Statistic Modeling and Forecasting of Input Load Variables at Urban Wastewater Treatment Plant
The paper studies the process of change in input load on biological treatment subsystem consisting of aeration tank and settling tank. We explored the possibility of early (anticipatory) calculation of contamination in terms of upgrading the existing management system of biological treatment. A combined structure of the control system with a predictor is proposed. Modeling of the predictor is based on the time-series analysis of flow rate and concentration of pollutants; autoregressive integrated moving average (ARIMA) model based on the Box-Jenkins approach was used.