International Conference of Young Professionals «GeoTerrace-2025»

Coal mining activities in the Western Donbas cause significant transformations of the geological environment, leading to the activation of hazardous engineering–geological processes. The study was carried out on the territory of DTEK “Pavlohradvuhillia” PJSC which comprises ten mining fields with a total area of 499.66 km², making it one of the most industrially loaded coal-mining regions of Ukraine. The purpose of the research was to determine and classify the geological environment according to its stability under the influence of natural and anthropogenic factors, as well as to identify the most vulnerable areas. The methodology is based on the analysis of 14 natural and anthropogenic factors selected in accordance with regulatory documents. Spatial analysis was conducted using a 300 × 300 m grid. Each factor was assigned a weight coefficient (1–4 points), which made it possible to calculate the cumulative risk index normalized to 100%. Based on this index, the geological environment was divided into four types: stable (0–25%), conditionally stable (25–50%), low-stability (50–75%), and unstable (75–100%). The results showed that 38.70% of the study area belongs to stable territories, 44.14% to conditionally stable, 14.92% to low-stability, and 2.24% to unstable ones. The most critical zones are concentrated within the Zakhidno-Donbaska, Ternivska, and Samarska mines, where the combination of flooding, waste dumps, and dense infrastructure significantly reduces environmental stability. The proposed methodology provides a scientifically grounded basis for the development of monitoring systems and spatial planning in mining regions, supporting timely forecasting and mitigation of ecological and technogenic risks.

Monitoring the atmosphere is essential for understanding short-term variability and long-term climate trends. Global Navigation Satellite Systems provide continuous information about the troposphere by estimating the zenith tropospheric delay. This study investigates a multi-year series of zenith tropospheric delays at six stations of the ASG-EUPOS network in Central Europe. The objective is to assess seasonal and interannual variability and evaluate these series’ potential for regional climate monitoring. The observations were processed using the GipsyX software package with the Precise Point Positioning technique. The processing relied on precise satellite orbits and clocks, Earth orientation parameters, and the Vienna Mapping Function 1 for tropospheric modelling. The outputs included time-tagged estimates of total, hydrostatic, and wet delays, horizontal gradients and station coordinates. Quality control and homogenization procedures were applied to ensure stability and consistency. The results demonstrate a clear annual cycle at all stations, with maxima during summer and minima in winter. The wet delay exhibits substantial variability reflecting atmospheric moisture, while the hydrostatic component remains relatively stable. Differences between stations are linked to local climatic conditions, but the overall patterns are coherent across the network. In conclusion, long-term zenith tropospheric delay series derived from Precise Point Positioning are homogeneous and reliable geophysical records. They provide valuable information for regional climate studies and establish a robust basis for future derivation of integrated water vapour and for linking GNSS meteorology with hydrological and climatological applications.

This study applies a pragmatic multi-criteria approach to identify areas with elevated probability of agricultural land abandonment in Vyhoda territorial hromada (Pre-Carpathians, Ukraine). Using Sentinel-2 L2A imagery, a 1-arcsec SRTM DEM and infrastructure layers from OpenStreetMap, seven spectral indices were computed and screened, and NDVI, MSAVI2 and a red-edge chlorophyll index (RECI) were retained as core spectral predictors. These indices were combined with three contextual layers (slope, Euclidean distance to roads, Euclidean distance to settlements). All rasters were normalised, reclassified to a common 1–5 suitability scale and integrated by Weighted Overlay in ArcGIS Pro to produce a five-class abandonment-probability surface. The resulting map shows clear spatial structure: high-probability clusters are concentrated mainly in the southern and north-eastern parts of the hromada, where steep terrain, fragmented parcels and limited accessibility coincide, while central areas near settlements and roads are dominated by low-probability classes. Targeted photographic field evidence and visual checks in very-high-resolution imagery corroborate successional overgrowth and loss of field boundaries on several parcels flagged as high probability, providing qualitative validation. It is recommended to interpret the map as a prioritisation tool for targeted field verification and local planning rather than as conclusive parcel-level proof. To strengthen inference and enable wider application, we recommend a parcel-level accuracy assessment, multi-date time-series analysis to separate persistent abandonment from temporary fallow, and replication of the workflow in a scalable environment.

The impact on natural waters is particularly critical when using the underground well leaching method. Therefore, mitigating the negative effects on natural waters to an acceptable level is the cornerstone of uranium extraction using this method. The aim of the work: to determine the mechanisms of formation of the chemical composition of groundwater in the alluvial aquifer in the area of influence of the Safonivske uranium deposit, which is promising for uranium extraction using the underground well leaching method. In the waters of the study area, albite, halite, anhydrite, gypsum, anorthite, chlorite, and talc are dissolve, and aragonite, calcite, Ca-montmorillonite, and illite are precipitate. The concentration of Ca²⁺ is determined by the dissolution of carbonate minerals and the precipitation of Ca-montmorillonite. The concentration of magnesium is determined by a combination of chlorite and talc dissolution processes and illite precipitation. Quartz and Ca-montmorillonite precipitation is possible across the entire pH range, while chlorite precipitation occurs at pH values > 7.6–7.8 units. The processes of carbonate minerals and hematite precipitation occur in all waters, with the exception of two wells located in the town of Bashtanka, whose water is characterized by more acidic pH values compared to others. Goethite precipitation occurs in the waters of all wells at all pH values.

There was a new construction site within the existing dense urban development in the Pechersk District of Kyiv. The influence zone of the new construction included the following buildings surrounding the new development: four residential five-storey buildings and one two-storey non-residential building. Three of them were located on the Klovskyi Slope and two - at its foot. The results of assessing the slope stability and impact on the deep pit fencing showed the necessity of their monitoring. According to the preliminary calculations, the maximum horizontal displacements (up to 56 mm) had to be experienced by the contour of the inner pit fencing. On the lines of the complicated slope relief, in the direction of the pit, three inclinometric boreholes were arranged between the pit fencing (a few meters from it) and existing development buildings. The boreholes depths had to provide the complete information about soil deformation processes. The experimental results of inclinometric studies proved the absence of the soil masses significant displacements in the inclinometric boreholes arrangement area. The inclinometric observations made it possible to control the displacements of soil masses, the activity of which could lead to the deformation processes in the buildings and territories of the surrounding development adjacent to the construction site. The landslide processes control made it possible to safely carry out the construction work, as well as to ensure the residents safety in the vicinity of the construction site.

The results of the implementation of one of the effective variants of the methodology for specifying the hypocenter of earthquakes in the Boryslav – Stebnyk area (Ukrainian Precarpathians) are presented. The relevance of the study is associated with the complex, significantly inhomogeneous depth-spatial velocity structure of the earth’s crust in the subregion. Traditional approaches to the hypocentering of earthquakes using horizontally layered crust models and corresponding hodographs give significant (up to several km in coordinates and depth) errors in the localization of the foci of local seismic events. To eliminate them, we, among others, proposed and implemented an approach that takes into account the real velocity structure of the earth’s crust in the subregion according to regional profiles data. The corresponding methodology was implemented using modern computer and GIS technologies, as well as specially developed software. The results of its application are illustrated by the example of the karst-collapse technogenic earthquake of 2017 near Stebnyk, for which the factual localization of the focus is precisely known.

This study addresses the development of scientifically grounded approaches to land plot selection for post-war reconstruction projects. Using the Bucha district of Kyiv region as a case study, the research demonstrates the potential of geoinformation modeling to integrate heterogeneous datasets into a unified information environment. OpenStreetMap data served as the primary input for thematic mapping; however, the methodology is designed to incorporate satellite imagery, UAV photogrammetry, digital elevation models, and cadastral records. The proposed approach combines UML-based modeling, geoinformation analysis, and multi-criteria evaluation. Results confirm the effectiveness of geospatial technologies for reconstruction planning, highlighting their potential to build transparent spatial planning systems aligned with community needs and international standards.

This study develops and tests a GIS-based methodology for modeling the distribution of microelements in surface waters using the Triangulated Irregular Network (TIN) interpolation method. The approach was applied to historical hydro-lithochemical survey data from the Poltava Region (Ukraine) to spatially interpolate barium (Ba) concentrations and identify zones exceeding established critical thresholds. The methodology integrates stages of data preparation, geocoding, interpolation, classification, and spatial analysis, followed by quantitative assessment of contaminated areas. Barium was selected as the primary indicator due to its high sensitivity to anthropogenic impacts and the completeness of available datasets for two survey periods (1985–1988 and 1991–1993). Statistical analysis revealed a lognormal distribution of Ba concentrations, justifying the choice of the TIN method for preserving local spatial variability. Interpolated surfaces were clipped to administrative boundaries, and exceedance zones were extracted as vector layers for area calculations using geodetic parameters of the WGS84 ellipsoid. The results demonstrated a significant increase in the exceedance area from 2,408.62 km² (4.24% of the region) in 1985–1988 to 21,354.60 km² (37.55%) in 1991–1993. These findings indicate a substantial expansion of contamination zones over time, highlighting the influence of anthropogenic activities and environmental changes. The developed methodology is adaptable to various regions and chemical components, providing a reliable framework for environmental monitoring and risk assessment. It can be applied to contemporary datasets for rapid evaluation and long-term observation of surface water quality, supporting decision-making in environmental management and conservation planning.

Wind energy is the industry that occupies a leading position among all types of renewable energy sources. Climate factors, such as wind direction and speed, play an important role in the development of this energy sector. Lviv region is at the forefront of wind energy projects in western Ukraine. In 2025, wind farms with a total capacity of over 89 MW are in operation in the region. Lviv region is a leading region in western Ukraine in terms of wind energy development prospects due to its favourable geographical location. The average annual wind speed in the region is 2.7 m/s, with the highest wind speeds in January and November (3.2 m/s) and the lowest in August (2.0 m/s). The wind speed and mean power density were estimated based on geodata from the Global Wind Atlas resource at heights of 50 and 100 m. The highest rates are typical for the ranges of the Skybovi Carpathians, the uplands of the Peredkarpattia and the Podilska Upland.

In the course of the study, a set of engineering and geodetic methods was applied to control the technical condition of the building. The results of high-precision geometric leveling of deformation wall benchmarks embedded in the foundation structures; tacheometric surveying to determine the roll parameters are presented. An important task was to choose a methodology for obtaining reliable information about the deformation of the building. Deformation wall benchmarks were embedded in the foundation structures and control indicators were installed for further monitoring of the roll of wall planes. In addition, the initial geodetic parameters were determined to create a system of continuous monitoring of the condition of the building. A feature of monitoring the deformation of this building is that the object belongs to an architectural monument of local importance. Restoration work is planned for this building. That is why a comprehensive survey of existing deformations and monitoring of further changes is important. The subsidence of the building was determined for the period 13.11.2024 - 12.05.2025. The results indicate a lowering of the wing in the area of benchmarks 11–17 by an amount from 3 mm to 7 mm. The maximum subsidence was recorded at benchmark 19 (−11.7 mm), installed at the corner of the building. The results of determining the change in the tilt of the building walls for the above period in 17 out of 20 controlled points do not exceed 5 mm. In general, the inclination of the walls outside the building was recorded with a maximum value at point 12 of 10 mm. Taking into account the architectural and historical value of the structure, further studies provide for multi-level technical monitoring in order to substantiate the optimal methods of preserving the monument.