MODELING AND ANALYSIS OF SPATIAL HYDROCHEMICAL STATE OF NEVA BAY WATERS

https://doi.org/10.24057/2414-9179-2016-1-22-120-127

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About the Authors

A. N. Korshenko

Zubov State Oceanographic Institute
Russian Federation

The Faculty of Geography, Department of Cartography and Geoinformatic

A. R. Alyautdinov

Lomonosov Moscow State University
Russian Federation

The Faculty of Geography, Department of Cartography and Geoinformatic

L. A. Ushakova

Lomonosov Moscow State University
Russian Federation

The Faculty of Geography, Department of Cartography and Geoinformatic

Abstract

As the object of ecological and geographical research, the Neva Bay is under great anthropogenic impacts, especially in areas of intensive pollution of the waters of mineral and organic impurities, oil and oil products. Level mode the Neva Bay is associated with features of the atmospheric circulation over the Baltic Sea and the Gulf of Finland. The nature of hydrological processes and hydro chemical regime are under the determining influence of the flow of the Neva River and other rivers, locations of the industrial facilities. The main objective of research – developing methods of geoinformation mapping and creation of a database for the evaluation of the environmental state of sea Neva Bay, formed under the influence of a complex set of interacting natural and anthropogenic processes. A database can be constantly updated and allows you to combine significant amount of research results on the basis of uniform principles of formalization and structuring of data. These information base and implementation the newest tools of GIS technologies allow to build models and create a series of maps spread of different pollutants and to assess the environmental state in the Neva Bay.

Keywords

Ecological state, contaminants, hydro chemical indicators, geodatabase, geoprocessing, modeling..

References

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For citation: Korshenko A.N., Alyautdinov A.R., Ushakova L.A. MODELING AND ANALYSIS OF SPATIAL HYDROCHEMICAL STATE OF NEVA BAY WATERS. Proceedings of the International conference “InterCarto. InterGIS”. 2016;22(1):120-127. https://doi.org/10.24057/2414-9179-2016-1-22-120-127