A Simple Soft Sensing Method Based on DO Simulation for COD/OUR/Ammonia/Nitrite/Nitrate in a Constant Aerotion SBR

Abstract

Dissolved Oxygen (DO) is one of critical factors influencing substrate degradation and nitrification rates in activated sludge process. A two-step nitrification model describing the aeration period of the sequencing batch reactor (SBR) operation is developed. Parameter estimation of this model using the DO data determine the stoichiometry and kinetic parameters as well as the initial value of main nutrients, including readily biodegradable substrate, ammonia, nitrite and nitrate. Only if the parameter estimation is implemented, reaction related substrates can be predicted if new initial values are given. With optimal DO data, this paper pointed out that without initial value monitoring, both of the parameter estimation and prediction of the main nutrients profiles can be done through a simple method based on a global parameter estimation algorithm.