Modeling water quality parameters in the surface waters of Samanlı and Safran Rivers, Turkey

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Number of pages: 61-84
Year-Number: 2021-1

Abstract

In this study, the water quality of the Samanlı and Safran Rivers, passing through Yalova Province, were examined in terms of physicochemical parameters, alkalinity and content of inorganic nutrients (nitrate, nitrite, phosphate). The sampling from five station located on the Samanlı and Safran Rivers was performed for fiftythree weeks. Linear and nonlinear Models were applied by the aid of Matlab, Microsoft Excel programs and Multiple Linear Regression Model. The predictions were performed for the samples collected from other points beyond the rivers, and it was shown that the model predicts well the parameters with low error. As a result, it was determined that the linear models predicted the value of parameters for next 8 months. Nonlinear models predict well at least eight months values. Additionally, it was determined that the models work well especially for the samples collected from fresh water.

Keywords

Abstract

In this study, the water quality of the Samanlı and Safran Rivers, passing through Yalova Province, were examined in terms of physicochemical parameters, alkalinity and content of inorganic nutrients (nitrate, nitrite, phosphate). The sampling from five station located on the Samanlı and Safran Rivers was performed for fiftythree weeks. Linear and nonlinear Models were applied by the aid of Matlab, Microsoft Excel programs and Multiple Linear Regression Model. The predictions were performed for the samples collected from other points beyond the rivers, and it was shown that the model predicts well the parameters with low error. As a result, it was determined that the linear models predicted the value of parameters for next 8 months. Nonlinear models predict well at least eight months values. Additionally, it was determined that the models work well especially for the samples collected from fresh water.

Keywords