Performance of the SEBAL algorithm for flow estimation in watersheds of Brazilian Savannah

Detalhes bibliográficos
Autor(a) principal: Martins, Alécio Perini
Data de Publicação: 2020
Outros Autores: Galvani, Emerson
Tipo de documento: Artigo
Idioma: por
eng
Título da fonte: Sociedade & natureza (Online)
Texto Completo: https://seer.ufu.br/index.php/sociedadenatureza/article/view/53169
Resumo: Studies of the variables making up the radiation balance are essential in climatology, mainly to understand the dynamics of the hydrologic cycle. Decreases in rainfall can be linked to changes in actual evapotranspiration values on the surface, since changes in land use modify the albedo, the vegetation index, and the surface temperature. The objective of the present study was to evaluate the performance of the Surface Energy Balance Algorithm for Land algorithm in estimating the annual flow in watersheds located in the Brazilian savanna, considered as the simplified result of subtracting the values of rainfall from actual evapotranspiration. The algorithm allows estimation of flows for watersheds that do not have monitoring points, contributing to studies of water availability in large regions that are difficult to access. The results showed a correlation coefficient of 0.99 and a coefficient of determination of 0.99 between annual flows estimated according to categories of use and coverage of land and flows observed at fluviometric stations, with a performance of 99%, indicating the applicability of the model to estimate flows in areas without monitoring points. For the monthly flows estimated from information recorded by INMET automatic stations, there is a considerable effect of seasonality, with a record of negative values in the dry period. Despite this, the estimated flows showed a correlation of 0.80 with the observed values, with a performance of 89%. On average, flows in the studied watersheds account for 20% of total rainfall volume, which is an underestimate in comparison with values measured in the field, with an average error of -0.5898 m³/s/m².
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spelling Performance of the SEBAL algorithm for flow estimation in watersheds of Brazilian SavannahDesempenho do algoritmo SEBAL para estimativa de vazão em bacias hidrográficas do Cerrado BrasileiroModelagem ambiental.Geotecnologias.Balanço de radiação.Evapotranspiração.Environmental modeling.Geotechnologies.Radiation Balance.Evapotranspiration.Studies of the variables making up the radiation balance are essential in climatology, mainly to understand the dynamics of the hydrologic cycle. Decreases in rainfall can be linked to changes in actual evapotranspiration values on the surface, since changes in land use modify the albedo, the vegetation index, and the surface temperature. The objective of the present study was to evaluate the performance of the Surface Energy Balance Algorithm for Land algorithm in estimating the annual flow in watersheds located in the Brazilian savanna, considered as the simplified result of subtracting the values of rainfall from actual evapotranspiration. The algorithm allows estimation of flows for watersheds that do not have monitoring points, contributing to studies of water availability in large regions that are difficult to access. The results showed a correlation coefficient of 0.99 and a coefficient of determination of 0.99 between annual flows estimated according to categories of use and coverage of land and flows observed at fluviometric stations, with a performance of 99%, indicating the applicability of the model to estimate flows in areas without monitoring points. For the monthly flows estimated from information recorded by INMET automatic stations, there is a considerable effect of seasonality, with a record of negative values in the dry period. Despite this, the estimated flows showed a correlation of 0.80 with the observed values, with a performance of 89%. On average, flows in the studied watersheds account for 20% of total rainfall volume, which is an underestimate in comparison with values measured in the field, with an average error of -0.5898 m³/s/m².O estudo das variáveis componentes do Balanço de Radiação, bem como valores derivados de fluxo de calor e evapotranspiração são fundamentais em climatologia, principalmente para compreender a dinâmica do ciclo hidrológico. A diminuição das chuvas pode estar relacionada à mudança nos valores de evapotranspiração real em superfície, visto que mudanças no uso da terra como a conversão de florestas em pastagens alteram o albedo, o índice de vegetação e a temperatura de superfície. Neste sentido, estudos com foco nos efeitos das mudanças ambientais sobre os fluxos de energia na superfície são fundamentais para a conservação dos recursos hídricos e, consequentemente, da vida na Terra. A pesquisa tem como objetivo avaliar o desempenho do algoritmo SEBAL (Surface Energy Balance Algorithms for Land) para a estimativa de vazão anual em bacias hidrográficas situadas no Cerrado Brasileiro considerando esta ser o resultado simplificado da subtração entre os valores de precipitação e evapotranspiração real. Permite, deste modo, a estimativa de vazão para bacias hidrográficas que não dispõem de pontos de monitoramento, contribuindo com estudos sobre disponibilidade hídrica em regiões extensas e de difícil acesso. Os resultados demonstraram correlação de 0,99 e coeficiente de determinação de 0,99 entre vazões anuais estimadas de acordo com as categorias de uso e cobertura da terra e vazões observadas em estações fluviométricas, com desempenho de 99%, constatando a aplicabilidade do modelo para estimativa de vazões em áreas sem pontos de monitoramento. Para as vazões mensais estimadas a partir de informações registradas por estações automáticas do INMET, nota-se considerável efeito da sazonalidade, com registro de valores negativos no período seco. Apesar disso, as vazões estimadas apresentaram correlação de 0,80 com os valores observados, com desempenho de 89%. Em média, as vazões nas bacias estudadas corresponde a 20% do total do volume precipitado apresentando subestimativa em relação aos valores aferidos em campo, com erro médio de -0,5898 m³/s/m².Universidade Federal de Uberlândia2020-09-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://seer.ufu.br/index.php/sociedadenatureza/article/view/5316910.14393/SN-v32-2020-53169Sociedade & Natureza; Vol. 32 (2020); 687-698Sociedade & Natureza; v. 32 (2020); 687-6981982-45130103-1570reponame:Sociedade & natureza (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUporenghttps://seer.ufu.br/index.php/sociedadenatureza/article/view/53169/30030https://seer.ufu.br/index.php/sociedadenatureza/article/view/53169/30041Copyright (c) 2020 Alécio Perini Martins, Emerson Galvaniinfo:eu-repo/semantics/openAccessMartins, Alécio PeriniGalvani, Emerson2021-07-01T16:18:20Zoai:ojs.www.seer.ufu.br:article/53169Revistahttp://www.sociedadenatureza.ig.ufu.br/PUBhttps://seer.ufu.br/index.php/sociedadenatureza/oai||sociedade.natureza.ufu@gmail.com|| lucianamelo@ufu.br1982-45130103-1570opendoar:2021-07-01T16:18:20Sociedade & natureza (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Performance of the SEBAL algorithm for flow estimation in watersheds of Brazilian Savannah
Desempenho do algoritmo SEBAL para estimativa de vazão em bacias hidrográficas do Cerrado Brasileiro
title Performance of the SEBAL algorithm for flow estimation in watersheds of Brazilian Savannah
spellingShingle Performance of the SEBAL algorithm for flow estimation in watersheds of Brazilian Savannah
Martins, Alécio Perini
Modelagem ambiental.
Geotecnologias.
Balanço de radiação.
Evapotranspiração.
Environmental modeling.
Geotechnologies.
Radiation Balance.
Evapotranspiration.
title_short Performance of the SEBAL algorithm for flow estimation in watersheds of Brazilian Savannah
title_full Performance of the SEBAL algorithm for flow estimation in watersheds of Brazilian Savannah
title_fullStr Performance of the SEBAL algorithm for flow estimation in watersheds of Brazilian Savannah
title_full_unstemmed Performance of the SEBAL algorithm for flow estimation in watersheds of Brazilian Savannah
title_sort Performance of the SEBAL algorithm for flow estimation in watersheds of Brazilian Savannah
author Martins, Alécio Perini
author_facet Martins, Alécio Perini
Galvani, Emerson
author_role author
author2 Galvani, Emerson
author2_role author
dc.contributor.author.fl_str_mv Martins, Alécio Perini
Galvani, Emerson
dc.subject.por.fl_str_mv Modelagem ambiental.
Geotecnologias.
Balanço de radiação.
Evapotranspiração.
Environmental modeling.
Geotechnologies.
Radiation Balance.
Evapotranspiration.
topic Modelagem ambiental.
Geotecnologias.
Balanço de radiação.
Evapotranspiração.
Environmental modeling.
Geotechnologies.
Radiation Balance.
Evapotranspiration.
description Studies of the variables making up the radiation balance are essential in climatology, mainly to understand the dynamics of the hydrologic cycle. Decreases in rainfall can be linked to changes in actual evapotranspiration values on the surface, since changes in land use modify the albedo, the vegetation index, and the surface temperature. The objective of the present study was to evaluate the performance of the Surface Energy Balance Algorithm for Land algorithm in estimating the annual flow in watersheds located in the Brazilian savanna, considered as the simplified result of subtracting the values of rainfall from actual evapotranspiration. The algorithm allows estimation of flows for watersheds that do not have monitoring points, contributing to studies of water availability in large regions that are difficult to access. The results showed a correlation coefficient of 0.99 and a coefficient of determination of 0.99 between annual flows estimated according to categories of use and coverage of land and flows observed at fluviometric stations, with a performance of 99%, indicating the applicability of the model to estimate flows in areas without monitoring points. For the monthly flows estimated from information recorded by INMET automatic stations, there is a considerable effect of seasonality, with a record of negative values in the dry period. Despite this, the estimated flows showed a correlation of 0.80 with the observed values, with a performance of 89%. On average, flows in the studied watersheds account for 20% of total rainfall volume, which is an underestimate in comparison with values measured in the field, with an average error of -0.5898 m³/s/m².
publishDate 2020
dc.date.none.fl_str_mv 2020-09-28
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/sociedadenatureza/article/view/53169
10.14393/SN-v32-2020-53169
url https://seer.ufu.br/index.php/sociedadenatureza/article/view/53169
identifier_str_mv 10.14393/SN-v32-2020-53169
dc.language.iso.fl_str_mv por
eng
language por
eng
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/sociedadenatureza/article/view/53169/30030
https://seer.ufu.br/index.php/sociedadenatureza/article/view/53169/30041
dc.rights.driver.fl_str_mv Copyright (c) 2020 Alécio Perini Martins, Emerson Galvani
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Alécio Perini Martins, Emerson Galvani
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Uberlândia
publisher.none.fl_str_mv Universidade Federal de Uberlândia
dc.source.none.fl_str_mv Sociedade & Natureza; Vol. 32 (2020); 687-698
Sociedade & Natureza; v. 32 (2020); 687-698
1982-4513
0103-1570
reponame:Sociedade & natureza (Online)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Sociedade & natureza (Online)
collection Sociedade & natureza (Online)
repository.name.fl_str_mv Sociedade & natureza (Online) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv ||sociedade.natureza.ufu@gmail.com|| lucianamelo@ufu.br
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