GPS-X model를 이용한 생물학적 폐수처리 공정인자에 대한 최적화 연구

Abstract

It is difficult to maintain a certain quality of treated water because wastewater treatment plant of coastal area is affected by the concentration and flow load according to the inflow of high-concentration NaCl wastewater from the fishery products washing water. As the sludge treatment efficiency decreases due to the inflow of NaCl wastewater and organic matter treatment efficiency of T-N and T-P also decrease. Accordingly, it is helpful for stable treatment if the optimal process factor values are derived by predicting changes in various process factors and reflected in operation. By introducing a modeling technique for sewage treatment, it is possible to verify and predict the quality of discharged water according to changes in process factors. However, in the field, it is a general situation that it is difficult to easily reflect changes in the factor values of process operation for various inflow conditions to sewage treatment. Therefore, the field effluent quality data using modeling was reproduced to optimize the process factor for the inflow of high-concentration NaCl wastewater. In order to cope with changes in influent water and environmental conditions in the future, the prediction of the change in the quality of discharged water according to process factors was studied. This aims to respond quickly to process operation by reviewing the expected discharged water quality for stable treatment and predicting changes in process factors. The 4-stage BNR and Media Process for highconcentration NaCl wastewater inflow were compared and evaluated. In addition, the optimization of sewage treatment water quality according to the MLSS concentration was studied. This is expected to be helpful for operation by predicting the quality of treated water for various environmental conditions in the future treatment plant.