Author(s): Giulia Failla; Gabriele Freni; Mariacrocetta Sambito; Gaetano Beninati; Andrea Federico; Marcella Lo Bianco

Linked Author(s): Gabriele Freni

Keywords: Bootstrap Approach; Intensity-Duration-Frequency; Spatial Uncertainty

Abstract: The accuracy of rainfall-runoff models is essential for understanding climate variability, managing water resources, and mitigating flood risks. Rainfall data, as a crucial input to hydrological processes, significantly contributes to the uncertainty of these models. Focusing on the Addis Ababa catchment, an approach for the assimilation of rainfall data has been studied, integrating satellite and ground observations to enhance urban drainage design through the precise identification of design storms. At the methodology's core is applying the bootstrap method for evaluating spatial uncertainty in Intensity-Duration-Frequency (IDF) curves within a comprehensive rain gauge network. Findings derived from a dataset encompassing 17 stations reveal variability in uncertainty ranging from 0.10% to 28%, highlighting areas within the urban core that necessitate targeted improvements for data accuracy and network consistency. By advancing precision in urban hydrological assessments, the research contributes to improved water resource management and the development of resilient and sustainable urban water systems

DOI: https://doi.org/10.3850/iahr-hic2483430201-210

Year: 2024