Regionalization of minimum flows in the hydrographic basin of the Rio Mearim in the state of Maranhão

Detalhes bibliográficos
Autor(a) principal: Mello, Frederico Wagner Pereira Jansen
Data de Publicação: 2020
Outros Autores: Pessoa, Francisco Carlos Lira, Santana, Laila Rover
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/2651
Resumo: Regionalization methods have been used to estimate flows in regions that present lack or even lack of hydrological data. Thus, the present study aimed to develop a model of regionalization of minimum flows of reference Q90 for the hydrographic basin of Rio Mearim, in the state of Maranhão. Data consisting of 28 streamflow gauge and 28 rainfall gauge were used. The variables drainage area, average annual precipitation and average monthly precipitation were used as physical-climatic characteristics of the basin under study. Regional models were developed using the Traditional Method. Validation parameters, such as the Pearson coefficient (r), the coefficient of determination (R2), the Nash-Sutcliffe coefficient (NASH), the root of the mean square error (RMSE), the mean absolute error (BIAS) and the index “c” performance indicators were used to verify the fit and performance of the models. The linear regional equation of minimum flow Q90, explained from the drainage area and average annual precipitation, was the model that showed the best performance in adjusting the observed and simulated values, being classified as good, since values of R2 and NASH greater than 0.60, as well as RMSE less than 2, BIAS equal to 0.01 and performance index (c) greater than 0.65.
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spelling Regionalization of minimum flows in the hydrographic basin of the Rio Mearim in the state of MaranhãoRegionalización de caudales mínimos en la cuenca hidrográfica del río Mearim en el estado de MaranhãoRegionalização de vazões mínimas da bacia hidrográfica do Rio Mearim no estado do MaranhãoModelos regionaisRegressão múltiplaQ90.Modelos regionalesRegresión múltipleQ90.Regional modelsMultiple regressionQ90.Regionalization methods have been used to estimate flows in regions that present lack or even lack of hydrological data. Thus, the present study aimed to develop a model of regionalization of minimum flows of reference Q90 for the hydrographic basin of Rio Mearim, in the state of Maranhão. Data consisting of 28 streamflow gauge and 28 rainfall gauge were used. The variables drainage area, average annual precipitation and average monthly precipitation were used as physical-climatic characteristics of the basin under study. Regional models were developed using the Traditional Method. Validation parameters, such as the Pearson coefficient (r), the coefficient of determination (R2), the Nash-Sutcliffe coefficient (NASH), the root of the mean square error (RMSE), the mean absolute error (BIAS) and the index “c” performance indicators were used to verify the fit and performance of the models. The linear regional equation of minimum flow Q90, explained from the drainage area and average annual precipitation, was the model that showed the best performance in adjusting the observed and simulated values, being classified as good, since values of R2 and NASH greater than 0.60, as well as RMSE less than 2, BIAS equal to 0.01 and performance index (c) greater than 0.65.Se han utilizado métodos de regionalización para estimar flujos en regiones que carecen o incluso carecen de datos hidrológicos. Así, el presente estudio tuvo como objetivo desarrollar un modelo de regionalización de flujos mínimos de referencia Q90 para la cuenca hidrográfica de Río Mearim, en el estado de Maranhão. Se utilizaron datos consistentes en 28 estaciones fluviométricas y 28 estaciones pluviométricas. Las variables área de drenaje, precipitación anual promedio y precipitación mensual promedio se usaron como características físico-climáticas de la cuenca en estudio. Los modelos regionales se desarrollaron utilizando el Método Tradicional. Parámetros de validación, como el coeficiente de Pearson (r), el coeficiente de determinación (R2), el coeficiente de Nash-Sutcliffe (NASH), la raíz del error cuadrado medio (RMSE), el error absoluto medio (BIAS) y el índice Los indicadores de rendimiento "c" se utilizaron para verificar el ajuste y el rendimiento de los modelos. La ecuación regional lineal de flujo mínimo Q90, explicada por el área de drenaje y la precipitación anual promedio, fue el modelo que mostró el mejor desempeño en el ajuste de los valores observados y simulados, clasificándose como buenos, ya que los valores de R2 y NASH mayor que 0.60, así como RMSE menor que 2, BIAS igual a 0.01 e índice de rendimiento (c) mayor que 0.65.Métodos de regionalização vem sendo utilizados para estimar as vazões em regiões que apresentam carência ou mesmo inexistência de dados hidrológicos. Dessa forma, o presente trabalho teve como objetivo desenvolver um modelo de regionalização de vazões mínimas de referência Q90 para a bacia hidrográfica do Rio Meari, no estado do Maranhão. Foram utilizados dados consistidos de 28 estações fluviométricas e de 28 estações pluviométricas. As variáveis área de drenagem, precipitação anual média e precipitação mensal média foram empregadas como características físico-climáticas da bacia em estudo. Os modelos regionais foram desenvolvidos por intermédio do Método Tradicional. Parâmetros de validação, como o coeficiente de Pearson (r), o coeficiente de determinação (R2), o coeficiente de Nash-Sutcliffe (NASH), a raiz do erro quadrático médio (RMSE), o erro médio absoluto (BIAS) e o índice de desempenho “c”, foram empregados para verificar o ajuste e o desempenho dos modelos. A equação regional linear de vazão mínima Q90, explicada a partir da área de drenagem e precipitação anual média, foi o modelo que mostrou o melhor desempenho no ajuste dos valores observados e simulados, classificando-se como bom, uma vez que foram encontrados valores de R2 e NASH superiores a 0,60, do mesmo modo que RMSE inferiores a 2, BIAS igual a 0,01 e índice de desempenho (c) superior a 0,65.Research, Society and Development2020-04-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/265110.33448/rsd-v9i6.2651Research, Society and Development; Vol. 9 No. 6; e114962651Research, Society and Development; Vol. 9 Núm. 6; e114962651Research, Society and Development; v. 9 n. 6; e1149626512525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/2651/3839Copyright (c) 2020 Francisco Carlos Lira Pessoa, Frederico Wagner Pereira Jansen Melloinfo:eu-repo/semantics/openAccessMello, Frederico Wagner Pereira JansenPessoa, Francisco Carlos LiraSantana, Laila Rover2020-08-20T18:05:46Zoai:ojs.pkp.sfu.ca:article/2651Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:27:09.702687Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Regionalization of minimum flows in the hydrographic basin of the Rio Mearim in the state of Maranhão
Regionalización de caudales mínimos en la cuenca hidrográfica del río Mearim en el estado de Maranhão
Regionalização de vazões mínimas da bacia hidrográfica do Rio Mearim no estado do Maranhão
title Regionalization of minimum flows in the hydrographic basin of the Rio Mearim in the state of Maranhão
spellingShingle Regionalization of minimum flows in the hydrographic basin of the Rio Mearim in the state of Maranhão
Mello, Frederico Wagner Pereira Jansen
Modelos regionais
Regressão múltipla
Q90.
Modelos regionales
Regresión múltiple
Q90.
Regional models
Multiple regression
Q90.
title_short Regionalization of minimum flows in the hydrographic basin of the Rio Mearim in the state of Maranhão
title_full Regionalization of minimum flows in the hydrographic basin of the Rio Mearim in the state of Maranhão
title_fullStr Regionalization of minimum flows in the hydrographic basin of the Rio Mearim in the state of Maranhão
title_full_unstemmed Regionalization of minimum flows in the hydrographic basin of the Rio Mearim in the state of Maranhão
title_sort Regionalization of minimum flows in the hydrographic basin of the Rio Mearim in the state of Maranhão
author Mello, Frederico Wagner Pereira Jansen
author_facet Mello, Frederico Wagner Pereira Jansen
Pessoa, Francisco Carlos Lira
Santana, Laila Rover
author_role author
author2 Pessoa, Francisco Carlos Lira
Santana, Laila Rover
author2_role author
author
dc.contributor.author.fl_str_mv Mello, Frederico Wagner Pereira Jansen
Pessoa, Francisco Carlos Lira
Santana, Laila Rover
dc.subject.por.fl_str_mv Modelos regionais
Regressão múltipla
Q90.
Modelos regionales
Regresión múltiple
Q90.
Regional models
Multiple regression
Q90.
topic Modelos regionais
Regressão múltipla
Q90.
Modelos regionales
Regresión múltiple
Q90.
Regional models
Multiple regression
Q90.
description Regionalization methods have been used to estimate flows in regions that present lack or even lack of hydrological data. Thus, the present study aimed to develop a model of regionalization of minimum flows of reference Q90 for the hydrographic basin of Rio Mearim, in the state of Maranhão. Data consisting of 28 streamflow gauge and 28 rainfall gauge were used. The variables drainage area, average annual precipitation and average monthly precipitation were used as physical-climatic characteristics of the basin under study. Regional models were developed using the Traditional Method. Validation parameters, such as the Pearson coefficient (r), the coefficient of determination (R2), the Nash-Sutcliffe coefficient (NASH), the root of the mean square error (RMSE), the mean absolute error (BIAS) and the index “c” performance indicators were used to verify the fit and performance of the models. The linear regional equation of minimum flow Q90, explained from the drainage area and average annual precipitation, was the model that showed the best performance in adjusting the observed and simulated values, being classified as good, since values of R2 and NASH greater than 0.60, as well as RMSE less than 2, BIAS equal to 0.01 and performance index (c) greater than 0.65.
publishDate 2020
dc.date.none.fl_str_mv 2020-04-20
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/2651
10.33448/rsd-v9i6.2651
url https://rsdjournal.org/index.php/rsd/article/view/2651
identifier_str_mv 10.33448/rsd-v9i6.2651
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/2651/3839
dc.rights.driver.fl_str_mv Copyright (c) 2020 Francisco Carlos Lira Pessoa, Frederico Wagner Pereira Jansen Mello
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Francisco Carlos Lira Pessoa, Frederico Wagner Pereira Jansen Mello
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. 9 No. 6; e114962651
Research, Society and Development; Vol. 9 Núm. 6; e114962651
Research, Society and Development; v. 9 n. 6; e114962651
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_ 1797052646233735168

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