[661] - Electromagnetic induction calibration using apparent electrical conductivity modelling based on electrical resistivity tomography

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

By downloading files from this dataset you accept the license terms of TR32DB Data policy agreement and TR32DBData 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.
Due to the speed of the filesystem and depending on the size of the archive and the file to be extracted, it may take up to thirty (!) minutes until a download is ready! Beware of that when confirming since you may not close the tab because otherwise, you will not get your file!
Lavoue, F., van der Kruk, J., Rings, J., Andre, F., Moghadas, D., Huisman, J. A., Lambot, S., Weihermüller, L., 2010. Electromagnetic induction calibration using apparent electrical conductivity modelling based on electrical resistivity tomography. Near Surface Geophysics, 2010 (8), 553 - 561. DOI: 10.3997/1873-0604.2010037.
Citation Options
Export as: Select the file format for your download.Citation style: Select the displayed citation style.
Title(s):Main Title: Electromagnetic induction calibration using apparent electrical conductivity modelling based on electrical resistivity tomography
Description(s):Abstract: Electromagnetic parameters of the subsurface such as electrical conductivity are of great interest for non-destructive determination of soil properties (e.g., clay content) or hydrologic state variables (e.g., soil water content). In the past decade, several non-invasive geophysical methods have been developed to measure subsurface parameters in situ. Among these methods, electromagnetic (EM) induction appears to be the most efficient one that is able to cover large areas in a short time. However, this method currently does not provide absolute values of electrical conductivity due to calibration problems, which hinders a quantitative analysis of the measurement. In this study, we propose to calibrate EM induction measurements with electrical conductivity values measured with electrical resistivity tomography (ERT). EM induction measures an apparent electrical conductivity at the surface, which represents a weighted average of the electrical conductivity distribution over a certain depth range, whereas ERT inversion can provide absolute values for local conductivities as a function of depth. EM induction and ERT measurements were collected along a 120-metre-long transect. To reconstruct the apparent electrical conductivity measured with EM induction, the inverted ERT data were used as input in an electromagnetic forward modelling tool for magnetic dipoles over a horizontally layered medium considering the frequencies and offsets used by the EM induction instruments. Comparison of the calculated and measured apparent electrical conductivi­ties shows very similar trends but a shift in absolute values, which is attributed to system calibration problems. The observed shift can be corrected for by linear regression. This new calibration strat­egy for EM induction measurements now enables the quantitative mapping of electrical conductiv­ity values over large areas.
Identifier(s):DOI: 10.3997/1873-0604.2010037
Responsible Party
Creator(s):Author: F. Lavoue
Author: Jan van der Kruk
Author: Jörg Rings
Author: Frederic Andre
Author: Davood Moghadas
Author: Johan A. Huisman
Author: Sebastien Lambot
Author: Lutz Weihermüller
Publisher:European Association of Geoscientists & Engineers
TR32 Topic:Other
Subject(s):CRC/TR32 Keywords: EMI, ERT, GPR
File Details
File Name:2010_Lavoue_NSG.pdf
Data Type:Text
File Size:2582 kB (2.521 MB)
Date(s):Date Accepted: 2010-07-01
Mime Type:application/pdf
Data Format:PDF
Download Permission:OnlyTR32
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:TR32DB Data policy agreement
Measurement Region:Ellebach
Measurement Location:Selhausen
Specific Informations - Publication
Article Type:Journal
Source:Near Surface Geophysics
Number Of Pages:9
Page Range:553 - 561
Metadata Details
Metadata Creator:Jan van der Kruk
Metadata Created:2013-12-02
Metadata Last Updated:2013-12-02
Funding Phase:1
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:502
Metadata Downloads:0
Dataset Downloads:0
Dataset Activity