001     5527
005     20180208231017.0
024 7 _ |2 DOI
|a 10.2136/vzj2008.0027
024 7 _ |2 WOS
|a WOS:000268871900018
037 _ _ |a PreJuSER-5527
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 Köstel, J.
|b 0
|u FZJ
|0 P:(DE-Juel1)VDB61841
245 _ _ |a Noninvasive 3-D Transport Characterization in a Sandy Soil Using ERT: 1. Investigating the Validity of ERT-derived Transport Parameters
260 _ _ |a Madison, Wis.
|b SSSA
|c 2009
300 _ _ |a 711 - 722
336 7 _ |a Journal Article
|0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
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336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
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336 7 _ |a article
|2 DRIVER
440 _ 0 |a Vadose Zone Journal
|x 1539-1663
|0 10301
|y 3
|v 8
500 _ _ |a Record converted from VDB: 12.11.2012
520 _ _ |a We used time-lapse electrical resistivity tomography (ERT) and time-domain reflectometry (TDR) probes to noninvasively capture three-dimensional solute transport during four tracer experiments under different steady-state irrigation rates in a large unsaturated undisturbed soil column (140 cm length and 116 cm inner diameter). The transport was characterized by means of apparent convection-dispersion parameters that were derived from breakthrough curves (BTCs) at different lateral scales: the ERT voxel scale, the sampling volume of TDR, and the cross-section of the column. We validated the ERT-derived data by means of mass balance, TDR probes, and the effluent BTC. We observed an excellent mass recovery by ERT. The ERT-derived transport velocities exhibited minimal bias and high precision at the scale of the TDR measurements. On average the ERT-derived column-scale transport velocities were also not biased; however, the spatial variability of the voxel-scale velocities within the column's cross-sections underestimated the true velocity variability. In contrast to the transport velocities, the ERT-derived dispersivities exhibited a large bias and low precision and were sensitive to temporal smoothing. Unlike previous studies, we did not find evidence that the ERT-derived voxel-scale dispersivities increase with decreasing ERT sensitivity. Although ERT provided unprecedented information about transport processes, resolution and uncertainty analyses remain important issues requiring further investigation.
536 _ _ |a Terrestrische Umwelt
|c P24
|2 G:(DE-HGF)
|0 G:(DE-Juel1)FUEK407
|x 0
588 _ _ |a Dataset connected to Web of Science
650 _ 7 |a J
|2 WoSType
700 1 _ |a Vanderborght, J.
|b 1
|u FZJ
|0 P:(DE-Juel1)129548
700 1 _ |a Javaux, M.
|b 2
|u FZJ
|0 P:(DE-Juel1)129477
700 1 _ |a Kemna, A.
|b 3
|0 P:(DE-HGF)0
700 1 _ |a Binley, A.
|b 4
|0 P:(DE-HGF)0
700 1 _ |a Vereecken, H.
|b 5
|u FZJ
|0 P:(DE-Juel1)129549
773 _ _ |a 10.2136/vzj2008.0027
|g Vol. 8, p. 711 - 722
|p 711 - 722
|q 8<711 - 722
|0 PERI:(DE-600)2088189-7
|t Vadose zone journal
|v 8
|y 2009
|x 1539-1663
856 7 _ |u http://dx.doi.org/10.2136/vzj2008.0027
909 C O |o oai:juser.fz-juelich.de:5527
|p VDB
913 1 _ |k P24
|v Terrestrische Umwelt
|l Terrestrische Umwelt
|b Erde und Umwelt
|0 G:(DE-Juel1)FUEK407
|x 0
914 1 _ |y 2009
915 _ _ |0 StatID:(DE-HGF)0010
|a JCR/ISI refereed
920 1 _ |k ICG-4
|l Agrosphäre
|d 31.10.2010
|g ICG
|0 I:(DE-Juel1)VDB793
|x 1
970 _ _ |a VDB:(DE-Juel1)113152
980 _ _ |a VDB
980 _ _ |a ConvertedRecord
980 _ _ |a journal
980 _ _ |a I:(DE-Juel1)IBG-3-20101118
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)IBG-3-20101118


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