REAL-TIME RUNOFF FORECASTING CHARACTERISTICS OF URBAN STORAGE FUNCTION MODEL USING PARTICLE FILTER

Abstract

Recently, a particle filter (PF) that is one of the non-liner and non-gaussian filter has been proved to be a powerful tool for real-time runoff forecasting. In this paper, we implement the PF on Urban Storage Function (USF) model which incorporates urban runoff process such as the outflow from combined sewer system and leaked from water distribution pipes. USF model using the PF is applied to a virtual catchment where rainfall-runoff characteristics are known. The model parameters are updated with 1-minute river discharge data by the PF. The results show that USF model using the PF forecasted the amount of river discharge accurately.