Abstract
The study is devoted to the analysis of satellite observations data assimilation to discover the necessary information for developing and verifying mathematical models of hydrodynamics and biological shallowwater kinetics. The use of satellite earth sensing data is taken to enhance information base. The possible use of neural networks with optical flow computation is considered in the study. The objective of the study is to develop a software tool used to identify the initial conditions in mathematical modeling of hydrobilogical shallow-water processes.
Highlights
In the past decade, the frequency of the happened adverse and disastrous phenomena in the coastal South Russian systems has increased
The list of events contains the following disasters: the calamitous storm in November 2006; the storm surges in 2007 and 2014, which caused loss of life and destruction; the shallowing of the Azov Sea nearby Taganrog (Rostov region) and the river Don in November 2019, which related to the poor rainfall in the river basins flow into the Azov Sea and the strong wind made the coast grow shallow promptly; the massive fish kill in July 2020 in the south-eastern sector of the Azov Sea, which greatly damaged commercial fish resources
A huge number of Russian and foreign scientists are engaged in mathematical modeling of hydrodynamics process and biological kinetics of nature system problems, which are represented by coastal and marine systems
Summary
The frequency of the happened adverse and disastrous phenomena in the coastal South Russian systems has increased. A huge number of Russian and foreign scientists are engaged in mathematical modeling of hydrodynamics process and biological kinetics of nature system problems, which are represented by coastal and marine systems. [5] greatly contributed to field of creating mathematical models, developing methods for diagnosing and predicting changes in aquatic ecosystems, these works considered the problem of interspecific interaction. The most important task is to be solved consists in development of methods and tools for the heterogeneous satellite data applying In this regard, the purpose of this work is to describe assimilation and processing of observation data obtained by satellite earth sensing for monitoring the current state of heterogeneous objects on the water surface, in particular, the processes of "blooming" of phytoplankton algae
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