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Forecast of Influent Characteristics in Wastewater Treatment Plant with Time Series Model  

Kim, Byung-Goon (한국수자원공사 수자원연구원)
Moon, Yong-Taik (한국수자원공사 수자원연구원)
Kim, Hong-Suck (한국수자원공사 수자원연구원)
Kim, Jong-Rack (팬지아21)
Publication Information
Journal of Korean Society of Water and Wastewater / v.21, no.6, 2007 , pp. 701-707 More about this Journal
Abstract
The information on the incoming load to wastewater treatment plants is not often available to apply to evaluate effects of control actions on the field plant. In this study, a time series model was developed to forecast influent flow rate, BOD, COD, SS, TN and TP concentrations using field operating data. The developed time series model could predict 1 day ahead forecasting results accurately. The coefficient of determination between measured data and 1 day ahead forecasting results has a range from 0.8898 to 0.9971. So, the corelation is relatively high. We made forecasting program based on the time series model developed and hope that the program will assist the operators in the stable operation in wastewater treatment plants.
Keywords
Time series model; influent forecasting; ARIMA; supervisory management system;
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