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|a 10.34734/FZJ-2024-01716
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100 1 _ |0 P:(DE-Juel1)180342
|a Wang, Haoran
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245 _ _ |a Optimizing spectral electrical impedance tomography technology for improved subsurface characterization
|f - 2023-11-15
260 _ _ |a Jülich
|b Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag
|c 2024
300 _ _ |a xxix, 113
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490 0 _ |a Schriften des Forschungszentrums Jülich Reihe Energie & Umwelt / Energy & Environment
|v 624
502 _ _ |a Dissertation, Univ. Stuttgart, 2023
|b Dissertation
|c Univ. Stuttgart
|d 2023
520 _ _ |a Spectral 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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|v Für eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten
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