Application of Mathematical Models and Fuzzy Regression Analysis to Determine the Microbial Growth Kinetic Coefficients and Predicting Quality of Treated Wastewater

摘要

In this study, using aeration tank sludge of Ekbatan, Tehran wastewater treatment in pilot lab scale andobserving the amount of aeration, temperature, pH and concentration of feed inlet to the treatment plant,system efficiencies and changes in microbial growth were evaluated, and with the use and application ofmathematical methods and Monod equations and finally by modelling the process using fuzzy regressionanalysis, kinetic coefficient values and output quality effluent of the plant were determined and predicted.The results of the ASM1 model for kinetic coefficients of K s were determined as 31.2 gCOD/m 3 , μ H as 3.9day -1 , b H as 0.077 day -1 and Y H as 0.51gCOD X H (gCOD S S ) -1 . Activated sludge biological treatment processmodelling using fuzzy regression analysis showed that correlation coefficient between the actual data andmodel for VSS, COD and SCOD equals to 0.97 by power function, 0.95 by linear function and 0.86 by powerfunction respectively.