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

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 pe...

ver descrição completa

Detalhes bibliográficos
Autores: Borges Júnior, João Carlos Ferreira, Oliveira, Aline Lilian Marques, Andrade, Camilo de Lelis Teixeira de, Pinheiro, Marcus André Braido
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:Brasil
Recursos:Universidade Federal de Viçosa (UFV)
Repositorio:Engenharia na Agricultura
Idioma:portugués
OAI Identifier:oai:ojs.periodicos.ufv.br:article/667
Acesso em linha:https://periodicos.ufv.br/reveng/article/view/667
Access Level:acceso abierto
Palavra-chave:distribuição de probabilidade
evapotranspiração de referência
FAO Penman-Monteith
Descrição
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.