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- Title
Water Quality Assessment of the Mudurnu River, Turkey, Using Biotic Indices.
- Authors
Ogleni, Nurtac; Topal, Bayram
- Abstract
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.
- Subjects
TURKEY; WATER quality monitoring; BIOCHEMICAL oxygen demand; CHEMICAL oxygen demand; TOTAL Kjeldahl nitrogen; ARTIFICIAL neural networks; LOGISTIC regression analysis; RIVERS
- Publication
Water Resources Management, 2011, Vol 25, Issue 10, p2487
- ISSN
0920-4741
- Publication type
Article
- DOI
10.1007/s11269-011-9822-1