Abstract
To define optimal condition of Zeolite utilization was used the maximum industrial pollution load from the industrial wastewater discharged to treatment plant lied on the industrial town of Shiraz, Fars, Iran. In this study, chemical oxygen demand (COD) load and electrical conductivity (EC) load from this wastewater treatment plant (WWTP) along with the parameters of received industrial effluents, e.g., temperature, total suspended solid (TSS), total dissolved solid (TDS) and PH were monitored. Using the several mathematical models that defined on their relationships was resulted the correlation coefficients of 83% and 90% for COD with TDS, and COD with TSS, respectively, thus the best regression coefficient was 0.5 under linear and nonlinear forms. Autoregressive integrated moving average model (ARIMA) was also used for obtaining the better results, such that the exceeded values of TSS and TDS at before day were defined as input variables. In this log-time of bioreactor process, curve fitting approach and clustering analysis with and without normalized data had not improved the regression coefficient of linear and nonlinear functions. The simulation model based on fuzzy inference system (FIS) has been good corresponding with the distribution of estimated and observed data of COD, so that comparing such distribution of COD with line of 1:1 resulting the regression coefficient is 0.764. This study indicated that fixed value of the soluble solids concentration on industrial wastewater discharged into treatment plant has the important role in effectiveness of Zeolite filtration, i.e., it's threshold is occurred in 1746 ppm in this case study.