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First Workshop on Information Technologies Application to Problems of Biodiversity and Dynamics of Ecosystems in North Eurasia (WITA-2001)

July 9-14, 2001, Novosibirsk, Russia

Abstracts


Water Ecosystems

Computer modelling of temperature and phytoplankton dynamics in the aquatic ecosystems based on satellite data

Kartushinsky A.V., Shevyrnogov A.P.

Institute of Biophysics (Russian Academy of Sciences,
Siberian Branch) (Krasnoyarsk)

Researchers studying hydrobiological processes in the aquatic ecosystem encounter the problem of estimating the effects of factors of biological and physical nature on distribution and functioning of phytoplankton. The reasons for non-uniformity of phytoplankton distribution are essentially related to hydrophysical and hydrodynamic processes.

There are a number of methods for analysis and prognosis of phytoplankton distribution that are based on mathematical modeling. However, the prognosis of phytoplankton distribution is hampered by the diversity of relations among factors of the environment and hydrobiocenosis. It is extremely difficult to evaluate prognostic value of each separate element of the aquatic system. To obviate the limitations of the prognosis of formation and dynamics of various-productivity zones, experiments can be made on mathematical models using satellite data. The appropriately processed satellite information can be used to record dynamic changes in inland waters, to get images of the sea surface temperature and to estimate chlorophyll concentration.

The main aim of the work is to estimate quantitatively and qualitatively the interaction of two structures of aquatic systems: physical and biological, using numerical modeling and satellite information. The main problem is that phytoplankton inhomogeneiti and hydrophysical fields have different spatial-temporal scales of existence. However their effect can be estimated by numerical modeling and regular application of satellite data to verify the solution in modeling.

For computer modelling we used spatial-temporal diagrams and the analytical equations. This can be used to estimate the scale of variation in phytoplankton inhomogenieti under the impact of hydrophysical and hydrodynamic processes. Numerical modeling based on this approach is the way to combine the data of contact experiments and the remote sensing data to obtain the prognosis of dynamic changes in the inland waters.

It remains a problem to restore vertical profiles of phytoplankton on the basis of the satellite information that gives horizontal distribution of chlorophyll concentration. Models on the basis of bio-optical and hydrophysical algorithms, in combination with the data of satellite measurements, can give more information on the intensity of dynamic changes in some regions of the ocean and internal waters. These calculations, aimed to improve numerical models, now develop very intensively.

Note. Abstracts are published in author's edition


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