Improved calibration and inversion of electromagnetic induction data

This page lists all metadata that was entered for this dataset. Only registered users of the TR32DB may download this file.

Feature
Request downloadRequest download
Full Name:
Affiliation:
eMail:
Purpose of use:
 
Bot check:
Type all characters with this
color
.
 
It is case sensitive.
 
 
 
Submit
Citation
Citation Options
Identification
Title:Main Title: Improved calibration and inversion of electromagnetic induction data
Description:Abstract: Electromagnetic induction (EMI) systems are said to operate under the low induction number (LIN) approximation that converts the measured magnetic field into an apparent electrical conductivity (ECa). In general, the recorded ECa values are used to characterize the shallow subsurface. However, any external current-conducting media influence the measurements and cause a shift in the recorded ECa, which hinders a quantitative interpretation. To obtain accurate EMI data, we propose a new conversion method, investigate external influences and show how to calibrate the measurements. The correct ECa conversion (EEC) accurately transfers the magnetic field ratios into ECa, while the LIN-based conversion performs inaccurately. Hence, EEC is the preferred method. We show that the operator and/or the field setup strongly influence the measurements (data shifts up to 10 mS/m). We also show that the calibration works only when the ECa data range along a calibration line exceeds at least 1.5 mS/m and when the electrical conductivity of the ground is higher than 5 mS/m. And finally we incorporate the EEC into a sophisticated EMI inversion scheme and show that EEC outperforms LIN based conversion. The suggested methods provide several advantages: Incorporating the EEC method into computing solutions or possibly into measurement systems enhances accuracy; recognizing the data shifts leads to better subsurface characterizations; and calibration enables quantitative statements about the research area. Hence, the presented procedures lead to more reliable EMI data and will improve the EMI method.
Responsible Party
Creator:Christian von Hebel (Author)
Publisher:CRC/TR32 Database (TR32DB)
Publication Year:2016
Topic
TR32 Topic:Soil
Related Subproject:B6
Subjects:Keywords: Soil, PhD Report
File Details
Filename:CvH_EMI_report4.docx
Data Type:Text - Text
File Size:127 KB
Date:Valid: 13.08.2013
Mime Type:application/vnd.openxmlformats-officedocument.wordprocessingml.document
Data Format:MS word
Language:English
Status:Completed
Constraints
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
Geographic
Specific Information - Report
Report Date:1st of April, 2014
Report Type:PhD Report
Report City:Juelich
Report Institution:IBG-3
Further Information:figures that belong to text
Metadata Details
Metadata Creator:Christian von Hebel
Metadata Created:12.10.2016
Metadata Last Updated:12.10.2016
Subproject:B6
Funding Phase:2
Metadata Language:English
Metadata Version:V50
Metadata Export
Metadata Schema:
Dataset Statistics
Page Visits:669
Metadata Downloads:0
Dataset Downloads:0
Dataset Activity
Feature
A download is not possibleDownload