[1451] - Calibration and multi-layer inversion of multiple electromagnetic induction sensor data
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Citation | ||
von Hebel, C., van der Kruk, J., Mester, A., Altdorff, D., Zimmermann, E., Endres, A. ., Vereecken, H., 2016. Calibration and multi-layer inversion of multiple electromagnetic induction sensor data. EGU General Assembly 2016, April 17 - 22, 2016, Vienna. Accessed from https://www.tr32db.uni-koeln.de/data.php?dataID=1451 at 2021-01-22. | ||
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Identification | ||
Title(s): | Main Title: Calibration and multi-layer inversion of multiple electromagnetic induction sensor data | |
Description(s): | Abstract: Multi-coil electromagnetic induction (EMI) sensors record simultaneously the apparent electrical conductivity (ECa) distribution of different integrated depths that can principally be used to invert for hydrologically relevant subsurface structures. However, EMI sensors induce not only magnetic fields in the subsurface but external conditions, e.g. the field setup, generate additional fields that shift the recorded ECa values. To obtain quantitative multi-coil EMI-ECa that make a multi-layer inversion possible, a post-calibration is required. Calibration for each coil configuration is performed using linear regressions between measured and predicted ECa that were obtained by inserting the electrical conductivities of inverted electrical resistivity tomography (ERT) data into a Maxwellbased EMI forward model. We measured 43 of these calibration lines using different field setups at various test sites and dates. Analyzing the data, we found a well-working calibration and a successful subsequent multi-layer inversion when relatively large lateral and vertical ECa values were found along the calibration line. However, we observed failure when either the measured or the predicted ECa range is < 3 mS/m and/or when the ground electrical conductivity is < 5 mS/m. Using selected calibration lines with coefficients of determination R2 > 0.75 in the linear regression equations, universal calibration parameters were obtained. Since the inversion of universally calibrated EMI-ECa returned similar subsurface structures as the ERT images, the results indicate that future ERT calibration measurements might become unnecessary. We also extended our three-layer inversion using one EMI sensor with 6 coil configurations to a combined multi-layer inversion of multiple sensors. Here, we preliminary show 4 and 5 layer inversion results of post-calibrated EMI-ECa measured above paleo-river channels with 24 coil configurations, i.e. DualEM plus a three- and a six coil CMD-MiniExplorer. Conclusively, the post-calibrated EMI-ECa data enable quantitative inversions reflecting large-scale vadose zone properties. | |
Responsible Party | ||
Creator(s): | Author: Christian von Hebel Author: Jan van der Kruk Author: Achim Mester Author: Daniel Altdorff Author: Egon Zimmermann Author: Anthony Endres Author: Harry Vereecken | |
Publisher: | CRC/TR32 Database (TR32DB) | |
Topic | ||
TR32 Topic: | Soil | |
Related Sub-project(s): | B6 | |
Subject(s): | CRC/TR32 Keywords: Soil | |
File Details | ||
File Name: | CvH_EMI_EGU2016.pptx | |
Data Type: | Event | |
File Size: | 2500 kB (2.441 MB) | |
Date(s): | Issued: 2016-04-21 | |
Mime Type: | application/vnd.openxmlformats-officedocument.presentationml.presentation | |
Data Format: | MS PowerPoint | |
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. | |
Licence: | TR32DB Data policy agreement | |
Geographic | ||
North: | - | ![]() |
East: | - | |
South: | - | |
West: | - | |
Measurement Region: | Ellebach | |
Measurement Location: | Selhausen | |
Specific Informations - Presentation | ||
Presenter: | von Hebel | |
Presentation Date: | 2016-04-21 | |
Presentation Type: | Poster | |
Event Name: | EGU General Assembly 2016 | |
Event Type: | Conference | |
Event Location: | Vienna | |
Event Period: | 17th of April, 2016 - 22nd of April, 2016 | |
Metadata Details | ||
Metadata Creator: | Christian von Hebel | |
Metadata Created: | 2016-10-12 | |
Metadata Last Updated: | 2016-10-12 | |
Subproject: | B6 | |
Funding Phase: | 3 | |
Metadata Language: | English | |
Metadata Version: | V41 | |
Dataset Metrics | ||
Page Visits: | 590 | |
Metadata Downloads: | 0 | |
Dataset Downloads: | 3 | |
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