A set of tools for predictive modeling of the spatial distribution of oil pollution

¹ Don State Technical University, 1, Gagarin sq., 344003 Rostov-on-Don, Russia
² Chekhov Taganrog Institute (branch) Rostov State University of Economics, 48, Initiative st., 347936 Taganrog, Russia
³ Supercomputers and Neurocomputers Research Center, 106, Italyansky lane, 347900 Taganrog, Russia

^* Corresponding author: cvv9@mail.ru

Abstract

Pollution of water by the oil and oil products poses a great threat to its ecosystem and the development of coastal cities. Knowledge of the features of these processes is crucial for simulation their spreading, analysis, and planning responses in case of unforeseen circumstances. This article discusses a set of tools for predictive modeling the oil pollution spreading, designed to analyse the environmental situation in water objects. The developed complex contains models of the situation of the water environment, transfer and transformation of oil pollution taking into account a number of determining factors. Implementation of models using the developed software will allow making accurate forecasts of the environmental situation in water on an accelerated time. The research results can be used to assess hydrophysical changes at monitoring the geosystems of coastal systems in the South of Russia (for example, the Azov Sea and the Tsimlyansk Reservoir), which are most susceptible to anthropogenic influence, as well as to design schemes for optimal nature management and protection of unique natural waters.