The forecasting of natural geographical phenomena is one of the most important directions of modern geographical science, especially under conditions of climate change, rapid land-use transformation and increasing environmental risks. Natural geographical phenomena such as floods, droughts, soil erosion, landslides, desertification, glacier melting and landscape degradation are complex processes formed by the interaction of climatic, geomorphological, hydrological, soil, biological and anthropogenic factors. Traditional observation methods remain fundamental for geography, but they are not always sufficient for predicting the future development of such processes. Simulation models provide an opportunity to reproduce the dynamics of natural systems, test possible scenarios, evaluate risks and support scientifically grounded decision-making. This article analyses the possibilities of simulation models in forecasting natural geographical phenomena from scientific, methodological and applied perspectives. The study is based on theoretical analysis, system approach, comparative generalisation and methodological interpretation of works related to geographical modelling, GIS, environmental forecasting and uncertainty assessment. The article shows that simulation models are effective when they are based on reliable empirical data, correct conceptual assumptions, spatial analysis, calibration, validation and sensitivity assessment. At the same time, model forecasts should be interpreted critically, because every model contains uncertainty and simplification. The article concludes that simulation modelling is not a replacement for field research, but a powerful methodological instrument that strengthens the predictive potential of natural geography.
Possibilities of Simulation Models in Forecasting Natural Geographical Phenomena
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References
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