TR32-Database: Database of Transregio 32

[1183] - A comparison of spectral electrical properties of undisturbed and packed sedimentary soil samples

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Citation
Kelter, M., 2015. A comparison of spectral electrical properties of undisturbed and packed sedimentary soil samples. PhD Report, Institute of Bio- and Geosciences (IBG-3), Research Center Jülich, Jülich, Germany. Accessed from http://www.tr32db.uni-koeln.de/data.php?dataID=1183 at 2017-10-22.
Identification
Title(s):Main Title: A comparison of spectral electrical properties of undisturbed and packed sedimentary soil samples
Alternative Title: 6th report
Description(s):Abstract: Spectral complex electrical properties of soils are associated to the interfacial properties of the soils. Therefore measurement as well as imaging of the spectral complex electrical properties can give valuable information for characterization of soils in terms of hydraulic conductivity. However it is well established, that for a good characterization a site-specific calibration of the relationships between spectral complex electrical properties and hydraulic conductivity is needed. Most of the studies, investigating this relationship so far focused on sandstone aquifers but in recent years also the characterization of sedimentary soils using measurements of the spectral complex electrical properties received considerable attention. As the spectral complex electrical properties are strongly dependent on the structure of the pore space, the preparation of the samples, i.e. packing procedure should have an influence on the resulting measurements which may be dependent on the soil type and therefore on the calibration relationship as well. In this work the difference between spectral complex electrical properties of undisturbed and packed sedimentary soil samples of different soil types is investigated. Two different packing procedures are used and results are presented in terms of complex conductivity spectra, as well as integral spectral parameters, obtained by Debye-decomposition. Results show, that indeed packing has a strong influence on the spectral complex electrical soil properties which differed in strength for different soil types. The wet packing method consistently showed less polarization in the lower frequency range and a higher polarization in the higher frequency range compared to the undisturbed samples. The moist packing method in most cases seems to add some structure to the pore space, leading to a higher overall polarizability and a favoured relaxation time in the relaxation time distribution. We conclude, that the use of undisturbed samples is essential for any kind of quantitative calibration of relationships between spectral complex electrical and hydraulic properties, even though it means more effort in sampling.
Responsible Party
Creator(s):Author: Matthias Kelter
Publisher:CRC/TR32 Database (TR32DB)
Topic
TR32 Topic:Soil
Related Sub-project(s):A3
Subject(s):CRC/TR32 Keywords: PhD Report
File Details
File Name:Kelter_2015.docx
Data Type:Text
File Size:2078 kB (2.029 MB)
Date(s):Date Submitted: 2015-02-01
Mime Type:application/vnd.openxmlformats-officedocument.wordprocessingml.document
Data Format:MS word
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:-no map data
East:-
South:-
West:-
Measurement Region:Kall
Measurement Location:Rollesbroich
Specific Informations - Report
Report Date:1st of February, 2015
Report Type:PhD Report
Report City:Jülich, Germany
Report Institution:Institute of Bio- and Geosciences (IBG-3), Research Center Jülich
Further Informations:TR32 Student Report Phase II
Metadata Details
Metadata Creator:Matthias Kelter
Metadata Created:2015-09-15
Metadata Last Updated:2015-09-15
Subproject:A3
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:151
Metadata Downloads:0
Dataset Downloads:1
Dataset Activity
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