Development of a complex of software tools for predictive modeling the dynamics of biogeochemical cycles in a shallow water taking into account the oxygen regime

The main regulator of the biological activity of shallow water is oxygen. It significantly affects the structural and species organization of various biological communities under the influence of biotic and abiotic factors, and climatic changes. The low and critically low levels of oxygen, dissolved in water, contributes to the suppression of hydrobionts species, the emergence of overseas zones, anoxia and hypoxia phenomena that cause the water eutrophication. This violates the ecological balance of the water environment and contributes to its suppression. In this regard, the development of modern software and algorithmic tools for predicting the dynamics of hydrochemical processes is relevant today. The paper covers the development of software tools for predictive modeling of biogeochemical processes in a shallow water based on advanced mathematical hydrobiological models of shallow water and effective numerical methods for their implementation. The distinctive feature of hydrochemical processes simulation is the use of the developed difference schemes of high-order of accuracy. They are effective in the numerical implementation of this class of water ecology problems, taking into account the spatially heterogeneous structure of computational domain and the computational labor intensity. Due to it, the errors of calculations are significantly reduced. A number of biotic and abiotic factors were taken into account, the substance circulation features, including the oxygen saturation, carbon dioxide levels, were identified. The application of effective numerical methods and their software implementation on high-performance computer complexes makes it possible to perform an accurate assessment and analysis and quickly predict the environmental conditions in shallow water ecosystems under climatic and industrial challenges, especially in emergencies.