<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The results of satellite monitoring of oil pollution in the Southeastern Baltic Sea in 2004-2015 are discussed in the paper. Interannual and seasonal variability of oil pollution is investigated. A steady decrease in total oil pollution was observed from 2004 to 2011. After a sharp increase of oil pollution in 2012, oil pollution level has established at 0.39 PI Index. Maximum of oil spills is observed in the spring and summer, which is probably due to favorable weather conditions for the detection of oil spills on radar images. According to the analysis of the shapes of the detected oil spills, it was concluded that the main polluters of the sea surface are vessels. No oil spills originated from the oil platform D-6 was detected in 2004-2015. Results of numerical experiments with the Seatrack Web oil spill model show that in the case of potential discharge of oil from the D-6 platform, oil will not reach the Curonian Spit beaches during 48 h after an accident.</p></abstract>

The results of satellite monitoring of oil pollution in the Southeastern Baltic Sea in 2004-2015 are discussed in the paper. Interannual and seasonal variability of oil pollution is investigated. A steady decrease in total oil pollution was observed from 2004 to 2011. After a sharp increase of oil pollution in 2012, oil pollution level has established at 0.39 PI Index. Maximum of oil spills is observed in the spring and summer, which is probably due to favorable weather conditions for the detection of oil spills on radar images. According to the analysis of the shapes of the detected oil spills, it was concluded that the main polluters of the sea surface are vessels. No oil spills originated from the oil platform D-6 was detected in 2004-2015. Results of numerical experiments with the Seatrack Web oil spill model show that in the case of potential discharge of oil from the D-6 platform, oil will not reach the Curonian Spit beaches during 48 h after an accident.

Oil Pollution in the Southeastern Baltic Sea by Satellite Remote Sensing Data in 2004-2015

Atlantic Branch of P.P. Shirshov Institute of Oceanology, Russian Academy of Sciences, Kaliningrad, Russia, Prospekt Mira 1

Immanuel Kant Baltic Federal University, Kaliningrad, Russia, Aleksandra Nevskogo Str. 14, Build. 2

P.P. Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia, Nakhimovsky Pr. 36

Interfacultary Center for Marine Research (MARE), University of Liege, Liege, Belgium, Sart Tilman, B5a

S.Yu. Witte Moscow University, Moscow, Russia, Second Kozhukhovsky Pr. 12, Build. 1

Institute of Marine Biology, University of Montenegro, Kotor, Montenegro, P.Box 69

Transport and Telecommunication Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

The results of satellite monitoring of oil pollution in the Southeastern Baltic Sea in 2004-2015 are discussed in the paper. Interannual and seasonal...

Oil Pollution in the Southeastern Baltic Sea by Satellite Remote Sensing Data in 2004-2015

Data publikacji: 06 maj 2016

Zakres stron: 155 - 163

DOI: https://doi.org/10.1515/ttj-2016-0015

Słowa kluczowe
the Southeastern Baltic Sea, oil pollution, satellite monitoring, interannual and seasonal variability of oil pollution, oil spill drift forecast

© Transport and Telecommunication Institute

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Oil Pollution in the Southeastern Baltic Sea by Satellite Remote Sensing Data in 2004-2015

Data publikacji: 06 maj 2016

Zakres stron: 155 - 163

DOI: https://doi.org/10.1515/ttj-2016-0015

Słowa kluczowethe Southeastern Baltic Sea, oil pollution, satellite monitoring, interannual and seasonal variability of oil pollution, oil spill drift forecast

© Transport and Telecommunication Institute

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Słowa kluczowe
the Southeastern Baltic Sea, oil pollution, satellite monitoring, interannual and seasonal variability of oil pollution, oil spill drift forecast