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000850940 0247_ $$2Handle$$a2128/19568
000850940 0247_ $$2URN$$aurn:nbn:de:0001-2018091906
000850940 0247_ $$2ISSN$$a1866-1793
000850940 020__ $$a978-3-95806-339-6
000850940 037__ $$aFZJ-2018-04671
000850940 041__ $$aEnglish
000850940 1001_ $$0P:(DE-Juel1)156219$$aTang, Qi$$b0$$eCorresponding author$$ufzj
000850940 245__ $$aCharacterization of spatial-temporal varying riverbed hydraulic conductivity and its role on the estimation of river-aquifer exchangefluxes with data assimilation$$f- 2018-02-05
000850940 260__ $$aJülich$$bForschungszentrum Jülich GmbH Zentralbibliothek, Verlag$$c2018
000850940 300__ $$axv, 117 S.
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000850940 3367_ $$0PUB:(DE-HGF)11$$2PUB:(DE-HGF)$$aDissertation / PhD Thesis$$bphd$$mphd$$s1533888734_5460
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000850940 4900_ $$aSchriften des Forschungszentrums Jülich Reihe Energie & Umwelt / Energy & Environment$$v429
000850940 502__ $$aRWTH Aachen, Diss., 2018$$bDissertation$$cRWTH Aachen$$d2018
000850940 520__ $$aInteractions between surface water and groundwater play an essential role in hydrology, hydrogeology, ecology, and water resources management. When modelling the river-aquifer interactions, a proper characterization of riverbed properties such as the riverbed topography and the riverbed hydraulic conductivity (Krb) can be important for the prediction of exchange fluxes between a river and an aquifer. These riverbed properties are changing in time and space. Specifically, flood events may change the riverbed elevation as well as the riverbed texture and structure, which in turn can influence the Krb and river-aquifer exchange fluxes. One main objective of this PhD-work was to investigate the role of different Krb patterns on prediction of hydrologic states and river-aquifer exchange fluxes and to evaluate methodologies for improving the characterization of the spatial and temporal variability of Krb, in combination with different conceptualizations of the heterogeneity of the riverbed. In particular, it was evaluated whether variants of the Ensemble Kalman Filter (EnKF), an ensemble based data assimilation technique, can reproduce such interactions. EnKF is commonly used in subsurface flow and transport modelling for estimating states and parameters. However, EnKF only performs optimally for multi-Gaussian distributed parameter fields, but the spatial distribution of Krb often shows complex non-multi-Gaussian patterns, which are related to flow velocity dependent sedimentation and erosion processes. In this work, multiple types of heterogeneous Krb patterns, based on different geostatistical models, were evaluated and compared.
000850940 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x0
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