deposits of radioactive elements, define the region with low level of uranium in groundwater. The second region is associated with the northern Ukraine and includes a part of the Ukrainian Shield. Low content of uranium, observed in this area, is associated with the predominance of precipitation. Some geochemical anomalies in this area, such as increased radioactivity, are related to local outcrops of crystalline rocks of the Ukrainian Shield. The third region, located in the north-eastern part of Ukraine, includes the Dnieper-Donetsk basin and forest-steppe landscapes with predominantly dry climate. This area has geological structures containing non-industrial uranium deposits, which increase the dissolved radioactive elements in the water. The fourth region is represented by the central part of the Ukrainian Shield and the Black Sea Depression. The arid climate of the steppe and substantial deposits of uranium ore conduce to high concentration of uranium in groundwater, creating ecologically dangerous anomalies. Two methods, Minimum Spanning Tree on PCA factors (Figure 5d) and ISO on primary variables with spatial weights (Figure 5g), outlined two the Ukrainian Shield with predominance of geological factors and the Black Sea Lowland with prevailing climatic factors. This group also includes Crimean Mountains as part of the Alpine geosynclinal system. The fifth region encompasses Donetsk folded structures and is subdivided into two subtypes with predominance of natural uranium content (related to bedrock of the Ukrainian Shield) and climatic factors of increased salinity of groundwater in the eastern part of the region. Figure 6 (right) illustrates the proposed zoning areas. Conclusion Combining techniques of hierarchical and non-hierarchical classification of geological, climatic, and various environmental parameters coupled with geostatistical analysis allowed to identify six regions of distribution of natural radioactive elements in groundwater in Ukraine. The resulting zoning has hierarchical structure which makes it more flexible and evolutionary adaptive in making decisions in geological studies, environmental assessment, and use of groundwater. The future research are aimed at enhancement of the current model by exploring alternative methods of supervised and semi-supervised learning, including Support Vector Machine (SVM), Radial Basis Function (RBF), and Bayesian networks techniques.
deposits of radioactive elements, define the region with low level of uranium in groundwater. The second region is associated with the northern Ukraine and includes a part of the Ukrainian Shield. Low content of uranium, observed in this area, is associated with the predominance of precipitation. Some geochemical anomalies in this area, such as increased radioactivity, are related to local outcrops of crystalline rocks of the Ukrainian Shield. The third region, located in the north-eastern part of Ukraine, includes the Dnieper-Donetsk basin and forest-steppe landscapes with predominantly dry climate. This area has geological structures containing non-industrial uranium deposits, which increase the dissolved radioactive elements in the water. The fourth region is represented by the central part of the Ukrainian Shield and the Black Sea Depression. The arid climate of the steppe and substantial deposits of uranium ore conduce to high concentration of uranium in groundwater, creating ecologically dangerous anomalies. Two methods, Minimum Spanning Tree on PCA factors (Figure 5d) and ISO on primary variables with spatial weights (Figure 5g), outlined two the Ukrainian Shield with predominance of geological factors and the Black Sea Lowland with prevailing climatic factors. This group also includes Crimean Mountains as part of the Alpine geosynclinal system. The fifth region encompasses Donetsk folded structures and is subdivided into two subtypes with predominance of natural uranium content (related to bedrock of the Ukrainian Shield) and climatic factors of increased salinity of groundwater in the eastern part of the region. Figure 6 (right) illustrates the proposed zoning areas. Conclusion Combining techniques of hierarchical and non-hierarchical classification of geological, climatic, and various environmental parameters coupled with geostatistical analysis allowed to identify six regions of distribution of natural radioactive elements in groundwater in Ukraine. The resulting zoning has hierarchical structure which makes it more flexible and evolutionary adaptive in making decisions in geological studies, environmental assessment, and use of groundwater. The future research are aimed at enhancement of the current model by exploring alternative methods of supervised and semi-supervised learning, including Support Vector Machine (SVM), Radial Basis Function (RBF), and Bayesian networks techniques.
T4-892_1428601745.docx