Author(s): Ha Minh Do; Gerald Corzo Perez; Chris Zevenbergen

Linked Author(s):

Keywords: Delayed rainfall timing; Spatiotemporal flood; Urban flood

Abstract: Traditional models for predicting flood risk often overlook rainfall events' spatial and temporal variability, focusing instead on aggregate patterns represented through time series. This research challenges this approach by examining the impact of spatially and temporally varied rainfall, including differences due to urban microclimates and convection rainfall, on urban flooding dynamics. Utilizing a hydraulic model, we investigate the sensitivity of drainage systems and flood scenarios to rainfall variability across spatiotemporal scales. Our findings reveal that a delay of 29 minutes in rainfall onset can reduce the flooded area by 6% and the rate of flood expansion by 21.1%. This study underscores the critical need for flood risk assessments to incorporate spatiotemporal rainfall variability, offering stakeholders vital insights for prioritizing flood management strategies with a nuanced understanding of initial flooding locations and pre-saturation periods in urban drainage systems.

DOI: https://doi.org/10.3850/iahr-hic2483430201-517

Year: 2024