Using Supercomputer Technologies to Research the Influence of Abiotic Factors on the Biogeochemical Cycle Variability in the Azov Sea

The paper covers the mathematical modelling of the main biogenic matter transformations in the production-destruction processes of phytoplankton populations in the Azov Sea, taking into account the influence of external factors, including the salinity and temperature. A multi-species mathematical model of the phytoplankton population dynamics taking into account the transport and transformation of nutrients was developed and researched. A numerical algorithm of salinity and temperature field restoration in shallow water for the case of the Azov Sea was offered to simulate biogeochemical cycles of the main pollutants, including nitrogen, phosphorus and silicon. A discrete analogue of the proposed water ecology model problem was developed based on the schemes of the increased accuracy taking into account the partial filling of the computational cells. A parallel algorithm adapted for hybrid computing systems using the NVIDIA CUDA architecture was developed for the numerical implementation of the proposed interrelated mathematical models of biological kinetics.