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: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/49363
Resumo: 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.
id UFLA_944210973b724b4f8fafe2f20b9c7e1c
oai_identifier_str oai:localhost:1/49363
network_acronym_str UFLA
network_name_str Repositório Institucional da UFLA
repository_id_str
spelling Hydrological modeling in a basin of the Brazilian Cerrado biomeModelagem hidrológica em uma bacia do bioma Cerrado brasileiroBrazilian savannahHydrologic modelWater resourcesModelo hidrológicoRecursos hídricosSavana brasileiraThe 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.O bioma Cerrado brasileiro (BCB) está entre os 25 hotspots de biodiversidade identificados em todo o mundo, e abrange a área de recarga de importantes aqüíferos e rios da América do Sul. O aumento do desmatamento vem ameaçando a disponibilidade de água na região. A fim de auxiliar na gestão dos recursos hídricos da BCB, este estudo tem como objetivo modelar a vazão diária em uma bacia do Cerrado, utilizando duas abordagens: um modelo baseado em processo (Soil and Water Assessment Tool - SWAT) e um modelo orientado por dados (Artificial Neural Network - ANN). O desempenho dos modelos foi avaliado pelo coeficiente de Nash-Sutcliffe (NSE), coeficiente de determinação (R2) e curvas de duração de fluxo (FDC). Os resultados indicam que os modelos SWAT (NSE > 0,61; R2 > 0,68) e ANN (NSE > 0,91; R2 > 0,79) são ferramentas adequadas na modelagem diária de vazões da bacia estudada, sendo o modelo ANN o mais preciso. Com base no FDC, o modelo ANN também foi melhor do que o modelo SWAT para todas as frequências avaliadas. Assim, o modelo ANN é uma nova abordagem promissora para modelagem de fluxo diário nesta região. Além disso, os resultados deste estudo podem ajudar os gestores de recursos hídricos no planejamento e implementação de medidas adequadas de alocação e conservação de água no bioma Cerrado brasileiro.Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi)2022-02-16T22:41:12Z2022-02-16T22:41:12Z2021-02info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfRODRIGUES, J. A. M. et al. Hydrological modeling in a basin of the Brazilian Cerrado biome. Revista Ambiente & Água, Taubaté, v. 16, n. 1, e2639, 2021. DOI: 10.4136/ambi-agua.2639.http://repositorio.ufla.br/jspui/handle/1/49363Revista Ambiente & Águareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessRodrigues, Jéssica Assaid MartinsAndrade, Alberto Carlos de OliveiraViola, Marcelo RibeiroFerreira, Danton DiegoMello, Carlos Rogério deThebaldi, Michael Silveiraeng2023-05-03T11:44:35Zoai:localhost:1/49363Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-03T11:44:35Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Hydrological modeling in a basin of the Brazilian Cerrado biome
Modelagem hidrológica em uma bacia do bioma Cerrado brasileiro
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
Modelo hidrológico
Recursos hídricos
Savana brasileira
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
Modelo hidrológico
Recursos hídricos
Savana brasileira
topic Brazilian savannah
Hydrologic model
Water resources
Modelo hidrológico
Recursos hídricos
Savana brasileira
description 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 2021-02
2022-02-16T22:41:12Z
2022-02-16T22:41:12Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv RODRIGUES, J. A. M. et al. Hydrological modeling in a basin of the Brazilian Cerrado biome. Revista Ambiente & Água, Taubaté, v. 16, n. 1, e2639, 2021. DOI: 10.4136/ambi-agua.2639.
http://repositorio.ufla.br/jspui/handle/1/49363
identifier_str_mv RODRIGUES, J. A. M. et al. Hydrological modeling in a basin of the Brazilian Cerrado biome. Revista Ambiente & Água, Taubaté, v. 16, n. 1, e2639, 2021. DOI: 10.4136/ambi-agua.2639.
url http://repositorio.ufla.br/jspui/handle/1/49363
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi)
publisher.none.fl_str_mv Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi)
dc.source.none.fl_str_mv Revista Ambiente & Água
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
_version_ 1807835175374028800

Registros relacionados