Issue |
E3S Web Conf.
Volume 66, 2018
AG 2018 - 4th International Conference on Applied Geophysics
|
|
---|---|---|
Article Number | 01007 | |
Number of page(s) | 8 | |
Section | Geophysics in Geoengineering | |
DOI | https://doi.org/10.1051/e3sconf/20186601007 | |
Published online | 26 November 2018 |
ERT method in the study of chemical pollution of the hydrogeological environment - numerical analysis of 2D and 3D models
AGH University of Science and Technology, Faculty of Geology, Geophysics and Environment Protection, Kraków, Poland
* Corresponding author: bania@agh.edu.pl
Electrical resistivity tomography (ERT) method is often used to solve problems related to chemical pollution of the hydrogeological environment. The source of such contamination can be, e.g. industrial heaps, tailings ponds and municipal landfills. The contaminants spreading often takes the form of a (3D) pollution tongue. In this case, the standard interpretation of 2D ERT surveys may be difficult. Numerical modeling was carried out in order to show the specificity of pollutants propagation. Both 2D and 3D models were analysed. Those refer to the real geological situation - vicinity of Nowa Huta (Krakow, Poland) - where heaps and tailings ponds of the metallurgical plant are present. An appropriate geoelectrical model referring to the above situation was prepared. It was assumed that highly mineralized waters in the form of a contamination tongue are spreading within the aquifer. Resulting interpreted resistivity distributions for 2D and 3D variant of ERT method were analysed. It has been shown that the method is promising in terms of the ability to detect and assess the nature of the transitional zone between clean and contaminated waters. Additionally, it has been shown that 3D modeling can be a useful, complementary element in interpreting the results of DC-resistivity methods.
Key words: DC-resistivity method / ERT / Electrical resistivity tomography / Modeling / Groundwater pollution
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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