Evaluation of Methods for Reference Evapotranspiration Estimation for Irrigation Water Management

Detalhes bibliográficos
Autor(a) principal: Paiva, Célia Maria
Data de Publicação: 2017
Outros Autores: Souza, Alexandre da Silva Pinheiro de
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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spelling 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

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url https://revistas.ufrj.br/index.php/aigeo/article/view/7861
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dc.relation.none.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/7861/6342
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rights_invalid_str_mv Copyright (c) 2016 Anuário do Instituto de Geociências
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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
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