Study of maximum flows of project using a Gumbel distribution

Detalhes bibliográficos
Autor(a) principal: Nobre, Maria Rianne Pereira
Data de Publicação: 2021
Outros Autores: Pereira, Maurício de Sousa, Campos , Rogério
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/20098
Resumo: The calculation of project maximum floods is fundamental for the design and development of hydraulic constructions. Flood forecasting can be estimated, for example, by applying the calculation of a project flood by extrapolating historical data to critical conditions. Thus, to avoid risks of collapse in hydraulic constructions, it is essential to use specialized statistical distributions to perform the calculations of flows of spillways project. The Gumbel distribution is one of the most widely used probability distribution functions for extreme values in hydrological studies, in which the parameters considered in the analysis are the flow and return period. The Gumbel distribution is one of the most widely used probability distribution functions for extreme values in hydrological studies, in which the parameters considered in the analysis are the flow and return period. In this research work, a Gumbel distribution was used to analyze the data of the maximum flows of a historical series of the Tabajara station, of the Ji-Paraná river, located in the city of Machadinho d’Oeste – RO. The data studied were collected between 1978 and 2015.
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spelling Study of maximum flows of project using a Gumbel distributionEstudio de los flujos máximos de proyecto utilizando una distribución de GumbelEstudo de vazões máximas de projeto usando uma distribuição de GumbelGumbel distributionExtreme valuesMaximum flowsReturn period.Distribución de GumbelValores extremosCaudales máximosPeriodo de devolución.Valores extremosVazões máximasDistribuição de GumbelPeríodo de retorno.The calculation of project maximum floods is fundamental for the design and development of hydraulic constructions. Flood forecasting can be estimated, for example, by applying the calculation of a project flood by extrapolating historical data to critical conditions. Thus, to avoid risks of collapse in hydraulic constructions, it is essential to use specialized statistical distributions to perform the calculations of flows of spillways project. The Gumbel distribution is one of the most widely used probability distribution functions for extreme values in hydrological studies, in which the parameters considered in the analysis are the flow and return period. The Gumbel distribution is one of the most widely used probability distribution functions for extreme values in hydrological studies, in which the parameters considered in the analysis are the flow and return period. In this research work, a Gumbel distribution was used to analyze the data of the maximum flows of a historical series of the Tabajara station, of the Ji-Paraná river, located in the city of Machadinho d’Oeste – RO. The data studied were collected between 1978 and 2015.El cálculo de las crecidas máximas de diseño es fundamental para el diseño y desarrollo de construcciones hidráulicas. El pronóstico de inundaciones, por ejemplo, se puede estimar aplicando el cálculo de una inundación del proyecto extrapolando datos históricos a condiciones extremas. Por lo tanto, para evitar riesgos de colapso en las construcciones hidráulicas, es esencial utilizar distribuciones estadísticas especializadas para realizar los cálculos de flujo del diseño del aliviadero. La distribución de Gumbel es una de las funciones de distribución de probabilidad más utilizadas para valores extremos en estudios hidrológicos, en los que los parámetros considerados en el análisis son el caudal y el período de retorno. En este trabajo de investigación, se utilizó una distribución de Gumbel para analizar los datos de caudal máximo de una serie histórica de la estación Tabajara, en el río Ji-Paraná, ubicada en el municipio de Machadinho d’Oeste - RO. Los datos estudiados fueron recolectados entre 1978 y 2015.O cálculo de cheias máximas de projeto é fundamental para o projeto e desenvolvimento de construções ​hidráulicas. A previsão de enchentes, por exemplo, pode ser estimada, aplicando o cálculo de uma enchente de projeto por extrapolação dos dados históricos para condições extremas. Assim, para evitar riscos de colapso em construções hidráulicas, é fundamental o uso de distribuições estatísticas especializadas para realizar cálculos de vazões de projeto de vertedouros. A distribuição de Gumbel é uma das funções de distribuição de probabilidade mais amplamente utilizadas para valores extremos em estudos hidrológicos, nos quais os parâmetros considerados na análise são a vazão e período de retorno. Neste trabalho de pesquisa, uma distribuição de Gumbel foi utilizada para analisar os dados das vazões máximas de uma série histórica da estação Tabajara, do rio Ji-Paraná, localizado no município de Machadinho d’Oeste – RO. Os dados estudados foram coletados entre os anos de 1978 e 2015.Research, Society and Development2021-09-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2009810.33448/rsd-v10i12.20098Research, Society and Development; Vol. 10 No. 12; e140101220098Research, Society and Development; Vol. 10 Núm. 12; e140101220098Research, Society and Development; v. 10 n. 12; e1401012200982525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/20098/18065Copyright (c) 2021 Maria Rianne Pereira Nobre; Maurício de Sousa Pereira; Rogério Campos https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessNobre, Maria Rianne Pereira Pereira, Maurício de SousaCampos , Rogério 2021-11-14T20:26:51Zoai:ojs.pkp.sfu.ca:article/20098Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:39:50.493164Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Study of maximum flows of project using a Gumbel distribution
Estudio de los flujos máximos de proyecto utilizando una distribución de Gumbel
Estudo de vazões máximas de projeto usando uma distribuição de Gumbel
title Study of maximum flows of project using a Gumbel distribution
spellingShingle Study of maximum flows of project using a Gumbel distribution
Nobre, Maria Rianne Pereira
Gumbel distribution
Extreme values
Maximum flows
Return period.
Distribución de Gumbel
Valores extremos
Caudales máximos
Periodo de devolución.
Valores extremos
Vazões máximas
Distribuição de Gumbel
Período de retorno.
title_short Study of maximum flows of project using a Gumbel distribution
title_full Study of maximum flows of project using a Gumbel distribution
title_fullStr Study of maximum flows of project using a Gumbel distribution
title_full_unstemmed Study of maximum flows of project using a Gumbel distribution
title_sort Study of maximum flows of project using a Gumbel distribution
author Nobre, Maria Rianne Pereira
author_facet Nobre, Maria Rianne Pereira
Pereira, Maurício de Sousa
Campos , Rogério
author_role author
author2 Pereira, Maurício de Sousa
Campos , Rogério
author2_role author
author
dc.contributor.author.fl_str_mv Nobre, Maria Rianne Pereira
Pereira, Maurício de Sousa
Campos , Rogério
dc.subject.por.fl_str_mv Gumbel distribution
Extreme values
Maximum flows
Return period.
Distribución de Gumbel
Valores extremos
Caudales máximos
Periodo de devolución.
Valores extremos
Vazões máximas
Distribuição de Gumbel
Período de retorno.
topic Gumbel distribution
Extreme values
Maximum flows
Return period.
Distribución de Gumbel
Valores extremos
Caudales máximos
Periodo de devolución.
Valores extremos
Vazões máximas
Distribuição de Gumbel
Período de retorno.
description The calculation of project maximum floods is fundamental for the design and development of hydraulic constructions. Flood forecasting can be estimated, for example, by applying the calculation of a project flood by extrapolating historical data to critical conditions. Thus, to avoid risks of collapse in hydraulic constructions, it is essential to use specialized statistical distributions to perform the calculations of flows of spillways project. The Gumbel distribution is one of the most widely used probability distribution functions for extreme values in hydrological studies, in which the parameters considered in the analysis are the flow and return period. The Gumbel distribution is one of the most widely used probability distribution functions for extreme values in hydrological studies, in which the parameters considered in the analysis are the flow and return period. In this research work, a Gumbel distribution was used to analyze the data of the maximum flows of a historical series of the Tabajara station, of the Ji-Paraná river, located in the city of Machadinho d’Oeste – RO. The data studied were collected between 1978 and 2015.
publishDate 2021
dc.date.none.fl_str_mv 2021-09-15
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/20098
10.33448/rsd-v10i12.20098
url https://rsdjournal.org/index.php/rsd/article/view/20098
identifier_str_mv 10.33448/rsd-v10i12.20098
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/20098/18065
dc.rights.driver.fl_str_mv Copyright (c) 2021 Maria Rianne Pereira Nobre; Maurício de Sousa Pereira; Rogério Campos
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Maria Rianne Pereira Nobre; Maurício de Sousa Pereira; Rogério Campos
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 10 No. 12; e140101220098
Research, Society and Development; Vol. 10 Núm. 12; e140101220098
Research, Society and Development; v. 10 n. 12; e140101220098
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
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