Professor Toyama Prefectural University, Toyama, Japan
Abstract Submission: In many regions with sparse rainfall monitoring networks, traditional flood risk analysis often assumes a uniform distribution (spatially and temporally) of extreme rainfall across a catchment area. This oversimplification can misrepresent flood mechanisms, leading to overly conservative flood design estimates and inefficient infrastructure. This study addresses these challenges by examining the spatial and temporal distribution of extreme rainfall in the Upper Citarum River Basin, West Java, Indonesia. Utilizing multi-satellite-based rainfall data from the integrated multi-satellite retrievals for GPM (IMERG), which covers over 20 years (from 2000 to the near present), we analyze historical extreme rainfall patterns to refine the flood risk analysis framework. By integrating these refined distributions into flood design frameworks, we provide a realistic representation of flood risks specific to the Upper Citarum River Basin. This approach allows for a detailed understanding of the spatial and temporal variability of extreme rainfall events, which traditional methods often overlook. The study's findings indicate that incorporating these advanced rainfall distributions enhances flood risk predictions and leads to more effective and efficient infrastructure design. This research is particularly valuable for poorly gauged regions, where flood risk assessment still holds an assumption of uniform rainfall distribution.
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