Application of High Dimensional Model Representations (HDMR) and Interpolation to Optimize Nutrient Removal Under Uncertainty

Abstract

In order to circumvent difficulty caused by model uncertainty, high dimensional model representation (HDMR) and interpolation were employed to approximate model outputs with different combinations of manipulated variables and model parameters. The results showed that HDMR and interpolation could be successfully applied to optimize nutrient removal under uncertainty.