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@ARTICLE{Vereecken:12039,
author = {Vereecken, H. and Weynants, M. and Javaux, M. and
Pachepsky, Y. and Schaap, M.G. and van Genuchten, M.Th.},
title = {{U}sing {P}edotransfer {F}unctions to {E}stimate the van
{G}enuchten-{M}ualem {S}oil {H}ydraulic {P}roperties: {A}
{R}eview},
journal = {Vadose zone journal},
volume = {9},
issn = {1539-1663},
address = {Madison, Wis.},
publisher = {SSSA},
reportid = {PreJuSER-12039},
pages = {795 - 820},
year = {2010},
note = {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.},
abstract = {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.},
keywords = {J (WoSType)},
cin = {ICG-4 / JARA-ENERGY / JARA-HPC},
ddc = {550},
cid = {I:(DE-Juel1)VDB793 / $I:(DE-82)080011_20140620$ /
$I:(DE-82)080012_20140620$},
pnm = {Terrestrische Umwelt},
pid = {G:(DE-Juel1)FUEK407},
shelfmark = {Environmental Sciences / Soil Science / Water Resources},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000287739800001},
doi = {10.2136/vzj2010.0045},
url = {https://juser.fz-juelich.de/record/12039},
}