Sewerage Stormwater Inflow Prediction by Using System Identification Method with Hammerstein Type of Nonlinear Model

This paper presents a stormwater inflow prediction method based on a rainfall-runoff model. The rainfall-runoff model is derived by using system identification method with a nonlinear model called Hammerstein model, which consists of a static nonlinearity followed by a linear time invariant (LTI) system. It is shown that the Hammerstein model can represent nonlinear phenomena of a rainfall-runoff process effectively, thus the introduction of the Hammerstein model improves the accuracy of inflow prediction results. The effectiveness of the proposed method is illustrated through numerical simulations by using the rainfall-runoff data which is acquired in actual urban catchment and a sewerage treatment plant.