Manning’s roughness coefficient for the Doce River
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 carri...
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Format: | Article |
Language: | English |
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Associação Brasileira de Recursos Hídricos
2018-10-01
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Series: | Revista Brasileira de Recursos Hídricos |
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Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312018000100245&tlng=en |
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author | Emmanuel Kennedy da Costa Teixeira Márcia Maria Lara Pinto Coelho Eber José de Andrade Pinto Jéssica Guimarães Diniz Aloysio Portugal Maia Saliba |
author_facet | Emmanuel Kennedy da Costa Teixeira Márcia Maria Lara Pinto Coelho Eber José de Andrade Pinto Jéssica Guimarães Diniz Aloysio Portugal Maia Saliba |
author_sort | Emmanuel Kennedy da Costa Teixeira |
collection | DOAJ |
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. |
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format | Article |
id | doaj.art-dd6033ed193c420fb3032e63a700b1c7 |
institution | Directory Open Access Journal |
issn | 2318-0331 |
language | English |
last_indexed | 2024-12-20T09:35:39Z |
publishDate | 2018-10-01 |
publisher | Associação Brasileira de Recursos Hídricos |
record_format | Article |
series | Revista Brasileira de Recursos Hídricos |
spelling | doaj.art-dd6033ed193c420fb3032e63a700b1c72022-12-21T19:45:01ZengAssociação Brasileira de Recursos HídricosRevista Brasileira de Recursos Hídricos2318-03312018-10-012310.1590/2318-0331.231820180013Manning’s roughness coefficient for the Doce RiverEmmanuel Kennedy da Costa TeixeiraMárcia Maria Lara Pinto CoelhoEber José de Andrade PintoJéssica Guimarães DinizAloysio Portugal Maia SalibaABSTRACT 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312018000100245&tlng=enUncertainties in the roughness coefficientHydraulic modelingMonte Carlo simulation |
spellingShingle | Emmanuel Kennedy da Costa Teixeira Márcia Maria Lara Pinto Coelho Eber José de Andrade Pinto Jéssica Guimarães Diniz Aloysio Portugal Maia Saliba Manning’s roughness coefficient for the Doce River Revista Brasileira de Recursos Hídricos Uncertainties in the roughness coefficient Hydraulic modeling Monte Carlo simulation |
title | 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_short | Manning’s roughness coefficient for the Doce River |
title_sort | manning s roughness coefficient for the doce river |
topic | Uncertainties in the roughness coefficient Hydraulic modeling Monte Carlo simulation |
url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312018000100245&tlng=en |
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