Presenter/Author Information

Oksana Zhdanova
Alexander Abakumov

Keywords

mathematical modelling, chlorophyll, phytoplankton, diffusion

Start Date

1-7-2012 12:00 AM

Description

The biological productivity of ecological systems is very important characteristic for study of the natural environment. For aquatic ecosystems the biological productivity can be determined on the base of phytoplankton productivity. The distribution of phytoplankton in a vertical column of water under the influence of sun intensity, temperature and mineral content is simulated. Change in the concentration of mineral substances and phytoplankton is influenced by diffusion. Photosynthetic activity radiation and temperature of water satisfy the climatic conditions typical of Peter the Great Bay. A remote sensing data probing the seas and oceans plays an important role in the study of the status and functioning of phytoplankton. In particular, satellites provide data on the content of minerals and chlorophyll in the surface layer. Data on chlorophyll content make it possible to estimate the phytoplankton and to give a rough estimate of primary production (Shushkina et al. 1997). This paper uses a model of phytoplankton activity in the vertical column of water to assess its condition and to obtain the dynamics of changes in key parameters on the basis of satellite melon of the ocean in the Gulf of Peter the Great.

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Jul 1st, 12:00 AM

Assessment of phytoplankton productivity using satellite data for Peter the Great Gulf

The biological productivity of ecological systems is very important characteristic for study of the natural environment. For aquatic ecosystems the biological productivity can be determined on the base of phytoplankton productivity. The distribution of phytoplankton in a vertical column of water under the influence of sun intensity, temperature and mineral content is simulated. Change in the concentration of mineral substances and phytoplankton is influenced by diffusion. Photosynthetic activity radiation and temperature of water satisfy the climatic conditions typical of Peter the Great Bay. A remote sensing data probing the seas and oceans plays an important role in the study of the status and functioning of phytoplankton. In particular, satellites provide data on the content of minerals and chlorophyll in the surface layer. Data on chlorophyll content make it possible to estimate the phytoplankton and to give a rough estimate of primary production (Shushkina et al. 1997). This paper uses a model of phytoplankton activity in the vertical column of water to assess its condition and to obtain the dynamics of changes in key parameters on the basis of satellite melon of the ocean in the Gulf of Peter the Great.