The Analysis of Impact Factors for Dissolved Oxygen Concentration in Wastewater Treatment System Using an Adaptive Modeling Method

Abstract

The dissolved oxygen concentration (DOC) in water is an important indicator of self-purification capacity of water in wastewater treatment system. In this study, the operating processes of wastewater treatment systems are modeled based on the mechanism model. Meanwhile, different factors that influence the DOC are analyzed. The adaptive dynamic model of DOC is established in the Matlab environment considering white noise in the model input. The effect of the input variables (e.g., aeration tank) and load variables (e.g., oxygen consumption) on the DOC is analyzed in detail when white noise is considered in the model input. The transform transient characteristics of DOC are obtained after leaving out outliers of the input variables. As an on-line outlier’s detection method, abnormal value detection is used to remove the inferior quality data in order to ensure the reliability of the efficiency of the developed model. Results demonstrate that the adaptive dynamic simulation model can be used to improve both the accuracy of modeling and the ability of modeling system dynamics.