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000012039 084__ $$2WoS$$aEnvironmental Sciences
000012039 084__ $$2WoS$$aSoil Science
000012039 084__ $$2WoS$$aWater Resources
000012039 1001_ $$0P:(DE-Juel1)129549$$aVereecken, H.$$b0$$uFZJ
000012039 245__ $$aUsing Pedotransfer Functions to Estimate the van Genuchten-Mualem Soil Hydraulic Properties: A Review
000012039 260__ $$aMadison, Wis.$$bSSSA$$c2010
000012039 300__ $$a795 - 820
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000012039 440_0 $$010301$$aVadose Zone Journal$$v9$$x1539-1663$$y4
000012039 500__ $$aAttila Nemes (Agricultural Research Station, Beltsville, MD), Wim Cornelis (University of Ghent, Belgium), Christine Stumpp (University of California, Riverside), Navin Kumar Twarakavi (University of Alabama at Auburn) and Christen Borgesen (University of Aarhus, Denmark) are gratefully thanked for providing the original data. We thank the Transregional Collaborative Research Centre, TR-32, "Patterns in Soil-Plant-Atmosphere Systems: Monitoring, Modelling and Data Assimilation" for supporting this research.
000012039 520__ $$aWe 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.
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000012039 7001_ $$0P:(DE-HGF)0$$aWeynants, M.$$b1
000012039 7001_ $$0P:(DE-Juel1)129477$$aJavaux, M.$$b2$$uFZJ
000012039 7001_ $$0P:(DE-HGF)0$$aPachepsky, Y.$$b3
000012039 7001_ $$0P:(DE-HGF)0$$aSchaap, M.G.$$b4
000012039 7001_ $$0P:(DE-HGF)0$$avan Genuchten, M.Th.$$b5
000012039 773__ $$0PERI:(DE-600)2088189-7$$a10.2136/vzj2010.0045$$gVol. 9, p. 795 - 820$$p795 - 820$$q9<795 - 820$$tVadose zone journal$$v9$$x1539-1663$$y2010
000012039 8567_ $$uhttp://dx.doi.org/10.2136/vzj2010.0045
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