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On the basis of data from long-term monitoring studies carried out in the impact area of the Smolnica coal mining waste disposal site in the Upper Silesia Coal Basin (Poland), the extent and propagation of originally good groundwater quality degradation that resulted from infiltration to the Quaternary aquifer of contaminants leached from the disposal site, as well as major trends of the natural water quality alteration were evaluated. For assessment of spatial and temporal groundwater quality trends in the vicinity of the disposal site, geostatistical methods were applied. Water quality alteration trends were monitored with use of two major constituents: chlorides and sulfates showing significant changes in time and space. The spatial variability was assessed with use of the GeoEas and Surfer models; for data aggregation and trend analysis, the SigmaPlot was used; preliminary data analysis was accomplished with use of the Statgraphics Plus for Windows software. The hydrogeochemical background of two analyzed compounds for each separate hydrogeochemical zone in the waste disposal area was simulated by a probabilistic method. Time- and space-dependent characteristics of chloride and sulfate distribution along with assessed data for the hydrogeochemical background provided a basis for the long-term evaluation of the groundwater chemical composition and deterioration rate variability in the area of the mining waste disposal site.
Ewa Kmiecik,Sebastian Stefaniak,Jadwiga Szczepanska, andIrena Twardowska
"Evaluation of temporal and spatial trends of groundwater quality alteration in the area of mining waste disposal site", Proc. SPIE 5586, Advanced Environmental, Chemical, and Biological Sensing Technologies II, (7 December 2004); https://doi.org/10.1117/12.581341
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Ewa Kmiecik, Sebastian Stefaniak, Jadwiga Szczepanska, Irena Twardowska, "Evaluation of temporal and spatial trends of groundwater quality alteration in the area of mining waste disposal site," Proc. SPIE 5586, Advanced Environmental, Chemical, and Biological Sensing Technologies II, (7 December 2004); https://doi.org/10.1117/12.581341