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Model estimates of microplastic potential contamination pattern of the eastern Gulf of Finland in 2018

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The work is focused on the assessment of microplastics transport and distribution in the eastern part of the Gulf of Finland by means of numerical modeling. In the present study only the riverine sources of microplastics are taken into account. The presented model also accounts for possible sink of suspended microplastic particles into sediments due to simple parameterization of biogeochemical processes such as biofouling and ingestion by zooplankton. Two basic scenarios with different initial fall velocities of suspended microplastic particles, 0.2 m/day and 1.2 m/day, are discussed. The distribution of microplastics coming with the riverine waters of the Neva, Luga, and Narva rivers has been investigated, based on a numerical hydrodynamical hindcast of the year 2018. Model simulations show that the transport of suspended microplastics occurs along the northern coast of the considered area more intensively compared to the southern coast, especially in the easternmost shallow part of the gulf. The results are in a good agreement with other studies focused on the microplastic pollution of the Neva Bay, and with available observational data. The presented results and developed model can be useful tools aimed to assess the intensity and mechanisms of microplastic pollution of the eastern Gulf of Finland. The results can be used in the selection of areas for future environmental monitoring of microplastics pollution of the eastern part of the Gulf of Finland.
Słowa kluczowe
Czasopismo
Rocznik
Strony
86--99
Opis fizyczny
Bibliogr. 64 poz., map., rys., tab., wykr.
Twórcy
  • Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia
autor
  • Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia
  • Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia
Bibliografia
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8d1a0adf-b7be-405b-93c5-3cc0731fcf67
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