Документ взят из кэша поисковой машины. Адрес оригинального документа : http://www.iki.rssi.ru/asp/dep_proj/ann555en.pdf Дата изменения: Tue Dec 8 18:17:01 2015 Дата индексирования: Sun Apr 10 03:47:30 2016 Кодировка: Поисковые слова: mercury program

Brief annotation of project RNF 14-17-00555
The aim o f the project is to develop techniques for the retrieval o f pollut ion parameters and investigate the affect of marine dynamic and circulation processes on its propagation on the basis of co mplex analys is o f satellite data and quant itative assessment of environmental status of Russian seas. Our experience long-term experience in co mbined satellite survey of various areas of the World Ocean shows that the tasks of the satellit e monitoring of the sea state and sea surface pollut ion of are closely interrelated because po llutants beco me part of marine environment and evo lve according to its intrinsic mechanis ms. Keeping in mind the complexit y and high costs of field experiments, we may assume that variety of real-ocean situations and impact of huge amount of atmospheric and oceanic factors yield to some fragmentarit y in descript ion of rea l processes in the areas of interest. Our activit y will concern primarily o il po llut ion of the sea surface and also suspended and bio-organic matter associated with phytoplankton photosynthesis as well as anthropogenically induced rise in algae bio logical productivit y. Integral est imates of ecological state of sea areas will be made based on satellite remote sensing data in different ranges. Considerable effort will be devoted circulat ion processes and natural factors variat ion, surge and upwelling, temperature variabilit y of spat ial and temporal distribut io satellite images. to investigation o f the impact of dyna mical and (current meandering, vortical activit y, sea leve l and wind regimes, precipitat ion, river outflows) on ns and intensit y of sea water pollut ion manifested in

An important facet of the project will be improving the techniques and developing the tools for determining po llution t ypes and scales as well as obtaining their quant itative est imates. Particular emphasis will be laid on improving the discriminat ion algorithms for sea pollut ion of different origin based on their manifestations in remote sensing data. Elaboration o f scient ific foundation and methodology of quantitative assessment o f ecological state of marine environment and so lving the problem o f estimat ion o f po llutio n parameters and dynamic characterist ics of seawater medium on the basis o f co mplex analysis o f satellite data in enclo sed (Black, Balt ic and Caspian) as well as in adjacent (Barents, Kara) seas of Russia is a crucial task today. These seas are the most affected by o il po llution because o f large-scale explorat ion and production of sea shelf o il and gas acco mpanied by building and operation of marine plat forms, coastal terminals, hydrocarbon storages, sea bottom pipelines, seismic and drilling act ivit ies, increase in ship traffic, etc. Scient ific novelt y of the proposed project consists in the following. 1. The project suggests to solve the problem o f detection and propagation forecast of anthropogenic and biogenic po llut ion based on joint analys is o f different satellite sea surface remote sensing information, including hyperspectral data. Theoretical grounds and algorithms for reliable recognit ion and quantitative assessment of anthropogenic and biogenic po llutants of the sea surface will be elaborated on the basis of jo int analys is o f all available satellite data in microwave, visible and infrared ranges. 2. The task of po llut ion propagation forecast will be so lved in considerat ion of the influence of dynamic and circulat ion processes, primarily meso- and submesoscale structures.


3. Assessment of the eco logical states of the Black, Caspian and Balt ic Seas for the first time will be performed based on the vast archive of satellite data accumulated over more than past 10 years. 4. Finalized techniques will be adjusted to assess the ecological state of Russia's Arct ic seas, first of all Barents and Kara.