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Analiza przestrzenna zawartości miedzi w środowisku gruntowo-wodnym Legnicko-Głogowskiego Okręgu Miedziowego

Namysłowska-Wilczyńska B., Pyra J.

Roczniki Geomatyki

2005

T. 3, z. 4

137-147

The paper presents the results of the application of geostatistical methods to the spatial analysis of the variation of Cu content in the soil-water environment of the Legnica-Głogów Copper District . an industrial area with the predominance of copper ore mining and smelting in the industrial mix. Semivariogram function analysis, ordinary kriging and kriging with external drift, were used to analyse the environmental conditions. The comprehensive set of soil Cu content data was characterized by a large number of samples (n = 908) uniformly covering the area of LGCD. The data were the determinations of the Cu content in the near-surface layer of soil. The empirical Cu content semivariograms were approximated by the spherical model, the exponential model and the linear model combined with the nugget effect. Cu content averages Z were estimated at 6120 nodes of an elementary grid using ordinary (point) kriging. The elementary field dimensions were 1km´1km. The data sets for underground waters were based on a much smaller sample size (n = 31). The information, on Cu content, was collected from a network of piezometers and wells irregularly located over the analysed area. Similarly as for soil, semivariograms were computed for the Cu content in underground waters. Then the semivariograms were approximated by the spherical model and the linear model with the nugget effect. Taking into account the parameters values of the theoretical models fitted to the semivariograms, averages Z of the Cu content in the waters at 6120 nodes of the same elementary grid as the one adopted for soil were estimated using ordinary kriging. Then kriging with external drift was applied to estimate underground waters Cu content averages Z*. The data from the preceding ordinary kriging computations, i.e. estimated averages Z of the Cu content in the surface layer of soil, were used. The raster maps of the distributions of averages Z, i.e. the kriged estimates of soil contamination with Cu, constituted the background (external drift) used for the more accurate computation of underground waters Cu content averages Z The detailed analysis of the different factors which affect the spatial distribution of the elements content in the environment, such as the geological structure of the subsoil and the surface formations, the environment.s pH, the atmospheric factors and the effects of the mining and smelting operations, made it possible to determine more precisely the genesis of the analysed elements content in the natural environment and to classify it as pollution or natural geochemical enrichments.