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 and observing 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 of mathematical methods and Monod equations and finally by modelling the process using fuzzy regression analysis, 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 3.9 day~(-1), b_H as 0.077 day~(-1) and Y_H as 0.51gCOD X_H (gCOD S_s)~(-1). Activated sludge biological treatment process modelling using fuzzy regression analysis showed that correlation coefficient between the actual data and model for VSS, COD and SCOD equals to 0.97 by power function, 0.95 by linear function and 0.86 by power function respectively.