Potential of wireless sensor networks for measuring soil water content variability
This page lists all metadata that was entered for this dataset. Only registered users of the TR32DB may download this file.
Feature
Request download
Citation
Citation Options
Identification
| Title: | Main Title: Potential of wireless sensor networks for measuring soil water content variability |
| Description: | 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: | 10.2136/vzj2009.0173 (DOI) |
Responsible Party
| Creators: | Heye Bogena (Author), Michael Herbst (Author), Johan A. Huisman (Author), Ulrike Rosenbaum (Author), Ansgar Weuthen (Author), Harry Vereecken (Author) |
| Publisher: | Soil Science Society of America |
| Publication Year: | 2013 |
Topic
| TR32 Topic: | Soil |
| Related Subproject: | B1 |
| Subjects: | Keywords: Soil Water Content, Wireless Sensor, Hydrology |
File Details
| Filename: | 2010_Bogena_VZJ.pdf |
| Data Type: | Text - Article |
| Size: | 12 Pages |
| File Size: | 2.3 MB |
| Date: | Available: 30.09.2009 |
| Mime Type: | application/pdf |
| Data Format: | |
| Language: | English |
| Status: | Completed |
Constraints
| Download Permission: | Only Project Members |
| General Access and Use Conditions: | For internal use only |
| Access Limitations: | For internal use only |
| Licence: | [TR32DB] Data policy agreement |
Geographic
Specific Information - Publication
| Publication Status: | Published |
| Review Status: | Peer reviewed |
| Publication Type: | Article |
| Article Type: | Journal |
| Source: | Vadose Zone Journal |
| Source Website: | www.soils.org |
| Issue: | 4 |
| Volume: | 9 |
| Number of Pages: | 12 (1 - 12) |
Metadata Details
| Metadata Creator: | Heye Bogena |
| Metadata Created: | 02.12.2013 |
| Metadata Last Updated: | 02.12.2013 |
| Subproject: | B1 |
| Funding Phase: | 1 |
| Metadata Language: | English |
| Metadata Version: | V50 |
Metadata Export
| Metadata Schema: |
Dataset Statistics
| Page Visits: | 872 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 1 |
Dataset Activity
Feature
DownloadBy downloading this dataset you accept the license terms of [TR32DB] Data policy agreement and TR32DB Data Protection Statement
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
