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확률밀도함수 기반 유입하수 재현 및 활성슬러지공정 설계기법 개발
유광태 ( Kwangtae You ),김종락 ( Jongrack Kim ),윤주환 ( Zuhwan Yun ),박기정 ( Gijung Pakt ) 한국물환경학회(구 한국수질보전학회) 2017 한국물환경학회지 Vol.33 No.2
An important factor in determining the design and, therefore, the efficiency of wastewater treatment plants (WWTPs) is the influents` quantity and quality. Detailed and accurate information is essential for process control, diagnosis, and operation. In designing a plant, the optimal capacity of each bioreactor must be determined. Probabilistic models are used to predict the wastewater quantity and quality of WWTPs, which are widely used to improve plant designs and operations. In this study, the optimal probability distribution of time series data was derived to predict the influent`s water quantity and quality. Wastewater data were generated using a Monte Carlo simulation. In addition, we estimated various alternatives for the improvement of bioreactor operations based on present operation conditions, using the generated influent data and the activated sludge model, and suggested an alternative for an optimally effective plant operation. Since the influent quantity and quality were highly correlated with the actual operation data, the WWTPs` real influent characteristics were well reproduced. Adopting this suggested alternative will improve the operating conditions of WWTPs and an improvement plan for the current tele monitoring system`s effluent quality standards can be proposed.
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