ALGORITHM FOR SEARCHING AND ACQUISITION OF KNOWLEDGE BASED ON TECHNOLOGIES FOR PROCESSING AND ANALYZING TEXTS IN NATURAL LANGUAGE
This article is devoted to the study of the influence of atmospheric precipitation onhydrolithospheric processes using mathematical modeling. Hydrolithospheric processes involve interactionsbetween water, the atmosphere, and the Earth's crust, playing an important role in shaping the landscape,water cycle, and Earth's climate. Using historical data on precipitation and hydrolithospheric processes,the authors calibrate and validate their model. Results show that the model can accurately predictchanges in water flow, soil erosion, and water quality in response to changes in the precipitation regime.This paper presents the development and application of mathematical models to study the effects of precipitationon runoff generation, soil erosion, water table changes, and geomorphologic processes occurringin the hydrolithosphere. The paper analyzes different types of models, including: – surface runoffmodels, which describe the formation and movement of runoff over the land surface; – soil erosion models,which predict the intensity of erosion processes caused by precipitation; – groundwater models, whichstudy the effect of precipitation on the water table and its movement in groundwater aquifers; – models ofgeomorphologic processes, which study the influence of precipitation on the formation of relief, formationof ravines, slopes and other geomorphologic elements. Problems of model validation and calibration, aswell as uncertainties associated with precipitation variability, were considered and studied. The results ofthe study provide a better understanding of the interaction of precipitation with the hydrolithosphere andpresent opportunities for using mathematical modeling to predict hydrolithospheric processes and developwater management strategies. The article has important implications for understanding and managinghydrolithospheric processes in a changing climate. The mathematical model developed in the article canbe used to assess the potential impacts of changing precipitation amounts and patterns, and to developadaptation strategies to mitigate these impacts.
Authors
- Evgeniya Gerasimenko (ORCID: https://orcid.org/0000-0001-6601-0277)
- Y. A. Kravchenko (ORCID: https://orcid.org/0009-0005-7098-4054)
- D.A. Shanenko
Publication Details
- Journal
- Izvestiâ ÛFU. Tehničeskie nauki
- Published
- 2024-11-13
- DOI
- https://doi.org/10.18522/2311-3103-2024-5-88-102
- Primary Topic
- Advanced Computational Techniques in Science and Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00