Использование спутниковых индикаторов биомассы фитопланктона в математическом моделировании распространения фосфатов в Таганрогском заливе
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Kibel I. Introduction to Hydrodynamic Methods of Short-Term Weather Forecasting. Moscow: Gostekhizdat, 1957. 375 p. (in Russian).
Marchuk G. Numerical Methods in Weather Forecasting. Leningrad: Gidrometeoizdat, 1967. 358 p. (in Russian).
Monin A., Polubarinova-Kochina P., Khlebnikov V. Cosmology. Hydrodynamics. Turbulence: A.A. Friedman and the Development of His Scientific Heritage. Moscow: Nauka, 1989. 328 p. (in Russian).
Matishov G., Shokhin I., Nabozhenko M., Pol’shin V. Long-Term Changes in the Bottom Communities of the Azov Sea in Connection with the Nature of Sedimentation and Hydrological Regime. Oceanology. 2008. Vol. 48, no. 3. P. 425–435. (in Russian).
Lykosov V. Modern Problems of Mathematical Modeling of Climate and Weather Forecasting. Izvestiya RAN. Fizika atmosfery i okeana. 2020. Vol. 56, no. 3. P. 5–18. (in Russian).
Yakushev E., Pogojeva M., Polukhin A., et al. Arctic inshore biogeochemical regime influenced by coastal runoff and glacial melting (case study for the Templefjord, Spitsbergen). Geosciences. 2022. Vol. 12, no. 1. P. 44. DOI: 10.3390/geosciences12010044.
Zakrutkin V., Reshetnyak O., Usova E. On Permissible Anthropogenic Loads on the Catchments of Rivers in the Steppe Zone of the South of Russia (within the Rostov Region). Steppes of Northern Eurasia: Proceedings of the X International Symposium (International Steppe Forum). Orenburg, 2024. P. 463–468. (in Russian).
Chistyakov A., Kuznetsova I. Assessment of Environmental Risks of a Shallow Water Body during Dredging Works. Safety of Technogenic and Natural Systems. 2024. No. 2. P. 37–46. (in Russian) DOI: 10.23947/2541-9129-2024-8-2-37-46.
Koval L. Zoo and Necrozooplankton of the Black Sea. Kyiv: Naukova Dumka, 1984. 127 p. (in Russian).
Petipa T., Pavlova E. Zooplankton Mortality in Sevastopol Bay. Dopovidi NASU. 1995. Vol. 6. P. 146–148. (in Russian).
Gurova Y., Yakushev E., Berezina A., et al. Numerical Modeling of the Dynamics of Oxidation-Reduction Conditions at theWater-Bottom Sediment Interface in Yuzhnaya Bay. Seas of Russia: from theory to practice of oceanographic research: Abstracts of reports of the All-Russian scientific conference, Sevastopol, September 25–29, 2023. Sevastopol: FSBSI FRC MHI RAS, 2023. P. 246–247. (in Russian) DOI: 10.29039/2413-5577-2023-2-71-90.
Pakhomova S., Ershova A., Zhdanov I., Yakushev E. Methods for Studying Microplastic Pollution of Natural Waters: Current Status and Recommendations. Oceanological Research. 2024. Vol. 52, no. 1. P. 80–120. (in Russian) DOI: 10.29006/1564- 2291.JOR-2024.52(1).5.
Sukhinov A., Chistyakov A., Kuznetsova I., et al. Regularized Difference Scheme for Solving Hydrodynamic Problems. Mathematical Models and Computer Simulations. 2022. Vol. 34, no. 2. P. 85–100. (in Russian) DOI: 10.20948/mm-2022-02-07.
Lyashchenko T., Chistyakov A., Nikitina A. Pollutions Spreading Process Modelling in an Aquatic Ecosystem. Computational Mathematics and Information Technologies. 2023. Vol. 7, no. 4. P. 47–53. (in Russian) DOI: 10.23947/2587-8999-2023-7-4-47-53.
Sukhorukov B., Reshetnyak N., Saprygin V. Information Content of Multispectral (OLCI) and Hyperspectral Data in Assessing the State of Freshwater Ecosystems Using the Tsimlyansk Reservoir as an Example. Modern Problems of Remote Sensing of the Earth from Space. 2022. Vol. 19, no. 1. P. 239–252. (in Russian) DOI: 10.21046/2070-7401-2022-19-1-239-252.
Belova Y., Razveeva I., Rakhimbaeva E. Development of an Algorithm for Semantic Segmentation of Earth Remote Sensing Data to Determine Phytoplankton Populations. Advanced Engineering Research. 2024. Vol. 24, no. 3. P. 283–292. (in Russian) DOI: 10.23947/2687-1653-2024-24-3-283-292.
Belova Y., Nikitina A. Application of Methods of Observational Data Assimilation to Model the Spread of Pollutants in a Reservoir and Manage Sustainable Development. Safety of Technogenic and Natural Systems. 2024. No. 3. P. 39–48. (in Russian) DOI: 10.23947/2541-9129-2024-8-3-39-48.
Belova Y., Filina A., Chistyakov A. Forecasting the Dynamics of Summer Phytoplankton Species Based on Satellite Data Assimilation Methods. Computational Mathematics and Information Technologies. 2024. Vol. 8, no. 4. P. 27–34. (in Russian) DOI: 10.23947/2587-8999-2024-8-4-27-34.
Litvinov V., Rudenko N., Gracheva N. Model of a Parallel-Pipeline Computational Process for Solving a System of Grid Equations. Advanced Engineering Research. 2023. Vol. 23, no. 3. P. 329–339. (in Russian) DOI: 10.23947/2687-1653-2023-23-3-329-339.
Kudinov N., Filina A., Nikitina A., et al. Simulation of Vertical Movements of Seawater in Stratified Reservoirs. Advanced Engineering Research. 2023. Vol. 23, no. 2. P. 212–224. (in Russian) DOI: 10.23947/2687-1653-2023-23-2-212-224.
Gorelkina A., Yakovlev I. Mathematical Gaussian Model for Determining the Spread of Pollutants in Regions with Increased Technogenic Load. Bulletin of Omsk State Agrarian University. 2025. No. 1(57). P. 156–165. (in Russian).
Belikhov A., Legotin D., Sukhov A. Modern Computer Models of Pollutant Dispersion in the Atmosphere. Bulletin of the Kostroma State University named after N.A. Nekrasov. 2013. Vol. 19, no. 1. P. 14–19. (in Russian).
Sysoeva E., Gel’manova M. Methods for Calculating the Dispersion of Pollutants in the Urban Atmosphere. Bulletin of Moscow State University of Civil Engineering. 2022. No. 8. P. 1027–1045. (in Russian) DOI: 10.22227/1997-0935.2022.8.1027-1045.
Sukhinov A., Kuznetsova I. Mathematical Model of Three-Component Suspension Transport. Computational Mathematics and Information Technologies. 2023. Vol. 7, no. 3. P. 39–48. (in Russian) DOI: 10.23947/2587-8999-2023-7-3-39-48.
Katsnelson B., Petnikov V., Lynch J. Fundamentals of Shallow Water Acoustics. Springer Science & Business Media, 2012. 540 p. DOI: 10.1007/978-1-4419-9777-7.
Vasil’eva E., Belyakova P., Aleksyuk A., et al. Simulating Flash Floods in Small Rivers of the Northern Caucasus with the Use of Data of Automated Hydrometeorological Network. Water Resources. 2021. Vol. 48, no. 2. P. 182–193. (in Russian) DOI: 10.1134/S0097807821020160.
Lukachev S., Biryuk V., Gorshkalov A. Using Ansys Fluent to Study Gas-Dynamic and Thermal Processes in a Small-Sized Two-Stroke Internal Combustion Engine. Mechanical Engineering and Computer Technologies. 2014. No. 12. P. 128–135. (in Russian).
Daylyudenko V. Application of the STARCD Software Package for Modeling a Two-Phase Directed Flow in a Limited Region under Various Particle Interaction Regimes. Computer Science. 2010. No. 1(25). P. 91–101. (in Russian).
Aksenov A. FlowVision: Industrial Computational Fluid Dynamics. Computer Research and Modeling. 2017. Vol. 9, no. 1. P. 520. (in Russian).
Efimov M. Development and Implementation of the Basics of a C# Compiler Using Microsoft Phoenix. Computer Science, Telecommunications and Management. 2010. No. 4(103). P. 164–169. (in Russian).
Earth Observing System LandViewer Pricing. URL: http://eos.com/landviewer/account/pricing (accessed: 11.08.2025).
Sukhinov A., Chistyakov A., Protsenko S., Sidoryakina V. Solution of Grid Equations by Symmetrized Adaptive Alternating-Triangular Iterative Method. 2022. Application No. 2022680018 dated 27.10.2022 (in Russian). Certificate of registration of computer program RU 2022681029.
Chikin A. The Two-Layer Mathematical Model of the Wind Currents in the Basin with Different Level of Deep. Mathematical Modeling. 2009. Vol. 21, no. 12. P. 152–160. (in Russian).
Berdnikov S., Selyutin V., Surkov F., Tyutyunov Y. Modeling of Marine Ecosystems: Experience, Modern Approaches, Directions of Development (Review). Part 1: End-To-End Models. Physical Oceanography. 2022. Vol. 29, no. 1. P. 98–114. (in Russian) DOI: 10. 22449/0233-7584-2022-1-105-122.
Panasenko N. Forecasting the State of Coastal Systems Using Mathematical Modeling Based on Satellite Images. Computational Mathematics and Information Technologies. 2023. Vol. 7, no. 4. P. 54–65. (in Russian) DOI: 10.23947/2587-8999-2023-7-4-54-65.
DOI: http://dx.doi.org/10.14529/cmse260102




