001     12039
005     20180208204711.0
024 7 _ |2 DOI
|a 10.2136/vzj2010.0045
024 7 _ |2 WOS
|a WOS:000287739800001
037 _ _ |a PreJuSER-12039
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 Vereecken, H.
|b 0
|u FZJ
|0 P:(DE-Juel1)129549
245 _ _ |a Using Pedotransfer Functions to Estimate the van Genuchten-Mualem Soil Hydraulic Properties: A Review
260 _ _ |a Madison, Wis.
|b SSSA
|c 2010
300 _ _ |a 795 - 820
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
|y 4
|v 9
500 _ _ |a Attila Nemes (Agricultural Research Station, Beltsville, MD), Wim Cornelis (University of Ghent, Belgium), Christine Stumpp (University of California, Riverside), Navin Kumar Twarakavi (University of Alabama at Auburn) and Christen Borgesen (University of Aarhus, Denmark) are gratefully thanked for providing the original data. We thank the Transregional Collaborative Research Centre, TR-32, "Patterns in Soil-Plant-Atmosphere Systems: Monitoring, Modelling and Data Assimilation" for supporting this research.
520 _ _ |a We reviewed the use of the van Genuchten-Mualem (VGM) model to parameterize soil hydraulic properties and for developing pedotransfer functions (PTFs). Analysis of literature data showed that the moisture retention characteristic (MRC) parameterization by setting shape parameters m = 1 - 1/n produced the largest deviations between fitted and measured water contents for pressure head values between 330 (log(10) pressure head [pF] 2.5) and 2500 cm (pF 3.4). The Schaap-van Genuchten model performed best in describing the unsaturated hydraulic conductivity, K. The classical VGM model using fixed parameters produced increasingly higher root mean squared residual, RMSR, values when the soil became drier. The most accurate PTFs for estimating the MRC were obtained when using textural properties, bulk density, soil organic matter, and soil moisture content. The RMSR values for these PTFs approached those of the direct fit, thus suggesting a need to improve both PTFs and the MRC parameterization. Inclusion of the soil water content in the PTFs for K only marginally improved their prediction compared with the PTFs that used only textural properties and bulk density. Including soil organic matter to predict K had more effect on the prediction than including soil moisture. To advance the development of PTFs, we advocate the establishment of databases of soil hydraulic properties that (i) are derived from standardized and harmonized measurement procedures, (ii) contain new predictors such as soil structural properties, and (iii) allow the development of time-dependent PTFs. Successful use of structural properties in PTFs will require parameterizations that account for the effect of structural properties on the soil hydraulic functions.
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 Weynants, M.
|b 1
|0 P:(DE-HGF)0
700 1 _ |a Javaux, M.
|b 2
|u FZJ
|0 P:(DE-Juel1)129477
700 1 _ |a Pachepsky, Y.
|b 3
|0 P:(DE-HGF)0
700 1 _ |a Schaap, M.G.
|b 4
|0 P:(DE-HGF)0
700 1 _ |a van Genuchten, M.Th.
|b 5
|0 P:(DE-HGF)0
773 _ _ |a 10.2136/vzj2010.0045
|g Vol. 9, p. 795 - 820
|p 795 - 820
|q 9<795 - 820
|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/vzj2010.0045
909 C O |o oai:juser.fz-juelich.de:12039
|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 2010
915 _ _ |0 StatID:(DE-HGF)0010
|a JCR/ISI refereed
920 1 _ |d 31.10.2010
|g ICG
|k ICG-4
|l Agrosphäre
|0 I:(DE-Juel1)VDB793
|x 1
920 1 _ |0 I:(DE-82)080011_20140620
|k JARA-ENERGY
|l Jülich-Aachen Research Alliance - Energy
|g JARA
|x 2
920 1 _ |0 I:(DE-82)080012_20140620
|k JARA-HPC
|l Jülich Aachen Research Alliance - High-Performance Computing
|g JARA
|x 3
970 _ _ |a VDB:(DE-Juel1)123527
980 _ _ |a VDB
980 _ _ |a ConvertedRecord
980 _ _ |a journal
980 _ _ |a I:(DE-Juel1)IBG-3-20101118
980 _ _ |a I:(DE-82)080011_20140620
980 _ _ |a I:(DE-82)080012_20140620
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)IBG-3-20101118
981 _ _ |a I:(DE-Juel1)VDB1047
981 _ _ |a I:(DE-Juel1)VDB1346


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21