- Abstract:
- The article presents a comprehensive analysis of the sustainability of ecosystems in the North Caucasus region to anthropogenic stress in the context of increasing anthropogenic impact. The relevance of the study is due to the high natural vulnerability of the territory, which is associated with its complex orographic structure, climatic heterogeneity, and intensive economic development. The study is based on the integration of remote sensing data, geoinformation modeling methods, and statistical analysis of environmental monitoring data from Rosgidromet, Rosprirodnadzor, and regional environmental protection agencies for the period 2018–2024. The use of an interdisciplinary approach made it possible to identify the spatial and temporal patterns of the transformation of natural complexes and to assess the level of their resistance to anthropogenic impact. The natural-geographical, geochemical, and climatic features of the North Caucasus, which determine the specifics of the formation of environmental risks, are considered. It has been established that the main factors of ecosystem degradation are mining activities, intensive agriculture, and urbanization processes. As a result of anthropogenic impact, processes of soil erosion and degradation, contamination of surface and groundwater, reduction of biodiversity, and changes in river hydrological regimes are observed. The analysis of geoinformation models and satellite data has shown that a significant part of the region is characterized by a reduced level of ecological stability, with mountainous and foothill areas being the most vulnerable. The scientific novelty of the study lies in the integrated assessment of ecosystem stability based on the combination of heterogeneous data and spatial analysis methods. Based on the obtained results, measures are proposed to improve geoecological monitoring systems, implement environmentally safe technologies, and rehabilitate disturbed lands. The implementation of a comprehensive approach to environmental management will reduce technogenic load and ensure sustainable development of the North Caucasus region.
- Keywords:
- North Caucasus region, hydrometeorological threats, Fourier transform, neural networks, time series, forecasting
- For citation:
- Lazovsky A.I. Integration of Fourier analysis and neural network models for assessing hydrometeorological hazards in THE North Caucasus federal district. Mine Surveying and Subsurface Use. 2026; 26 (5): 84-89. (In Russ.). https://doi. org/10.56195/20793332-2026-26-5-84-89
- Information about the authors:
-
- Anatoly I. Lazovsky – Dr. of Natural Sciences, Federal State Budgetary Educational Institution of Additional Professional Education “Institute for Advanced Training of Executives and Specialists,” Balashikha, Russian Federation
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