Hydrological modeling in a basin of the Brazilian Cerrado biome

Detalhes bibliográficos
Autor(a) principal: Rodrigues,Jéssica Assaid Martins
Data de Publicação: 2021
Outros Autores: Andrade,Alberto Carlos de Oliveira, Viola,Marcelo Ribeiro, Ferreira,Danton Diego, Mello,Carlos Rogério de, Thebaldi,Michael Silveira
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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spelling 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
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2021000100315
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.4136/ambi-agua.2639
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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)
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repository.name.fl_str_mv Revista Ambiente & Água - Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)
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