Author(s): Kaihua Guo; Haochen Yan; Mingfu Guan

Linked Author(s): Kaihua Guo, Haochen Yan

Keywords: Training rainstorms; Hydrodynamic model; Urban flood; Storm spatiotemporal design

Abstract: This study examines the phenomenon of "training rainstorms" and their implications for urban flooding. By utilizing a spatially distributed hydrodynamic model and validating the results with crowd-sourced data, the dynamic process of the "9.7" storm in the Sha Tin and Wong Tai Sin districts was successfully simulated. The study reveals that under different design rainfall scenarios, the central urban area, where residents are concentrated, is particularly susceptible to inundation. The severity of internal flooding and inundation increases with higher peak intensities and longer durations of rainfall. Risk areas within the study region were categorized into low, medium, and high, with the differences diminishing as the risk level rises. Additionally, the impact of storm paths on risk areas is minimal compared to the influence of the storm's return period. Furthermore, the study highlights the significant role of rainstorm development paths and land use in determining the risk of urban flooding. This information holds valuable insights for urban planning and the implementation of effective warning systems in areas prone to training rainstorms. Ultimately, it contributes to the proactive management and mitigation of internal flooding risks.

DOI: https://doi.org/10.3850/iahr-hic2483430201-87

Year: 2024