UDC

502.3:556:504.423

Authors

Aleksandr Yu. Kozhevnikov*, Evgeniy A. Varakin*, Il’ya S. Mayorov*, Irina A. Kuznetsova**, Nikolay S. Larionov**
*Northern (Arctic) Federal University named after M.V. Lomonosov (Arkhangelsk, Russian Federation)
**Federal Center for Integrated Arctic Research, Russian Academy of Sciences (Arkhangelsk, Russian Federation)
Corresponding author: Aleksandr Kozhevnikov,
address: Naberezhnaya Severnoy Dviny, 17, Arkhangelsk, 163002, Russian Federation;
e-mail: a.kozhevnikov@narfu.ru

Abstract

High resource potential of the Arctic region and the associated ecosystem load necessitate the development of effective tools for collecting and processing the increasing amount of environmental monitoring data. The structure and wide functionality of the experimental hardware and software complex developed by the authors ensure the processing and visual representation of a large body of data on the ecological state of the seas of the western sector of the Russian Arctic zone. This is a component of the information support of the environmental preservation principle for the realization of the special national interest of the Russian Federation – the sustainable development of the Russian Arctic. The experimental hardware and software complex demonstrates a relatively low level of anthropogenic lead pollution of the Russian Arctic seas. The average concentration of lead is 3.13±1.70 μg/dm3, i.e. 0.3 of the maximum allowable lead concentration in water of the objects of household, cultural and general water use, established by the Russian Federation hygienic legislation. Lead concentration in the White Sea, which is the most susceptible to the anthropogenic impact, is 0.6 of the maximum permissible concentration. The long-term anthropogenic impact on the Arctic marine environment at this stage has a local character with the formation of technogenic pollution focus in the estuary areas of large rivers and port infrastructure zones. The flow of heavy metals by the large river waters (by the example of the Northern Dvina River) is low due to the effectiveness of the natural marginal filter.

Keywords

seas of the Arctic zone of the Russian Federation, environmental monitoring of sea waters, automation of environmental monitoring, visualization of environmental monitoring data

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