The city of Ust-Kamenogorsk, East Kazakhstan region, annually has a high risk of flooding and flooding of territories caused by spring snowmelt. These extreme phenomena are one of the most dangerous natural disasters, as they cause enormous socio-economic damage to the coastal settlements of the city. In the flood zone, agricultural and residential facilities, as well as engineering and technical infrastructure facilities are indicated. In some years, the funds allocated by the local buzhet to restore the damage caused by the disaster are not enough. One of the most effective means of stopping the consequences of such natural phenomena is an early warning system. Forecasting and modeling of hydrological phenomena can be provided using new IT technologies, some of which are Geoinformation technologies (GIS technologies) based on the cartographic method. In addition to modern advanced data processing methods in the GIS environment, the article presents a water collection design for emergency protection by calculating the main influencing factors of flooding and determining specific scales of flood levels in river valleys near settlements, determining the area of reservoirs collected at a risk control point at specific flood sites, as well as analyzing the detected ers material. The prospects for the use of GIS technologies as a means of forecasting and modeling floods caused by annual floods during the spring snowmelt period are also outlined, an analysis of the real situation is carried out, and a simple design of the shore for use in extreme conditions during periods of flooding is given.

This article discusses the issue related to the prospects for the introduction of an automated control system for urban passenger transport in the city of Ust-Kamenogorsk, which includes: “Management of passenger transportation by road” on the 1C: Enterprise platform; assessment of the difficulty of communication by constructing an isochron; forecasting the need for the number of buses using fuzzy logic and sets; conclusion of the result in GIS, namely in the application “OckemenBus”. The initial stage of the system includes the task of systematization and storage of information about the urban passenger transport system using the 1C: Enterprise platform. It is also possible to store calculated information on transport performance indicators. To determine the quantitative indicators of assessing the accessibility of the center, isochronograms were calculated and constructed taking into account the movements of the city's population in all ways. The calculation of the isochronogram indicates the transport problems of growing neighborhoods located on the left bank of the Irtysh River, the city of Ust-Kamenogorsk. Further, using the theory of fuzzy logic and fuzzy sets, it is possible to make changes to the UPT movement scheme using the standard interface of the geoinformation system shell. It should be noted that the proposed model for optimizing the movement of urban passenger transport using the 1C platform, the construction of an isochronogram, the theory of fuzzy logic and fuzzy sets and GIS allows you to organize the work of urban passenger transport.

In 2023 there was a severe forest fire on the territory of the Semipalatinsk Forest. More than 60 thousand ha were burned. This resulted in high environmental costs, destroying trees, real estate, recreational and even human lives. One of the most pressing issues was the determination of the origin and spread of forest fires. In such cases, remote sensing data is a spatial and temporal measure to obtain fast and accurate data to prevent the further spread of the fire and to neutralize this natural disaster. Using such geospatial information, it is possible to prioritize preventive measures to reduce the risk of forest fires and identify mitigating factors to increase the likelihood of immediate fire suppression in threatened areas. This work proposes to assess the fire potential and to determine the hazard potential. This is done by analyzing and mapping the area of the fire that has occurred. The mapping of the fire potential was approached from a remote sensing point of view by estimating and mapping the total vegetation cover using Landsat-8–9 OLI/TIRS DATA and the geographic information systems QGIS, SAGAGIS. A morphometric, spatial analysis of conditions was also conducted, taking into account many factors affecting fire potential—land exposure, aspect, wind direction, fire statistics, population density, climatic characteristics, etc. As a result, an attempt was made to create indices RBR, RdNBR, dNDVI, dGNDI, GEMI and BAI, which could be the basis for the determination of fire potential. These indices are based on the type of tree, the vegetation and the topographic features. These characteristics make it possible, after the classification of the Landsat images, to evaluate the reliability of the information obtained by determining the area of the fire through the Object Based Image Analysis segmentation method and by assessing the accuracy of the detected data. The index values identified were consistent with reliable information for identifying fire locations and monitoring estimated fire risk. They could be used to map fire potential from regional to local scales.

Rare-metal pegmatite–greisen systems are commonly small, structurally controlled, and difficult to delineate using conventional mapping alone. This study proposes a multiscale remote-sensing workflow for prospecting Li–Nb–Ta–Cs mineralisation in the Kalba–Narym rare-metal belt (East Kazakhstan) by integrating Sentinel-2 multispectral imagery, UAV-derived centimeter-scale orthomosaics, structural (lineament) analysis, and field-based mineralogical–geochemical validation. Sentinel-2 responses were first calibrated using known occurrences to derive alteration proxies related to greisenisation, silicification, Na-metasomatism, and oxidation. These proxies were combined into an Integrated Hydrothermal Alteration Index (IHAI) to highlight areas where multiple alteration processes overlap. Lineament mapping from Sentinel-2 and DEM products indicates dominant NW–SE and NE–SW structural trends, zones of elevated lineament density and intersection systematically coincide with high IHAI values. UAV orthomosaics refine satellite-scale anomalies by resolving quartz-vein networks, fracture corridors, and surface-alteration textures that are not detectable at 10–20 m resolution. Mineralogical and geochemical data confirm that high-IHAI targets correspond to albitised pegmatites and greisenised rocks enriched in Li, Nb, Ta, and Cs. The results demonstrate that combining freely available Sentinel-2 data with UAV observations and targeted ground validation provides a cost-effective and transferable framework for reducing false positives and prioritising exploration targets in structurally complex granitoid terranes.

The article discusses the engineering geological conditions for the cadastral assessment of urban lands, in value terms, the calculation of the area of distribution of hazardous substances in the atmosphere from industrial and other waste sources. The method of zoning territories by pollution level and a cartogram of distribution of hazardous substances in the atmosphere by allocated territories were provided. The following factors and their influence were studied in detail: spatial planning, zoning, cost of land development, engineering and transport infrastructure, physical properties of land, environmental conditions of air, water, soil, nature of construction, nature of the settlement, wind direction. The basis of obtained quantitative, qualitative data, determination in specific territories using geoinformation systems technology (GIS) was considered. The algorithm for assessing the state of atmospheric air in real time includes the integration of the obtained data and modeling the current state of the atmosphere. The study was conducted in the city of Ust-Kamenogorsk, where there are several industrial plants, such as Kazzinc, Ulba Metallurgical Plant (UMP), Titanium Magnesium Plant (TMP). The study results and the calculated coefficients for assessing the atmospheric pollution allow us to draw individual conclusions on the territory of a zoned city. The practical value of the work is providing an algorithm for assessing the state of atmospheric air in real time using the presented results, modeling the state of atmospheric air in each point of the city and qualitative assessment of regions for environmental friendliness in the cadastral system.

This study examines the modernization of the 61-4179 TVZ passenger coach for transporting light automobiles up to 3 tons, addressing the efficiency of multifunctional rail use. The objective was to assess how additional mass–dimensional loading influences strength, load distribution, and the dynamic stability of the vehicle–track system. Finite element simulations in ANSYS Workbench 2021 R2 determined stress distribution, deformations, and safety margins, while multibody dynamics modeling in Universal Mechanism evaluated wheel–rail contact forces, carbody accelerations, and stability coefficients. Field tests on curves with radii of 350 m and 300 m at 60 km/h validated the models. Carbody accelerations were 0.65–0.68 m/s², below the 0.7 m/s² regulatory limit; wheelset attack angles remained under 0.01 rad; and derailment safety coefficients were 1.6–1.8, all meeting international standards. Uniform load distribution maintained stability and suppressed oscillations. However, critical scenarios (wheel wear, extreme flange clearance, higher speeds) produced parameters approaching threshold values. To mitigate risks, clearance adjustment per δ₀ standards, a 1:20 guard-rail inclination, and optimized crossing profiles are proposed. These measures reduced lateral dynamic forces by 12–15% and raised the strength coefficient by 1.2–1.3. The results confirm technical feasibility, operational safety, and extended service life, supporting sustainable multimodal transport development.