Hauptseite > Publikationsdatenbank > Improved dual-permeability model of water flow and solute transport in the vadose zone > print

001     45738
005     20190625111720.0
024 7 _ |2 DOI
|a 10.2136/vzj2004.0137
024 7 _ |2 WOS
|a WOS:000229799800014
024 7 _ |a altmetric:21813763
|2 altmetric
037 _ _ |a PreJuSER-45738
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 Larsbo, M.
|b 0
|0 P:(DE-HGF)0
245 _ _ |a Improved dual-permeability model of water flow and solute transport in the vadose zone
260 _ _ |a Madison, Wis.
|b SSSA
|c 2005
300 _ _ |a 398 - 406
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
|0 0
|2 EndNote
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a article
|2 DRIVER
440 _ 0 |a Vadose Zone Journal
|x 1539-1663
|0 10301
|v 4
500 _ _ |a Record converted from VDB: 12.11.2012
520 _ _ |a We introduce an improved, one-dimensional, non-steady-state dual-permeability model (MACRO 5.1). The model simulates water flow and solute transport in the vadose zone of structured soils by coupling high-conductivity-low porosity macropore domain to a low-conductivity - high porosity domain representing the soil matrix. Mass exchange between the domains is approximated by first-order expressions. The numerical solutions are briefly described, focusing on the dual-permeability formulation. The solution method for water flow in macropores was verified by comparing simulation results with analytical solutions for a "kinematic wave". The model was tested against high time-resolution measurements of water flow and nonreactive (Cl-) solute transport in transient microlysimeter experiments. The objective was to test the identifiability of four key model parameters determining the degree of preferential flow using the generalized likelihood uncertainty estimation ( GLUE) procedure. The parameters were chosen either because they are difficult or impossible to measure directly or because they were considered sensitive on the basis of earlier experience with the model. The measurements, indicating strong preferential flow, were adequately reproduced by the model simulations overall model efficiency = 0.62). The GLUE procedure conditioned the saturated matrix hydraulic conductivity, the macroporosity, and the mass exchange coefficient diffusion pathlength), indicating that these parameters would be identifiable in inverse modeling approaches based on microlysimeter experiments. The conditioning of the kinematic exponent was poor, which was attributed primarily to correlation with the macroporosity.
536 _ _ |a Chemie und Dynamik der Geo-Biosphäre
|c U01
|2 G:(DE-HGF)
|0 G:(DE-Juel1)FUEK257
|x 0
588 _ _ |a Dataset connected to Web of Science
650 _ 7 |a J
|2 WoSType
700 1 _ |a Roulier, S.
|b 1
|0 P:(DE-HGF)0
700 1 _ |a Stenemo, F.
|b 2
|0 P:(DE-HGF)0
700 1 _ |a Kasteel, R.
|b 3
|u FZJ
|0 P:(DE-Juel1)VDB724
700 1 _ |a Jarvis, N.
|b 4
|0 P:(DE-HGF)0
773 _ _ |a 10.2136/vzj2004.0137
|g Vol. 4, p. 398 - 406
|p 398 - 406
|q 4<398 - 406
|0 PERI:(DE-600)2088189-7
|t Vadose zone journal
|v 4
|y 2005
|x 1539-1663
856 7 _ |u http://dx.doi.org/10.2136/vzj2004.0137
909 C O |o oai:juser.fz-juelich.de:45738
|p VDB
913 1 _ |k U01
|v Chemie und Dynamik der Geo-Biosphäre
|l Chemie und Dynamik der Geo-Biosphäre
|b Environment (Umwelt)
|0 G:(DE-Juel1)FUEK257
|x 0
914 1 _ |y 2005
915 _ _ |0 StatID:(DE-HGF)0010
|a JCR/ISI refereed
920 1 _ |k ICG-IV
|l Agrosphäre
|d 31.12.2006
|g ICG
|0 I:(DE-Juel1)VDB50
|x 0
970 _ _ |a VDB:(DE-Juel1)70628
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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