HARGREAVES-SAMANI EQUATION CALIBRATED IN DIFFERENT TIME BASES FOR SETE LAGOAS, MG, BRAZIL

Detalhes bibliográficos
Autor(a) principal: Borges Júnior, João Carlos Ferreira
Data de Publicação: 2017
Outros Autores: Oliveira, Aline Lilian Marques, Andrade, Camilo de Lelis Teixeira de, Pinheiro, Marcus André Braido
Tipo de documento: Artigo
Idioma: por
Título da fonte: Engenharia na Agricultura
Texto Completo: https://periodicos.ufv.br/reveng/article/view/667
Resumo: The FAO Penman-Monteith method (FAO-PM) for determination of the reference evapotranspiration (ETo) may have its application restricted by lack of one or more wheather data. One of the alternative methods with lowest data requirement is the Hargreaves-Samani (HS). This study aimed to evaluate the performance of the HS method on its original form and after calibration on annual, semiannual, quarterly and monthly basis, compared to the FAO-PM method. For this, it was used a time series of 86 years of daily weather data obtained from a conventional meteorological station of INMET in Sete Lagoas, MG, Brazil. It was calibrated the coefficients and exponent of the HS equation by minimizing the mean absolute error. Afterwards the analysis of descriptive statistics was performed. To test the feasibility of comparative tests and to evaluate the fit of the probability distributions of the daily values of ETo, it was applied the Kolmogorov-Smirnov and Mann-Whitney test, respectively, at 5% significance level. Calibration of HS method removed the trend of systematic overestimation of daily ETo values as compared to FAO-PM. There was no significant difference between the probability distributions of daily ETo values calculated by the HS method calibrated at different time basis.
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spelling HARGREAVES-SAMANI EQUATION CALIBRATED IN DIFFERENT TIME BASES FOR SETE LAGOAS, MG, BRAZILEQUAÇÃO DE HARGREAVES-SAMANI CALIBRADA EM DIFERENTES BASES TEMPORAIS PARA SETE LAGOAS, MGdistribuição de probabilidadeevapotranspiração de referênciaFAO Penman-MonteithThe FAO Penman-Monteith method (FAO-PM) for determination of the reference evapotranspiration (ETo) may have its application restricted by lack of one or more wheather data. One of the alternative methods with lowest data requirement is the Hargreaves-Samani (HS). This study aimed to evaluate the performance of the HS method on its original form and after calibration on annual, semiannual, quarterly and monthly basis, compared to the FAO-PM method. For this, it was used a time series of 86 years of daily weather data obtained from a conventional meteorological station of INMET in Sete Lagoas, MG, Brazil. It was calibrated the coefficients and exponent of the HS equation by minimizing the mean absolute error. Afterwards the analysis of descriptive statistics was performed. To test the feasibility of comparative tests and to evaluate the fit of the probability distributions of the daily values of ETo, it was applied the Kolmogorov-Smirnov and Mann-Whitney test, respectively, at 5% significance level. Calibration of HS method removed the trend of systematic overestimation of daily ETo values as compared to FAO-PM. There was no significant difference between the probability distributions of daily ETo values calculated by the HS method calibrated at different time basis.Dados de evapotranspiração de referência (ETo) são requeridos em diversas análises relacionadas ao uso de recursos hídricos, como no manejo de irrigação, balanço hídrico de sequeiro, manejo de bacias hidrográficas, etc. O método FAO Penman-Monteith (FAO-PM) é considerado padrão para cálculo da ETo. Contudo, a aplicação deste método pode ser restringida pela falta de dados meteorológicos. Um dos métodos alternativos com menor requisição de dados é o Hargreaves-Samani (HS), o qual comumente necessita calibração local para obtenção de maior exatidão na aplicação. O objetivo deste trabalho foi avaliar o desempenho do método Hargreaves-Samani, na sua forma original e calibrado em base anual, semestral, trimestral e mensal, frente ao método padrão FAO-PM, com base em extensa série histórica de dados meteorológicos diários (86 anos), para a localidade de Sete Lagoas, MG. Calibraram-se os coeficientes e o expoente da equação de HS pela minimização do erro absoluto médio (EAM). Para avaliar a adequabilidade de aplicação de testes comparativos e para determinar o ajuste das distribuições de probabilidade de ETo, foram aplicados os testes de Kolmogorov-Smirnov e Mann-Whitney, respectivamente. A calibração do método HS anulou a tendência de superestimativa sistemática dos valores de ETo diária, comparativamente ao FAO-PM, reduzindo-se o EAM. A calibração em diferentes bases temporais acarretou a aproximação das distribuições de probabilidade de ETo calculada por meio do método HS, que não diferiram significativamente entre si, à obtida com o método FAO-PM.Universidade Federal de Viçosa - UFV2017-03-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/reveng/article/view/66710.13083/reveng.v25i1.742Engineering in Agriculture; Vol. 25 No. 1 (2017); 38-49Revista Engenharia na Agricultura - REVENG; v. 25 n. 1 (2017); 38-492175-68131414-398410.13083/reveng.v25i1reponame:Engenharia na Agriculturainstname:Universidade Federal de Viçosa (UFV)instacron:UFVporhttps://periodicos.ufv.br/reveng/article/view/667/444Borges Júnior, João Carlos FerreiraOliveira, Aline Lilian MarquesAndrade, Camilo de Lelis Teixeira dePinheiro, Marcus André Braidoinfo:eu-repo/semantics/openAccess2023-01-19T13:32:22Zoai:ojs.periodicos.ufv.br:article/667Revistahttps://periodicos.ufv.br/revengPUBhttps://periodicos.ufv.br/reveng/oairevistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br2175-68131414-3984opendoar:2023-01-19T13:32:22Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv HARGREAVES-SAMANI EQUATION CALIBRATED IN DIFFERENT TIME BASES FOR SETE LAGOAS, MG, BRAZIL
EQUAÇÃO DE HARGREAVES-SAMANI CALIBRADA EM DIFERENTES BASES TEMPORAIS PARA SETE LAGOAS, MG
title HARGREAVES-SAMANI EQUATION CALIBRATED IN DIFFERENT TIME BASES FOR SETE LAGOAS, MG, BRAZIL
spellingShingle HARGREAVES-SAMANI EQUATION CALIBRATED IN DIFFERENT TIME BASES FOR SETE LAGOAS, MG, BRAZIL
Borges Júnior, João Carlos Ferreira
distribuição de probabilidade
evapotranspiração de referência
FAO Penman-Monteith
title_short HARGREAVES-SAMANI EQUATION CALIBRATED IN DIFFERENT TIME BASES FOR SETE LAGOAS, MG, BRAZIL
title_full HARGREAVES-SAMANI EQUATION CALIBRATED IN DIFFERENT TIME BASES FOR SETE LAGOAS, MG, BRAZIL
title_fullStr HARGREAVES-SAMANI EQUATION CALIBRATED IN DIFFERENT TIME BASES FOR SETE LAGOAS, MG, BRAZIL
title_full_unstemmed HARGREAVES-SAMANI EQUATION CALIBRATED IN DIFFERENT TIME BASES FOR SETE LAGOAS, MG, BRAZIL
title_sort HARGREAVES-SAMANI EQUATION CALIBRATED IN DIFFERENT TIME BASES FOR SETE LAGOAS, MG, BRAZIL
author Borges Júnior, João Carlos Ferreira
author_facet Borges Júnior, João Carlos Ferreira
Oliveira, Aline Lilian Marques
Andrade, Camilo de Lelis Teixeira de
Pinheiro, Marcus André Braido
author_role author
author2 Oliveira, Aline Lilian Marques
Andrade, Camilo de Lelis Teixeira de
Pinheiro, Marcus André Braido
author2_role author
author
author
dc.contributor.author.fl_str_mv Borges Júnior, João Carlos Ferreira
Oliveira, Aline Lilian Marques
Andrade, Camilo de Lelis Teixeira de
Pinheiro, Marcus André Braido
dc.subject.por.fl_str_mv distribuição de probabilidade
evapotranspiração de referência
FAO Penman-Monteith
topic distribuição de probabilidade
evapotranspiração de referência
FAO Penman-Monteith
description The FAO Penman-Monteith method (FAO-PM) for determination of the reference evapotranspiration (ETo) may have its application restricted by lack of one or more wheather data. One of the alternative methods with lowest data requirement is the Hargreaves-Samani (HS). This study aimed to evaluate the performance of the HS method on its original form and after calibration on annual, semiannual, quarterly and monthly basis, compared to the FAO-PM method. For this, it was used a time series of 86 years of daily weather data obtained from a conventional meteorological station of INMET in Sete Lagoas, MG, Brazil. It was calibrated the coefficients and exponent of the HS equation by minimizing the mean absolute error. Afterwards the analysis of descriptive statistics was performed. To test the feasibility of comparative tests and to evaluate the fit of the probability distributions of the daily values of ETo, it was applied the Kolmogorov-Smirnov and Mann-Whitney test, respectively, at 5% significance level. Calibration of HS method removed the trend of systematic overestimation of daily ETo values as compared to FAO-PM. There was no significant difference between the probability distributions of daily ETo values calculated by the HS method calibrated at different time basis.
publishDate 2017
dc.date.none.fl_str_mv 2017-03-31
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://periodicos.ufv.br/reveng/article/view/667
10.13083/reveng.v25i1.742
url https://periodicos.ufv.br/reveng/article/view/667
identifier_str_mv 10.13083/reveng.v25i1.742
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufv.br/reveng/article/view/667/444
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
dc.source.none.fl_str_mv Engineering in Agriculture; Vol. 25 No. 1 (2017); 38-49
Revista Engenharia na Agricultura - REVENG; v. 25 n. 1 (2017); 38-49
2175-6813
1414-3984
10.13083/reveng.v25i1
reponame:Engenharia na Agricultura
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str Engenharia na Agricultura
collection Engenharia na Agricultura
repository.name.fl_str_mv Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv revistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br
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