AGH University of Science and Technology, Faculty of Geology, Geophysics and Environmental Protection,
Krakow, Poland
2
PBG Geophysical Exploration Ltd., Wrocław, Poland
Submission date: 2018-09-10
Final revision date: 2018-11-22
Acceptance date: 2018-12-03
Online publication date: 2019-08-02
Publication date: 2019-10-23
Corresponding author
Robert Duda
AGH University of Science and Technology; Faculty of Geology, Geophysics and Environmental Protection, al. A. Mickiewicza 30, 30-059 Krakow, Poland.
Various types of landfills pose a direct threat to groundwater. Polluted groundwater is characterized
by significantly reduced electrical resistivity. Geophysical methods – in particular DC-resistivity
methods – are sensitive to this physical parameter. Applying these methods can allow for a spatial
assessment of the groundwater quality near the landfills. The key with that approach is to recognize
the geoelectrical structure of an area prior to the existence of a landfill. This information will allow for
a geoelectrical background, which would most likely be an image of the natural and uncontaminated
study area. Subsequent measurements will be more effective due to the possibility of comparing the
current state of the area to the original state. This paper presents an example of such a study. Here,
the research area of interest was located in the vicinity of an inactive tailings disposal site. In order to
assess the pollution of the groundwater, a vertical electrical sounding method was applied. The results of
modern measurements were compared with those from the reinterpretation of the data obtained several
decades ago. The selected geoelectrical method proved to be effective, allowing for the determination of
the range of contaminated groundwater in regions that were not covered by traditional hydrogeological
monitoring by a piezometer network. Repetition of vertical electrical sounding in the future will allow
for tracking the displacement of pollution within the aquifer.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
CITATIONS(1):
1.
Non-invasive geophysical imaging and facies analysis in mining tailings R. Mollehuara-Canales, E. Kozlovskaya, J.P. Lunkka, K. Moisio, D. Pedretti Journal of Applied Geophysics
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