Hydrological modeling in a basin of the Brazilian Cerrado biome
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Ambiente & Água |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2021000100315 |
Resumo: | Abstract The Brazilian Cerrado biome (BCB) is among 25 biodiversity hotspots identified worldwide, and covers the recharge area of important aquifers and rivers in South America. The increase in deforestation has been threatening water availability in this region. In order to assist in the water-resource management of the BCB, this study models the daily streamflow in a basin of the Cerrado, using two approaches: a process-based model (Soil and Water Assessment Tool - SWAT) and the data-driven model (Artificial Neural Network - ANN). The performance of the models was evaluated by the Nash-Sutcliffe coefficient (NSE), coefficient of determination (R2) and flow-duration-curves (FDC). The results indicate that SWAT (NSE > 0.61; R2 > 0.68) and ANN (NSE > 0.91; R2 > 0.79) models are suitable tools in daily streamflow modeling of the studied basin, with the ANN model being the most accurate. Based on FDC, the ANN model was also better than the SWAT model for all frequencies evaluated. Thus, the ANN model is a promising new approach for daily streamflow modelling in this region. Moreover, the results of this study can help water-resource managers in planning and implementing appropriate water allocation and conservation measures in the Brazilian Cerrado biome. |
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Hydrological modeling in a basin of the Brazilian Cerrado biomebrazilian savannahhydrologic modelwater resourcesAbstract The Brazilian Cerrado biome (BCB) is among 25 biodiversity hotspots identified worldwide, and covers the recharge area of important aquifers and rivers in South America. The increase in deforestation has been threatening water availability in this region. In order to assist in the water-resource management of the BCB, this study models the daily streamflow in a basin of the Cerrado, using two approaches: a process-based model (Soil and Water Assessment Tool - SWAT) and the data-driven model (Artificial Neural Network - ANN). The performance of the models was evaluated by the Nash-Sutcliffe coefficient (NSE), coefficient of determination (R2) and flow-duration-curves (FDC). The results indicate that SWAT (NSE > 0.61; R2 > 0.68) and ANN (NSE > 0.91; R2 > 0.79) models are suitable tools in daily streamflow modeling of the studied basin, with the ANN model being the most accurate. Based on FDC, the ANN model was also better than the SWAT model for all frequencies evaluated. Thus, the ANN model is a promising new approach for daily streamflow modelling in this region. Moreover, the results of this study can help water-resource managers in planning and implementing appropriate water allocation and conservation measures in the Brazilian Cerrado biome.Instituto de Pesquisas Ambientais em Bacias Hidrográficas2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2021000100315Revista Ambiente & Água v.16 n.1 2021reponame:Revista Ambiente & Águainstname:Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)instacron:IPABHI10.4136/ambi-agua.2639info:eu-repo/semantics/openAccessRodrigues,Jéssica Assaid MartinsAndrade,Alberto Carlos de OliveiraViola,Marcelo RibeiroFerreira,Danton DiegoMello,Carlos Rogério deThebaldi,Michael Silveiraeng2021-02-19T00:00:00Zoai:scielo:S1980-993X2021000100315Revistahttp://www.ambi-agua.net/PUBhttps://old.scielo.br/oai/scielo-oai.php||ambi.agua@gmail.com1980-993X1980-993Xopendoar:2021-02-19T00:00Revista Ambiente & Água - Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)false |
dc.title.none.fl_str_mv |
Hydrological modeling in a basin of the Brazilian Cerrado biome |
title |
Hydrological modeling in a basin of the Brazilian Cerrado biome |
spellingShingle |
Hydrological modeling in a basin of the Brazilian Cerrado biome Rodrigues,Jéssica Assaid Martins brazilian savannah hydrologic model water resources |
title_short |
Hydrological modeling in a basin of the Brazilian Cerrado biome |
title_full |
Hydrological modeling in a basin of the Brazilian Cerrado biome |
title_fullStr |
Hydrological modeling in a basin of the Brazilian Cerrado biome |
title_full_unstemmed |
Hydrological modeling in a basin of the Brazilian Cerrado biome |
title_sort |
Hydrological modeling in a basin of the Brazilian Cerrado biome |
author |
Rodrigues,Jéssica Assaid Martins |
author_facet |
Rodrigues,Jéssica Assaid Martins Andrade,Alberto Carlos de Oliveira Viola,Marcelo Ribeiro Ferreira,Danton Diego Mello,Carlos Rogério de Thebaldi,Michael Silveira |
author_role |
author |
author2 |
Andrade,Alberto Carlos de Oliveira Viola,Marcelo Ribeiro Ferreira,Danton Diego Mello,Carlos Rogério de Thebaldi,Michael Silveira |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Rodrigues,Jéssica Assaid Martins Andrade,Alberto Carlos de Oliveira Viola,Marcelo Ribeiro Ferreira,Danton Diego Mello,Carlos Rogério de Thebaldi,Michael Silveira |
dc.subject.por.fl_str_mv |
brazilian savannah hydrologic model water resources |
topic |
brazilian savannah hydrologic model water resources |
description |
Abstract The Brazilian Cerrado biome (BCB) is among 25 biodiversity hotspots identified worldwide, and covers the recharge area of important aquifers and rivers in South America. The increase in deforestation has been threatening water availability in this region. In order to assist in the water-resource management of the BCB, this study models the daily streamflow in a basin of the Cerrado, using two approaches: a process-based model (Soil and Water Assessment Tool - SWAT) and the data-driven model (Artificial Neural Network - ANN). The performance of the models was evaluated by the Nash-Sutcliffe coefficient (NSE), coefficient of determination (R2) and flow-duration-curves (FDC). The results indicate that SWAT (NSE > 0.61; R2 > 0.68) and ANN (NSE > 0.91; R2 > 0.79) models are suitable tools in daily streamflow modeling of the studied basin, with the ANN model being the most accurate. Based on FDC, the ANN model was also better than the SWAT model for all frequencies evaluated. Thus, the ANN model is a promising new approach for daily streamflow modelling in this region. Moreover, the results of this study can help water-resource managers in planning and implementing appropriate water allocation and conservation measures in the Brazilian Cerrado biome. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 |
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=S1980-993X2021000100315 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2021000100315 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.4136/ambi-agua.2639 |
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 |
Instituto de Pesquisas Ambientais em Bacias Hidrográficas |
publisher.none.fl_str_mv |
Instituto de Pesquisas Ambientais em Bacias Hidrográficas |
dc.source.none.fl_str_mv |
Revista Ambiente & Água v.16 n.1 2021 reponame:Revista Ambiente & Água instname:Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI) instacron:IPABHI |
instname_str |
Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI) |
instacron_str |
IPABHI |
institution |
IPABHI |
reponame_str |
Revista Ambiente & Água |
collection |
Revista Ambiente & Água |
repository.name.fl_str_mv |
Revista Ambiente & Água - Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI) |
repository.mail.fl_str_mv |
||ambi.agua@gmail.com |
_version_ |
1752129751626022912 |