Towards 3-D Catchment Scale Characterization using Inverted Electromagnetic Induction Data
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| Title: | Main Title: Towards 3-D Catchment Scale Characterization using Inverted Electromagnetic Induction Data |
| Description: | Abstract: Because of its great dynamic the water content in the vadose zone plays an important role, especially in the interaction between the atmosphere and pedosphere, while determining evapotranspiration and groundwater recharge. Among a large number of measurement techniques sensitive to soil moisture, hydrogeophysical methods help to provide information about hydraulic characteristics of the soil. Here, measurements that provide information about the electrical conductivity are preferred since the measurements respond to the soil constituents that conduct electrical current such as soil texture and water content. Many studies used the electrical resistivity tomography (ERT) method successfully to identify hydrologically active zones because the obtained lateral and vertical resistivity (reciprocal of the conductivity) distribution discriminate the layering of the subsurface. However, this method is laborious from a time perspective and spatially limited since transects with stationary fixed electrodes have to be used to feed the current into the ground. Here, inductively coupled systems such as electromagnetic induction (EMI) sensors offer a great potential to map the soil apparent electrical conductivity (ECa) over large areas in a non-invasive manner in relatively short times. Recently, multi-configuration systems became commercially available, that enable the simultaneous sensing over different depth ranges. However, due to the complicated and overlapping sensitivity functions of each coil configuration, it is not straightforward to obtain a layered electrical conductivity distribution indispensable for catchment investigations. Moreover, the measurements are influenced by external conditions such as the operator, field set-up, cables or any other current conducting material close to the system, such that the recorded value is shifted, which hinders a quantitative interpretation of the measured ECa. In the current work, we use an advanced calibration and novel multi-configuration EMI inversion procedure to obtain a layered subsurface model that indicates lateral and vertical changes in the soil constitutions and/or soil moisture distribution at the field scale and beyond. Using an all-terrain-vehicle, large-scale measurements were made with an EMI sensor that houses three different transmitter-receiver pairs with a certain coil offset oriented with vertical coplanar loops (VCP) or horizontal coplanar loops (HCP). Hence, six georeferenced data sets of approximately 55000 measurements were recorded with different sensing depths at the 11400 m2 large Selhausen (Germany) test site. We calibrated the large-scale measurements using a 30 m short ERT transect and inverted the obtained quantitative EMI-ECa with the novel multi-configuration inversion that is based on a parallelized version of the shuffled complex evolution (SCE) algorithm. The results were stitched together to form a quasi-3D model presented in figure 1. Smoothly varying electrical conductivities and layer thicknesses coincide with results obtained in earlier studies. Low resolution grain size distribution maps showed a distinct gradient in soil texture with considerably high gravel content at the eastern part and increasing sand and loam content towards the west. The quasi-3D model reflects these findings by low conductivity values that are present at the eastern part and increasing electrical conductivity values towards the western direction. Moreover, two formerly measured 120 m long ERT transects confirmed the obtained structural subsurface patterns. Note that the measurements of a 120 m long ERT transect need about a day, whereas the EMI survey of the 190 x 60 m large test site was performed within three to four hours. |
Responsible Party
| Creators: | Christian von Hebel (Author), Achim Mester (Author), Johan A. Huisman (Author), Sebastian Rudolph (Author), Harry Vereecken (Author), Jan van der Kruk (Author) |
| Publisher: | CRC/TR32 Database (TR32DB) |
| Publication Year: | 2016 |
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File Details
| Filename: | CvH-EMI_CMWR2014.ppt |
| Data Type: | Event - Event |
| File Size: | 4.1 MB |
| Date: | Issued: 13.06.2014 |
| Mime Type: | application/vnd.ms-powerpoint |
| Data Format: | MS PowerPoint |
| 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 - Presentation
| Presentation Date: | 13th of June, 2014 |
| Presentation Type: | Poster |
| Event: | Computational Methods in Water Resources |
| Event Type: | Conference |
| Event Location: | Stuttgart |
| Event Duration: | 10th of June, 2014 - 13th of June, 2014 |
Metadata Details
| Metadata Creator: | Christian von Hebel |
| Metadata Created: | 12.05.2016 |
| Metadata Last Updated: | 12.05.2016 |
| Subproject: | B6 |
| Funding Phase: | 2 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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| Page Visits: | 520 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 1 |
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