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Modeling of oil spreading in a problem of radar multiangle diagnostics of Sea surface pollutions

  • Stydying Seas and Oceans from Space
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Abstract

The possibilities of a multiangle method of radar diagnostics to determine thickness of an oil film on a sea surface by comparing the radar data with the quantitative modeling results obtained using the model of oil spreading dynamics are analyzed. The experimental results of the remote sensing of the Caspian Sea water area near the Neftyanye Kamni oil field by the Envisat-1 synthetic aperture radar (SAR) and the new Floating Objects Tracking System (FOTS) model of oil spreading are used for the analysis. The model allows to calculate the dynamics and change in the mass and size of an oil slick basing only on the available data of satellite measurements and atmospheric reanalysis.The model takes into account the main processes that influence the slick formation (gravity spreading, advective transport, dispersion, emulsification, turbulent mixing, and evaporation). This model is used to calculate the thickness evolution and dynamics of the displacement of oil slicks in the period between two consecutive radar images of this region (0.5–4 days) and to estimate the volumes of oil spilled in the field. The good consistence of the height of the oil film calculated using radar measurements and the modeling results confirms the method’s reliability.

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References

  • Berry, A., Dabrowski, T., and Lyons, K., The oil spill model OILTRANS and its application to the Celtic sea, Mar. Pollut. Bull., 2012, vol. 64, no. 11, pp. 2489–2501.

    Article  Google Scholar 

  • Boev, A.G. and Karvitskii, G.E., Toward the theory of radar contrast of sea waves in the presence of a film of surfaceactive matter, Radiofiz. Radioastron., 1997, vol. 2, no. 3, pp. 281–291.

    Google Scholar 

  • Boev, A.G., Karvitskii, G.E., Matveev, A.Ya., and Tsymbal, V.N., Evaluation of oil slick parameters on the sea surface using multifrequency radar data, Telecommun. Radio Eng., 1997, vol. 51, no. 8, pp. 4–12.

    Article  Google Scholar 

  • Boev, A.G. and Yasnitskaya, N.N., Sea-wave suppression by a finite-thickness film of surface-active matter, Izv., Atmos. Ocean. Phys., 2003, vol. 39, no. 1, pp. 118–126.

    Google Scholar 

  • Boev, A.G., Efimov, V.B., Tsymbal, V.N., et al., Radiolokatsionnye metody i sredstva operativnogo distantsionnogo zondirovaniya Zemli s aerokosmicheskikh nositelei (Radar Methods and Tools for Operational Remote Sensing of the Earth from Aerospace Carriers), Konyukhov, S.N., Dranovskii, V.I., and Tsymbal, V.N., Eds., Kiev: NAN Ukrainy, 2007.

  • Boev, A.G. and Matveev, A.Ya., A radar method for the estimation of parameters of oil pollution of the sea surface, Issled. Zemli Kosmosa, 2008, no. 5, pp. 29–36.

    Google Scholar 

  • Boev, A.G., Bychkov, D.M., Matveev, A.Ya., and Tsymbal, V.N., Radar satellite multi-angle diagnostics of sea surface oil pollution, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2013, vol. 10, no. 2, pp. 166–172.

    Google Scholar 

  • Bondur, V.G. and Grebenyuk, Yu.V., Remote indication of anthropogenic influence on marine environment caused by depth wastewater plume: Modeling, experiments, Issled. Zemli Kosmosa, 2001, no. 6, pp. 49–67.

    Google Scholar 

  • Bondur, V.G., Aerospace methods in modern oceanology, in Novye idei v okeanologii: Fizika. Khimiya. Biologiya (New Ideas in Oceanology: Physics, Chemistry, and Biology), Moscow: Nauka, 2004, pp. 55–117.

    Google Scholar 

  • Bondur, V.G., Vorob’ev, V.E., Grebenyuk, Yu.V., Sabinin, K.D., and Serebryany, A.N., Study of fields of currents and pollution of the coastal waters on the Gelendzhik shelf of the Black Sea with space data, Izv., Atmos. Ocean. Phys., 2013, vol. 49, no. 9, pp. 886–896.

    Article  Google Scholar 

  • Chen, H.-Zh., Li, D.-M., and Li, X., Mathematical modeling of the oil spill on the sea and application of the modeling in Daya Bay, J. Hydrodyn., Ser. B, 2007, vol. 19, no. 3, pp. 282–291.

    Article  Google Scholar 

  • Delvigne, G.A.L. and Sweeney, C.E., Natural dispersion of oil, Oil Chem. Pollut., 1988, vol. 4, pp. 281–310.

    Article  Google Scholar 

  • De Mario, A., Ricci, G., and Tesauro, M., On CFAR detection of oil slicks on the ocean surface by a multifrequency and/or multipolarization SAR, in Proceedings of the 2001 IEEE Radar Conference, 1–3 May 2001, Atlanta, Georgia, USA, 2001, pp. 351–355.

    Google Scholar 

  • Fay, J.A., The spread of oil slicks on calm sea, in Oil on the Sea, New York: Plenum, 1969, pp. 53–63.

    Chapter  Google Scholar 

  • Fingas, M.F., The evaporation of oil spills: Variation with temperature and correlation with distillation data, Proceedings of 15th Arctic Marine Oil Spill Program Technical Seminar, Ottawa: Environ. Canada, 1996, pp. 27–72.

    Google Scholar 

  • French-McCay, D.P., Oil spill impact modelling: Development and validation, Environ. Toxicol. Chem., 2004, vol. 23, pp. 2441–2456.

    Article  Google Scholar 

  • Fu, L.-L., Satellite Altimetry and Earth Sciences. A Handbook of Techniques and Applications, Academic, 2001.

    Google Scholar 

  • Gadimova, S., Towards the development of an operational strategy for oil spill detection and monitoring in the Caspian Sea based upon a technical evaluation of satellite SAR observations in Southeast Asia, Int. Arch. Photogram. Remote Sens., 2000, vol. 33, no. 1, pp. 295–299.

    Google Scholar 

  • Hoult, D.P., Oil spreading on the sea, Annu. Rev. Fluid Mech., 1972, vol. 4, pp. 341–368.

    Article  Google Scholar 

  • Ivanov, A.Yu., Dostovalov, M.Yu., and Sineva, A.A., Characterization of oil pollution around the oil rocks production site in the Caspian Sea using spaceborne polarimetric SAR imagery, Izv., Atmos. Ocean. Phys., 2012, no. 9, pp. 1014–1026.

    Article  Google Scholar 

  • Kanamitsu, M., Ebisuzaki, W., Woolen, J., et al., NCEP–DOE AMIP-II Reanalysis (R-2), Bull. Am. Meteorol. Soc., 2002, vol. 83, no. 11, pp. 1631–1643.

    Article  Google Scholar 

  • Knysh, V.V., Ibraev, R.A., Korotaev, G.K., and Inyushina, N.V., Seasonal variability of climatic currents in the Caspian Sea reconstructed by assimilation of climatic temperature and salinity into the model of water circulation, Izv., Atmos. Ocean. Phys., 2008, vol. 44, no. 2, pp. 236–249.

    Article  Google Scholar 

  • Korotenko, K.A. and Mamedov, P.M., Modeling of the oil slick transport processes in the coastal zone of the Caspian Sea, Oceanology (Engl. Transl.), 2001, vol. 41, no. 1, pp. 37–47.

    Google Scholar 

  • Stanichny, S.V., Kubryakov, A.A., and Soloviev, D.M., Parameterization of the surface wind-driven currents in the Black Sea using drifters, altimetry, and wind data, Ocean Dyn., 2016, vol. 66, no. 1, pp. 1–10.

    Article  Google Scholar 

  • Lavrova, O.Yu. and Kostyanoi, A.G., Kompleksnyi sputnikovyi monitoring morei Rossii (Integrated Satellite Monitoring of Russian Seas), Moscow: IKI RAN, 2011.

    Google Scholar 

  • Lehr, W., Jones, R., Evans, M., Simecek-Beatty, D., and Overstreet, R., Revisions of the ADIOS oil spill model, Environ. Modell. Software, 2002, vol. 17, pp. 191–199.

    Article  Google Scholar 

  • Liungman, O. and Mattson, J., Scientific documentation of Seatrack Web; physical processes, algorithms and references, Seatrack Web, Official HELCOM oil drift forecasting system developed and administrated by SMHI and DAMSA with SINTEF oil weathering technology included, Norrköping, Sweden, 2011.

    Google Scholar 

  • Mackay, D., Buis, I., Mascarenhas, R., and Patterson, S., Oil Spill Processes and Models, Ottawa: Environment Canada, 1980.

    Google Scholar 

  • Monin, A.S. and Krasitskii, V.P., Yavleniya na poverkhnosti okeana (Sea-Surface Phenomena), Leningrad: Gidrometeoizdat, 1985.

    Google Scholar 

  • Reynolds, R.W., Smith, T.M., Liu, C., Chelton, D.B., Casey, K.S., and Schlax, M.G., Daily high-resolutionblended analyses for sea surface temperature, J. Clim., 2007, vol. 20, pp. 5473–5496. doi 10.1175/2007JCLI1824.1

    Article  Google Scholar 

  • Sandven, S., Kudriavtsev, V., and Malinovsky, V., Development of marine oil spills/slicks satellite monitoring system elements for the Black Sea, Caspian Sea and Kara/Barents seas, in Proceedings of the 2nd International Workshop on Advances in SAR Oceanography from Envisat and ERS Missions (SEASAR-2008), Rome, Italy, 2008, presentation 301.

    Google Scholar 

  • Schramm, L.L., Emulsions Fundamentals and Applications in the Petroleum Industry, Washington, D.C.: American Chemical Society, 1992.

    Book  Google Scholar 

  • Sukhanov, V.P., Pererabotka nefti. Uchebnik (Oil Processing. A Textbook), Moscow: Vysshaya shkola, 1979.

    Google Scholar 

  • Tufte, L., Trieschmann, O., Hunsänger, S., Kranz, S., and Barjenbruch, U., Using air- and spaceborne remote sensing data for the operational oil spill monitoring of the German North Sea and Baltic Sea, in Proceedings of the XX ISPRS Congress, Technical Commission VII, 12–23 July 2004, Turkey, pp. 1006–1100.

    Google Scholar 

  • Weaver, W.J., Characteristics of spilled oils, fuels, and petroleum products: 1. Composition and properties of selected oils, Oil spill report, Ecosystems Research Division National Exposure Research Laboratory, Athens: Georgia, USA, 2003.

    Google Scholar 

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Authors and Affiliations

  1. Usikov Institute for Radiophysics and Electronics, National Academy of Sciences of Ukraine, Kharkiv, 61085, Ukraine

    A. Ya. Matveev, D. M. Bychkov, V. K. Ivanov & V. N. Tsymbal

  2. Marine Hydrophysical Institute, Sevastopol, 299011, Russia

    A. A. Kubryakov & S. V. Stanichny

  3. St. Petersburg State University, St. Petersburg, 199034, Russia

    A. A. Kubryakov

  4. Institute of Radio Astronomy, National Academy of Sciences of Ukraine, Kharkiv, 61002, Ukraine

    A. G. Boev

Authors
  1. A. Ya. Matveev
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  2. A. A. Kubryakov
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  3. A. G. Boev
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  4. D. M. Bychkov
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  5. V. K. Ivanov
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  6. S. V. Stanichny
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  7. V. N. Tsymbal
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Corresponding author

Correspondence to A. A. Kubryakov.

Additional information

Original Russian Text © A.Ya. Matveev, A.A. Kubryakov, A.G. Boev, D.M. Bychkov, V.K. Ivanov, S.V. Stanichny, V.N. Tsymbal, 2016, published in Issledovanie Zemli iz Kosmosa, 2016, No. 1–2, pp. 213–224.

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Matveev, A.Y., Kubryakov, A.A., Boev, A.G. et al. Modeling of oil spreading in a problem of radar multiangle diagnostics of Sea surface pollutions. Izv. Atmos. Ocean. Phys. 52, 940–950 (2016). https://doi.org/10.1134/S0001433816090188

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  • DOI: https://doi.org/10.1134/S0001433816090188

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