Imaging of Buried Paleo-River Channels by Joint Data Inversion of Multiple Electromagnetic Induction Devices
This page lists all metadata that was entered for this dataset. Only registered users of the TR32DB may download this file.
Feature
Request download
Citation
Citation Options
Identification
| Title: | Main Title: Imaging of Buried Paleo-River Channels by Joint Data Inversion of Multiple Electromagnetic Induction Devices |
| Description: | Abstract: The current chapter analyzes two campaigns performed at a test site that is characterized by buried paleo-river channels. In ampaign I, the CMD-MiniExplorer (ME) recorded ECa values that were post-calibrated based on ERT data. This survey essentially revealed the paleo-river channels and the observed ECa patterns were related to the leaf area index (LAI) and to soil texture in general [Rudolph et al., 2015]. Here, the quantitative EMI-ECa values were inverted for three-layers that basically show the vertical depth of the paleo-river channels within a limited depth resolution of the upper meter. The depth of investigation was increased in campaign II, that aimed at improved vadose zone characterization by a joint inversion of multiple EMI device data that obtained the lateral and vertical paleo river channel dimensions at selected transects. The EMI data were recorded with the ME plus the custom-made CMD-SpecialEdition (SE) and the DualEM-421 (DUEM). The extended coil configurations of up to 24 coils investigated depths up to 6 m and allowed to extend the SCE inversion code as described in Section 2.2.1 from three- to n-layers. The parallelized code run on the IBG-3 (Institute of Bio- and Geoscience, Agrosphere, Forschungszentrum Jülich) computer cluster using 27 processors with up to 2 GB RAM each. To perform quantitative inversions, the EMI-ECa values were calibrated using the novel post-calibration approach that is based on vertical electrical sounding (VES) data (detailed in the Appendix A). The obtained inversion results were validated with soil cores of relatively deep boreholes. |
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_report6.pdf |
| Data Type: | Text - Text |
| File Size: | 18.7 MB |
| Date: | Valid: 24.03.2016 |
| Mime Type: | application/pdf |
| 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 |
Metadata Details
| Metadata Creator: | Christian von Hebel |
| Metadata Created: | 04.05.2016 |
| Metadata Last Updated: | 04.05.2016 |
| Subproject: | B6 |
| Funding Phase: | 2 |
| Metadata Language: | English |
| Metadata Version: | V50 |
Metadata Export
| Metadata Schema: |
Dataset Statistics
| Page Visits: | 810 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 0 |
Dataset Activity
Feature
DownloadBy downloading this dataset you accept the license terms of [TR32DB] Data policy agreement and TR32DB Data 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.
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.
