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Home » Archive of journals » Volume 16, No. 1, 2026 » Comprehensive assessment of the Barents Sea water quality based on trophic indices in aquaculture farm locations using remote sensing methods

COMPREHENSIVE ASSESSMENT OF THE BARENTS SEA WATER QUALITY BASED ON TROPHIC INDICES IN AQUACULTURE FARM LOCATIONS USING REMOTE SENSING METHODS

JOURNAL: Volume 16, No. 1, 2026, p. 40-52

HEADING: New technologies for the Arctic

AUTHORS: Skuratova, P.N., Khasanova, L.N., Musina, S.A.

ORGANIZATIONS: Ufa University of Science and Technology

DOI: 10.25283/2223-4594-2026-1-40-52

UDC: 504.4.054:639.2

The article was received on: 27.07.2025

Keywords: Barents sea, Arctic ecosystems, biological productivity, remote sensing, climate change, correlation., aquaculture activities, trophic index

Bibliographic description: Skuratova, P.N., Khasanova, L.N., Musina, S.A. Comprehensive assessment of the Barents Sea water quality based on trophic indices in aquaculture farm locations using remote sensing methods. Arktika: ekologiya i ekonomika. [Arctic: Ecology and Economy], 2026, vol. 16, no. 1, pp. 40-52. DOI: 10.25283/2223-4594-2026-1-40-52. (In Russian).


Abstract:

The study substantiates the possibility of using open data on hydrochemical indicators from satellite systems. It establishes a seasonal peak of eutrophication in the Barents Sea and reveals a strong correlation between the trophic level and the concentration of chlorophyll a, total phosphorus, and mineral forms of nitrogen. The limited applicability of the trophic level index (TLI) to Arctic waters and a high degree of consistency between the trophic state index (TSI) and the trophic index (E-TRIX) have been demonstrated, providing a scientific basis for their integrated use in the context of the sustainable cage aquaculture development. These findings have significant practical implications for the development of monitoring systems and environmental conservation measures in the Arctic region.


References:

1. Tuygun G. T., Salgut S., Elçi A. Long-term spatial-temporal monitoring of eutrophication in Lake Burdur using remote sensing data. Water Sci Technol, 2023, no. 87 (9), pp. 2184—2194. DOI: 10.2166/wst.2023.113.

2. Skuratova P. N., Khasanova L. N., Musina S. A. Analysis of the trophic state of the waters of the Ural Bay, Lodeynaya Bay, Kola Bay and the Kilda Strait of the Murmansk Region using the E-TRIX index. Fisheries, 2024, no. 1, pp. 26—34. DOI: 10.36038/0131-6184-2024-2-26-34. (In Russian).

3. Zhang L., Cheng Y., Niu Y., Jiang J. Analysis and prediction of eutrophication for advanced warning of the water quality concerns in Gaoyou Lake. Water Supply, 2020, no. 20 (1), pp. 186—196. DOI: 10.2166/ws.2019.148.

4. Zhou B., Zhang Y., Shi K. Research progress on remote sensing assessment of lake nutrient status and retrieval algorithms of characteristic parameters. J. of Remote Sensing, 2022, no. 26 (1), pp. 77—91. DOI: 10.11834/jrs.20221232.

5.  Novikov A. V. The economy of the coastal Arctic zones: analysis of the state and development trends. Arctic: Ecology and Economy, 2022, vol. 12, no. 2, ðð. 200—210. DOI: 10.25283/2223- 4594-2022-2-200-210. (In Russian).

6. Vasil’tsov V. S., Yashalova N. N., Novikov A. V. Climate and environmental risks in the development of Arctic coastal territories. Arctic: Ecology and Economy, 2021, vol. 11, no. 3, pp. 341—352. DOI: 10.25283/2223-4594-2021-3-341-352. (In Russian).

7. Makosko A. A., Matesheva A. V., Emelina S. V. On the trends of ecological and climatic risks to human health in the Arctic zone of Russia in a changing climate. Arctic: Ecology and Economy, 2023, vol. 13, no. 4, pp. 579—589. DOI: 10.25283/2223-4594-2023-4-579-589. (In Russian).

8. The encyclopedic dictionary of Brochhaus and Efron. Vol. 86. St. Petersburg, 1907. (In Russian).

9. A software package for assessing the ecological state of a water body based on complex trophic indices: no. 2023689019 Russian Federation / Musina S. A., Skuratova P. N., Khasanova L. N.; published on 12/21/2023; published on 01/24/2024. 1 p. (In Russian).

10. Toledo Jr., Talartico M., Chinez J., Agudo G. The application of simplified models for the evaluation of the eutrophication process in tropical Lakes and reservoirs. Congresso Brasileiro de Engenharia Sanitária E Ambiental, 1983, p. 34.

11. Adamovich B. V., Zhukova T. V., Mikheeva T. M., Kovalevskaya R. Z., Lukyanova E. V. Long-term changes in the index of the trophic state of the Naroch lakes and its relation to the main hydroecological parameters. Water Resources, 2016, vol. 43, no. 5, pp. 535—543. DOI: 10.7868/S0321059616050023. (In Russian).

12. Carlson R. E. A trophic state index for lakes. Limnol. Oceanog., 1977, vol. 11, pp. 361—369.

13. Uzun A. Ecogeomorphological Investigation of Anthropogenic Changes in the Kızılırmak River Mouth, Türkiye. Wetlands, 2024, vol. 44, no. 7, p. 83.

14. Slepchuk K. A., Khmara T. V., Mankovskaya E. V. Comparative assessment of the trophic level of Sevastopol and Yuzhnaya bays using the E-TRIX index. Marine Hydrophysical J., 2017, no. 5, pp. 67—77. (In Russian).

15. Zhirkov I. A. Polychaetes of the Arctic Ocean. Moscow, Yanus-K., 2001, 632 p. (In Russian).

16. The Bridge Between Data and Science. Available at: https://giovanni.gsfc.nasa.gov/giovanni/#service=TmAvMp&starttime=&endtime=&variableFacets =dataFieldDiscipline%3AHydrology%3B.

17. Sarycheva A. V., Kolesnikov D. V. Underwater wireless networks. Scientific studies and modern education. [S. l.], 2018, pp. 242—244. (In Russian).

18. Makarov M. V., Voskoboinikov G. M. The effect of lighting and temperature on macroalgae. Issues of modern algology, 1996, no. 212. (In Russian).


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DOI 10.25283/2223-4594