Prospects for the Assessment of Phytoplankton Biomass in the Black Sea (on the Example of the Karkinitsky Bay) using Earth Remote Sensing

The aim of the study is to assess the dynamics of phytoplankton biomass in the Karkinitsky Bay of the Black Sea, as well as the annual trend of its abundance based on satellite information. The article briefly describes the methodological steps for study the dynamics of phytoplankton biomass from satellite images, indicates the possible reasons for the formation of the eutrophication process in the Karkinitsky Bay, identifies and describes the optical categories of phytoplankton depending on its concentration, the reasons for the seasonal shift in the biomass of phytoplankton in comparison with other parts of the Black Sea by period from 19.02.2019 to 11.04.2020. The study allows to assess the possibilities of using the NDCI index for assessing the biomass of phytoplankton and make the conclusions on the process of eutrophication using the example of the Karkinitsky Bay. The scientific novelty of the work is the use of the NDCI index to study the dynamics of phytoplankton biomass in the Black Sea. As a result, several maxima and minima of phytoplankton biomass accumulation during the year (from 2019 to 2020) were identified and possible reasons for the observed results were described, the main of which can be considered a high anthropogenic load on the studied part of the Black Sea. © Published under licence by IOP Publishing Ltd.

Publisher
Institute of Physics Publishing
Number of issue
1
Language
English
Status
Published
Number
012054
Volume
720
Year
2021
Organizations
  • 1 Department of Ecological Monitoring and Forecasting, Ecological Faculty, RUDN University, Podol'skoye ave, 8/5, Moscow, 115093, Russian Federation
Keywords
Biomass; Dynamics; Earth sciences; Eutrophication; Remote sensing; Annual trends; Black sea; Earth remote sensing; Phytoplankton biomass; Satellite images; Satellite information; Seasonal shifts; Phytoplankton
Date of creation
20.07.2021
Date of change
20.07.2021
Short link
https://repository.rudn.ru/en/records/article/record/74351/
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