REGRESSION MODELS PERFORMANCE IN WATER QUALITY ASSESSMENT

Abstract

Water samples were taken for the 65-km drainage area of the Mudurnu River Basin and analyses were carried out. Changes were observed in the quality of water from upstream to down-stream. The aim of this study is to determine the water quality of Mudurnu River through water samples taken from 6 stations placed on Mudumu River for 6 months twice a month. The water quality parameters were analyzed in the water samples. Moreover, the correlations among water quality parameters were assessed using Regression Models. The Regression Model obtained in the regression analysis explained the Total Kjeldahl Nitrogen parameter with the highest rate. It was also understood that there was a highly significant positive correlation between Chemical Oxygen Demand and Biochemical Oxygen Demand.