USING WATER TYPE DIAGRAM TO CHARACTERIZE PROCESSES IN THE UPPER SUN-LIT WATER LAYER FOR THE COMPLEX RESEARCH IN THE CASPIAN SEA AS AN EXAMPLE

Authors

  • V. V. Rostovtseva Shirshov Institute of Oceanology, Russian Academy of Sciences

DOI:

https://doi.org/10.29006/1564-2291.JOR-2025.53(4).3

Keywords:

coastal sea waters, passive optical remote sensing, spectral radiance coefficient of the sea, concentration of suspended matter, concentration of phytoplankton pigments, concentration of dissolved organic matter, allochthonous impurities

Abstract

The position of the points obtained from the data of the concentration of the three sea water main natural components on the Water Type Diagram allowed us to draw conclusions about the autochthonous and allochthonous processes prevailing off the eastern coast of the Middle Caspian in the Aktau region. The conclusions drawn were confirmed by the results of complex studies from the r/v, including vertical sounding of waters at the stations.

References


  1. Alikas, K., I. Ansko, V. Vabson, A. Ansper, K. Kangro, K. Uudeberg, and M. Ligi, 2020: Consistency of radiometric satellite data over lakes and coastal waters with local field measurements. Remote Sens., 12 (4), 616, EDN: BSZQXX, https://doi.org/10.3390/rs12040616.

  2. Atwood, E. C., T. Jackson, A. Laurenson, B. F. Jönsson, E. Spyrakos, D. Jiang, G. Sent, N. Selmes, S. Simis, and O. Danne, 2024: Framework for Regional to Global Extension of Optical Water Types for Remote Sensing of Optically Complex Transitional Water Bodies. Remote Sens., 16 (17), 3267, EDN: WZMARH, https://doi.org/10.3390/rs16173267.

  3. Drozdova, A. N., V. V. Pelevin, I. N. Krylov, E. A. Streltsova, and B. V. Konovalov, 2022: Dissolved Organic Matter of the Surface Water Layer of Gelendzhik Bay in September 2021 according to Fluorimetry and Lidar Measurements. Oceanology, 62 (6), 765–772, EDN: YEDOOX, https://doi.org/10.1134/S0001437022060030.

  4. Eleveld, M. A., A. B. Ruescas, A. Hommersom, T. S. Moore, S. W. M. Peters, and C. Brockmann, 2017: An optical classification tool for global lake waters. Remote Sens, 9 (5), 420–444, https://doi.org/10.3390/rs9050420.

  5. Giannini, F., B. P. V. Hunt, D. Jacoby, and M. Costa, 2021: Performance of OLCI Sentinel-3A Satellite in the Northeast Pacific Coastal Waters. Remote Sens. Environ, 256, 112317, EDN: IDMMIC, https://doi.org/10.1016/j.rse.2021.112317.

  6. Khlebopashev, P. V., A. A. Polukhin, K. V. Litvinov, G. V. Borisenko, M. V. Bukhanov, A. B. Grabovsky, P. O. Zavyalov, O. Yu. Kalinina, A. V. Kostyleva, V. V. Kremenetskiy, A. M. Seliverstova, and S. V. Stepanova, 2022: Expeditionary Studies of the Current State of the Volga River Avandelta Ecosystem during the Flow Period. Oceanology, 62 (5), 733–734, EDN: LUYREM, https://doi.org/10.1134/s000143702205006x.

  7. Konovalov, B. V., M. D. Kravchishina, N. A. Belyaev, and A. N. Novigatsky, 2014: Determination of the Concentration of Mineral Particles and Suspended Organic Substance based on their Spectral Absorption. Oceanology, 54 (5), 660–667, EDN: UFGGAH, https://doi.org/10.1134/S0001437014040067.

  8. Kravchishina, M. D., A. A. Klyuvitkin, V. N. Lukashin, N. V. Politova, A. N. Novigatsky, and A. P. Lisitsyn, 2018: Distribution of suspended particulate matter in the Caspian Sea. Russian Meteorology and Hydrology, 43 (10), 697–705, EDN: HUOHYF, https://doi.org/10.3103/S1068373918100096.

  9. Makkaveev, P. N., V. V. Gordeev, P. O. Zavialov, and A. K. Kurbaniyazov, 2018: Hydrochemical and Hydrological Conditions in the Ural River Lower Reachers and in the Caspean Sea Mouth Region at the Beginning of the Spring Flood. Russian Meteorology and Hydrology, 43 (10), 706–712, EDN: JNZFAS, https://doi.org/10.3103/S1068373918100102.

  10. Pope, R. M. and E. S. Fry, 1997: Absorption spectrum (380–700 nm) of pure water. Integrating cavity measurements. Appl. Opt., 36 (33), 8710–8723, https://doi.org/10.1364/AO.36.008710.

  11. Rostovtseva, V. V., 2016: Method for sea water absorption estimation on the basis of shipboard passive remote sensing data and pure sea water properties. Atmospheric and Oceanic Optics, 29 (2), 162–170, EDN: WUJCRJ, https://doi.org/10.1134/S102485601602010X.

  12. Rostovtseva, V. V., I. V. Goncharenko, B. V. Konovalov, and A. F. Alukaeva, 2018: Rapid Estimation of the Ecological State of Coastal Water Areas Based on Shipboard Passive Remote Optical Sensing of the Water Surface. Atmospheric and Oceanic Optics, 31 (3), 225–231, EDN: MANUDB, https://doi.org/10.1134/S1024856018030132.

  13. Rostovtseva, V. V., A. S. Izhitskiy, I. V. Goncharenko, B. V. Konovalov, and P. O. Zavialov, 2021: On the Influence of Hydrophysical Conditions on Representativeness of Hydrooptical Measurements for Coastal Regions of the Middle Caspian Sea as an Example. Atmospheric and Oceanic Optics, 34 (6), 649–657, EDN: MHZWXN, https://doi.org/10.1134/S1024856021060208.

  14. Rostovtseva, V. V., 2025: Comparative analysis of coastal water types based on passive optical sensing data. Journal of Oceanological Research, 53 (1), 5–17, EDN: AFJRQL, https://doi.ocean.ru/10.29006/1564-2291.JOR-2025.53(1).1.

  15. Salama, M. S., L. Spaias, K. Poser, S. Peters, and M. Laanen, 2022: Validation of Sentinel-2 (MSI) and Sentinel-3 (OLCI) Water Quality Products in Turbid Estuaries Using Fixed Monitoring Stations. Front. Remote Sens, 2, 808287, EDN: SSIRSN, https://doi.org/10.3389/frsen.2021.808287.

  16. Spyrakos, E., R. O’Donnell, P. D. Hunter, C. Miller, M. Scott, S. G. H. Simis, C. Neil, C. C. F. Barbosa, C. E. Binding, and S. Bradt, 2018: Optical Types of Inland and Coastal Waters. Limnol. Oceanogr., 63 (2), 846–870, EDN: YFTMQH, https://doi.org/10.1002/lno.10674.

  17. Warren, M. A., S. G. H. Simis, V. Martinez-Vicente, K. Poser, M. Bresciani, K. Alikas, E. Spyrakos, C. Giardino, and A. Ansper, 2019: Assessment of Atmospheric Correction Algorithms for the Sentinel-2A MultiSpectral Imager over Coastal and Inland Waters. Remote Sens. Environ., 225, 267–289, EDN: WZJTIO, https://doi.org/10.1016/j.rse.2019.03.018.

  18. Wozniak, B. and J. Dera, 2007: Light Absorption in Sea Water. New York: Springer Science+Business Media, LLC. 453 p., EDN: YCTTSV, https://doi.org/10.1007/978-0-387-49560-6.

  19. Xue, K., R. Ma, D. Wang, and M. Shen, 2019: Optical Classification of the Remote Sensing Reflectance and Its Application in Deriving the Specific Phytoplankton Absorption in Optically Complex Lakes. Remote Sens., 11 (2), 184, https://doi.org/10.3390/rs11020184.

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Published

2025-12-21

Issue

Vol. 53 No. 4 (2025): Journal of Oceanological Research

Section

Ocean physics and climate

License

Transfer of copyrights occurs on the basis of a license agreement between the Author and Shirshov Institute of Oceanology, RAS

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