Study of maximum flows of project using a Gumbel distribution
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
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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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 |
_version_ |
1797052788975337472 |