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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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
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Online Access:https://polired.upm.es/index.php/anales_de_edificacion/article/view/5516
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author Raúl Montes-Pajuelo
Ángel Mariano Rodríguez-Pérez
Julio José Caparrós-Mancera
César Antonio Rodríguez-González
author_facet Raúl Montes-Pajuelo
Ángel Mariano Rodríguez-Pérez
Julio José Caparrós-Mancera
César Antonio Rodríguez-González
author_sort Raúl Montes-Pajuelo
collection DOAJ
description 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.
format Article
id doaj-art-7f2836d4e022401a9d2f4df44b91374a
institution Kabale University
issn 2444-1309
language English
publishDate 2025-04-01
publisher Universidad Politécnica de Madrid
record_format Article
series Anales de Edificación
spelling doaj-art-7f2836d4e022401a9d2f4df44b91374a2025-08-25T11:45:24ZengUniversidad Politécnica de MadridAnales de Edificación2444-13092025-04-01111586110.20868/ade.2025.55168443Distribution probability functions for models applied to hydraulic works in urban areas: LOG-GUMBEL vs LOG-PEARSON IIIRaúlRaúl Montes-Pajuelo0Ángel Mariano Rodríguez-Pérez1Julio José Caparrós-Mancera2César Antonio Rodríguez-González3University of HuelvaUniversity of AlmeríaUniversity of HuelvaUniversity of HuelvaHydrometeorological 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.https://polired.upm.es/index.php/anales_de_edificacion/article/view/5516modellinghydrological engineeringprecipitation distribution functionsdrainage in urban areas
spellingShingle Raúl Montes-Pajuelo
Ángel Mariano Rodríguez-Pérez
Julio José Caparrós-Mancera
César Antonio Rodríguez-González
Distribution probability functions for models applied to hydraulic works in urban areas: LOG-GUMBEL vs LOG-PEARSON IIIRaúl
Anales de Edificación
modelling
hydrological engineering
precipitation distribution functions
drainage in urban areas
title Distribution probability functions for models applied to hydraulic works in urban areas: LOG-GUMBEL vs LOG-PEARSON IIIRaúl
title_full Distribution probability functions for models applied to hydraulic works in urban areas: LOG-GUMBEL vs LOG-PEARSON IIIRaúl
title_fullStr Distribution probability functions for models applied to hydraulic works in urban areas: LOG-GUMBEL vs LOG-PEARSON IIIRaúl
title_full_unstemmed Distribution probability functions for models applied to hydraulic works in urban areas: LOG-GUMBEL vs LOG-PEARSON IIIRaúl
title_short Distribution probability functions for models applied to hydraulic works in urban areas: LOG-GUMBEL vs LOG-PEARSON IIIRaúl
title_sort distribution probability functions for models applied to hydraulic works in urban areas log gumbel vs log pearson iiiraul
topic modelling
hydrological engineering
precipitation distribution functions
drainage in urban areas
url https://polired.upm.es/index.php/anales_de_edificacion/article/view/5516
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