FIELD TEST OF EVALUATION FOR WATER LEVEL PROFILE IN A SEWER PIPE USING DIEX-FLOOD MODEL

Abstract

 An inland flooding could be occerred frequently due to localized torrential rainfall enhanced by climate change. However, quantitative monitoring measurement has not yet been well-established for evaluating the damages and drainage management of inland flooding, as well as its threshold for evacuation from such complicated and qualitative information. In this study, for the purpose of grasping the risk of inland flooding, the reformed DIEX-Flood model, which interpolate and extrapolate water-level data into a streamwise direction with satisfying hydraulic principles, can calculate accurately with high-speed calibration performence. The improved model was verified by using the water level observation data of sewer pipe. The results indicate the proposed method can forcast streamwise distribution of water-level with high accuracy by using data assimilation. In data assimilation, the correction of forcasting is made with less influence from the rainfall prediction errors and other potential errors.