TR32-Database: Database of Transregio 32

[882] - Three-dimensional imaging of subsurface structural patterns using quantitative large-scale multiconfiguration electromagnetic induction data

All available metadata of the dataset are listed below. Some features are available, e.g. download of dataset or additional description file.

Features
Citation
von Hebel, C., Rudolph, S., Mester, A., Huisman, J. A., Kumbhar, P., Vereecken, H., van der Kruk, J., 2014. Three-dimensional imaging of subsurface structural patterns using quantitative large-scale multiconfiguration electromagnetic induction data. Water Resources Research, 50 (3), 2732 - 2748. DOI: 10.1002/2013WR014864.
Identification
Title(s):Main Title: Three-dimensional imaging of subsurface structural patterns using quantitative large-scale multiconfiguration electromagnetic induction data
Description(s):Abstract: Electromagnetic induction (EMI) systems measure the soil apparent electrical conductivity (ECa), which is related to the soil water content, texture, and salinity changes. Large-scale EMI measurements often show relevant areal ECa patterns, but only few researchers have attempted to resolve vertical changes in electrical conductivity that in principle can be obtained using multiconfiguration EMI devices. In this work, we show that EMI measurements can be used to determine the lateral and vertical distribution of the electrical conductivity at the field scale and beyond. Processed ECa data for six coil configurations measured at the Selhausen (Germany) test site were calibrated using inverted electrical resistivity tomography (ERT) data from a short transect with a high ECa range, and regridded using a nearest neighbor interpolation. The quantitative ECa data at each grid node were inverted using a novel three-layer inversion that uses the shuffled complex evolution (SCE) optimization and a Maxwell-based electromagnetic forward model. The obtained 1-D results were stitched together to form a 3-D subsurface electrical conductivity model that showed smoothly varying electrical conductivities and layer thicknesses, indicating the stability of the inversion. The obtained electrical conductivity distributions were validated with low-resolution grain size distribution maps and two 120 m long ERT transects that confirmed the obtained lateral and vertical large-scale electrical conductivity patterns. Observed differences in the EMI and ERT inversion results were attributed to differences in soil water content between acquisition days. These findings indicate that EMI inversions can be used to infer hydrologically active layers.
Identifier(s):DOI: 10.1002/2013WR014864
Citation Advice:von Hebel, C., S. Rudolph, A. Mester, J.A. Huisman, P. Kumbhar, H. Vereecken, and J. van der Kruk (2014), Three-dimensional imaging of subsurface structural patterns using quantitative large-scale multiconfiguration electromagnetic induction data, Water Resour. Res., 50, 2732–2748, doi:10.1002/2013WR014864.
Responsible Party
Creator(s):Author: Christian von Hebel
Author: Sebastian Rudolph
Author: Achim Mester
Author: Johan A. Huisman
Author: Pramod Kumbhar
Author: Harry Vereecken
Author: Jan van der Kruk
Contributor(s):Supervisor: Jan van der Kruk
Publisher:AGU Publications
Topic
TR32 Topic:Soil
Subject(s):CRC/TR32 Keywords: Soil Texture
File Details
File Name:vonHebel_etal_2014.pdf
Data Type:Text
File Size:1758 kB (1.717 MB)
Date(s):Available: 2014-03-04
Mime Type:application/pdf
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Geographic
North:-no map data
East:-
South:-
West:-
Measurement Region:Ellebach
Measurement Location:Selhausen
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2014
Type:Article
Article Type:Journal
Source:Water Resources Research
Issue:3
Volume:50
Number Of Pages:17
Page Range:2732 - 2748
Metadata Details
Metadata Creator:Christian von Hebel
Metadata Created:2014-07-21
Metadata Last Updated:2014-07-21
Subproject:B6
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:188
Metadata Downloads:0
Dataset Downloads:6
Dataset Activity
Features