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@ARTICLE{Sucre:17434,
author = {Sucre, O. and Pohlmeier, A. and Miniére, A. and Blümich,
B.},
title = {{L}ow-field {NMR} logging sensor for measuring hydraulic
parameters of model soils},
journal = {Journal of hydrology},
volume = {406},
issn = {0022-1694},
address = {Amsterdam [u.a.]},
publisher = {Elsevier},
reportid = {PreJuSER-17434},
year = {2011},
note = {Funding from the German Research Council (DFG) framed
within the interdisciplinary project TRANSREGIO 32
(Interdisciplinary Collaborative Research Center, 2010) is
gratefully acknowledged. The insightful comments of the
referees were also of great help. OS expresses his gratitude
to the German Service of Academic Exchange (DAAD) for his
Ph.D. Grant and to K. Kupferschlager and M. Adams for the
provided technical support.},
abstract = {Knowing the exact hydraulic parameters of soils is very
important for improving water management in agriculture and
for the refinement of climate models. Up to now, however,
the investigation of such parameters has required applying
two techniques simultaneously which is time-consuming and
invasive. Thus, the objective of this current study is to
present only one technique, i.e., a new non-invasive method
to measure hydraulic parameters of model soils by using
low-field nuclear magnetic resonance (NMR). Hereby, two
model clay or sandy soils were respectively filled in a 2
m-long acetate column having an integrated PVC tube. After
the soils were completely saturated with water, a low-field
NMR sensor was moved up and down in the PVC tube to
quantitatively measure along the whole column the initial
water content of each soil sample. Thereafter, both columns
were allowed to drain. Meanwhile, the NMR sensor was set at
a certain depth to measure the water content of that soil
slice. Once the hydraulic equilibrium was reached in each of
the two columns, a final moisture profile was taken along
the whole column. Three curves were subsequently generated
accordingly: (1) the initial moisture profile, (2) the
evolution curve of the moisture depletion at that particular
depth, and (3) the final moisture profile. All three curves
were then inverse analyzed using a MATLAB code over
numerical data produced with the van Genuchten-Mualem model.
Hereby, a set of values (alpha, n, theta(r) and theta(s))
was found for the hydraulic parameters for the soils under
research. Additionally, the complete decaying NMR signal
could be analyzed through Inverse Laplace Transformation and
averaged on the 1/T-2 space. Through measurement of the
decay in pure water, the effect on the relaxation caused by
the sample could be estimated from the obtained spectra. The
migration of the sample-related average < 1/T-2,T-Sample >
with decreasing saturation speaks for a enhancement of the
surface relaxation as the soil dries, in concordance with
results found by other authors. In conclusion, this
low-field mobile NMR technique has proven itself to be a
fast and a non-invasive mean to investigate the hydraulic
behavior of soils and to explore microscopical aspect of the
water retained in them. In the future, the sensor should
allow easy soil moisture measurements on-field. (C) 2011
Elsevier B.V. All rights reserved.},
keywords = {J (WoSType)},
cin = {IBG-3},
ddc = {690},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {Terrestrische Umwelt},
pid = {G:(DE-Juel1)FUEK407},
shelfmark = {Engineering, Civil / Geosciences, Multidisciplinary / Water
Resources},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000294518500003},
doi = {10.1016/j.jhydrol.2011.05.045},
url = {https://juser.fz-juelich.de/record/17434},
}