Assessing the surface water status in Pannonian ecoregion by the water quality index model |
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| Affiliation: | 1. Ankara University, Faculty of Enginering, Dept. of Chemical Engineering, Ankara 06100, Turkey;2. Inonu University, Faculty of Enginering, Dept. of Chemical Engineering, Malatya 44280, Turkey;3. Hitit University, Faculty of Enginering, Dept. of Chemical Engineering, Çorum 9200, Turkey;1. Water engineering Department, University of Zanjan, Iran;2. School of Natural and Built Environments, University of South Australia, Adelaide, Australia;3. ORISE Postdoc at US EPA Office of Research and Development |
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| Abstract: | The results of a 3-year monitoring study of surface water status in the Pannonian ecoregion for three different water types (4, 5B, 5C) are presented and evaluated statistically with descriptive and multivariable analyses. A modified water quality index (WQIM) for the Pannonian ecoregion is performed based on 7 indicators of water quality (pH, dissolved oxygen, biological oxygen demand (BOD), total organic carbon (TOC), nitrate, total nitrogen and total phosphorus). The applied analysis indicates correlation between individual variables with particularly strong correlation between BOD and TOC. Two linear prediction models (multivariable linear regression model (MLR) and piecevise linear regression model (PLR)) of WQI for assesment of water status in the Pannonian ecoregion were developed. In these linear models, indicator BOD was replaced with indicator TOC. In predicting WQI for the three different water types in the Pannonian ecoregion, better results were obtained with a correlation coefficients R2(4) = 0.88, R2(5B) = 0.76 and R2(5C) = 0.79 by piecevise linear regression model. |
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| Keywords: | Water quality Water quality index Multivariable linear regression model Piecevise linear regression model |
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