Article information

2018 , Volume 23, ¹ 4, p.65-82

Kirillov V.V., Kovalevskaya N.M., Pavlov V.E., Kotovshchikov A.V., Semchukov A.N., Pechkin A.S., Skorospekhova T.V., Khvorova L.A., Kolisnichenko N.A., Myshlyakov S.G., Skachkova A.S.

Investigation for dynamics of water quality parameters in the Kara Sea and the adjacent Kara Sea shelf on the basis of archive and time-sensitive satellite observations

Ship and time-sensitive satellite (RapidEye, Terra/ASTER, Landsat-8) data of 2015 are used for analysis. Depth Delft3D-maps is a tool for preliminary analysis. Statistical relationships (determination coefficient changes from 0.92 to 0.99) between optically active substance concentrations and apparent optical properties are revealed. The relationships show optical complexity of the studied area waters and necessity to use the bands (CoastalBlue, Green, RedEdge) for detailed monitoring of phytoplankton and yellow matter in the Kara Sea bays.

Fuzzy cluster analysis of water reflectance was applied for MERIS/ENVISAT data (2003-2011). On this basis, classes of optically complex surface waters of the study area were obtained. By the help of neural network modelling, the dynamics of concentrations of optically active constituents is presented for almost a decade. Characteristics of the relative stability of processes associated with chlorophyll, suspended matter and dissolved organic matter as well as spatial details of the estuary front zone were found. Regular satellite data of high resolution and development of the presented methods are necessary for further monitoring of arctic water quality.

[full text]
Keywords: satellite data, fuzzy clustering, phytoplankton, yellow matter, total suspended matter, modelling of water quality parameter, optically complex waters

doi: 10.25743/ICT.2018.23.16491

Author(s):
Kirillov Vladimir Viktorovich
PhD. , Associate Professor
Position: Head of Laboratory
Office: Institute for water and environmental problems SB RAS
Address: 656038, Russia, Barnaul, 1, Molodezhnaya St.
Phone Office: (3852) 24 02 14
E-mail: vkirillov@iwep.ru

Kovalevskaya NelleyM.
PhD. , Associate Professor
Position: Senior Research Scientist
Office: Institute for water and environmental problems SB RAS
Address: 665038, Russia, Barnaul, Molodezhnaya St.,1
Phone Office: (3852) 66 65 01
E-mail: knm@iwep.asu.ru

Pavlov Vladimir Evgenyevich
Dr. , Professor
Position: General Scientist
Office: Institute for Water and Environmental Problems, Siberian Branch of the Russian Academy of Sciences
Address: 656038, Russia, Barnaul, 1,Molodyoznaya St
E-mail: pavlov@iwep.ru

Kotovshchikov Anton Viktorovich
Office: Institute for Water Environmental Problems SB RAS
Address: 656038, Russia, Barnaul, 1,Molodyoznaya St

Semchukov A N
Address: Russia, Novosibirsk, Barnaul, 1,Molodyoznaya St

Pechkin Alexander Sergeevich
Office: Arctic Research Center of the Yamal-Nenets Autonomous District
Address: 629008, Russia, Salekhard, 1,Molodyoznaya St

Skorospekhova Tatiana Victorovna
Office: Arctic and Antarctic Research Institute
Address: 199397, Russia, St-Petersburg, 1,Molodyoznaya St

Khvorova Lyubov Anatolievna
Office: Altai State University
Address: Russia, Barnaul, St-Petersburg, 1,Molodyoznaya St

Kolisnichenko Nadezhda Alexandrovna
Office: Altai State University
Address: Russia, Barnaul, St-Petersburg, 1,Molodyoznaya St

Myshlyakov Sergey Gennadievich
Office: Sovzond Company Ltd
Address: 656038, Russia, Moscow, 1,Molodyoznaya St

Skachkova Aleksandra Sergeevna
Office: Sovzond Company Ltd
Address: Russia, Moscow, Moscow, 1,Molodyoznaya St

References:
[1] Frey K.E., Comiso J.C., Cooper L.W., Gradinger R.R., Grebmeier J.M., Saitoh S.I. & Tremblay J.E. Arctic Ocean Primary Productivity, Arctic Report Card 2014. Available at: http://www.arctic.noaa.gov/reportcard (accessed 23.09.2017).

[2] Remote Sensing of Ocean Colour in Coastal, and Other Optically-Complex, Waters. IOCCG Report Number 3, 2000. Available at: www.ioccg.org/reports/report3.pdf

[3] Antoine D., Hooker S.B., B´elanger S., Matsuoka A., Babin M. Apparent optical properties of the Canadian Beaufort Sea - Part 1: Observational overview and water column relationships. Biogeosciences. 2013; 10 (7):4493-4509.

[4] Burenkov, V.I., Goldin, Yu.A., Artemev, V.A., Sheberstov, S.V. Optical Characteristics of the Kara Sea Derived from Shipborne and Satellite Data. Oceanology. 2010; 50(5):675-687.

[5] Kuznetsova, O. A., Kopelevich, O. V., Sheberstov, S. V., Burenkov, V. I., Demidov, A. B., Mocharov, S. A. Estimation of Chlorophyll Concentration in the Kara Sea from Data of MODIS-Aqua Satellite Scanner. Earth observation and remote sensing. 2013; (5):21-31. (In Russ.)

[6] Heim, B., Abramova, E., Doerffer, R., Gunther, F., Holemann, J., Kraberg, A., Lantuit, H., Loginova, A., Martynov, F., Overduin, P.P., and Wegner, C. Ocean colour remote sensing in the southern Laptev Sea: evaluation and applications. Biogeosciences. 2014; (11):4191-4210. Doi:10.5194/bg-11-4191-2014.

[7] Sukhanova, I. N., Flint, M. V., Mosharov, S. A., Sergeeva, V. M. Structure of the Phytoplankton Communities and Primary Production
in the Ob River Estuary and over the Adjacent Kara Sea Shelf. Oceanology. 2010; 50(5): 743-758.

[8] Flint, M. V., Poyarkov, S.G. Complex studies of the Kara Sea ecosystem (128th voyage of the research ship "PROFESSOR SHTOKMAN"). Oceanology. 2015; 55(4):723-726 (In Russ.)

[9] Moore, T.S, Dowell, M.D, Bradt, S., Verdu, A.R. An optical water type framework for selecting and blending retrievals from bio-optical algorithms in lakes and coastal waters. Remote sensing of environment. 2014; (143):97-111. Doi:10.1016/j.rse.2013.11.021.

[10] Ruddick, K., Brockmann, C., Doerfferc, R. , Leed, Z., Brotase, V., Fomferrab, N., Groomf, S., Krasemannc, H., Martinez-Vicentef, V., Sae, C., Santerg, R., Sathyendranathf, S., Stelzerb, K., Pinnockh, S. The Coast Colour project regional algorithm round robin exercise. Available at: http://www.coastcolour.org/publications/7858-6.pdf

[11] Deltares, 2014. Delft3D-FLOW User Manual. Simulation of multi-dimensional hydrodynamic flows and transport phenomena, including sediments. Version: 3.15. SVN Revision: 55922, 1 June 2018. Available at: https://content.oss.deltares.nl/delft3d/manuals/Delft3D-FLOW_User_Manual.pdf.

[12] Bukanova, T.V. Tendentsii evtrofirovaniya yugo-vostochnoy chasti Baltiyskogo morya po sputnikovym dannym: Dis. ... kand. geogr. Nauk [Tendencies of eutrophication of the south-eastern part of Baltic Sea by satellite data]. Kaliningrad: AO IO RAN; 2014: 142. ( In Russ.)

[13] Gayevskiy, N. À., Semenova, L. À., Ìàtkovskiy, À. Ê. Trophic status of waters in the ecosystem of the Ob and Taz estuarine area according to indexes of phytoplankton. Bulletin of the Ecology of Forest Science and Landscape Studies. 2009; (10):170-179 (In Russ.)

[14] Mitrofanova, E.Yu. Phytoplankton of lower Ob, gulf of Ob and Khalmyer Bay in summer of 2015. Bulletin of the Altay Branch of the Russian Geographical Society". 2016; 3 (42):61-71. (In Russ.)

[15] Jerlov, N.G. Marine Optics. 2nd ed. New York: Elsevier Science Ltd; 1976:231.

[16] Kovalevskaya, N.M., Kirillov, V.V., Pavlov, V.E., Khabidov, A.S., Lovtskaya, O.V., Fedorova, E.A. Use of satellite data for water quality parameters retrieval and bathymetry derivation for Novosibirsk Reservoir. Computational Technologies. 2016; 21(1):.92-106. ( In Russ.)

[17] Burenkov, V.I, Goldin, Yu.A, Kravchishina, M.D. The Distribution of the Suspended Matter Concentration in the Kara Sea in September 2007 based on Ship and Satellite Data. Ooceanology. 2010; 50(5): 798-805.

[18] Àgatova, À. I., Lapina, N. Ì., Torgunova, N. I. Spatiotemporal Variability of the Organic Matter and the Rates of Its Transformation in the Ob Inlet. Oceanology. 2013; 53(2):175-191.

Bibliography link:
Kirillov V.V., Kovalevskaya N.M., Pavlov V.E., Kotovshchikov A.V., Semchukov A.N., Pechkin A.S., Skorospekhova T.V., Khvorova L.A., Kolisnichenko N.A., Myshlyakov S.G., Skachkova A.S. Investigation for dynamics of water quality parameters in the Kara Sea and the adjacent Kara Sea shelf on the basis of archive and time-sensitive satellite observations // Computational technologies. 2018. V. 23. ¹ 4. P. 65-82
Home| Scope| Editorial Board| Content| Search| Subscription| Rules| Contacts
ISSN 1560-7534
© 2024 FRC ICT