COMPARISON BETWEEN ESTIMATION METHODS OF REFERENCE EVAPOTRANSPIRATION IN BOM JESUS ​​DA LAPA, BA

Resumo

Among the reference evapotranspiration (ETo) equations, the FAO-56 Penman-Monteith (PM FAO-56) model is considered the most accurate, but this model requires a greater amount of meteorological data. On the other hand, there are other methods that require fewer variables and have shown good precision according to the location. The objective of this work was to evaluate the efficiency of four methods for estimation of daily ETo, comparing them with FAO-56 PM equation in Bom Jesus da Lapa, Bahia, Brazil. To do so, a dataset from 2010 to 2017, acquired at the National Institute of Meteorology (INMET), was used. The models were analyzed by means of statistical indicators: Willmott’s concordance index, root mean square error (RMSE), mean bias error (BIAS), coefficient of determination “R²”, correlation coefficient “r” and coefficient of confidence “c”, in addition to the classification of the coefficient of confidence. The results obtained show that Hargreaves and Samani equation was the only method classified as “good” and is recommended. While the models of Camargo, Priestley and Taylor and Benevides and Lopes are not recommended to calculate ETo in the municipality.

Downloads

Não há dados estatísticos.

Biografia do Autor

Taiara Souza Costa, Universidade Estadual de Feira de Santana- UEFS, Brasil

Estudante de agronomia. Departamento de Ciências Biológicas

Rosangela Leal Santos, Universidade Estadual de Feira de Santana

Professora adjunta da Universidade Estadual de Feira de Santana e Coordenadora da Estação Climatológica.

Publicado
2020-02-17
Como Citar
Costa, T. S., Argolo dos Santos, R., Amaro de Sales, R., Tolentino Nogueira, A., & Santos, R. L. (2020). COMPARISON BETWEEN ESTIMATION METHODS OF REFERENCE EVAPOTRANSPIRATION IN BOM JESUS ​​DA LAPA, BA. REVISTA ENGENHARIA NA AGRICULTURA - REVENG, 28, 120-128. https://doi.org/10.13083/reveng.v28i.974
Seção
Meteorologia Aplicada