GIS assessment of copper-zinc deposits under conditions of underground mining

The purpose. The main purpose of the study is the identification of natural and technological types and grades of ores, followed by their spatial zoning within the studied deposit. Methods. The methods of interpolation and approximation of the initial data were used to display the surface relief and distribution of minerals. The choice of method depends on the amount of initial data and its uniformity. For spatial interpolation, the Kriging and radial basis functions methods were used, which allows us to identify general patterns of distribution of the studied parameters. For fast data evaluation with a large number of points, the methods of minimum curvature and triangulation are used. The results of the study include the creation of a digital model of the deposit, mapping of mineral deposits with analysis of spatial changes, and estimation of copper and zinc reserves. The use of GIS made it possible to visualize the three-dimensional distribution of minerals in the wells, which simplified the analysis and improved its quality. Originality. The scientific novelty of the study lies in the improvement of the methodology for analyzing geological results at the stage of mining work planning, when the main strategic decisions regarding deposit development in the product quality management mode are made. The methodology allows for a reliable assessment and zoning of ore deposits based on qualitative characteristics. Practical implementation. The practical significance of the work lies in the use of GIS in the development of a system for comprehensive technical-ecological-economic assessment of the effectiveness of measures for managing the quality of mineral raw materials in complex conditions, where reserves of valuable mineral raw materials are concentrated in thin and very thin ore veins. The choice of technology for managing the quality of mineral raw materials is based on the results of the assessment of the qualitative characteristics of minerals, the identification of natural types of ores in the ore massif based on geological information, the substantiation of the characteristics of technological types of ores, and their zoning in the underground space using geoinformation modeling.