Reference crop evapotranspiration in distinct agricultural regions of Southern Brazil: a comparison of improved empirical models

Santos, Maicon Sérgio Nascimento dos; Castro, Isac Aires de; Oro, Carolina Elisa Demaman; Zabot, Giovani L.; Tres, Marcus V.

doi:10.13083/reveng.v29i1.12418

Cited by 2 publications

(4 citation statements)

References 18 publications

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“…Accordingly, Eq. 1 expresses the Penman-Monteith mathematical detail (ALLEN et al, 1998): 19, Jan-Dez, 2023, p. 261-282 (1) Which: ET o : reference evapotranspiration (mm day −1 ), Δ: slope of the saturation curve at the daily temperature (kPa ºC -1 ); γ: psychrometric constant (0.066 kPa ºC -1 ); Q * : radiation balance (MJ m -2 dia -1 ); G: daily soil heat flux (MJ m -2 dia -1 ) (0, as stipulated by Allen et al The Penman-Monteith parameters are specifically described by Santos et al (2021).…”

Section: Penman-monteith Standard Modelmentioning

confidence: 99%

“…The statistical software RStudio ® 4.0.5 (RSTUDIO, 2015) integrated for R language (R CORE TEAM ® , 2019) was adopted. The specific packages applied, considering the CRAN repository (The Comprehensive R Archive Network), were detailed by Santos et al (2021).…”

Section: Multivariate Statistical Analysismentioning

confidence: 99%

“…For Principal Component Analysis (PCA), the correlation and its p-value were described by Santos et al (2021). Accordingly, for better visualization of the Cluster Analysis, 5 homogeneous groups were generated based on the R language.…”

Section: Multivariate Statistical Analysismentioning

confidence: 99%

“…Currently, the development of models referring to ETo determination is inferred as a major factor, mainly due to the accuracy and applicability of the data in irrigation programming and management strategies. Nevertheless, due to a range of existing methods for developing ETo estimates, the choice of the most appropriate resource depends on the number of meteorological parameters required and the availability of these parameters (SANTOS et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

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A Comparative Relation of Distinct Reference Crop Evapotranspiration Models for Southern Brazil

Santos,

Castro,

Villa

et al. 2023

COLLOQ AGRARIAE

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Water is one of the main limiting factors for achieving high productivity in agriculture. The hydric requirement of plants is fundamental for the dimensioning of the irrigation system and contributes to the better use of hydric resources. Moreover, the accurate computation of this element is essential for water management in agricultural systems. Nonetheless, due to the heterogeneity of different evapotranspiration estimation methods, the performance of its calculation can be considerably compromised. Accordingly, the aim of this study was to compare the methods for estimating reference evapotranspiration (ETo) by Benevides & Lopes, Camargo, Hargreaves & Samani, Jensen & Haise, Linacre, Makkink, Penman, Priestley & Taylor, Tanner & Pelton, and Turc, with the FAO-56 Penman-Monteith standard method, to evaluate the performance and accuracy of equational models. Furthermore, data from an automatic weather station belonging to the Brazilian National Institute of Meteorology (INMET), located in Palmeira das Missões, Rio Grande do Sul, Brazil, from January 1, 2020, to January 1, 2021, were used. Comparative statistical methods were utilized to express the accuracy of the models and indicate the most appropriate equations for the conditions of the selected location. Cluster analysis and Principal Component Analysis (PCA) were applied. For Palmeira das Missões, the model proposed by Hargreaves & Samani indicated the best results and was characterized as the most appropriate alternative to estimate the ETo more accurately. The method indicated the most favorable results for R2 (0.9890), d (0.9253), and r (0.9944). Furthermore, cluster and PCA analyses expressed the behavior of relationships between different mathematical models and meteorological parameters in relation to the ETo determination.

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Section: Penman-monteith Standard Modelmentioning

confidence: 99%

Section: Multivariate Statistical Analysismentioning

confidence: 99%

Section: Multivariate Statistical Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Comparative Relation of Distinct Reference Crop Evapotranspiration Models for Southern Brazil

Santos,

Castro,

Villa

et al. 2023

COLLOQ AGRARIAE

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Análisis comparativo de la evapotranspiración de referencia con métodos empíricos en la cuenca del rio Mosna

Acevedo Cruz,

Reyes Roque

2024

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La estimación precisa de la evapotranspiración de referencia (ETo) es un factor fundamental para la planificación y gestión del recurso hídrico. El método recomendado por la FAO de Penman-Monteith es globalmente aceptado como el método estándar para el cálculo de la ETo. Sin embargo, este método requiere diversos parámetros meteorológicos que generalmente no se encuentran en las estaciones meteorológicas. En ese contexto, el objetivo de esta investigación fue evaluar el desempeño de tres métodos empíricos con respeto al método de referencia en la cuenca del río Mosna. Se utilizó los datos diarios proporcionados por el SENAMHI y NASA POWER. Los métodos empíricos de Hargreaves-Samani, Thornthwaite y Turc subestimaron la ETo en un 1,2 %, 56 % y 45 % en comparación con Penman-Monteith. Solamente el método de Hargreaves-Samani mostró un buen desempeño de la ETo con respeto a Penman-Monteith, evaluado mediante los estadísticos de prueba de R2 de 0,86, EPCM de 0,006, RECM de 0,080 y NSE de 0,975. Por lo tanto, el método de Hargreaves-Samani, que requiere únicamente como dato de entrada la temperatura, puede ser utilizado en esta cuenca

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Reference crop evapotranspiration in distinct agricultural regions of Southern Brazil: a comparison of improved empirical models

Cited by 2 publications

References 18 publications

A Comparative Relation of Distinct Reference Crop Evapotranspiration Models for Southern Brazil

A Comparative Relation of Distinct Reference Crop Evapotranspiration Models for Southern Brazil

Análisis comparativo de la evapotranspiración de referencia con métodos empíricos en la cuenca del rio Mosna

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