Estimativa Da Evapotranspiração De Referência Para O Município De Feira De Santana (Ba)

Santos, Robson Argolo dos; Santos, Erli Pinto dos; Sales, Ramon Amaro de; Santos, Rosângela Leal

doi:10.7127/rbai.v11n400557

Cited by 5 publications

(7 citation statements)

References 5 publications

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“…The BIAS systematic error shows the underor overestimation of a model, thus it is possible to observe that HS and BL overestimated, being more accentuated for BL with a systematic error of 2.68 mm d -1 while the PT and CM methods underestimated it ( Figure 2). These results are in agreement with Santos et al (2017), as when studying ETo in Feira de Santana, state of Bahia, found values for HS overestimating PM FAO-56 in all the months. The authors Borges Júnior et al 2017, when estimating the daily ETo for Sete Lagoas, state of Minas Gerais, found that the original HS has an overestimate tendency.…”

Section: Resultssupporting

confidence: 91%

“…The correlation and concordance values found through HS and PT are close to those obtained by Tagliaferre et al (2012) by evaluating ETo on a daily scale in the municipality of Piatã, state of Bahia, with a correlation of 0.70 and 0.86 respectively, and with concordance between the data of 0.82 for HS and 0.87 for PT. Studies conducted by Oliveira et al (2010), for the region of Juazeiro, BA showed that the HS method had a performance considered Good.…”

Section: Resultssupporting

confidence: 81%

“…For comparative analysis and indication of the best ETo estimation methods for the municipality of Bom Jesus da Lapa, the following statistical indices were used: Willmott's "d" agreement index (WILLMOTT et al, 1985), root of the mean square error (RMSE in mm d -1 ), systematic error (BIAS in mm d -1 ), determination coefficient R², "r" correlation coefficient and confidence coefficient or performance "c", in addition to the classification of the confidence coefficient (Equations 6, 7, 8, 9, 10).…”

Section: Priestley and Taylor (Pt)mentioning

confidence: 99%

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Comparison Between Estimation Methods of Reference Evapotranspiration in Bom Jesus da Lapa, Ba

Costa

Santos²,

Sales³

et al. 2020

Reveng

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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.

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Section: Resultssupporting

confidence: 91%

Section: Resultssupporting

confidence: 81%

Section: Priestley and Taylor (Pt)mentioning

confidence: 99%

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Comparison Between Estimation Methods of Reference Evapotranspiration in Bom Jesus da Lapa, Ba

Costa

Santos²,

Sales³

et al. 2020

Reveng

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“…Os autores Silva et al (2015) também obtiveram resultados ruins com o método HS em regiões litorâneas. Além disso, outros autores já vem mencionando resultados ruins em métodos que se baseiam em temperatura (FANAYA JÚNIOR et al, 2012;SANTOS et al, 2017), sendo que a baixa variação na temperatura é apontada como principal causa.…”

Section: Resultsunclassified

Ajuste Dos Coeficientes Das Equações De Estimativa Da Evapotranspiração De Referência Para São Mateus, Es

Sales

Oliveira

Lima

et al. 2018

R_I

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AJUSTE DOS COEFICIENTES DAS EQUAÇÕES DE ESTIMATIVA DA EVAPOTRANSPIRAÇÃO DE REFERÊNCIA PARA SÃO MATEUS, ES RAMON AMARO DE SALES1; EVANDRO CHAVES DE OLIVEIRA2; MARCUS JOSÉ ALVES LIMA3; EDUARDO MONTEIRO GELCER4; ROBSON ARGOLO DOS SANTOS5 E CÁSSIO FURTADO LIMA2 1Programa de Pós-graduação em Produção Vegetal, Universidade Federal do Espírito Santo, CEP: 29500-000, Alegre-ES, E-mail: ramonamarodesales@gmail.com;2Instituto Federal de Educação, Ciência e Tecnologia do Espírito Santo Campus Itapina, CEP 29709-910, Colatina-ES, E-mail: echoliveira@gmail.com; cassio.engenhariaflorestal@yahoo.com.br;3Universidade Federal Rural da Amazônia, Campus Capitão Poço, CEP 66077-530, Belém-PA, E-mail: marcuslima01@yahoo.com.br;4University of Florida, Department of Agricultural and Biological Engineering, Gainesville, Florida, 32608 - United States. E-mail: egelcer@ufl.edu;5Programa de Pós-graduação em Engenharia Agrícola, Universidade Federal de Viçosa, CEP 36570-900, Viçosa-MG, E-mail: argolo.agro@gmail.com. 1 RESUMO O objetivo deste trabalho foi ajustar métodos empíricos para estimativa da evapotranspiração de referência em escala diária para a região de São Mateus, ES, através de dados da estação meteorológica do Instituto Nacional de Meteorologia. Para tanto, foi utilizado uma série histórica de 15 anos (2000 – 2015), sendo que os primeiros 14 anos foram considerados para ajustar os parâmetros e ao ano de 2015 foram atribuídos dados independentes para validação dos ajustes. O método FAO-56 PM foi referência para a avaliação dos demais métodos, dentre eles: Priestley-Taylor, Tanner-Pelton, Turc, Jensen-Haise, Makkink, Camargo, Hamon, Hargreaves e Samani, Linacre e Benevides Lopes. O desempenho dos métodos foi analisado pelo coeficiente de determinação (R2), índice de concordância de Willmott (d), raiz do erro quadrático médio normalizado (RMSEn) e soma do erro absoluto (SEA). Os resultados obtidos mostraram que os métodos que utilizaram a radiação solar como variável preditora foram mais precisos que aqueles que utilizaram somente temperatura e/ou umidade relativa do ar. Os métodos de maior desempenho foram Turc, Jensen e Haise, Priestley e Taylor, Tanner e Pelton e Makkink, os quais apresentaram valores de RMSEn variando entre 3 – 5% e d igual a 0,99, enquanto os demais apresentaram RMSEn de 21 – 29% e d inferior a 0,81, mesmo após o ajuste. Palavras-chave: Penman-Monteith-FAO, irrigação, necessidade hídrica, meteorologia agrícola SALES, R. A.; OLIVEIRA, E. C.; LIMA, M. J. A.; GELCER, E. M.; SANTOS, R. A.; LIMA, C. F.ADJUSTMENT OF COEFFICIENTS OF REFERENCE EVAPOTRASPIRATION ESTIMATE EQUATIONS FOR SÃO MATEUS, ES 2 ABSTRACT The objective of this work was to adjust empirical methods to estimate reference evapotranspiration (ETo) at daily scale for São Mateus, ES region by using weather data from the National Institute of Meteorology. Fifteen years of data (2000 – 2015) were used, with the first 14 years used to adjust parameters and independent data were assigned to the year 2015 to validate the adjustments. The FAO-56 PM method was the reference to evaluate the other ones: Priestley-Taylor, Tanner-Pelton, Turc, Jensen-Haise, Makkink, Camargo, Hamon, Hargreaves the Samani, Linacre the Benevides Lopes. The performance of the methods was analyzed by the coefficient of determination (R2), index of Willmott (d), normalized root mean squared error (RMSEn) and absolute error of the sum (SEA). The results obtained demonstrated that the methods using solar radiation as predictor variable were more accurate than those in which only temperature and/or relative humidity of the air were used. The methods with better performance were Turc, Jensen-Haise, Priestley-Taylor, Tanner-Pelton, and Makkink, which presented values of RMSEn varying between 3 – 5% and d equal to 0.99, while the others presented RMSEn of 21 – 29% and d lower than 0.81, even after adjustment. Keywords: Penman – Monteith - FAO, irrigation, water need, agricultural meteorology

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“…Although the adjustment benefited all methods, the CM presented higher RMSE values when compared to the other models, reaching 0.41 mm d -1 in the spring. Bad results in methods based only on air temperature have been reported in the literature, and the low temperature variation is indicated as the main cause (Fanay a Júnior et al, 2012;Santos et al, 2017;Sales et al, 2018b).…”

Section: Resultsmentioning

confidence: 99%

Calibration Methods for Estimation of Reference Evapotranspiration in Morro Do Chapéu, Bahia, Brazil

Costa¹,

Sales²,

Santos³

et al. 2019

JAS

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The objective of this work was to calibrate and to validate the methods of Camargo, Hargreaves and Samani, and Priestley and Taylor, according to the Penman-Monteith model, for the estimation of reference evapotranspiration (ETo), in the four seasons of the year for the municipality of Morro do Chapéu, Bahia. Climatological data from the conventional meteorological station belonging to the National Institute of Meteorology (INMET) were used, in the period of 18 years (2000-2018). The first 16 years were considered to adjust the parameters. The years of 2016 and 2017 were assigned as independent data to validate the adjustments. To analyze the results, it was used the root mean square error (RMSE in mm d-1), coefficient of determination (R2), systematic error (BIAS in mm d-1), and Willmott’s concordance index. After adjusting the parameters, the three methods improved their performance in the estimation of ETo, however, the Camargo method presented high values of RMSE, reaching 0.41 mm d-1 during the spring. It is concluded that the calibrated methods of Hargreaves and Samani, and, Priestley and Taylor can be recommended for the estimation of the reference evapotranspiration, for planning and execution of irrigation projects in the municipality, regardless of the season.

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Estimativa Da Evapotranspiração De Referência Para O Município De Feira De Santana (Ba)

Cited by 5 publications

References 5 publications

Comparison Between Estimation Methods of Reference Evapotranspiration in Bom Jesus da Lapa, Ba

Comparison Between Estimation Methods of Reference Evapotranspiration in Bom Jesus da Lapa, Ba

Ajuste Dos Coeficientes Das Equações De Estimativa Da Evapotranspiração De Referência Para São Mateus, Es

Calibration Methods for Estimation of Reference Evapotranspiration in Morro Do Chapéu, Bahia, Brazil

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Estimativa Da Evapotranspiração De Referência Para O Município De Feira De Santana (Ba)

Cited by 5 publications

References 5 publications

Comparison Between Estimation Methods of Reference Evapotranspiration in Bom Jesus ​​da Lapa, Ba

Comparison Between Estimation Methods of Reference Evapotranspiration in Bom Jesus ​​da Lapa, Ba

Ajuste Dos Coeficientes Das Equações De Estimativa Da Evapotranspiração De Referência Para São Mateus, Es

Calibration Methods for Estimation of Reference Evapotranspiration in Morro Do Chapéu, Bahia, Brazil

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Comparison Between Estimation Methods of Reference Evapotranspiration in Bom Jesus da Lapa, Ba

Comparison Between Estimation Methods of Reference Evapotranspiration in Bom Jesus da Lapa, Ba