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A New Statistical Perspective on Trophic Indexes for Shallow Lakes

  • HYDROCHEMISTRY, HYDROBIOLOGY: ENVIRONMENTAL ASPECTS
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Abstract

The aim of this study is to develop a new trophic level index using water quality parameters which are known to affect eutrophication but not in national and international standards used for trophic classification and to demonstrate the applicability of index. For this purpose, water quality variables obtained from shallow lakes were statistically analyzed by using principal component analysis (PCA) and multiple linear regression analysis (MLR). The variables used in the PCA and MLR analyzes (Mn, SiO2, TN) were added to the Carlson (1977) index step by step according to the TSI (Chl-a) empirical equation to develop a new index. Also TP and TN variables present in the indices were included in the model and the Chl-a expression ratio of all variables was defined as 88%. A new trophic level index was developed by taking into account the parameters affecting the eutrophication and the degree of effect. To reinterpret and evaluate some changes in existing indices allow trophic index evaluation results to be more reliable trophic status. This new index, which was developed for the stated purposes, is expected to provide a new perspective and contribute to the improvement studies and literature.

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REFERENCES

  1. Alikas, K. and Kratzer, S., Improved retrieval of Secchi depth for optically-complex waters using remote sensing data, Ecol. Indic., 2017, vol. 77, pp. 218–227.

    Article  Google Scholar 

  2. American Public Health Association, Standard Methods for the Examination of Water and Wastewater, American Public Health Association, 2017.

    Google Scholar 

  3. Busobozi, E., Eutrophication in Ugandan Crater Lakes. A Case Study of Six Crater Lakes Located in Kabarole District Western Uganda, Thesis submitted in partial fulfilment of the requirements for the Degree of Master of Water Resource Management by Emmanuel Busobozi W., 2017, p. 81.

  4. Carlson, R.E., A trophic state index for lakes, Limnol. Oceanogr., 1977, vol. 22, no. 2, pp. 361–369.

    Article  Google Scholar 

  5. Carlson, R.E. and Havens, K.E., Simple graphical methods for the interpretation of relationships between trophic state variables, Lake Reserv. Manag., 2005, vol. 21, no. 1, pp. 107–118.

    Article  Google Scholar 

  6. Cigagna, C., Bonotto, D.M., Camargo, A.F.M., and Sturaro, J.R., Trophic state index (TSI) and physico-chemical characteristics of a shallow reservoir in southeast Brazil, Environ. Earth Sci., 2006, vol. 75, no. 2, 102, pp. 1–11.

  7. Cudowski, A., Dissolved reactive manganese as a new index determining the trophic status of limnic waters, Ecol. Indic., 2015, vol. 48, pp. 721–727.

    Article  Google Scholar 

  8. Dunalska, J.A., Total organic carbon as a new index for monitoring trophic states in lakes, Oceanol. Hydrobiol. Stud., 2011, vol. 40, no. 2, pp. 112–115.

    Article  Google Scholar 

  9. Ejankowski, W. and Lenard, T., Trophic state of a shallow lake with reduced ınflow of surface water, Arch. Environ. Prot., 2014, vol. 40, no. 3, pp. 3–11. https://doi.org/10.2478/aep-2014-0025

    Article  Google Scholar 

  10. Górniak, A., Więcko, A., and Karpowicz, M., Changes in the trophic status of lakes in the Suwałki Landscape Park (NE Poland), Limnol. Rev., 2016, vol. 16, no. 4, pp. 221–227.

    Article  Google Scholar 

  11. Hailin, Z. and Baoyin, H., Evaluating lake eutrophication with enhanced thematic mapper data in Wuhan, Chin. J. Oceanol. Limnol., 2008, vol. 24, no. 3, pp. 285–290.

    Article  Google Scholar 

  12. Huo, S., Zan, F., Chen, Q., Xi, B., Su, J., Ji, D., and Xu, Q., Determining reference conditions for nutrients, chlorophyll a and Secchi depth in Yungui Plateau ecoregion lakes, China, Water Environ. J., 2012, vol. 26, no. 3, pp. 324–334.

    Article  Google Scholar 

  13. Karafistan, A. and Arik-Colakoglu, F., Physical, chemical and microbiological water quality of the Manyas Lake, Turkey, Mitigation and Adaptation Strategies for Global Change, 2005, vol. 10, no. 1, pp. 127–143.

    Article  Google Scholar 

  14. Kratzer, C.R., and Brezonik, P.L., A Carlson-type trophic state index for nitrogen in Florida lakes, JAWRA J. Am. Water Resour. Association, 1981, vol. 17, no. 4, pp. 713–715.

    Article  Google Scholar 

  15. Knoll, L.B., Hagenbuch, J.E., Stevens, H.M., Vanni, J.M., Renwick, H.W., Denlinger, J.C., and González, J.M., Predicting eutrophication status in reservoirs at large spatial scales using landscape and morphometric variables, Inland Waters, 2015, vol. 5, no. 3, pp. 203–214.

    Article  Google Scholar 

  16. Neverova-Dziopak, E. and Kowalewski, Z., New approach to trophic state assessement of running waters in Poland, Meteorol. Hydrol. Water Manag., 2017, vol. 1, no. 1, pp. 15–22.

    Article  Google Scholar 

  17. Nürnberg, G., Eutrophication and Trophic State, Most, 2001, pp. 29–33.

    Google Scholar 

  18. O’Boyle, S., McDermott, G., Noklegaard, T., and Wilkes, R., A simple index of trophic status in estuaries and coastal bays based on measurements of pH and dissolved oxygen, Estuaries Coasts, 2013, vol. 36, no. 1, pp. 158–173.

    Article  Google Scholar 

  19. OECD (Organization for Economic Cooperation and Development), Eutrophication of Waters, Monitoring Assessment and Control, Final Report, OECD Cooperative Programme on Monitoring of Inland Waters (Eutrophication Control), Environment Directorate, OECD, Paris, 1982.

  20. Jarosiewicz, A., Ficek, D., and Zapadka, T., Eutrophication parameters and Carlson-type trophic state indices in selected Pomeranian lakes, Limnol. Rev., 2011, vol. 11, no. 1, pp. 15–23.

    Article  Google Scholar 

  21. Jiang-Qi, Q., Qing-Jing, Z., Pan, L., Cheng-Xia, J., and Mu, Y., Assessment of water quality using multivariate statistical methods: A case study of an urban landscape water, Beijing, Int. J. Biosci., Biochem. Bioinf., 2013, vol. 3, no. 3, p. 196.

    Google Scholar 

  22. Saluja, R. and Garg, J.K., Trophic state assessment of Bhindawas Lake, Haryana, India, Environ. Monit. Assess., 2017, vol. 189, no. 1.

  23. Skwierawski, A., The use of the integrated trophic state index in evaluation of the restored shallow water bodies. The study was carried out on five restored shallow lakes from a group of 30 water, Ecol. Chem. Eng., 2013, vol. 20, no. 11, pp. 1275–1283.

    Google Scholar 

  24. Tarkowska-Kukuryk, M., Effect of phosphorous loadings on macrophytes structure and trophic state of dam reservoir on a small lowland river (Eastern Poland), Arch. Environ. Prot., 2013, vol. 39, no. 3, pp. 33–46.

    Article  Google Scholar 

  25. United States. Environmental Protection Agency. Offıce of Water. Volunteer stream monitoring a methods manual, DIANE Publishing, 1997.

  26. Wang, L., Wang, X., Jin, X., Xu, J., Zhang, H., Yu, J., and Wang, L., Analysis of algae growth mechanism and water bloom prediction under the effect of multi-affecting factor, Saudi J. Biol. Sci., 2017, vol. 24, no. 3, pp. 556–562.

    Article  Google Scholar 

  27. Wetzel, R.G., Limnology Lake and Reservoir Ecosystems, Academic Press, San Diego, 2001.

    Google Scholar 

  28. Xu, H., Paerl, H.W., Qin, B., Zhu, G., and Gaoa, G., Nitrogen and phosphorus inputs control phytoplankton growth in eutrophic Lake Taihu, China, Limnol. Oceanogr., 2010, vol. 55, no. 1, pp. 420–432.

    Article  Google Scholar 

  29. Xu, F.L., Wang, J.J., Chen, B., Qin, N., Wu, W.J., He, W., and Wang, Y., The variations of exergies and structural exergies along eutrophication gradients in Chinese and Italian lakes, Ecol. Modell., 2011, vol. 222, no. 2, pp. 337–350.

    Article  Google Scholar 

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ACKNOWLEDGMENTS

The authors gratefully acknowledge the financial support of the Research Fund of Sakarya University, Turkey. Grant nos. 2016-01.12-021 and 2016-50-01-011 and, General Directorate of State Water Affairs.

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  1. Sakarya University, Environmental Engineering Department, Esentepe Campus, 54187, Sakarya, Turkey

    Rabia Köklü & Ayşenur Alkış

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  1. Rabia Köklü
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  2. Ayşenur Alkış
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Correspondence to Rabia Köklü.

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Köklü, R., Alkış, A. A New Statistical Perspective on Trophic Indexes for Shallow Lakes. Water Resour 48, 324–330 (2021). https://doi.org/10.1134/S0097807821020123

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