% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Rahmati:889159,
author = {Rahmati, Mehdi and Vanderborght, Jan and Šimůnek, Jirka
and Vrugt, Jasper A. and Moret‐Fernández, David and
Latorre, Borja and Lassabatere, Laurent and Vereecken,
Harry},
title = {{S}oil hydraulic properties estimation from
one‐dimensional infiltration experiments using
characteristic time concept},
journal = {Vadose zone journal},
volume = {19},
number = {1},
issn = {1539-1663},
address = {Hoboken, NJ},
publisher = {Wiley},
reportid = {FZJ-2021-00082},
pages = {e20068},
year = {2020},
abstract = {Many different equations ranging from simple empirical to
semi‐analytical solutions of the Richards equation have
been proposed for quantitative description of water
infiltration into variably saturated soils. The sorptivity,
S, and the saturated hydraulic conductivity, Ks, in these
equations are typically unknown and have to be estimated
from measured data. In this paper, we use so‐called
characteristic time (tchar) to design a new method, referred
to as the characteristic time method (CTM) that estimates S,
and Ks, from one‐dimensional (1D) cumulative infiltration
data. We demonstrate the usefulness and power of the CTM by
comparing it with a suite of existing methods using
synthetic cumulative infiltration data simulated by
HYDRUS‐1D for 12 synthetic soils reflecting different USDA
textural classes, as well as experimental data selected from
the Soil Water Infiltration Global (SWIG) database. Results
demonstrate that the inferred values of S and Ks are in
excellent agreement with their theoretical values used in
the synthetically simulated infiltration experiments with
Nash–Sutcliffe criterion close to unity and RMSE values of
0.04 cm h−1/2 and 0.05 cm h−1, respectively. The CTM
also showed very high accuracy when applied on synthetic
data with added measurement noise, as well as robustness
when applied to experimental data. Unlike previously
published methods, the CTM does not require knowledge of the
time validity of the applied semi‐analytical solution for
infiltration and, therefore, is applicable to infiltrations
with durations from 5 min to several days. A script written
in Python of the CTM method is provided in the supplemental
material.},
cin = {IBG-3},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255)},
pid = {G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000618773300062},
doi = {10.1002/vzj2.20068},
url = {https://juser.fz-juelich.de/record/889159},
}