001     41656
005     20180210130133.0
024 7 _ |2 WOS
|a WOS:000227469200027
037 _ _ |a PreJuSER-41656
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 Javaux, M.
|b 0
|u FZJ
|0 P:(DE-Juel1)129477
245 _ _ |a In Situ Long-Term Chloride Transport through a Layered, Nonsaturated Subsoil . 1 . Data Set, Interpolation Methodology, and Results
260 _ _ |a Madison, Wis.
|b SSSA
|c 2004
300 _ _ |a 1322 - 1330
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 3
500 _ _ |a Record converted from VDB: 12.11.2012
520 _ _ |a A long-term data set of Cl- concentrations in an artificial, leaking lake and in the underlying vadose zone was used to assess in situ vertical transport through a tertiary sandy deposit. Since the temporal resolution of the observed Cl- concentrations in the lake was relatively a method was implemented to assess uncertainty on process identification as caused by a poor definition of the boundary condition. For this purpose we performed continuous stochastic simulations of Cl- concentrations in the lake conditioned to the discretely measured Cl- concentrations. This allows one to generate an ensemble of equiprobable time series of top boundary conditions. Each time series was subsequently used in an inverse convective - dispersive ( CD) transport model based on the transfer function concept to identify the apparent transport properties of the unsaturated natural porous medium. For each simulation, one optimal parameter set in the least-square sense is then obtained, and the variance of the optimized parameters reflects the uncertainty due to the poor sampling frequency of Cl- in the For the case study presented, we show that the variance component due to poor sampling of the top boundary condition is small for the transport velocities. This component increases with the hydrodynamic dispersivity. However, for this latter parameter, the sampling variance component was still small compared with the total variability between dispersivity at different depths. Physical interpretation of variability and scale dependency of this latter parameter is studied in more detail in an accompanying paper.
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 Vanclooster, M.
|b 1
|0 P:(DE-HGF)0
773 _ _ |g Vol. 3, p. 1322 - 1330
|p 1322 - 1330
|q 3<1322 - 1330
|0 PERI:(DE-600)2088189-7
|t Vadose zone journal
|v 3
|y 2004
|x 1539-1663
909 C O |o oai:juser.fz-juelich.de:41656
|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 2004
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)57648
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


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21