Manning’s roughness coefficient for the Doce River
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | RBRH (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312018000100245 |
Resumo: | ABSTRACT The Manning’s roughness coefficient is used for various hydraulic modeling. However, the decision on what value to adopt is a complex task, especially when dealing with natural water courses due to the various factors that affect this coefficient. For this reason, most of the studies carried out on the subject adopt a local approach, such as this proposal for the Doce River. Due to the regional importance of this river in Brazil, the objective of this article was to estimate the roughness coefficient of Manning along the river, in order to aid in hydraulic simulations, as well as to discuss the uncertainties and variations associated with this value. For this purpose, information on flow rates and water depths were collected at river flow stations along the river. With this information, the coefficients were calculated using the Manning equation, using the software Canal, and their space-time variations were observed. In addition, it was observed that the uncertainties in flow and depth measurements affect the value of the Manning coefficient in the case studied. |
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Manning’s roughness coefficient for the Doce RiverUncertainties in the roughness coefficientHydraulic modelingMonte Carlo simulationABSTRACT The Manning’s roughness coefficient is used for various hydraulic modeling. However, the decision on what value to adopt is a complex task, especially when dealing with natural water courses due to the various factors that affect this coefficient. For this reason, most of the studies carried out on the subject adopt a local approach, such as this proposal for the Doce River. Due to the regional importance of this river in Brazil, the objective of this article was to estimate the roughness coefficient of Manning along the river, in order to aid in hydraulic simulations, as well as to discuss the uncertainties and variations associated with this value. For this purpose, information on flow rates and water depths were collected at river flow stations along the river. With this information, the coefficients were calculated using the Manning equation, using the software Canal, and their space-time variations were observed. In addition, it was observed that the uncertainties in flow and depth measurements affect the value of the Manning coefficient in the case studied.Associação Brasileira de Recursos Hídricos2018-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312018000100245RBRH v.23 2018reponame:RBRH (Online)instname:Associação Brasileira de Recursos Hídricos (ABRH)instacron:ABRH10.1590/2318-0331.231820180013info:eu-repo/semantics/openAccessTeixeira,Emmanuel Kennedy da CostaCoelho,Márcia Maria Lara PintoPinto,Eber José de AndradeDiniz,Jéssica GuimarãesSaliba,Aloysio Portugal Maiaeng2018-10-19T00:00:00Zoai:scielo:S2318-03312018000100245Revistahttps://www.scielo.br/j/rbrh/https://old.scielo.br/oai/scielo-oai.php||rbrh@abrh.org.br2318-03311414-381Xopendoar:2018-10-19T00:00RBRH (Online) - Associação Brasileira de Recursos Hídricos (ABRH)false |
dc.title.none.fl_str_mv |
Manning’s roughness coefficient for the Doce River |
title |
Manning’s roughness coefficient for the Doce River |
spellingShingle |
Manning’s roughness coefficient for the Doce River Teixeira,Emmanuel Kennedy da Costa Uncertainties in the roughness coefficient Hydraulic modeling Monte Carlo simulation |
title_short |
Manning’s roughness coefficient for the Doce River |
title_full |
Manning’s roughness coefficient for the Doce River |
title_fullStr |
Manning’s roughness coefficient for the Doce River |
title_full_unstemmed |
Manning’s roughness coefficient for the Doce River |
title_sort |
Manning’s roughness coefficient for the Doce River |
author |
Teixeira,Emmanuel Kennedy da Costa |
author_facet |
Teixeira,Emmanuel Kennedy da Costa Coelho,Márcia Maria Lara Pinto Pinto,Eber José de Andrade Diniz,Jéssica Guimarães Saliba,Aloysio Portugal Maia |
author_role |
author |
author2 |
Coelho,Márcia Maria Lara Pinto Pinto,Eber José de Andrade Diniz,Jéssica Guimarães Saliba,Aloysio Portugal Maia |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Teixeira,Emmanuel Kennedy da Costa Coelho,Márcia Maria Lara Pinto Pinto,Eber José de Andrade Diniz,Jéssica Guimarães Saliba,Aloysio Portugal Maia |
dc.subject.por.fl_str_mv |
Uncertainties in the roughness coefficient Hydraulic modeling Monte Carlo simulation |
topic |
Uncertainties in the roughness coefficient Hydraulic modeling Monte Carlo simulation |
description |
ABSTRACT The Manning’s roughness coefficient is used for various hydraulic modeling. However, the decision on what value to adopt is a complex task, especially when dealing with natural water courses due to the various factors that affect this coefficient. For this reason, most of the studies carried out on the subject adopt a local approach, such as this proposal for the Doce River. Due to the regional importance of this river in Brazil, the objective of this article was to estimate the roughness coefficient of Manning along the river, in order to aid in hydraulic simulations, as well as to discuss the uncertainties and variations associated with this value. For this purpose, information on flow rates and water depths were collected at river flow stations along the river. With this information, the coefficients were calculated using the Manning equation, using the software Canal, and their space-time variations were observed. In addition, it was observed that the uncertainties in flow and depth measurements affect the value of the Manning coefficient in the case studied. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312018000100245 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312018000100245 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/2318-0331.231820180013 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Recursos Hídricos |
publisher.none.fl_str_mv |
Associação Brasileira de Recursos Hídricos |
dc.source.none.fl_str_mv |
RBRH v.23 2018 reponame:RBRH (Online) instname:Associação Brasileira de Recursos Hídricos (ABRH) instacron:ABRH |
instname_str |
Associação Brasileira de Recursos Hídricos (ABRH) |
instacron_str |
ABRH |
institution |
ABRH |
reponame_str |
RBRH (Online) |
collection |
RBRH (Online) |
repository.name.fl_str_mv |
RBRH (Online) - Associação Brasileira de Recursos Hídricos (ABRH) |
repository.mail.fl_str_mv |
||rbrh@abrh.org.br |
_version_ |
1754734701839384576 |