Evaluation of Methods for Reference Evapotranspiration Estimation for Irrigation Water Management
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Anuário do Instituto de Geociências (Online) |
Texto Completo: | https://revistas.ufrj.br/index.php/aigeo/article/view/7861 |
Resumo: | Knowledge of the evapotranspiration is very important regarding activities connected to water management of the irrigated agriculture. The equation of Penman-Monteith FAO56 has been recommended by FAO, the Food and Agriculture Organization of the United Nations, as the standard for estimating reference evapotranspiration (ETo). But this equation requires many variables that are not available at most weather stations in Brazil. Therefore, the aim of this study was to analyze five empirical methods to estimate reference evapotranspiration (ETo) and compare then with the Penman-Monteith FAO56 for the climatic conditions in the city of Piraí do Sul, Paraná state, Brazil. The meteorological data were measured for the period 04/07/2008 to 12/10/2008 for an automatic weather station during the growing season of wheat crop. The results shows that, for the climatic conditions of the studied location, the best methods to estimate reference evapotranspiration were: Solar Radiation, Jensen-Haise and Makkink. The worst performance were presented by the method of Hargreaves-Samani, followed by the method of Camargo. |
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Anuário do Instituto de Geociências (Online) |
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Evaluation of Methods for Reference Evapotranspiration Estimation for Irrigation Water ManagementAvaliação de Métodos de Estimativa da Evapotranspiração de Referência para Fins de Manejo da IrrigaçãoAgrometeorology; Reference evapotranspiration; Irrigation water managementAgrometeorologia; Evapotranspiração de Referência; Avaliação de Métodos; Manejo da IrrigaçãoKnowledge of the evapotranspiration is very important regarding activities connected to water management of the irrigated agriculture. The equation of Penman-Monteith FAO56 has been recommended by FAO, the Food and Agriculture Organization of the United Nations, as the standard for estimating reference evapotranspiration (ETo). But this equation requires many variables that are not available at most weather stations in Brazil. Therefore, the aim of this study was to analyze five empirical methods to estimate reference evapotranspiration (ETo) and compare then with the Penman-Monteith FAO56 for the climatic conditions in the city of Piraí do Sul, Paraná state, Brazil. The meteorological data were measured for the period 04/07/2008 to 12/10/2008 for an automatic weather station during the growing season of wheat crop. The results shows that, for the climatic conditions of the studied location, the best methods to estimate reference evapotranspiration were: Solar Radiation, Jensen-Haise and Makkink. The worst performance were presented by the method of Hargreaves-Samani, followed by the method of Camargo.O conhecimento da evapotranspiração das culturas é muito importante para o manejo da irrigação. A equação FAO56 Penman-Monteith tem sido recomendada pela FAO (Food and Agriculture Organization of the United Nations) como método padrão para a estimativa da evapotranspiração de referência (ETo). Entretanto, esse método requer variáveis meteorológicas que em geral não são medidas nas estações meteorológicas no Brasil. Por isso, o objetivo deste estudo foi avaliar cinco métodos empíricos e comparar seus desempenhos com o de Penman-Monteith para as condições climáticas da região de Piraí do Sul no Estado do Paraná. Para tanto, foram utilizados dados meteorológicos registrados por uma plataforma de coleta de dados durante o período de 04/07/2008 a 12/10/2008 em uma cultura de trigo. Os resultados indicam que a ETo pode ser estimada adequadamente pelos métodos da Radiação Solar, Jensen-Haise e Makkink. O pior desempenho foi apresentado pelo método de Hargreaves-Samani, seguido do método de Camargo.Universidade Federal do Rio de Janeiro2017-02-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufrj.br/index.php/aigeo/article/view/786110.11137/2016_1_42_51Anuário do Instituto de Geociências; Vol 39, No 1 (2016); 42-51Anuário do Instituto de Geociências; Vol 39, No 1 (2016); 42-511982-39080101-9759reponame:Anuário do Instituto de Geociências (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJporhttps://revistas.ufrj.br/index.php/aigeo/article/view/7861/6342Copyright (c) 2016 Anuário do Instituto de Geociênciashttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessPaiva, Célia MariaSouza, Alexandre da Silva Pinheiro de2017-02-15T18:21:34Zoai:www.revistas.ufrj.br:article/7861Revistahttps://revistas.ufrj.br/index.php/aigeo/indexPUBhttps://revistas.ufrj.br/index.php/aigeo/oaianuario@igeo.ufrj.br||1982-39080101-9759opendoar:2017-02-15T18:21:34Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)false |
dc.title.none.fl_str_mv |
Evaluation of Methods for Reference Evapotranspiration Estimation for Irrigation Water Management Avaliação de Métodos de Estimativa da Evapotranspiração de Referência para Fins de Manejo da Irrigação |
title |
Evaluation of Methods for Reference Evapotranspiration Estimation for Irrigation Water Management |
spellingShingle |
Evaluation of Methods for Reference Evapotranspiration Estimation for Irrigation Water Management Paiva, Célia Maria Agrometeorology; Reference evapotranspiration; Irrigation water management Agrometeorologia; Evapotranspiração de Referência; Avaliação de Métodos; Manejo da Irrigação |
title_short |
Evaluation of Methods for Reference Evapotranspiration Estimation for Irrigation Water Management |
title_full |
Evaluation of Methods for Reference Evapotranspiration Estimation for Irrigation Water Management |
title_fullStr |
Evaluation of Methods for Reference Evapotranspiration Estimation for Irrigation Water Management |
title_full_unstemmed |
Evaluation of Methods for Reference Evapotranspiration Estimation for Irrigation Water Management |
title_sort |
Evaluation of Methods for Reference Evapotranspiration Estimation for Irrigation Water Management |
author |
Paiva, Célia Maria |
author_facet |
Paiva, Célia Maria Souza, Alexandre da Silva Pinheiro de |
author_role |
author |
author2 |
Souza, Alexandre da Silva Pinheiro de |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Paiva, Célia Maria Souza, Alexandre da Silva Pinheiro de |
dc.subject.por.fl_str_mv |
Agrometeorology; Reference evapotranspiration; Irrigation water management Agrometeorologia; Evapotranspiração de Referência; Avaliação de Métodos; Manejo da Irrigação |
topic |
Agrometeorology; Reference evapotranspiration; Irrigation water management Agrometeorologia; Evapotranspiração de Referência; Avaliação de Métodos; Manejo da Irrigação |
description |
Knowledge of the evapotranspiration is very important regarding activities connected to water management of the irrigated agriculture. The equation of Penman-Monteith FAO56 has been recommended by FAO, the Food and Agriculture Organization of the United Nations, as the standard for estimating reference evapotranspiration (ETo). But this equation requires many variables that are not available at most weather stations in Brazil. Therefore, the aim of this study was to analyze five empirical methods to estimate reference evapotranspiration (ETo) and compare then with the Penman-Monteith FAO56 for the climatic conditions in the city of Piraí do Sul, Paraná state, Brazil. The meteorological data were measured for the period 04/07/2008 to 12/10/2008 for an automatic weather station during the growing season of wheat crop. The results shows that, for the climatic conditions of the studied location, the best methods to estimate reference evapotranspiration were: Solar Radiation, Jensen-Haise and Makkink. The worst performance were presented by the method of Hargreaves-Samani, followed by the method of Camargo. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-02-15 |
dc.type.none.fl_str_mv |
|
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://revistas.ufrj.br/index.php/aigeo/article/view/7861 10.11137/2016_1_42_51 |
url |
https://revistas.ufrj.br/index.php/aigeo/article/view/7861 |
identifier_str_mv |
10.11137/2016_1_42_51 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://revistas.ufrj.br/index.php/aigeo/article/view/7861/6342 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2016 Anuário do Instituto de Geociências http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2016 Anuário do Instituto de Geociências 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 |
Universidade Federal do Rio de Janeiro |
publisher.none.fl_str_mv |
Universidade Federal do Rio de Janeiro |
dc.source.none.fl_str_mv |
Anuário do Instituto de Geociências; Vol 39, No 1 (2016); 42-51 Anuário do Instituto de Geociências; Vol 39, No 1 (2016); 42-51 1982-3908 0101-9759 reponame:Anuário do Instituto de Geociências (Online) instname:Universidade Federal do Rio de Janeiro (UFRJ) instacron:UFRJ |
instname_str |
Universidade Federal do Rio de Janeiro (UFRJ) |
instacron_str |
UFRJ |
institution |
UFRJ |
reponame_str |
Anuário do Instituto de Geociências (Online) |
collection |
Anuário do Instituto de Geociências (Online) |
repository.name.fl_str_mv |
Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ) |
repository.mail.fl_str_mv |
anuario@igeo.ufrj.br|| |
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1797053535824642048 |