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що надає послуги з передплати наукових періодичних видань і книг з наукової тематики Національної академії наук України.
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Shyshchenko P. G., Havrylenko O. P., Tsyhanok Ye. Yu., Barbara, V. O. Geoinformation Monitoring of Eutrophication and Turbidity of Surface Water Bodies in Urban Areas (Case study in Kyiv)
Ukr. geogr. z. 2026, (2):13–25
Date of submission:
16.03.2026
Date of acceptance:
26.06.2026
Date of approval for printing:
23.07.2026
Language of publication:
Ukrainian
Full text:
Authors:
Shyshchenko, P. G.1 
Havrylenko, O. P.2
Tsyhanok Ye. Yu.2
Barbara, V. O.2
1 National Academy of Educational Sciences of Ukraine, Kyiv
2 Taras Shevchenko National University of Kyiv, Kyiv
The article is published under open access conditions under the CC BY-NC-ND license. https://creativecommons.org/licenses/by-nc-nd/4.0/ Abstract:
The aim of this study is to develop an algorithm for geoinformation monitoring of the condition of surface water bodies in urban areas, using Kyiv as a case study, and to identify patterns in their spatial distribution and the dynamics of eutrophication levels and turbidity based on high-resolution satellite data. The study was conducted using the Normalized Difference Chlorophyll Index (NDCI) and the Normalized Difference Turbidity Index (NDTI). The study employed cartographic analysis, digital processing of geospatial data, remote sensing, as well as cluster and multivariate analysis to produce electronic maps within the QGIS environment (Version 3.44.7). Based on the degree of water saturation within Kyiv, three zones were identified: insufficient, moderate, and sufficient water saturation. Eutrophication was assessed using NDCI values derived from satellite imagery. High positive NDCI values (up to 0.8) were detected in shallow bays of the Dnipro River, oxbow lakes, channels, selected slow-flowing lakes, and ponds, indicating degradation processes in these water bodies. Using summer satellite imagery from 2020–2024, the NDTI was calculated for Kyiv’s reservoirs. The index was computed in QGIS using the Raster Calculator tool. The NDTI enables not only the assessment of water turbidity but also the analysis of its spatial distribution across water bodies, which is important for identifying potential sources of suspended solids. The obtained NDTI values ranged from −0.767 to 0.46 and were conditionally classified into three groups: −0.767 to 0 (relatively clear water, low turbidity), 0.001 to 0.3 (moderate turbidity), and 0.301 to 0.46 (high turbidity). The scientific novelty of the study lies in the development of a geoinformation-based monitoring algorithm for urban surface water bodies using high-resolution satellite data, enabling an integrated assessment of their environmental condition based on NDCI and NDTI indicators.
Key words:
urban surface water bodies, urban environment, Normalized Difference Chlorophyll Index, Normalized Difference Turbidity Index, geoinformation monitoring of urban water bodies
Pages:
013-025
References:
1. Flörke, M., Schneider, C., & McDonald, R. I. (2018). Water competition between cities and agriculture driven by climate change and urban growth. Nature Sustainability, 1, 51–58. DOI: https://doi.org/10.1038/s41893-017-0006-8.
2. Zhou, D., Zhao, S., Zhang, L., Sun, G., & Liu, Y. (2015). The footprint of urban heat island effect in China. Scientific Reports, 5(1), 1–11. DOI: https://doi.org/10.1038/srep11160.
3. Moyle, P. B. (2013). Novel aquatic ecosystems: the new reality for streams in California and others Mediterranean climate regions. River Research and Applications, 30(10), 1335–1344. DOI: https://doi.org/10.1002/rra.2709.
4. Hassall, C. (2014). The ecology and biodiversity of urban ponds. Wiley Interdisciplinary Reviews: Water, 1(2), 187–206. https://doi.org/10.1002/wat2.1014.
5. Kowarik, I. (2011). Novel urban ecosystems, biodiversity, and conservation. Environmental Pollution, 159(8–9), 1974–1983. DOI: https://doi.org/10.1016/j.envpol.2011.02.022.
6. Havrylenko, O. P., Shyshchenko, P. H., & Tsyhanok, Ye. Yu. (2020). Landscape functional zoning of urban protected areas. Journal of Environmental Research, Engineering and Management, 76(3), 121–136. DOI: https://doi.org/10.5755/j01.erem.76.3.24258.
7. Briers, R. A. (2013). Invertebrate communities and environmental conditions in a series of urban drainage ponds in Eastern Scotland: implications for biodiversity and conservation value of SUDS. Clean – Soil, Air, Water, 42, 193–200. DOI: https://doi.org/10.1002/clen.201300162.
8. Chester, E. T. & Robson, B. J. (2013). Anthropogenic refuges for freshwater biodiversity: Their ecological characteristics and management. Biological Conservation, 166, 64–75. DOI: https://doi.org/10.1016/j.biocon.2013.06.016.
9. Shyshchenko, P. H., Havrylenko, O. P., & Tsyhanok, Ye. Yu. (2019). Ecosystem value of Holosiyivskyi Forest as an urban protected area: Causes and consequences of degradation. Ukrainian Geographical Journal, 4, 40–49. [Іn Ukrainian]. [Шищенко П. Г., Гавриленко О. П., Циганок Є. Ю. (2019). Екосистемна цінність Голосіївського лісу як міської природоохоронної території: причини і наслідки деградації. Український географічний журнал, 4, 40–49.]. DOI: https://doi.org/10.15407/ugz2019.04.040.
10. Shyshchenko, P. H., Havrylenko, O. P., Tsyhanok, Ye. Yu., & Bilous, L. F. (2025). Degradation of Ecosystem Services in the Impact Zone of Municipal Solid Waste Landfills: Case Study in Kyiv Region. Ukrainian Geographical Journal, 2(130), 12–25. [in Ukrainian]. [Щищенко, П. Г., Гавриленко, О. П., Циганок, Є. Ю., Білоус, Л. Ф. (2025). Втрати екосистемних послуг у зоні впливу полігонів твердих побутових відходів: приклад Київської області. Український географічний журнал, 2(130), 12–25.] DOI: https://doi.org/10.15407/ugz2025.02.012.
11. Voelker, S. & Kistemann, T. (2013). Reprint of: “I’m always entirely happy when I’m here!” Urban blue enhancing human health and well-being in Cologne and Dusseldorf, Germany. Social Science & Medicine, 91, 141–152. DOI: https://doi.org/10.1016/j.socscimed.2013.04.016.
12. White, M., Smith, A., Humphryes, K., Pahl, S., Snelling, D. & Depledge, M. (2010). Blue space: The importance of water for preference, affect, and restorativeness ratings of natural and built scenes. Journal of Environmental Psychology, 30(4), 482–493. DOI: https://doi.org/10.1016/j.jenvp.2010.04.004.
13. Havrylenko, O., Tsyhanok, Ye., Shyshchenko, P., Samoilenko, V., & Bilous, L. (2022). Geoecological Monitoring of Urban Wetlands for the Purpose of their Protection (by the Case of Sovski Ponds in Kyiv). У 16th International Conference “Monitoring of Geological Processes and Ecological Condition of the Environment,” 1–5. DOI: https://doi.org/10.3997/2214-4609.2022580011.
14. Havrylenko, O., Shyshchenko, P., Samoilenko, V., Bilous, L., & Yesypchuk, D. (2021). Greening and development monitoring to create a comfortable urban environment. In: 15th International Conference “Monitoring of Geological Processes and Ecological Condition of the Environment,” 1–5. DOI: https://doi.org/10.3997/2214-4609.20215K2009.
15. Shyshchenko, P. G., Havrylenko, O. P., Tsyhanok, Ye. Yu., & Bilous, L. F. (2024). Housing Prices as Payment for Ecosystem Services of Urban Green Spaces: case study in Kyiv. Ukrainian Geographical Journal, 2, 33–42. [In Ukrainian]. [Шищенко, П. Г., Гавриленко, О. П., Циганок, Є. Ю., & Білоус, Л. Ф. (2024). Вартість житла як плата за екосистемні послуги міських зелених зон (на прикладі Києва). Український географічний журнал, 2, 33‒42]. DOI: https://doi.org/10.15407/ugz2024.02.033.
16. Havrylenko, O., Tsyhanok, Ye, Shyshchenko, P., Samoilenko, V., Bilous, L., & Slipchuk, A. (2023). Assessment of cultural ecosystem services of protected areas for the purpose of their monitoring. In: 17th International Conference “Monitoring of Geological Processes and Ecological Condition of the Environment.” DOI: https://doi.org/10.3997/2214-4609.2023520023.
17. Moggridge, H. L., Hill, M. J. & Wood, P. J. (2014). Urban Aquatic Ecosystems: the good, the bad and the ugly. Fundamental and Applied Limnology, 185(1), 1–6.
18. Teurlincx, S., Kuiper, J. J., Hoevenaar, E. CM., & Lurling, M., et al. (2019). Towards restoring urban waters: understanding the main pressures. Current Opinion in Environmental Sustainability, 36, 49–58. DOI: https://doi.org/10.1016/j.cosust.2018.10.011.
19. Khalili, R., & Moridi, A. (2025). A Comprehensive Review of Eutrophication in Water Resources: From Identifying Contributing Factors to Proposing Management Strategies. Interdisciplinary Journal of Civil Engineering, 1(1), 38‒52. DOI: https://doi.org/10.48308/ijce.2025.240047.1003.
20. Fedorovsky, O. D., Khyzhniak, A. V., & Tomchenko, O. V. (2021). Assessing aquatic environment quality of the urban water bodies by system analysis methods based on integrating remote sensing data. Space Science and Technology, 27(5), 11–18. DOI: https://doi.org/10.15407/knit2021.05.011.
21. Sheliuk, Y. S., Shevchuk, L. M., & Moshkivska, M. А. (2023). Assessment of water quality of urbanized territories according to the structure of hydrobiont groups. Ukrainian Journal of Natural Sciences, 3, 76–90. [in Ukrainian]. [Шелюк, Ю. С., Шевчук, Л. М., & Мошківська, М. А. (2023). Оцінка якості вод урбанізованих територій за структурою угруповань гідробіонтів. Український журнал природничих наук, 3, 76–90.]. DOI: https://doi.org/10.35433/naturaljournal.3.2023.76-90.
22. Kobylynska, Т. V., Motuzka, O. M., & Kobylynskyi, V. M. (2023). Statistical Assessment of Sustainable Urban Water Ecosystems. Statistics of Ukraine, 100(1), 51–60. DOI: https://doi.org/10.31767/su.1(100)2023.01.05.
23. Vyshnevsky, V. I. (2021). Water Bodies of Kyiv [Водойми Києва]. Nika-Center. [in Ukrainian]. [Вишневський, В. І. (2021). Водойми Києва : монографія. Ніка-Центр.]
24. Vyshnevsky, V. I., Shevchuk, S. A., & Shevchenko, I. A. (2016). Use of remote sensing data to determine the ecological status of water bodies in Kyiv. Contemporary Problems of Architecture and Urban Planning, 46, 227–231. [in Ukrainian].[Вишневський, В. І., Шевчук, С. А., & Шевченко, І. А. (2016). Використання даних дистанційного зондування Землі для з’ясування екологічного стану водних об’єктів Києва. Сучасні проблеми архітектури та містобудування, 46, 227–231.]
25. Trofymchuk, O. M., Trysnyuk, V. M., Anpilova, E. S., Butenko, O. S., & Vishnyakov, V. Yu., et al. (2022). Geoinformation studies of aquatic ecosystems in Ukraine: monitoring and forecasting. [in Ukrainian]. [Трофимчук, О. М., Триснюк, В. М., Анпілова, Є. С., Бутенко, О. С., & Вишняков, В. Ю. та ін. (2022). Геоінформаційні дослідження водних екосистем України: моніторинг та прогнозування.]
26. Afanasyeva, O. A., Bagatska, T. S., & Oliynytska, L. G., et al. (2010). Environmental status of Kyiv reservoirs: monograph. Phytosociocenter. [in Ukrainian]. [Афанасьєва, О. А., Багацька, Т. С., & Оляницька, Л. Г. та ін. (2010). Екологічний стан київських водойм: монографія. Фітосоціоцентр.]
27. Panasyuk, I. V., Tomiltseva, A. I., Zub, L. M., & Pogorelova, Yu. V. (2015). Water quality in urban reservoirs and the nature of water protection zone development (on the example of the Opechen’ system lakes, Kyiv). Environmental Safety and Nature Management, 4(20), 63–69. [in Ukrainian]. [Панасюк, І. В., Томільцева, А. І., Зуб, Л. М., & Погорєлова, Ю. В. (2015). Якість води у міських водоймах та характер освоєння водоохоронних зон (на прикладі озер системи «Опечень», м. Київ). Екологічна безпека та природокористування, 4(20), 63–69.]
28. Wang, X., & Cheng, Y. (2024). Urban Lake Health Assessment Based on the Synergistic Perspective of Water Environment and Social Service Functions. Global Challenges, 8, 2400144. DOI: https://doi.org/10.1002/gch2.202400144.
29. Tampo, L., Lazar, I. M., Kaboré, I., Oueda, A., Akpataku, K. V., & Djaneye-Boundjou, G., et al. (2020). A Multimetric index for assessment of aquatic ecosystem health based on macroinvertebrates for the Zio river basin in Togo. Limnologica, 83, 125783. DOI: https://doi.org/10.1016/j.limno.2020.125783.
30. Han, H., Li, H., & Zhang, K. (2019). Urban Water Ecosystem Health Evaluation Based on the Improved Fuzzy Matter-Element Extension Assessment Model: Case Study from Zhengzhou City, China. Mathematical Problems in Engineering, 7502342. DOI: https://doi.org/10.1155/2019/7502342.
31. Aboelnga, H. T., Ribbe, L., Frechen, F.-B., & Saghir, J. (2019). Urban Water Security: Definition and Assessment Framework. Resources, 8(4), 178. DOI: https://doi.org/10.3390/resources8040178.
32. Wheater, H. S., & Gober, P. (2015). Water security and the science agenda. Water Resources Research, 51, 5406–5424. DOI: https://doi.org/10.1002/2015WR016892.
33. Hartley, K., Tortajada, C., & Biswas, A. K. (2017). Confronting global security in an era of water instabilities. Foreign Policy Journal. URL: https://www.foreignpolicyjournal.com/2017/02/03/confronting-global-security-in-an-era-of-water-instabilities/
34. OneAquaHealth—Protecting urban aquatic ecosystems to promote One Health. ECS (2023). URL: https://citizenscience.eu/project/518
35. Waajen, G. W. A. M., Faassen, E. J. & Lürling, M. (2014). Eutrophic urban ponds suffer from cyanobacterial blooms: Dutch examples. Environmental Science and Pollution Research, 21, 9983–9994. DOI: https://doi.org/10.1007/s11356- 014-2948-y.
36. Müller, A. Österlund, H., Marsalek, J. C., & Viklander, M. (2020). The pollution conveyed by urban runoff: A review of sources. Science of The Total Environment, 709, 136125. DOI: https://doi.org/10.1016/j.scitotenv.2019.136125.
37. Chaichana, R., Leah, R., & Moss, B. (2011). Conservation of pond systems: A case study of intractability, Brown Moss, UK. Hydrobiologia, 664(1), 17–33. DOI: https://doi.org/ 10.1007/s107.
38. Zamparas, M., & Zacharias, I. (2014). Restoration of eutrophic freshwater by managing internal nutrient loads. A review. Science of The Total Environment, 496, 551–562. DOI: https://doi.org/10.1016/j.scitotenv.2014.07.076.
39. Condie, S. A., & Webster, I. T. (2001). Estimating stratification in shallow water bodies from mean meteorological conditions. Journal of Hydraulic Engineering, 127(4), 286–292. DOI: https://doi.org/10.1061/(ASCE)0733-9429(2001)127:4(286)
40. Diem, J. E. & Orimolade, O. I. (2024). Intra-annual variability of urban effects on streamwater quality: An examination of watersheds in the Atlanta, Georgia USA region. Journal of Hydrology, 641, 131762. DOI: https://doi.org/10.1016/j.jhydrol.2024.131762.
41. Sahoo, D. & Anandhi, A. (2023). Conceptualizing turbidity for aquatic ecosystems in the context of sustainable development goals. Environmental Science: Advances, 2, 1220-1234. DOI: https://doi.org/10.1039/D2VA00327A.
42. Normalized Difference Chlorophyll Index. Sentinel Hub custom scripts. DOI: https://custom-scripts.sentinel-hub.com/custom-scripts/sentinel-2/ndci/
43. Lizcano-Sandoval, L., Anastasiou, C., Montes, E., Raulerson, G., Sherwood, E., & Muller-Karger, F. E. (2022). Seagrass distribution, areal cover, and changes (1990-2021) in coastal waters off West-Central Florida, USA. Estuarine, Coastal and Shelf Science, 279, 108134. DOI: https://doi.org/10.1016/j.ecss.2022.108134.
44. Normalized Difference Chlorophyll Index (NDCI). Climate Engine Support (2023). URL: https://support.climateengine.org/article/127-normalized-difference-chlorophyll-index
45. River Turbidity Estimation using Sentinel-2 data. Esri Developer. URL: https://developers.arcgis.com/python/latest/samples/river-turbidity-estimation-using-sentinel2-data-/
46. Xiao, J., Chen, X., Zhou, L., & Zhang, H., et al. (2025). Nutrient Distribution Characteristics and Eutrophication Evaluation of Coastal Water near the Yellow River Estuary, China. Water, 17(16), 2469. DOI: https://doi.org/10.3390/w17162469.
47. Lizcano-Sandoval, L., Anastasiou, C., Montes, E., & Raulerson, G., et al. (2022). Seagrass distribution, areal cover, and changes (1990–2021) in coastal waters off West-Central Florida, USA. Estuarine, Coastal and Shelf Science, 279, 108134. DOI: https://doi.org/10.1016/j.ecss.2022.108134.
DOI:
https://doi.org/10.15407/ugz2026.02.013