achieve accurate sEIT imaging at the field scale. In this context, the aim of this thesis is to enhance the applicability of sEIT technology at the field scale by improving the inversion of complex EIT data and developing strategies to address so-called electromagnetic coupling effects at high frequencies.
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