Purpose. Establishment of regularities of the high-altitude and exposure distribution of mudflow sites in the basins of the rivers Teresva, Tereblya, Rika, Bila and Chorna Tysa, as well as connection between the landslide and mudflow processes. Methodology. Digital terrain modeling of the basins of the rivers concerned. Spatial overlay analysis of distribution of mudflow sites, metric operations to obtain the data of the high-altitude and exposure positions and prevailing slope angles. Factor analysis identifying the direct and indirect effects of the high-altitude position of the mudflow potential sites onto mudflow formation, usage of the statistical criteria for significant characteristics selection. Graphical visualization of the influence of synthesis of the high-altitude position and slope angle onto the development of mudflows. Regression analysis of the regular connection availability between the mudflow and landslide processes. Findings. Regularities of distribution of mudflow sites according to the factor characteristics: absolute altitude, slope angle, slope exposure and availability of landslides in the basins of the rivers concerned are identified. Originality. The geoinformation modeling was used for the first time to identify the regularities of the mudflow development in relation to spatial factor characteristics for the basins of the rivers: predictor of the "absolute altitude" and revisers of the "slope angles" and "slope exposure". The histogram analysis of the high-altitude distribution of the mudflows and landslides in the basins of the rivers mentioned was used to determine the connection availability between their development and high-altitude position. Functional dependencies are presented in the form of linear and quadratic regression dependencies showing the relative contribution of the features and indicating the respective levels of significance. Practical value. The determined regularities can be used to identify potential sites of mudflow in the basins of the rivers Teresva, Tereblya, Rika, Bila and Chorna Tysa at known values of altitudes, slope angles and slope exposures and occurrence of the landslide processes on some high-altitude areas. The regression dependencies may be considered when carrying out the mathematical and prognostic geoinformation modeling of the mudflow phenomena development according to the following algorithm: establishment of similar regression and functional dependencies between other factors of mudflow formation, their combination according to the regularities shown in the article, forecasting of the mudflow hazards based on the formed multifactor multiple model.

Purpose. To show the effectiveness of application of method of natural pulsed electromagnetic field of the Earth (NPEMFE) in issues of spatial prediction of the earth's surface deformation, for assessing the karst hazard within territories with exhausted salt deposits. Improvement of existing methods of interpretation of data obtained as a result of applying of NPEMFE by involving geodetic information. Methodology. Processing the information obtained as a result of measurements of the NPEMFE with the help of GIS-technologies. Spatial combination of data interpretation results obtained through the NPEMFE method with results of geodetic observations. Findings. The image of the spatial combining of NPEMFE intensity maps and the earth surface subsidence is constructed. The hypothesis that the anomalies of NPEMFE are a direct indicator of displacement of the earth's surface is proved. Originality. For the first time, on the example of the territory of the Stebnyk potassium salt mining field, the results of topogeodetic survey and those of the geophysical method of NPEMFE have been compared. Connection of geodetic and geophysical data and a significant level of their correlation is proved. This gives grounds for considering the NPEMFE method as a predictive in terms of forecasting the development of deformation processes of the earth's surface. Practical value. The improvement of the method for interpreting the NPEMFE data by involving geodetic information is proposed.