| Summary: | 碩士 === 國立聯合大學 === 環境與安全衛生工程學系碩士班 === 100 === Monitoring and control for the wastewater treatment with dissolved oxygen (DO), oxidation-reduction potential (ORP) and pH are flexible and efficiency parameters in the biological treatment and chemical treatment process in recent years. In this study, using the nanoscale zero valent iron (NZVI) for reduction of Trichloroethylene (TCE), combined continuous monitoring with DO, ORP and pH to build an optimal control model. The value of pH increase rapidly, the ORP dropped to negative value, and the DO became to anaerobic conditions within 3 minutes, shows the reaction system presented a stable reduction state. In batch experiments, NZVI were limited to reduction the higher initial concentration of TCE and cause the TCE residual phase, however, in the lower TCE initial concentration were complete reduction by NZVI, the removal efficiencies of TCE were more than 90% after 2 hours, and the monitoring parameters were changed with the various NZVI dosage. Using multiple regression and artificial neural network (ANN) to predict the removal efficiency of TCE, the prediction of ANN more accurate than multiple regression analysis, the R2 of ANN could reach 0.98. The results of the batch experiments have shown that the TCE removal efficiency were effectively predicted by the ORP and pH.
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