Spectral Contrasts of Short Wind Waves in Artificial Slicks from the Sea Surface Photographs

V. A. Dulov, M. V. Yurovskaya

Marine Hydrophisical Institute, Russian Academy of Sciences, Sevastopol, Russian Federation

e-mail: mvkosnik@gmail.com

Abstract

Purpose. The aim of the work is to evaluate the contrasts between the two-dimensional spectra of the short wind waves on a clean sea surface and on the surface covered by a thin film of vegetable oil. The contrast angular dependence, which is still not understood, is of particular interest. The study is intended to widen the base of empirical notions of wave suppression on the surfactant films in field conditions. Its results may be useful both for theoretical modeling the short wind wave spectra, and for developing the methods for remote monitoring of the ocean.

Methods and Results. The contrasts were assessed by analyzing the sea surface photographs taken from the Platform of the Black Sea hydrophisical subsatellite polygon (Katsiveli) during the specialized experiments aimed at obtaining artificial slicks using vegetable oil spills. The applied in the study simple method for estimating the contrasts is based on the assumptions of a linear relationship between the brightness and the sea surface slope, and of the invariability of the brightness – slope transfer function at transition from a clean sea surface to a slick. In contrast to the previously applied methods, this approach makes it possible to obtain the contrasts varying both in wavenumber and direction. Obtaining the estimates of the shortest wave characteristics usually constitutes the utmost technical difficulty. In the work, the spectral contrasts are evaluated for the wind waves whose lengths are from ~ 20 to ~ 1 cm.

Conclusions. At moderate wind speeds (6–8 m/s), the obtained contrasts increase monotonically with the wavenumber up to the values ~ 10. Under calm conditions (wind speed 0.5 m/s), the spectral contrast maximum (~ 30–50) is observed at the wavenumber peak ~ 100 rad/m that is qualitatively confirmed by the estimates from a string wave gauge. These results are consistent with the previous measurements performed by the other authors. The two-dimensional contrast distributions are anisotropic with the maximum in the direction perpendicular to the wind one. At moderate winds, the anisotropy increases with growth of a wavenumber.

Keywords

sea surface slicks, short wind waves, wave spectrum, field measurements

Acknowledgements

The study was carried out within the framework of the state task on theme No. 0555-2021-0005 and at support of the RFBR grant No. 19-05-00-752A.

Original russian text

Original Russian Text © V. A. Dulov, M. V. Yurovskaya, 2021, published in MORSKOY GIDROFIZICHESKIY ZHURNAL, Vol. 37, Iss. 3, pp. 373-386 (2021)

For citation

Dulov, V.A. and Yurovskaya, M.V., 2021. Spectral Contrasts of Short Wind Waves in Artificial Slicks from the Sea Surface Photographs. Physical Oceanography, 28(3), pp. 348-360. doi:10.22449/1573-160X-2021-3-348-360

DOI

10.22449/1573-160X-2021-3-348-360

References

  1. Ermakov, S.A., 2010. [Influence of the Surfactant Films on the Dynamics of Gravity-Capillary Waves]. Nizhny Novgorod: IAP RAS, 164 p (in Russian).
  2. Ermakov, S.A., Kapustin, I.A., Lazareva, T.N., Sergievskaya, I.A. and Andriyanova, N.V., 2013. On the Possibilities of Radar Probing of Eutrophication Zones in Water Reservoirs. Izvestiya, Atmospheric and Oceanic Physics, 49(3), pp. 307-314. doi:10.1134/S0001433813030055
  3. Cox, C.S., Zhang, X. and Duda, T.F., 2017. Suppressing Breakers with Polar Oil Films: Using an Epic Sea Rescue to Model Wave Energy Budgets. Geophysical Research Letters, 44(3), pp. 1414-1421. doi:10.1002/2016GL071505
  4. Ermakov, S.A., Sergievskaya, I.A., Da Silva, J.C.B., Kapustin, I.A., Shomina, O.V., Kupaev, A.V. and Molkov, A.A., 2018. Remote Sensing of Organic Films on the Water Surface Using Dual Co-Polarized Ship-Based X-/C-/S-Band Radar and TerraSAR-X. Remote Sensing, 10(7), 1097. doi:10.3390/rs10071097
  5. Benetazzo, A., Cavaleri, L., Ma, H., Jiang, S., Bergamasco, F., Jiang, W., Chen, S. and Qiao, F., 2019. Analysis of the Effect of Fish Oil on Wind Waves and Implications for Air–Water Interaction Studies. Ocean Science, 15(3), pp. 725-743. https://doi.org/10.5194/os-15-725-2019
  6. Bondur, V.G., 2011. Aerospace Methods and Technologies for Monitoring Oil and Gas Areas and Facilities. Izvestiya, Atmospheric and Oceanic Physics, 47(9), pp. 1007-1018. doi:10.1134/S0001433811090039
  7. Kudryavtsev, V., Myasoedov, A., Chapron, B., Johannessen, J.A. and Collard, F., 2012. Joint Sun-Glitter and Radar Imagery of Surface Slicks. Remote Sensing of Environment, 120, pp. 123-132. doi:10.1016/j.rse.2011.06.029
  8. Lavrova, O.Yu., Mityagina, M.I. and Kostianoy, A.G., 2016. Satellite Methods for Detecting and Monitoring Marine Zones of Ecological Risk. Moscow: SRI RAS, 334 p (in Russian).
  9. Fingas, M. and Brown, C.E., 2018. A Review of Oil Spill Remote Sensing. Sensors, 18(1), 91. doi:10.3390/s18010091
  10. Bondur, V.G., 2004. Aerospace Methods in Modern Oceanology. In: M. E. Vinogradov and S. S. Lappo, eds., 2004. New Ideas in Oceanology. Vol. I: Physics. Chemistry. Biology. Moscow: Nauka, pp. 55-117 (in Russian).
  11. Yurovskaya, M.V., Kudryavtsev, V.N., Chapron, B. and Dulov, V.A., 2014. Interpretation of Black Sea Optical Satellite Images in Sun Glitter Area. Morskoy Gidrofizicheskiy Zhurnal, (4), pp. 68-82 (in Russian).
  12. Dulov, B.A., Yurovskaya, M.V. and Kozlov, I.E., 2015. Coastal Zone of Sevastopol on High Resolution Satellite Images. Physical Oceanography, (6), pp. 39-54. doi:10.22449/1573-160X-2015-6-39-54
  13. Kapustin, I.A., Shomina, O.V., Ermoshkin, A.V., Bogatov, N.A., Kupaev, A.V., Molkov, A.A. and Ermakov, S.A., 2019. On Capabilities of Tracking Marine Surface Currents Using Artificial Film Slicks. Remote Sensing, 11(7), 840. doi:10.3390/rs11070840
  14. Cox, C. and Munk, W., 1954. Measurement of the Roughness of the Sea Surface from Photographs of the Sun’s Glitter. Journal of the Optical Society of America, 44(11), pp. 838-850. https://doi.org/10.1364/JOSA.44.000838
  15. Malinovsky, V.V., Dulov, V.A., Korinenko, A.E., Bol’shakov, A.N. and Smolov, V.E., 2007. Field Investigations of the Drift of Artificial Thin Films on the Sea Surface. Izvestiya, Atmospheric and Ocean Physics, 43(1), pp. 103-111. doi:10.1134/S0001433807010124
  16. Munk, W., 2009. An Inconvenient Sea Truth: Spread, Steepness, and Skewness of Surface Slopes. Annual Review of Marine Science, 1, pp. 377-415. doi:10.1146/annurev.marine.010908.163940
  17. Korinenko, A.E. and Malinovsky, V.V., 2014. Field Study of Film Spreading on a Sea Surface. Oceanologia, 56(3), pp. 461-475. doi:10.5697/oc.56-3.461
  18. Ermakov, S.A., Pelinovsky, E.N. and Talipova, T.G., 1980. Influence of Surface-Active Material Films upon Spectral Changes in Wind Ripple Produced by Internal Waves. Izvestiya Akademii Nauk SSSR Fizika Atmosfery i Okeana, 16(10), pp. 1068-1076 (in Russian).
  19. Ermakov, S.A., Salashin, S.G. and Panchenko, A.R., 1992. Film Slicks on the Sea Surface and Some Mechanisms of Their Formation. Dynamics of Atmospheres and Oceans, 16(3–4), pp. 279-304. https://doi.org/10.1016/0377-0265(92)90010-Q
  20. Gade, M., Alpers, W., Hühnerfuss, H., Wismann, V.R. and Lange, P.A., 1998. On the Reduction of the Radar Backscatter by Oceanic Surface Films: Scatterometer Measurements and Their Theoretical Interpretation. Remote Sensing of Environment, 66(1), pp. 52-70. doi:10.1016/S0034-4257(98)00034-0
  21. Gade, M., Alpers, W., Hühnerfuss, H., Masuko, H. and Kobayashi, T., 1998. Imaging of Biogenic and Anthropogenic Ocean Surface Films by the Multifrequency/Multipolarization SIR-C/X-SAR. Journal of Geophysical Research: Oceans, 103(C9), pp. 18851-18866. https://doi.org/10.1029/97JC01915
  22. Skrunes, S., Brekke, C., Eltoft, T. and Kudryavtsev, V., 2015. Comparing Near-Coincident C- and X-Band SAR Acquisitions of Marine Oil Spills. IEEE Transactions on Geoscience and Remote Sensing, 53(4), pp. 1958-1975. doi:10.1109/TGRS.2014.2351417
  23. Hansen, M.W., Kudryavtsev, V., Chapron, B., Brekke, C. and Johannessen, J.A., 2016. Wave Breaking in Slicks: Impacts on C-Band Quad-Polarized SAR Measurements. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(11), pp. 4929-4940. doi:10.1109/JSTARS.2016.2587840
  24. Ermakov, S.A., Sergievskaya, I.A. and Gushchin, L.A., 2006. [Remote Sensing of Films of Marine Surface]. Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa, 3(2), pp. 86-98 (in Russian).
  25. Kudryavtsev, V.N., Ivanova, N.A., Gushchin, L.A. and Ermakov, S.A., 2008. [An Estimate of Wind Waves Damping by Biogenic and Oil Surface Films. Preprint no. 765]. Nizhny Novgorod: IAP RAS, 30 p. (in Russian).
  26. Stilwell, D., 1969. Directional Energy Spectra of the Sea from Photographs. Journal of Geophysical Research: Oceans, 74(8), pp. 1974-1986. https://doi.org/10.1029/JB074i008p01974
  27. Ermakov, S.A., Zujkova, A.M. and Salashin, S.G., 1987. Transformation of Short Wind Wave Spectra in Film Slicks. Izvestiya Akademii Nauk SSSR Fizika Atmosfery i Okeana, 23(7), pp. 707-715 (in Russian).
  28. Bol’shakov, A.N., Burdjugov, V.M., Grodsky, S.A. and Kudrjavtsev, V.N., 1990. Two-Dimensional Surface Elevation Spectra from Airphoto Data. Izvestiya Akademii Nauk SSSR Fizika Atmosfery i Okeana, 26(6), pp. 652-658 (in Russian).
  29. Bol’shakov, A.N., Burdyugov, V. M., Grodskii, S.A., Kudryavtsev, V.N., and Proshchenko, V.G., 1990. Spectra of Energy-Bearing Surface Waves Determined from Sun Glitter Images. Comparison with In-Situ Data. Issledovanie Zemli iz Kosmosa, (1), pp. 20-27 (in Russian).
  30. Lupyan, E.A., 1988. Reconstructing the Angular Energy Distribution in the 2D-Spectrum of the Rough Sea Surface from Its Optical Imagery. Issledovanie Zemli iz Kosmosa, (3), pp. 31-35 (in Russian).
  31. Kosnik, M.V. and Dulov, V.A., 2011. Extraction of Short Wind Wave Spectra from Stereo Images of the Sea Surface. Measurement Science and Technology, 22(1), 015504. doi:10.1088/0957-0233/22/1/015504
  32. Kudryavtsev, V., Yurovskaya, M., Chapron, B., Collard, F. and Donlon, C., 2017. Sun Glitter Imagery of Ocean Surface Waves. Part 1: Directional Spectrum Retrieval and Validation. Journal of Geophysical Research: Oceans, 122(2), pp. 1369-1383. doi:10.1002/2016JC012425
  33. Murynin, A.B., 1990. Sea Surface 2-D Spectra Recovered from Optical Images in Nonlinear Radiance Model. Issledovanie Zemli iz Kosmosa, (6), pp. 60-70 (in Russian).
  34. Bondur, V.G., Dulov, V.A., Murynin, A.B. and Yurovsky, Yu.Yu., 2016. A Study of Sea-Wave Spectra in a Wide Wavelength Range from Satellite and In-Situ Data. Izvestiya, Atmospheric and Oceanic Physics, 52(9), pp. 888-903. doi:10.1134/S0001433816090097
  35. Monaldo, F.M. and Kasevich, R.S., 1981. Daylight Imagery of Ocean Surface Waves for Wave Spectra. Journal of Physical Oceanography, 11(2), pp. 272-283. https://doi.org/10.1175/1520-0485(1981)011%3C0272:DIOOSW%3E2.0.CO;2
  36. Chapman, R.D. and Irani, G.B., 1981. Errors in Estimating Slope Spectra from Wave Images. Applied Optics, 20(20), pp. 3645-3652. https://doi.org/10.1364/AO.20.003645
  37. Sergievskaya, I.A., 2010. Possibilities of Using Optical Spectral Analysis to Estimate Characteristics of Roughness in the Presence of Films on the Sea Surface. Izvestiya, Atmospheric and Oceanic Physics, 46(1), pp. 121-127. https://doi.org/10.1134/S0001433810010159
  38. Yurovskaya, M.V., Dulov, V.A., Chapron, B. and Kudryavtsev, V.N., 2013. Directional Short Wind Wave Spectra Derived from the Sea Surface Photography. Journal of Geophysical Research: Oceans, 118(9), pp. 4380-4394. doi:10.1002/jgrc.20296
  39. Laxague, N.J.M., Zappa, C.J., LeBel, D.A. and Banner, M.L., 2018. Spectral Characteristics of Gravity‐Capillary Waves, with Connections to Wave Growth and Microbreaking. Journal of Geophysical Research: Oceans, 123(7), pp. 4576-4592. https://doi.org/10.1029/2018JC013859
  40. Zappa, C.J., Banner, M.L., Schultz, H., Corrada-Emmanuel, A., Wolff, L.B. and Yalcin, J., 2008. Retrieval of Short Ocean Wave Slope Using Polarimetric Imaging. Measurement Science and Technology, 19(5), 055503. https://doi.org/10.1088/0957-0233/19/5/055503
  41. Yurovsky, Yu.Yu. and Dulov, V.A., 2020. MEMS-Based Wave Buoy: Towards Short Wind-Wave Sensing. Ocean Engineering, 217, 108043. https://doi.org/10.1016/j.oceaneng.2020.108043
  42. Jähne, B., 2005. Digital Image Processing. Berlin: Springer, 608 p. doi:10.1007/3-540-27563-0
  43. Bendat, J.S. and Piersol, A.G., 2010. Random Data: Analysis and Measurement Procedures. New York: Wiley, 640 p.
  44. Plant, W.J., 1982. A Relation between Wind Stress and Wave Slope. Journal of Geophysical Research: Oceans, 87(C3), pp. 1961-1967. https://doi.org/10.1029/JC087iC03p01961
  45. Dulov, V.A. and Kosnik, M.V., 2009. Effects of Three-Wave Interactions in the Gravity-Capillary Range of Wind Waves. Izvestiya, Atmospheric and Oceanic Physics, 45(3), pp. 380-391. doi:10.1134/S0001433809030116
  46. Kudryavtsev, V. and Johannessen, J., 2004. On Effect of Wave Breaking on Short Wind Waves. Geophysical Research Letters, 31(20), L20310. doi:10.1029/2004GL020619

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