Application of SAC-SMA and IPH II hydrological models in the Teles Pires River basin, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2019 |
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=S2318-03312019000100215 |
Resumo: | ABSTRACT Parameterization and performance analysis of a hydrological model allow its consolidation, so that water-resource management strategies could be evaluated and extreme events forecast. In this context, this study aimed to evaluate the performance of the Sacramento Soil Moisture Accounting (SAC-SMA) and IPH II models for runoff estimation in the Teles Pires River basin, which is located in the Amazon region, State of Mato Grosso, Brazil. Both models were automatically calibrated using Shuffled Complex Evolution algorithm (SCE-UA) and validated for five runoff monitoring units. Our results showed that both are suitable for daily runoff modeling in the Teles Pires River basin with higher performance in larger drainage area basins. We can also infer that the simple use of complex rainfall-runoff models might not provide improved estimates. Although the SAC-SMA is the most complex and detailed model for hydrological processes, it has not outperformed IPH II in any of the monitoring units in the Teles Pires River. |
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Application of SAC-SMA and IPH II hydrological models in the Teles Pires River basin, BrazilRainfall-runoffConcentrated modelsPlanning of water resourcesRunoff forecastABSTRACT Parameterization and performance analysis of a hydrological model allow its consolidation, so that water-resource management strategies could be evaluated and extreme events forecast. In this context, this study aimed to evaluate the performance of the Sacramento Soil Moisture Accounting (SAC-SMA) and IPH II models for runoff estimation in the Teles Pires River basin, which is located in the Amazon region, State of Mato Grosso, Brazil. Both models were automatically calibrated using Shuffled Complex Evolution algorithm (SCE-UA) and validated for five runoff monitoring units. Our results showed that both are suitable for daily runoff modeling in the Teles Pires River basin with higher performance in larger drainage area basins. We can also infer that the simple use of complex rainfall-runoff models might not provide improved estimates. Although the SAC-SMA is the most complex and detailed model for hydrological processes, it has not outperformed IPH II in any of the monitoring units in the Teles Pires River.Associação Brasileira de Recursos Hídricos2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312019000100215RBRH v.24 2019reponame:RBRH (Online)instname:Associação Brasileira de Recursos Hídricos (ABRH)instacron:ABRH10.1590/2318-0331.241920180082info:eu-repo/semantics/openAccessUliana,Eduardo MorganAlmeida,Frederico Terra deSouza,Adilson Pacheco deCruz,Ibraim Fantin daLisboa,LuanaSousa Júnior,Marionei Fomaca deeng2019-04-09T00:00:00Zoai:scielo:S2318-03312019000100215Revistahttps://www.scielo.br/j/rbrh/https://old.scielo.br/oai/scielo-oai.php||rbrh@abrh.org.br2318-03311414-381Xopendoar:2019-04-09T00:00RBRH (Online) - Associação Brasileira de Recursos Hídricos (ABRH)false |
dc.title.none.fl_str_mv |
Application of SAC-SMA and IPH II hydrological models in the Teles Pires River basin, Brazil |
title |
Application of SAC-SMA and IPH II hydrological models in the Teles Pires River basin, Brazil |
spellingShingle |
Application of SAC-SMA and IPH II hydrological models in the Teles Pires River basin, Brazil Uliana,Eduardo Morgan Rainfall-runoff Concentrated models Planning of water resources Runoff forecast |
title_short |
Application of SAC-SMA and IPH II hydrological models in the Teles Pires River basin, Brazil |
title_full |
Application of SAC-SMA and IPH II hydrological models in the Teles Pires River basin, Brazil |
title_fullStr |
Application of SAC-SMA and IPH II hydrological models in the Teles Pires River basin, Brazil |
title_full_unstemmed |
Application of SAC-SMA and IPH II hydrological models in the Teles Pires River basin, Brazil |
title_sort |
Application of SAC-SMA and IPH II hydrological models in the Teles Pires River basin, Brazil |
author |
Uliana,Eduardo Morgan |
author_facet |
Uliana,Eduardo Morgan Almeida,Frederico Terra de Souza,Adilson Pacheco de Cruz,Ibraim Fantin da Lisboa,Luana Sousa Júnior,Marionei Fomaca de |
author_role |
author |
author2 |
Almeida,Frederico Terra de Souza,Adilson Pacheco de Cruz,Ibraim Fantin da Lisboa,Luana Sousa Júnior,Marionei Fomaca de |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Uliana,Eduardo Morgan Almeida,Frederico Terra de Souza,Adilson Pacheco de Cruz,Ibraim Fantin da Lisboa,Luana Sousa Júnior,Marionei Fomaca de |
dc.subject.por.fl_str_mv |
Rainfall-runoff Concentrated models Planning of water resources Runoff forecast |
topic |
Rainfall-runoff Concentrated models Planning of water resources Runoff forecast |
description |
ABSTRACT Parameterization and performance analysis of a hydrological model allow its consolidation, so that water-resource management strategies could be evaluated and extreme events forecast. In this context, this study aimed to evaluate the performance of the Sacramento Soil Moisture Accounting (SAC-SMA) and IPH II models for runoff estimation in the Teles Pires River basin, which is located in the Amazon region, State of Mato Grosso, Brazil. Both models were automatically calibrated using Shuffled Complex Evolution algorithm (SCE-UA) and validated for five runoff monitoring units. Our results showed that both are suitable for daily runoff modeling in the Teles Pires River basin with higher performance in larger drainage area basins. We can also infer that the simple use of complex rainfall-runoff models might not provide improved estimates. Although the SAC-SMA is the most complex and detailed model for hydrological processes, it has not outperformed IPH II in any of the monitoring units in the Teles Pires River. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-01-01 |
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=S2318-03312019000100215 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312019000100215 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/2318-0331.241920180082 |
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.24 2019 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_ |
1754734701883424768 |