Estimating of the Relationship between Chemical Water Quality Parameters and Flow Rate of Karun Rive

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Estimating of the Relationship between Chemical Water Quality Parameters and Flow Rate of Karun River in Wet and Dry Seasons

Original Article, D62
Karami O, Shokouhifar M, Boroomandnasab S.
J. Civil Eng. Urban. 4(4): 409-412. 2014

ABSTRACT: Hydro-Chemical Studies using regression tests would be efficient operational to save the time and cost, If the regression tests confirmed the correctness of regression analysis. In this study, water quality parameters of Karun river that are varies during a year by flow rate of the river, has been separated in two categories, Wet and Dry Seasons. Water quality and flow rate data were analyzed by using SPSS 18.0 in six regression models from October 1971 to September 2012. The best regression model selected based on the p-value and the largest adjusted R-Square. Correctness of estimated values was evaluated by using the t-test, in this way residuals of the best model should be distributed normally around zero. The result of statistical analysis showed that obtained regression equation in the Dry Seasons estimates values that are close to reality values at 5% probability level and Inverse regression model is suitable for all parameters except pH and HCO3. In the Wet Season, except the Mg, regressions equation had a good performance. Theory of residuals proved that in the Wet Seasons Inverse regression pattern for TDS, EC, SO4, Cl, Na and SAR and Logarithmic regression pattern for estimating the HCO3 values were appropriate but none of the regression models did not have satisfactory for pH and EC.
Keywords: Adjusted R Square, Hydro chemical, Karun River, Residual, Regression pattern, t-Test

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