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The Yalvaç Stream is one of the important sources feeding Lake Eğirdir, the second largest freshwater lake in Turkey. Determining the pollution of the stream used for drinking water and agricultural irrigation is important not only for the continuation of the usability of water, but also for determining the pollution load it carries to Lake Eğirdir. In addition, the macrozoobenthic invertebrate fauna of the stream was revealed in the study. The study was carried out between April 2022 and January 2023, and water and macrozoobenthic invertebrate samples were taken from six stations seasonally. Belgian Biotic Index, BMWP (original and Spanish versions), and species diversity indices were applied for determining the water quality by using the ASTERICS software program. Physicochemical water quality assessment made according to the Türkiye Surface Water Quality Regulation. As a result, a total of 49 taxa were detected: three taxa from Gastropoda, two taxa from Hirudinea, one taxon from Malacostraca, and 43 taxa from Insecta. Stations were clustered by using UPGMA based on organisms. Station 6 was the most different one for the macrozoobenthic invertebrates. The lowest species diversity values were also found at this station. Physicochemical parameters and biotic indices showed that while the first three stations were in water quality class I, there was a decrease in the water quality of the other stations. The reasons for the decrease in water quality are due to domestic and agricultural wastes and livestock activities. Additionally, all of the identified taxa were reported as new records for this stream. [ABSTRACT FROM AUTHOR]

Benthic macroinvertebrates can provide an integrated picture of environmental changes. Health of freshwaters can be assessed based on measured changes in the ecological structure of benthic macroinvertebrates. During the study period, 33 taxa were determined in Ilke Stream. As a result of principle component analysis (PCA), mainly nine components (T °C, EC, TDS, BOD5, NH4–N, NO2–N, NO3–N, PO4–P and CI–) account for 92% of the total variance among the water quality parameters. As a result of the UPGMA analysis, the highest similarity value was observed between the 1th and 2nd sampling points. SI, BMWP, ASPT and BBI indices were more proper than FBI index to determine the water quality of Ilke Stream. The results indicate that these indices should be adapted based on the ecological, geomorphological and environmental features of the regions. [ABSTRACT FROM AUTHOR]

In this study, the effect of domestic and industrial pollutants on the water quality of Mudurnu River was searched. Water and benthic macroinvertebrate samples were taken from five stations selected on Mudurnu River during 12 months (2006-2007). COD (Chemical Oxygen Demand), BOD (Biochemical Oxygen Demand), TKN (Total Kjeldahl Nitrogen), ${\rm{NO}}_{3}^{-}$-N (Nitrate-Nitrogen), ${\rm{PO}}_{4}^{-3}$-P (Phosphate-Phosphorous), ${\rm{NH}}_{4}^{+}$-N (Ammonium-Nitrogen), Phenol data and scores of BMWP (Biological Monitoring Working Party) score system, ASPT (Average Score per Taxon), TBI (Trent Biotic Index), BBI (Belgian Biotic Index), Margalef's index (R), Shannon-Wiener diversity index (H), Simpson's diversity index (D) were determined. The relationship between data of chemical parameters and scores of biotic indices were investigated by using statistical methods. With decision tree technique, artificial neural network (ANN) and logistic regression model, chemical water quality was predicted from scores of biotic indices. A success at 67% was provided in the prediction of chemical water quality class of Mudurnu River. [ABSTRACT FROM AUTHOR]