2023 Volume 11 Issue 1 Article ID: B1-E0088
Inland flooding can occur frequently due to localized torrential rainfall magnified by climate change. However, quantitative monitoring measurement has not yet been well-established for evaluating the damage and drainage management of inland flooding. There is also no existing threshold for evacuation, on the basis of such complicated and qualitative information. In this study, for the purpose of understanding the risk distribution of inland flooding, we have improved the numerical analysis method (DIEX-Flood) to enable it to perform high-speed calculations in order to interpolate and extrapolate the “point” water- level observation data in the sewage pipe to the “line” data with high accuracy. The improved model was verified by using water-level observation data of a sewer pipe. The results indicate that the proposed method can forecast the streamwise distribution of the water level with high accuracy by using data assimilation. With data assimilation, casting is corrected with less influence from rainfall prediction errors and other potential errors.
