Year 2025,
Volume: 7 Issue: 1, 125 - 142, 30.06.2025
Sunaina Alok
,
Pratibha Naithani
,
Kishan Singh Rawat
,
Sudhir Kumar Singh
References
-
Aizaki, M., Otsuki, A., Fukushima, T., Hosomi, M., & Muraoka, K. (1981). Application of Carlson’s trophic state index to Japanese lakes and relationships between the index and other parameters. Internationale Vereinigung für theoretische und angewandte Limnologie: Verhandlungen, 21(1), 675–681. https://doi.org/10.1080/03680770.1980.11897067
-
Amin, A., Fazal, S., Mujtaba, A., & Singh, S. K. (2014). Effects of land transformation on water quality of Dal Lake, Srinagar, India. Journal of the Indian Society of Remote Sensing, 42, 119-128. https://doi.org/10.1007/s12524-013-0297-9
-
Ansari, A. A., Gill, S. S., Lanza, G. R., & Rast, W. (2010). Eutrophication: Causes, consequences and control. Springer. https://doi.org/10.1007/978-90-481-9625-8
-
Ansper, A., & Alikas, K. (2019). Retrieval of chlorophyll from Sentinel-2 MSI data for the European Union Water Framework Directive reporting purposes. Remote Sensing, 11(1), 64. https://doi.org/10.3390/rs11010064
-
APHA. (1989). American Public Health Association (APHA). Standard methods for the examination of water and wastewater (17th ed.). American Public Health Association.
-
Backer, R., Rokem, J. S., Ilangumaran, G., Lamont, J., Praslickova, D., Ricci, E., & Smith, D. L. (2018). Plant growth-promoting rhizobacteria: Context, mechanisms of action, and roadmap to commercialization of biostimulants for sustainable agriculture. Frontiers in Plant Science, 9, 1473. https://doi.org/10.3389/fpls.2018.01473
-
Behera, A., & Rawat, K. S. (2024a). Groundwater quality using geographic information systems (GIS): A review. AIP Conference Proceedings, 3072(1). https://doi.org/10.1063/5.0198690
-
Brockmann, C., Doerffer, R., Peters, M., Kerstin, S., Embacher, S., & Ruescas, A. (2016). Evolution of the C2RCC neural network for Sentinel 2 and 3 for the retrieval of ocean colour products in normal and extreme optically complex waters. Proceedings Book of Living Planet Symposium. Prague, Czech Republic.
-
Carlson, R. E. (1977). A trophic state index for lakes. Limnology and Oceanography, 22(2), 361–369. https://doi.org/10.4319/lo.1977.22.2.0361
-
Choudhary, P., Routh, J., & Chakrapani, G. J. (2009). An environmental record of changes in sedimentary organic matter from Lake Sattal in Kumaun Himalayas, India. Science of the Total Environment, 407(8), 2783–2795. https://doi.org/10.1016/j.scitotenv.2008.12.020
-
Geraldes, A. M., & Boavida, M. J. (2007). Zooplankton assemblages in two reservoirs: One subjected to accentuated water level fluctuations, the other with more stable water levels. Aquatic Ecology, 41, 273–284. https://doi.org/10.1007/s10452-006-9057-z
-
Gholizadeh, M. H., Melesse, A. M., & Reddi, L. (2016). A comprehensive review on water quality parameters estimation using remote sensing techniques. Sensors, 16(8), 1298. https://doi.org/10.3390/s16081298
-
Guan, Q., Feng, L., Hou, X., Schurgers, G., Zheng, Y., & Tang, J. (2020). Eutrophication changes in fifty large lakes on the Yangtze Plain of China derived from MERIS and OLCI observations. Remote Sensing of Environment, 246, 111890. https://doi.org/10.1016/j.rse.2020.111890
-
Hair, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: Updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107–123. https://doi.org/10.1504/IJMDA.2017.087624
-
Halstvedt, C. B., Rohrlack, T., Andersen, T., Skulberg, O., & Edvardsen, B. (2007). Seasonal dynamics and depth distribution of Planktothrix sp. in Lake Steinfjorden (Norway) related to environmental factors. Journal of Plankton Research, 29(5), 471–482. https://doi.org/10.1093/plankt/fbm036
-
Jin, X., & Qingying, T. (1990). The standard methods for observation and analysis in lake eutrophication. Chinese Environment Science Press.
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Johansen, R., Needham, J. R., Colquhoun, D. J., Poppe, T. T., & Smith, A. J. (2006). Guidelines for health and welfare monitoring of fish used in research. Laboratory Animals, 40(4), 323–340. https://doi.org/10.1258/002367706778476441
-
Kangur, K., Möls, T., Milius, A., & Laugaste, R. (2003). Phytoplankton response to changed nutrient level in Lake Peipsi (Estonia) in 1992–2001. Hydrobiologia, 506, 265–272.
https://doi.org/10.1023/B:HYDR.0000008574.40590.8f
-
Kumar, S., Vellanki, B. P., Rahman, S. P., Kazmi, A. A., & Ghosh, N. C. (2018). Runoff characterization and pollutant load estimation of Nainital lake, India. Environmental nanotechnology, monitoring & management, 10, 394-398. https://doi.org/10.1016/j.enmm.2018.09.005
-
Kutser, T., Paavel, B., Verpoorter, C., Ligi, M., Soomets, T., Toming, K., & Casal, G. (2016). Remote sensing of black lakes and using 810 nm reflectance peak for retrieving water quality parameters of optically complex waters. Remote Sensing, 8(6), 497. https://doi.org/10.3390/rs8060497
-
Liang, L., Zhang, Y., Ronghua, M., Duan, H., Loiselle, S., Xue, K., & Q., Q. (2016). Satellite-based estimation of column-integrated algal biomass in nonalgae bloom conditions: A case study of Lake Chaohu, China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(2), 450–462. https://doi.org/10.1109/JSTARS.2016.2601083
-
Lorenzen, C. J. (1967). Determination of chlorophyll and pheo-pigments: Spectrophotometric equations. Limnology and Oceanography, 12, 343–346. https://doi.org/10.4319/lo.1967.12.2.0343
-
Markogianni, V., Kalivas, D., P., Petropoulos, G. P., & Dimitriou, E. (2020). Estimating chlorophyll-a of inland water bodies in Greece based on Landsat data. Remote Sensing, 12(13), 2087. https://doi.org/10.3390/rs12132087
-
Matthews, M. W. (2011). A current review of empirical procedures of remote sensing in inland and near-coastal transitional waters. International Journal of Remote Sensing, 32, 6855–6899. https://doi.org/10.1080/01431161.2010.512947
-
Peppa, M., Vasilakos, C., & Kavroudakis, D. (2020). Eutrophication monitoring for Lake Pamvotis, Greece, using Sentinel-2 data. ISPRS International Journal of Geo-Information, 9(3), 143. https://doi.org/10.3390/ijgi9030143
-
Pitois, S. G., Bouch, P., Creach, V., & Kooij, J. (2016). Comparison of zooplankton data collected by a continuous semi-automatic sampler (CALPS) and a traditional vertical ring net. Journal of Plankton Research, 38(4), 931–943. https://doi.org/10.1093/plankt/fbw044
-
Protasov, A., Tomchenko, O., Novoselova, T., Barinova, S., Singh, S. K., Gromova, Y., & Curtean-Bănăduc, A. (2022). Remote sensing and in-situ approach for investigation of pelagic communities in the reservoirs of the electrical power complex. Frontiers in Bioscience-Landmark, 27(7), 221. https://doi.org/10.31083/j.fbl2707221
-
Rafiq, M., Gull, M. S., Mishra, A. K., & Rawat, K. S. (2018). Hydrochemical characterization and groundwater quality assessment over Southern Kashmir using Geographic Information System (GIS). Journal of Geomatics, 12(2), 101–108.
-
Rawat, K. S., & Singh, S. K. (2018). Water quality indices and GIS-based evaluation of a decadal groundwater quality. Geology, Ecology, and Landscapes, 2(4). https://doi.org/10.1080/24749508.2018.1452462
-
Rawat, K. S., & Singh, S. K. (2024). Monitoring water spread and aquatic vegetation using earth observational data for Nani-High Altitude Lake (N-HAL) of Uttarakhand State, India. Journal of Engineering Research, 12, 64–74. https://doi.org/10.1016/j.jer.2023.10.014
-
Rawat, K. S., & Tripathi, V. K. (2015). Hydro-chemical survey and quantifying spatial variations of groundwater quality in Dwarka, Sub-city of Delhi, India. The Institution of Engineers (India): Series A, 96, 99–108. https://doi.org/10.1007/s40030-015-0116-0
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Rawat, K. S., Behera, A., Bahuguna, A., & Baweja, H. S. (2024). A case study of rainfall variability analysis using precipitation concentration index in Talcher region, Odisha, India. AIP Conference Proceedings, 3072(1). https://doi.org/10.1063/5.0198692
-
Rawat, K. S., Jeyakumar, L., Singh, S. K., & Tripathi, V. K. (2019). Appraisal of groundwater with special reference to nitrate using statistical index approach. Groundwater for Sustainable Development, 8, 49–58. https://doi.org/10.1016/j.gsd.2018.07.006
-
Rawat, K. S., Singh, S. K., Jacintha, T. G. A., Nemčić-Jurec, J., & Tripathi, V. K. (2017). Appraisal of long term groundwater quality of Peninsular India using water quality index and fractal dimension. Journal of Earth System Science, 126(8), 122:126. https://doi.org/10.1007/s12040-017-0895-y
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Determining the eutrophication status in Nainital lake of Uttarakhand, India using Sentinel-2 MSI imagery
Year 2025,
Volume: 7 Issue: 1, 125 - 142, 30.06.2025
Sunaina Alok
,
Pratibha Naithani
,
Kishan Singh Rawat
,
Sudhir Kumar Singh
Abstract
Eutrophication is a crucial factor for the degradation of freshwater ecosystems. It has been noticed that in India several lakes have been already facing this type of adverse effect of eutrophication. Naini Lake is a fresh natural water body located in the Kumaon region of the Nainital district of Uttarakhand, and it is one of the most tourist destinations of India. With period it has been noticed that there has been a rise of eutrophication level in this lake. In this research systematic monitoring has been done to monitor the trophic status of the lake. Trophic State Index (TSI) was used to identify eutrophication. A combination of different environmental parameters of the lake and Sentinel-2 Multispectral Instrument (MSI) was used to model TSI. The spectral bands which were incorporated for chlorophyll detection are b5/b4 and b3/b4. Seven years of MSI data before the rainy season and after the rainy season have been collected from Jan 2017 to Dec 2023 to analyze the Chl-a, enabling a detailed evaluation of eutrophication trends in Naini Lake. The find out of the research show that the identification of the Chl-a using MSI data is an efficient and reliable method for monitoring of eutrophication.
References
-
Aizaki, M., Otsuki, A., Fukushima, T., Hosomi, M., & Muraoka, K. (1981). Application of Carlson’s trophic state index to Japanese lakes and relationships between the index and other parameters. Internationale Vereinigung für theoretische und angewandte Limnologie: Verhandlungen, 21(1), 675–681. https://doi.org/10.1080/03680770.1980.11897067
-
Amin, A., Fazal, S., Mujtaba, A., & Singh, S. K. (2014). Effects of land transformation on water quality of Dal Lake, Srinagar, India. Journal of the Indian Society of Remote Sensing, 42, 119-128. https://doi.org/10.1007/s12524-013-0297-9
-
Ansari, A. A., Gill, S. S., Lanza, G. R., & Rast, W. (2010). Eutrophication: Causes, consequences and control. Springer. https://doi.org/10.1007/978-90-481-9625-8
-
Ansper, A., & Alikas, K. (2019). Retrieval of chlorophyll from Sentinel-2 MSI data for the European Union Water Framework Directive reporting purposes. Remote Sensing, 11(1), 64. https://doi.org/10.3390/rs11010064
-
APHA. (1989). American Public Health Association (APHA). Standard methods for the examination of water and wastewater (17th ed.). American Public Health Association.
-
Backer, R., Rokem, J. S., Ilangumaran, G., Lamont, J., Praslickova, D., Ricci, E., & Smith, D. L. (2018). Plant growth-promoting rhizobacteria: Context, mechanisms of action, and roadmap to commercialization of biostimulants for sustainable agriculture. Frontiers in Plant Science, 9, 1473. https://doi.org/10.3389/fpls.2018.01473
-
Behera, A., & Rawat, K. S. (2024a). Groundwater quality using geographic information systems (GIS): A review. AIP Conference Proceedings, 3072(1). https://doi.org/10.1063/5.0198690
-
Brockmann, C., Doerffer, R., Peters, M., Kerstin, S., Embacher, S., & Ruescas, A. (2016). Evolution of the C2RCC neural network for Sentinel 2 and 3 for the retrieval of ocean colour products in normal and extreme optically complex waters. Proceedings Book of Living Planet Symposium. Prague, Czech Republic.
-
Carlson, R. E. (1977). A trophic state index for lakes. Limnology and Oceanography, 22(2), 361–369. https://doi.org/10.4319/lo.1977.22.2.0361
-
Choudhary, P., Routh, J., & Chakrapani, G. J. (2009). An environmental record of changes in sedimentary organic matter from Lake Sattal in Kumaun Himalayas, India. Science of the Total Environment, 407(8), 2783–2795. https://doi.org/10.1016/j.scitotenv.2008.12.020
-
Geraldes, A. M., & Boavida, M. J. (2007). Zooplankton assemblages in two reservoirs: One subjected to accentuated water level fluctuations, the other with more stable water levels. Aquatic Ecology, 41, 273–284. https://doi.org/10.1007/s10452-006-9057-z
-
Gholizadeh, M. H., Melesse, A. M., & Reddi, L. (2016). A comprehensive review on water quality parameters estimation using remote sensing techniques. Sensors, 16(8), 1298. https://doi.org/10.3390/s16081298
-
Guan, Q., Feng, L., Hou, X., Schurgers, G., Zheng, Y., & Tang, J. (2020). Eutrophication changes in fifty large lakes on the Yangtze Plain of China derived from MERIS and OLCI observations. Remote Sensing of Environment, 246, 111890. https://doi.org/10.1016/j.rse.2020.111890
-
Hair, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: Updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107–123. https://doi.org/10.1504/IJMDA.2017.087624
-
Halstvedt, C. B., Rohrlack, T., Andersen, T., Skulberg, O., & Edvardsen, B. (2007). Seasonal dynamics and depth distribution of Planktothrix sp. in Lake Steinfjorden (Norway) related to environmental factors. Journal of Plankton Research, 29(5), 471–482. https://doi.org/10.1093/plankt/fbm036
-
Jin, X., & Qingying, T. (1990). The standard methods for observation and analysis in lake eutrophication. Chinese Environment Science Press.
-
Johansen, R., Needham, J. R., Colquhoun, D. J., Poppe, T. T., & Smith, A. J. (2006). Guidelines for health and welfare monitoring of fish used in research. Laboratory Animals, 40(4), 323–340. https://doi.org/10.1258/002367706778476441
-
Kangur, K., Möls, T., Milius, A., & Laugaste, R. (2003). Phytoplankton response to changed nutrient level in Lake Peipsi (Estonia) in 1992–2001. Hydrobiologia, 506, 265–272.
https://doi.org/10.1023/B:HYDR.0000008574.40590.8f
-
Kumar, S., Vellanki, B. P., Rahman, S. P., Kazmi, A. A., & Ghosh, N. C. (2018). Runoff characterization and pollutant load estimation of Nainital lake, India. Environmental nanotechnology, monitoring & management, 10, 394-398. https://doi.org/10.1016/j.enmm.2018.09.005
-
Kutser, T., Paavel, B., Verpoorter, C., Ligi, M., Soomets, T., Toming, K., & Casal, G. (2016). Remote sensing of black lakes and using 810 nm reflectance peak for retrieving water quality parameters of optically complex waters. Remote Sensing, 8(6), 497. https://doi.org/10.3390/rs8060497
-
Liang, L., Zhang, Y., Ronghua, M., Duan, H., Loiselle, S., Xue, K., & Q., Q. (2016). Satellite-based estimation of column-integrated algal biomass in nonalgae bloom conditions: A case study of Lake Chaohu, China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(2), 450–462. https://doi.org/10.1109/JSTARS.2016.2601083
-
Lorenzen, C. J. (1967). Determination of chlorophyll and pheo-pigments: Spectrophotometric equations. Limnology and Oceanography, 12, 343–346. https://doi.org/10.4319/lo.1967.12.2.0343
-
Markogianni, V., Kalivas, D., P., Petropoulos, G. P., & Dimitriou, E. (2020). Estimating chlorophyll-a of inland water bodies in Greece based on Landsat data. Remote Sensing, 12(13), 2087. https://doi.org/10.3390/rs12132087
-
Matthews, M. W. (2011). A current review of empirical procedures of remote sensing in inland and near-coastal transitional waters. International Journal of Remote Sensing, 32, 6855–6899. https://doi.org/10.1080/01431161.2010.512947
-
Peppa, M., Vasilakos, C., & Kavroudakis, D. (2020). Eutrophication monitoring for Lake Pamvotis, Greece, using Sentinel-2 data. ISPRS International Journal of Geo-Information, 9(3), 143. https://doi.org/10.3390/ijgi9030143
-
Pitois, S. G., Bouch, P., Creach, V., & Kooij, J. (2016). Comparison of zooplankton data collected by a continuous semi-automatic sampler (CALPS) and a traditional vertical ring net. Journal of Plankton Research, 38(4), 931–943. https://doi.org/10.1093/plankt/fbw044
-
Protasov, A., Tomchenko, O., Novoselova, T., Barinova, S., Singh, S. K., Gromova, Y., & Curtean-Bănăduc, A. (2022). Remote sensing and in-situ approach for investigation of pelagic communities in the reservoirs of the electrical power complex. Frontiers in Bioscience-Landmark, 27(7), 221. https://doi.org/10.31083/j.fbl2707221
-
Rafiq, M., Gull, M. S., Mishra, A. K., & Rawat, K. S. (2018). Hydrochemical characterization and groundwater quality assessment over Southern Kashmir using Geographic Information System (GIS). Journal of Geomatics, 12(2), 101–108.
-
Rawat, K. S., & Singh, S. K. (2018). Water quality indices and GIS-based evaluation of a decadal groundwater quality. Geology, Ecology, and Landscapes, 2(4). https://doi.org/10.1080/24749508.2018.1452462
-
Rawat, K. S., & Singh, S. K. (2024). Monitoring water spread and aquatic vegetation using earth observational data for Nani-High Altitude Lake (N-HAL) of Uttarakhand State, India. Journal of Engineering Research, 12, 64–74. https://doi.org/10.1016/j.jer.2023.10.014
-
Rawat, K. S., & Tripathi, V. K. (2015). Hydro-chemical survey and quantifying spatial variations of groundwater quality in Dwarka, Sub-city of Delhi, India. The Institution of Engineers (India): Series A, 96, 99–108. https://doi.org/10.1007/s40030-015-0116-0
-
Rawat, K. S., Behera, A., Bahuguna, A., & Baweja, H. S. (2024). A case study of rainfall variability analysis using precipitation concentration index in Talcher region, Odisha, India. AIP Conference Proceedings, 3072(1). https://doi.org/10.1063/5.0198692
-
Rawat, K. S., Jeyakumar, L., Singh, S. K., & Tripathi, V. K. (2019). Appraisal of groundwater with special reference to nitrate using statistical index approach. Groundwater for Sustainable Development, 8, 49–58. https://doi.org/10.1016/j.gsd.2018.07.006
-
Rawat, K. S., Singh, S. K., Jacintha, T. G. A., Nemčić-Jurec, J., & Tripathi, V. K. (2017). Appraisal of long term groundwater quality of Peninsular India using water quality index and fractal dimension. Journal of Earth System Science, 126(8), 122:126. https://doi.org/10.1007/s12040-017-0895-y
-
Reynolds, C. S., Oliver, R. L., & Walsby, A. E. (1987). Cyanobacterial dominance: The role of buoyancy regulation in dynamic lake environments. New Zealand Journal of Marine and Freshwater Research, 21(3), 379–390. https://doi.org/10.1080/00288330.1987.9516234
-
Ross, M. R. V., Topp, S. N., Appling, A. P., Yang, X., Kuhn, C., Butman, D., Simard, M., & Pavlsky, T. M. (2019). AquaSat: A data set to enable remote sensing of water quality for inland waters. Water Resources Research, 55(11), 10012–10025. https://doi.org/10.1029/2019WR024883
-
Shanmugam, P. (2012). CAAS: An atmospheric correction algorithm for the remote sensing of complex waters. Annales Geophysicae, 30, 203–220. https://doi.org/10.5194/angeo-30-203-2012
-
Sharma, P. C. (1980). Population, biomass and energetics of zooplankter(s) of Kumaon lakes [Doctoral thesis, Kumaun University].
-
Shi, K., Zhang, Y., Zhang, Y., Li, N., Qin, B., Zhu, G., & Zhou, Y. (2019). Phenology of phytoplankton blooms in a trophic lake observed from long-term MODIS data. Environmental science & technology, 53(5), 2324-2331. https://doi.org/10.1021/acs.est.8b06887
-
Shrivastava, N. G. (2020). Assessment of lake water quality by using trophic state index indicators: A case study of Nainital, Kumaun Region, Uttarakhand, India. Asian Journal of Experimental Science, 35(1), 9–29.
-
Singh, R. L., & Singh, P. K. (2017). Global environmental problems. Principles and Applications of Environmental Biotechnology for a Sustainable Future. Springer. https://doi.org/10.1007/978-981-10-1866-4_2
-
Singh, S. K., Singh, P., & Gautam, S. K. (2016). Appraisal of urban lake water quality through numerical index, multivariate statistics and earth observation data sets. International journal of environmental science and technology, 13, 445-456. https://doi.org/10.1007/s13762-015-0850-x
-
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