Distribution probability functions for models applied to hydraulic works in urban areas: LOG-GUMBEL vs LOG-PEARSON IIIRaúl

Distribution probability functions for models applied to hydraulic works in urban areas: LOG-GUMBEL vs LOG-PEARSON IIIRaúl

Hydrometeorological models for hydraulic design rely on probability functions to model extreme rainfall. This study compares Log-Gumbel and Log-Pearson III functions using data from Almodóvar reservoir (Cádiz). Log-Gumbel, a variation of the Gumbel distribution, yields higher, safer estimates for lo...

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Bibliographic Details
Main Authors: Raúl Montes-Pajuelo, Ángel Mariano Rodríguez-Pérez, Julio José Caparrós-Mancera, César Antonio Rodríguez-González
Format: Article
Language:English
Published: Universidad Politécnica de Madrid 2025-04-01
Series:Anales de Edificación
Subjects:
modelling
hydrological engineering
precipitation distribution functions
drainage in urban areas
Online Access:https://polired.upm.es/index.php/anales_de_edificacion/article/view/5516
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Summary:Hydrometeorological models for hydraulic design rely on probability functions to model extreme rainfall. This study compares Log-Gumbel and Log-Pearson III functions using data from Almodóvar reservoir (Cádiz). Log-Gumbel, a variation of the Gumbel distribution, yields higher, safer estimates for long return periods (T), but is highly sensitive to data changes. Log-Pearson III, widely used and more stable, shows consistent results despite data variability. For designs with limited or variable data—common in hydraulic works—Log-Pearson III is preferred. However, for urban drainage where safety is prioritized over stability, Log-Gumbel offers a conservative alternative for high T values.
ISSN:2444-1309

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