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@ARTICLE{Bogena:11423,
author = {Bogena, H. R. and Herbst, M. and Huisman, J. A. and
Rosenbaum, U. and Weuthen, A. and Vereecken, H.},
title = {{P}otential of wireless sensor networks for measuring soil
water content variability},
journal = {Vadose zone journal},
volume = {9},
issn = {1539-1663},
address = {Madison, Wis.},
publisher = {SSSA},
reportid = {PreJuSER-11423},
pages = {1002 - 1013},
year = {2010},
note = {We gratefully acknowledge financial support by the SFB/TR32
"Pattern in Soil-Vegetation-Atmosphere Systems: Monitoring,
Modelling, and Data Assimilation" funded by the Deutsche
Forschungsgemeinschaft (DFG) and by TERENO "Terrestrial
Environmental Observatories" funded by the Federal Ministry
of Education and Research (BMBF).},
abstract = {Soil water content (SWC) plays a key role in partitioning
water and energy fluxes at the land surface and in
controlling hydrologic fluxes such as groundwater recharge.
Despite the importance of SWC, it is not yet measured in an
operational way at larger scales. The aim of this study was
to investigate the potential of wireless sensor network
technology for the near-real-time monitoring of SWC at the
field and headwater catchment scales using the recently
developed wireless sensor network SoilNet. The forest
catchment Wustebach (similar to 27 ha) was instrumented with
150 end devices and 600 EC-5 SWC sensors from the ECH2O
series by Decagon Devices. In the period between August and
November 2009, more than six million SWC measurements were
obtained. The observed spatial variability corresponded well
with results from previous studies. The very low scattering
in the plots of mean SWC against SWC variance indicates that
the sensor network data provide a more accurate estimate of
SWC variance than discontinuous data from measurement
campaigns, due, e. g., to fixed sampling locations and
permanently installed sensors. The spatial variability in
SWC at the 50-cm depth was significantly lower than at 5 cm,
indicating that the longer travel time to this depth reduced
the spatial variability of SWC. Topographic features showed
the strongest correlation with SWC during dry periods,
indicating that the control of topography on the SWC pattern
depended on the soil water status. Interpolation results
indicated that the high sampling density allowed capture of
the key patterns of SWC variation.},
keywords = {J (WoSType)},
cin = {ICG-4 / JARA-ENERGY},
ddc = {550},
cid = {I:(DE-Juel1)VDB793 / $I:(DE-82)080011_20140620$},
pnm = {Terrestrische Umwelt},
pid = {G:(DE-Juel1)FUEK407},
shelfmark = {Environmental Sciences / Soil Science / Water Resources},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000287739800017},
doi = {10.2136/vzj2009.0173},
url = {https://juser.fz-juelich.de/record/11423},
}