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005     20180208202809.0
024 7 _ |2 DOI
|a 10.2136/vzj2009.0073
024 7 _ |2 WOS
|a WOS:000277718000015
037 _ _ |a PreJuSER-11657
041 _ _ |a eng
082 _ _ |a 550
084 _ _ |2 WoS
|a Environmental Sciences
084 _ _ |2 WoS
|a Soil Science
084 _ _ |2 WoS
|a Water Resources
100 1 _ |a Oberdörster, C.
|b 0
|u FZJ
|0 P:(DE-Juel1)VDB35190
245 _ _ |a Investigating preferential flow processes in a forest soil using time domain reflectometry and electrical resistivity tomography
260 _ _ |a Madison, Wis.
|b SSSA
|c 2010
300 _ _ |a 350 - 361
336 7 _ |a Journal Article
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336 7 _ |a Journal Article
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336 7 _ |a ARTICLE
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336 7 _ |a JOURNAL_ARTICLE
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336 7 _ |a article
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440 _ 0 |a Vadose Zone Journal
|x 1539-1663
|0 10301
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|v 9
500 _ _ |a This work was supported by the Deutsche Forschungsgemeinschaft (DFG) in the framework of the project "Combining remote sensing and geophysical methods for monitoring and modelling of water fluxes and soil water dynamics in a forest stand."
520 _ _ |a We compared the well-established time domain reflectometry (TDR) method and electrical resistivity tomography (ERT) to monitor bulk electrical conductivity, sigma(b), during a saline tracer experiment. The experiment was conducted at a forest site on the premises of the Forschungszentrum Julich. To parameterize solute transport processes, the convection-dispersion equation (CDE) and the mobile-immobile (MIM) model were fitted to the data. Although sigma(b) derived from ERT was lower than TDR measurements at almost all depths, the estimated pore water velocities of the CDE model were very similar. Early peak arrival times at lower depths and long tailings of the breakthrough curves clearly indicated preferential flow phenomena that could not be described with an appropriate parameterization using classical transport approaches such as the CDE. Adoption of the MIM model did not lead to more reasonable solute transport parameters. Additionally, preferential flow was reflected in high peak velocities in the lower depths, which exceeded piston flow velocities. The strong decline in peak sigma(b) with depth showed that the volume through which transport took place decreased with depth. Typical features of preferential transport could be detected and the spatial variability of the preferential transport process could be imaged by ERT.
536 _ _ |a Terrestrische Umwelt
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588 _ _ |a Dataset connected to Web of Science
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700 1 _ |a Vanderborght, J.
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700 1 _ |a Kemna, A.
|b 2
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700 1 _ |a Vereecken, H.
|b 3
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773 _ _ |a 10.2136/vzj2009.0073
|g Vol. 9, p. 350 - 361
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|0 PERI:(DE-600)2088189-7
|t Vadose zone journal
|v 9
|y 2010
|x 1539-1663
856 7 _ |u http://dx.doi.org/10.2136/vzj2009.0073
909 C O |o oai:juser.fz-juelich.de:11657
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914 1 _ |y 2010
915 _ _ |0 StatID:(DE-HGF)0010
|a JCR/ISI refereed
920 1 _ |d 31.10.2010
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920 1 _ |0 I:(DE-82)080011_20140620
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