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Telecommunications and Radio Engineering
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN Imprimir: 0040-2508
ISSN En Línea: 1943-6009

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Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v75.i4.30
pages 313-331

MULTIANGULAR SATELLITE RADAR DIAGNOSTICS OF OIL SPILLS ON THE SEA SURFACE: VALIDATION OF THE METHOD

A. Ya. Matveyev
A.Ya. Usikov Institute for Radiophysics and Electronics of the National Academy of Sciences of Ukraine 12, Academician Proskura St., Kharkiv 61085, Ukraine
А. А. Kubriakov
Institute for Marine Hydrophysics #2, Captains' St., Sevastopol, Crimea,Ukraine
A. G. Boyev
Institute of Radio Astronomy, National Academy of Sciences of Ukraine, #4, Chervonopraporna St, Kharkov, UA-61002, Ukraine
D. M. Bychkov
A.Ya. Usikov Institute for Radiophysics and Electronics of the National Academy of Sciences of Ukraine 12, Academician Proskura St., Kharkiv 61085, Ukraine
S. A. Velichko
A. Usikov Institute of Radio Physics and Electronics, National Academy of Sciences of Ukraine
V. K. Ivanov
O.Ya. Usikov Institute for Radio Physics and Electronics, National Academy of Sciences of Ukraine 12, Academician Proskura St., Kharkiv 61085, Ukraine
S. V. Stanichniy
Institute for Marine Hydrophysics, #2, Captains' St., Sevastopol, Crimea, Ukraine
V. N. Tsymbal
A.Ya. Usikov Institute for Radiophysics and Electronics of the National Academy of Sciences of Ukraine 12, Academician Proskura St., Kharkiv 61085, Ukraine

SINOPSIS

A validation scheme is suggested for the multiangular satellite radar diagnostics of oil pollutions on the sea surface, which proceeds from collation of the radar-obtained estimates for mass and thickness of the spilled oil film with similar magnitudes that follow from the new simulation model of oil spreading (FOTS, for Floating Object Tracking System). The measured data used in the validation were obtained during Synthetic-Aperture Radar (SAR) monitoring of the Caspian Sea near the Neft Daslari (Neftyanye Kamni, or Oil Rocks) oil field. The spaceborne SAR was Envisat-1. The FOTS model permits forecasting the motion dynamics and mass and size evolution of an oil slick over time, proceeding from the data of satellite measurements and of atmospheric re-analysis. The model accounts for the major processes influencing oil slick formation, such as gravitation-controlled spreading, advective transfer, dispersion, emulsification, turbulent mixing and evaporation. By applying the model it is possible to calculate variations in the film thickness and dynamics of its motion in between the radar measurements in the region (i.e. over 12 hr to 48 hr periods), and evaluate volumes of the spilled oil. Validity of the method is confirmed by the agreement of film thickness magnitudes as deduced from the radar measurements and such obtained as a result of modeling.


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