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DYNAMICS OF ANTHROPOGENIC POLLUTANT SPREAD FROM TAGANROG BAY INTO THE SEA OF AZOV Dynamics of Anthropogenic Pollutant Spread From Taganrog Bay Into the Sea of Azov

Опубликовано в Russian Journal of Earth Sciences · Номер статьи: ES3017 · Рубрика: ОРИГИНАЛЬНЫЕ СТАТЬИ
DOI: https://doi.org/10.2205/2026es001137 · EDN: MKANII
Получено: 17.12.2025 Одобрено: 22.04.2026 Опубликовано: 02.09.2026 Язык публикаций: ENG
The Taganrog Bay is the most ecologically vulnerable water area of the Sea of Azov, subjected to significant anthropogenic impact from the ports of Mariupol and Taganrog, as well as the Don River discharge. This paper analyzes the processes of potential pollution transfer from the bay into the Sea of Azov using a three-dimensional Princeton Ocean Model hydrodynamic model and Lagrangian modeling of passive particle trajectories. Model circulation was calculated for 2020 with high spatial resolution, followed by numerical tracking of 7,350,000 virtual particles placed in the main pollution zones. Lagrangian analysis identified key transport pathways, accumulation and retention zones for pollutants, and seasonal variability of water exchange through the Dolzhansky Strait. It is shown that the transfer of potential pollution is determined by a combination of wind forcing, Don discharge, and local circulation. Comparison of model results with MODIS satellite data (2000–2024) confirms the spatial patterns of organic matter distribution and the identified transport directions. The obtained results can be used to assess ecological risks associated with the outflow of pollution into the Sea of Azov and to justify environmental protection measures in the region.
anthropogenic pollutants, spread dynamics, Taganrog Bay, Sea of Azov, Lagrangian modeling
Финансирование
This work was supported by Saint Petersburg State University (Grant No. 129659573), the Russian Science Foundation (Grant No. 25-17-00021), the Pacific Oceanological Institute of the Far Eastern Branch of the Russian Academy of Sciences (State Assignment No. 124022100072-5, “Fundamental principles of adaptive strategies for ecosystem development under global climate change”), the Moscow State University of Geodesy and Cartography of the Russian Academy of Sciences (State Assignment No. FNNN-2024-0012, “Analysis, diagnosis and real-time forecast of the state of hydrophysical and hydrochemical fields of marine water areas based on mathematical modelling using data from remote and in situ methods of measurements”), and the Ministry of Science and Higher Education of the Russian Federation (Agreement No. 075-03-2026-218, Project FSEG-2026-0020). The authors express their gratitude for the financial support of this research to Saint Petersburg State University, the Pacific Oceanological Institute of the Far Eastern Branch of the Russian Academy of Sciences, and the Moscow State University of Geodesy and Cartography of the Russian Academy of Sciences.
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