Dissertation for obtaining the candidate degree in Geological Sciences, specialty 04.00.05 – Geological Informatics. – Taras Shevchenko National University of Kyiv, Ministry of Education and Science of Ukraine. – Kyiv, 2021.
The research is devoted to the assessment of landslide hazard within the Middle Dnieper region at the regional and local scale, using a optimized complex technique including geological-geomorphological, geophysical methods and infrared thermography, GIS, deterministic modeling.
Landslides within Middle Dnieper region are triggered by hydrometeorological, geological and morphological factors. They have a complex morphology and structure due to different lithological, stratigraphic, tectonic and hydrogeological conditions.
The comprehensive application of geological and geomorphological methods made it possible to identify the relationship between the processes of geomorphogenesis and tectogenesis within the Middle Dnieper region, identify the causes of gravitational geological processes, and build a series of spatial models, which describe the impact of geomorphological and tectonic processes on the natural hazards.
Based on the stepwise morphostructural-neotectonic analysis are identified and characterized three blocks, that named Kyiv, Obukhiv, Kanivsko-Trakhtemyrivsky.
Based on a complex of techniques including geological, geophysical, thermography surveying, remote sensing and deterministic modeling, the main features and the areas of potential development of landslide processes within model sites of the Middle Dnieper region were identified. These techniques were applied to investigate the lithostratigraphic sequences, the geometry of landslide body and potential mass movement. Combining the data from these methods was enables to identify fracture zones and areas with high water saturation, as well as, identify early signs of formation of new displacement. It was allows the detection of sub-surface structure peculiarities, thus making it possible to confirm the existence of potential sliding zones. The obtained data was used for large scale prediction of landslide hazards and assessment of slope stability for the reference models within each block. Thus, the reference models within each block for the calculation of the slope stability were created, and a set of preventive measures to minimize and avoid their negative effects were proposed.
Keywords: hazardous geological processes, landslide hazards, structural morphometry, spatial data analysis, monitoring, Electrical Resistivity Tomography (ERT), Infrared Thermography (IRT), GIS, modeling, forecasting, calculation of slope stability.
