Assessment of Applicability of Satellite-Derived Ocean Color Data for Studying Variability of Total Suspended Matter in the Surface Layer of the Deep Part of the Black Sea

A. S. Kukushkin, V. V. Suslin

Marine Hydrophysical Institute of RAS, Sevastopol, Russian Federation

e-mail: divin@ocean.ru

Abstract

Purpose. Studies of spatial-temporal variability of total suspended matter are necessary for understanding the biochemical processes which form and support stable functioning of a marine ecosystem. The aim of the work is to assess applicability of satellite data for studying total suspended matter variability in the surface layer of the deep part of the Black Sea.

Methods and Results. Application of the regression analysis yielded the linear regression equations that unite the in situ measurements of the total suspended matter concentrations in the surface layer in the northeastern (June, 2005–2015) and western (November, 2016, 2017 and December, 2017) deep sea areas, and the regional satellite products (the particulate backscattering coefficient, the absorption coefficient of colored detrital matter and the chlorophyll a concentration). Based on the measured and calculated data arrays, the maps of the total suspended matter concentrations in the surface layer of the northeastern Black Sea were constructed. The interannual changes in the in situ measured concentrations of the total suspended and lithogenic matters, as well as in the quasi-synchronous satellite regional products (the light absorption coefficient of colored detrital matter at 490 nm and the particulate backscattering coefficient at 555 nm) in June, 2005–2015 were considered. High total suspended matter concentrations were noted in 2012, just when extreme growth of the coccolithophorid population was observed in the Black Sea. The correlation coefficients were used to evaluate whether the relation between the total suspended matter concentration and the individual analyzed parameters was fast.

Conclusions. Spatial distributions of the measured and calculated total suspended matter contents showed satisfactory agreement. In course of the whole observation period, difference between the values of the measured and calculated total suspended matter concentrations was on average 6–23 %. Possibility of application of the satellite-derived ocean color data for studying spatial-temporal variability of the total suspended matter content is shown.

Keywords

Black Sea, total suspended matter, MODIS, particulate backscattering coefficient, light absorption coefficient, regression, correlation

Acknowledgements

The research was carried out within the framework of the state task on theme No. 0827-2018-0001 “Fundamental studies of interaction processes in the ocean-atmosphere system conditioning regional spatial-temporal variability of natural environment and climate”.

Original russian text

Original Russian Text © A. S. Kukushkin, V. V. Suslin, 2020, published in MORSKOY GIDROFIZICHESKIY ZHURNAL, Vol. 36, Iss. 5, pp. 595–605 (2020)

For citation

Kukushkin, A.S. and Suslin, V.V., 2020. Assessment of Applicability of Satellite-Derived Ocean Color Data for Studying Variability of Total Suspended Matter in the Surface Layer of the Deep Part of the Black Sea. Physical Oceanography, 27(5), pp. 547-556. doi:10.22449/1573-160X-2020-5-547-556

DOI

10.22449/1573-160X-2020-5-547-556

References

  1. Romankevich, E.A., 1977. [Geochemistry of Organic Matter in the Ocean]. Moscow: Nauka, 256 p. (in Russian).
  2. Alimov, A.F., 2000. [Elements of the Theory of Water Ecosystem Functioning]. Saint Petersburg: Nauka, 147 p. (in Russian).
  3. Burlakova, Z.P., Eremeeva, L.V. and Konovalov, S.K., 2000. Seasonal and Spatial Variability of the Content of Suspended Organic Substances in the Active Layer of the Black Sea. Physical Oceanography, 10(5), pp. 419-454. https://doi.org/10.1007/BF02515365
  4. Eremeev, V.N. and Konovalov, S.K., eds., 2012. [Stability and Evolution of Oceanological Characteristics of the Black Sea Ecosystem]. Sevastopol: ECOSI-Gidrofizika, 357 p. (in Russian).
  5. Lisitsyn, A.P., 1991. [Processes of Terrigenous Sedimentation in the Seas and Oceans]. Moscow: Nauka, 270 p. (in Russian).
  6. Emelianov, E.M., 1962. Some Data on the Suspended Matter in the Black and Mediterranean Seas. Okeanologia, 2(4), pp. 664-672 (in Russian).
  7. Vityuk, D.M., 1975. [Suspended Matter and Its Components in the Black Sea]. Gidrobiologicheskiy Zhurnal, 11(1), pp. 12-18 (in Russian).
  8. Trimonis, E.S. and Shimkus, K.M., 1976. Quantitative Distribution of Suspended Matter in the Black Sea. Okeanologia, 16(4), pp. 648-654 (in Russian).
  9. Vostokov, S.V., 1997. Suspended Matter as an Index of Productivity in the Western Black Sea (Application for Productivity and Eutrophication Control). In: E. Özsoy and A. Mikaelyan, eds., 1997. Sensitivity to Change: Black Sea, Baltic Sea and Nord Sea. Dordrecht: Springer, pp. 211-221.
  10. Kukushkin, A.S., 2014. Variability of Suspended Organic Matter in the Surface Layer of the Black Sea (Deep-Sea Areas). Oceanology, 54(5), pp. 606-617. https://doi.org/10.1134/S0001437014050099
  11. Dimitrov, P.S., Stoyanov, A.S. and Shtereva, G.P., 1981. On the Distribution of Suspended Material in Western Part of the Black Sea-Water Area. Dokladi na Bolgarskata Akademiya na Naukite, 34(10), pp. 1429-1431.
  12. Klyuvitkin, A.A., Kravchishina, M.D., Lisitzin, A.P., Demina, L.L., Dara, O.M., Novigatsky, A.N., Rusanov, I.I. and Solomatina, A.S., 2018. Vertical Fluxes of Dispersed Sedimentary Matter in the Deep-Water Part of the Black Sea. In: A. P. Lisitsyn, ed., 2018. The Black Sea System. Moscow: Scientific World, pp. 350-397. doi:10.29006/978-5-91522-473-4.2018 (in Russian).
  13. Kopelevich, O.V., Burenkov, V.I., Ershova, S.V., Sheberstov, S.V. and Evdoshenko, M.A., 2004. Application of SeaWiFS Data for Studying Variability of Bio-Optical Characteristics in the Barents, Black and Caspian Seas. Deep Sea Research Part II: Topical Studies in Oceanography, 51(10–11), pp. 1063-1091. https://doi.org/10.1016/j.dsr2.2003.10.009
  14. Finenko, Z.Z., Suslin, V.V. and Churilova, T.Ya., 2010. Estimation of Phytoplankton Productivity in the Black Sea Based on Satellite Data. Doklady Biological Sciences, 432(1), pp. 233-236. https://doi.org/10.1134/S0012496610030191
  15. Kukushkin, A.S. and Parkhomenko, A.V., 2018. Evaluation of Applicability of the Satellite Data for Studying Suspended Organic Matter Variability in the Surface Layer of the Black Sea. Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa, 15(1), pp. 195-205. doi:10.21046/2070-7401-2018-15-1-195-205 (in Russian).
  16. Kukushkin, A.S. and Parkhomenko, A.V., 2019. Variability of the Content of Suspended Organic Matter along the Southwestern Crimean Coast According to Ship and Satellite Observations. Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa, 16(1), pp. 137-146. doi:10.21046/2070-7401-2019-16-1-137-146 (in Russian).
  17. Vazyulya, S.V., Kopelevich, O.V., Sheberstov, S.V. and Artemiev, V.A., 2014. Satellite Estimation of the Coefficients of CDOM Absorption and Diffuse Attenuation in the White and Kara Seas. Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa, 11(4), pp. 31-41 (in Russian).
  18. Gordon, H.R., Boynton, G.C., Balch, W.M., Groom, S.B., Harbour, D.S. and Smyth, T.J., 2001. Retrieval of Coccolithophore Calcite Concentration from SeaWiFS Imagery. Geophysical Research Letters, 28(8), pp. 1587-1590. https://doi.org/10.1029/2000GL012025
  19. Suetin, V.S. and Korolev, S.N., 2018. Estimating Specific Features of the Optical Property Variability in the Black Sea Waters Using the Data of SeaWiFS and MODIS Satellite Instruments. Physical Oceanography, 25(4), pp. 330-340. doi:10.22449/1573-160X-2018-4-330-340
  20. Kremenchutskiy, D.A., Kubryakov, A.A., Zav’yalov, P.O., Konovalov, B.V., Stanichniy, S.V. and Aleskerova, A.A., 2014. Determination of the Suspended Matter Concentration in the Black Sea using to the Satellite MODIS Data. In: MHI, 2014. Ekologicheskaya Bezopasnost' Pribrezhnykh i Shel'fovykh Zon i Kompleksnoe Ispol'zovanie Resursov Shel'fa [Ecological Safety of Coastal and Shelf Zones and Comprehensive Use of Shelf Resources]. Sevastopol: ECOSI-Gidrofizika. Iss. 29, pp. 5-9 (in Russian).
  21. Gel’man, E.M. and Starobina, I.Z., 1976. [Photometric Methods for the Determination of Major Elements in Ores, Rocks, and Minerals]. Moscow: GEOKhI AN SSSR, 69 p. (in Russian).
  22. Suslin, V.V. and Churilova, T.Ya., 2016. A Regional Algorithm for Separating Light Absorption by Chlorophyll-a and Coloured Detrital Matter in the Black Sea, Using 480–560 nm Bands from Ocean Colour Scanners. International Journal of Remote Sensing, 37(18), pp. 4380-4400. https://doi.org/10.1080/01431161.2016.1211350
  23. Suslin, V., Pryahina, S., Churilova, T. and Slabakova, V., 2016. The Black Sea IOPs Based on SeaWiFS Data. In: SPIE, 2016. Proceedings of SPIE 10035, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 1003531. doi:10.1117/12.2248332
  24. Suslin, V.V., Suetin, V.S., Korolev, S.N. and Kucheryavyi, A.A., 2007. Use of SeaWiFS Data to Estimate Water Optical Properties of the Black Sea. In: SPIE, 2007. Proceedings of SPIE 6615, Current Research on Remote Sensing, Laser Probing, and Imagery in Natural Waters, 661509. doi:10.1117/12.740445
  25. Erenberg, A.M., 1981. [Analysis and Interpretation of Statistical Data]. Мoscow: Finansy i statistika, 406 p. (in Russian).

Download the article (PDF)