Scholarly record

CORRELATION BETWEEN BASIC DEPOSIT PARAMETERS AND DISTANCE FROM ELEVATION OF WEISSLIGEND TOP IN CU-AG LUBIN DEPOSIT (LUBIN-GLOGOW COPPER DISTICT, SW POLAND)

Mariusz Dudek

Abstract

The Polish Cu-Ag deposits on the Fore-Sudetic Monocline are characterized by the occurrence of sedimentary structures called the elevations of the Weissligend top. These are elongated forms in the shape of sandy shafts whose occurrence affects the change in the value of deposit parameters (including reduction of the shale series's thickness). In the Lubin deposit, these elevations are the least well-known among all such structures in the entire Lubin-Glogow Copper District (LGCD). The basic material of the study was the results of systematic sampling of the deposit in mining excavations conducted by the geological service of the mine. They contain information about the location of the sample in space, thickness of individual lithological units at sampling sites, and the content of main elements and accompanying components in the samples taken. The article presents the results of research on correlation relationships between the values of basic deposit parameters (thickness of the shale series, copper abundance and average copper content in the economic resources) and the distance from the elevation peaks. These peaks were designated by the author arbitrarily on the basis of isoline maps of the thickness of the shale series. The distance of each point to the peak of the elevation was calculated using a script written in Python according to the principles of analytical geometry. The next step was to select several test areas for which a correlation and linear regression analysis was performed. The obtained results indicate a statistically significant, but moderately strong, positive correlation between the shale series thickness and distance from the peak with linear correlation coefficients from the range of 0.4-0.6 and the determination coefficients from the range of 20-45%. In the case of correlation of copper abundance and distance from the elevation peaks, this coefficient takes on smaller values and the direction of correlation depends on the selected area (some elevations are rich in copper, while others may be completely gangue). The correlation results of the average copper content in the balance sheet and the distance from the peak of the elevation show a very weak or complete lack of connection between these parameters. Additionally, the polynomial and nonlinear regression analysis performed for all parameters showed only insignificant improvement in correlation strength.

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DOI resolver: doi.org/10.5593/sgem2019/1.1/s01.016

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