TR32-Database: Database of Transregio 32

[654] - Potential of wireless sensor networks for measuring soil water content variability

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Citation
Bogena, H., Herbst, M., Huisman, J. A., Rosenbaum, U., Weuthen, A., Vereecken, H., 2010. Potential of wireless sensor networks for measuring soil water content variability. Vadose Zone Journal, 9 (4), 1 - 12. DOI: 10.2136/vzj2009.0173.
Identification
Title(s):Main Title: Potential of wireless sensor networks for measuring soil water content variability
Description(s):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 nearreal- time monitoring of SWC at the field and headwater catchment scales using the recently developed wireless sensor network SoilNet. The forest catchment Wüstebach (~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.
Identifier(s):DOI: 10.2136/vzj2009.0173
Responsible Party
Creator(s):Author: Heye Bogena
Author: Michael Herbst
Author: Johan A. Huisman
Author: Ulrike Rosenbaum
Author: Ansgar Weuthen
Author: Harry Vereecken
Publisher:Soil Science Society of America
Topic
TR32 Topic:Soil
Subject(s):CRC/TR32 Keywords: Soil Water Content, Wireless Sensor, Hydrology
File Details
File Name:2010_Bogena_VZJ.pdf
Data Type:Text
Size(s):12 Pages
File Size:2370 kB (2.314 MB)
Date(s):Available: 2009-09-30
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:TR32DB Data policy agreement
Geographic
North:50.5085629
East:6.3413937
South:50.4976446
West:6.3242275
Measurement Region:Erkensruhr
Measurement Location:Wüstebach
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2010
Type:Article
Article Type:Journal
Source:Vadose Zone Journal
Issue:4
Volume:9
Number Of Pages:12
Page Range:1 - 12
Metadata Details
Metadata Creator:Heye Bogena
Metadata Created:2013-12-02
Metadata Last Updated:2013-12-02
Subproject:B1
Funding Phase:1
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:115
Metadata Downloads:0
Dataset Downloads:0
Dataset Activity
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