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

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Title:Main Title: Three-dimensional imaging of subsurface structural patterns using quantitative large-scale multiconfiguration electromagnetic induction data
Description: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:10.1002/2013WR014864 (DOI)
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
Creators:Christian von Hebel (Author), Sebastian Rudolph (Author), Achim Mester (Author), Johan A. Huisman (Author), Pramod Kumbhar (Author), Harry Vereecken (Author), Jan van der Kruk (Author)
Contributor:Jan van der Kruk (Supervisor)
Publisher:AGU Publications
Publication Year:2014
Topic
TR32 Topic:Soil
Related Subproject:B6
Subject:Keyword: Soil Texture
File Details
Filename:vonHebel_etal_2014.pdf
Data Type:Text - Article
File Size:1.7 MB
Date:Available: 04.03.2014
Mime Type:application/pdf
Language:English
Status:Completed
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Download Permission:Only Project Members
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:[TR32DB] Data policy agreement
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Specific Information - Publication
Publication Status:Published
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Source:Water Resources Research
Source Website:http://onlinelibrary.wiley.com/doi/10.1002/2013WR014864/abstract
Issue:3
Volume:50
Number of Pages:17 (2732 - 2748)
Metadata Details
Metadata Creator:Christian von Hebel
Metadata Created:21.07.2014
Metadata Last Updated:21.07.2014
Subproject:B6
Funding Phase:2
Metadata Language:English
Metadata Version:V50
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