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Trophic state and limiting nutrient evaluations using trophic state/level index methods: a case study of Borçka Dam Lake

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Abstract

The relationships between nutrients and the trophic state of Borçka dam reservoir in the Çoruh River Basin, which is located in the Eastern Black Sea region of Turkey, were evaluated using the trophic state index (TSI), trophic level index (TLI), and statistical analysis. The samples data were analyzed for chlorophyll-a (Chl-a), total phosphorus (TP), total nitrogen (TN), and secchi disk (SD). In the evaluation, according to the TSI‚ TLI and Turkish legislation, the reservoir is assessed as mesotrophic in terms of TP, TN data of the water quality. The measurement results of these parameters are higher at the depth points and lower on the surface. The Chl-a parameter is evaluated mesotrophic with 2013 data at the depth, and oligotrophic with 2016 data. The result of TSI (Chl-a) < TSI (SD), TSI (Chl-a) < TSI (TP), and TSI (TN) indicate non-algal turbidity. At the same time, this was verified by calculating the non-algal turbidity coefficient (Kna). It is observed that there is a low correlation between Chl-a and Kna, however a low correlation with TN, and a high correlation with TP. Non-algal particles in the dam lake may occur due to surface runoff and soil erosion from the agricultural area and human settlements. Regression analysis was conducted to determine the relationship between nutrients and Chl-a. The relationship of Chl-a concentration with TN, TP, and TN/TP concentrations is weak. This supports that there are inorganic suspended solids (non-volatile suspended solids) with high underwater light availability.

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Acknowledgments

The author would like to thank the Artvin Provincial Directorate of Environment and Urbanization for providing the data and Assoc. Prof. Dr. Halil Akıncı for carrying out the drawing and mapping.

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    Ayla Bilgin

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Bilgin, A. Trophic state and limiting nutrient evaluations using trophic state/level index methods: a case study of Borçka Dam Lake. Environ Monit Assess 192, 794 (2020). https://doi.org/10.1007/s10661-020-08741-0

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