RESUMO
Introduction: The development of an appropriate model for the quality control of an industrial wastewater treatment system can save the time as well as the cost
This study was performed to determine an appropriate model in order to predict the COD and TKN parameters by BOD[5] and NH4+ in the Meybod industrial estate waste water treatment plant [WWTP]
Methods: This descriptive - analytical study was performed on 120 samples of the influent and effluent of the industrial estate wastewater treatment plant in JahanAbad, Meybod, Yazd in 2015. The studied parameters were BOD[5], TKN, COD, and NH[+4]
After measuring, they were imported to SPSS and Excel software to determine the relationship between them and then the linear regression model of the statistical method was used
Results: The predictive results of COD values on the basis of BOD[5] in the regression model showed that the coefficient of determination was 0.88 and the correlation coefficient was 0.93 [p = 0.000] for this relationship. The prediction of TKN values on the basis of NH[+4] in the regression model showed that for this relationship the determination coefficient of TKN and NH[+4] influent parameters was 0.877 and the correlation coefficient was 0.93 [p = 0.000]
Conclusion: This study represented that using the linear regression model for predicting COD and TKN values through BOD[5] and NH[+4] was in close accordance with the laboratory data and can thus be applied when the Meybod industrial estate WWTP faces time limitations or sampling problems