확률밀도함수 기반 유입하수 재현 및 활성슬러지공정 설계기법 개발 : Development of Application Method of Influent Wastewater Generation and Activated Sludge Process Design Based on Probability Density Function
Development of Application Method of Influent Wastewater Generation and Activated Sludge Process Design Based on Probability Density Function
- 주제(키워드) Activated Sludge Process , ASM Model , Monte Carlo simulation , Probability Density Function , Wastewater Influent
- 발행기관 한국물환경학회
- 발행년도 2017
- 총서유형 Journal
- UCI G704-000646.2017.33.2.010
- KCI ID ART002213498
- 본문언어 한국어
초록/요약
An important factor in determining the design and treatment efficiency of wastewater treatment plants (WWTPs) is the quantity and quality of influent. These detailed and accurate information is essential for process control, diagnosis and operation, as well as the basis in designing the plant, selecting the process and determining the optimal capacity of each bioreactor. Probabilistic models are used to predict the wastewater quantity and quality of WWTPs, which are widely used to improve the design and operation of WWTPs. In this study, the optimal probability distribution of time series influent data was derived for predicting water quantity and quality, and wastewater influent data were generated using the Monte Carlo simulation analysis. In addition, we estimated various alternatives for the improvement of bioreactor operations based on present operation condition using the generated influent data and activated sludge model, and suggested the alternative that can operate the most effectively. Thus, the influent quantity and quality are highly correlated with the actual operation data, so that the actual WWTPs influent characteristics were well reproduced. Using this will improve the operating conditions of WWTPs, and a proposed improvement plan for the current TMS (Tele Monitoring System) effluent quality standards can be made.
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