Reference evapotranspiration for Londrina, Paraná, Brazil: performance of different estimation methods

Silva, Rodrigo Dlugosz da; Silva, Marcelo Augusto de Aguiar e; Canteri, Marcelo Giovanetti; Rosisca, Juliandra Rodrigues; Vieira, Nilson Aparecido

doi:10.5433/1679-0359.2017v38n4supl1p2363

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…Among the existing algorithms widespread in the literature (SILVA et al, 2017), the MS-PT is presented as an attractive alternative for ETa estimation. In addition to simple execution, this algorithm has the ability to partition evapotranspiration, that is, compute separately transpiration and soil water evaporation, characteristics that are not found together in another model.…”

Section: Introductionmentioning

confidence: 99%

Productivity and water demand of maize estimated by the modified satellite Priestley-Taylor algorithm

Filgueiras

Mantovani

Althoff

et al. 2019

SCA

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The water demand of crops, as well as the relation of this variable to productivity and other important factors related to the sustainable management of agriculture, makes it relevant to estimate parameters that help in the most assertive and efficient decision-making in the agricultural environment. In this context, the work aims to estimate the actual evapotranspiration (ETa), biomass (Bio), water productivity (WP) and crop productivity (P), using the Landsat-8 satellite, through the Modified Satellite Priestley-Taylor Algorithm (MS-PT). For this, ETa was estimated for maize culture irrigated by central pivots, using the MS-PT with six images of Landsat-8, which were free of clouds. The ETa estimate was accurate in the first 60 days after emergence (DAE) of the crop. Subsequently, the variables Bio, P, and WP were estimated using the ETa and the assumptions of the Monteith (1972) model. Therefore, we sequentially calculated the dry biomass, crop productivity and water productivity. ETa presented a high correlation with Bio from the second image (06/10/2015), due to the canopy closure of the crop and, consequently, the predominance of transpiration in the evapotranspiration phenomenon. The water productivity was constant throughout the maximum vegetative stage until the reproductive phase R4 of the crop, verifying in this interval the best efficiency in the conversion of water in biomass. From the obtained results, it is verified that the set of algorithms used in the estimation of the parameters demonstrated the potential to increase the capacity to handle agriculture in a more efficient, assertive and sustainable way.

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Section: Introductionmentioning

confidence: 99%

Productivity and water demand of maize estimated by the modified satellite Priestley-Taylor algorithm

Filgueiras

Mantovani

Althoff

et al. 2019

SCA

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Prediction of agricultural drought behavior using the Long Short-Term Memory Network (LSTM) in the central area of the Gulf of Mexico

Salas-Martínez,

Márquez-Grajales,

Valdés-Rodríguez

et al. 2024

Theor Appl Climatol

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Calibration of alternative equations to estimate the reference evapotranspiration in Nova Venécia, Espírito Santo, Brazil

Fornaciari,

Amaro de Salles,

Chaves de Oliveira

et al. 2023

Agron. Colomb.

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The estimation of the reference evapotranspiration is fundamental in defining irrigation projects. However, an estimation using the standard equation requires climate variables that are difficult to measure and are not very accessible. Thus, the objective of this study was to calibrate and validate alternative methods to estimate evapotranspiration that use simple variables and to compare performance with the standard Penman-Monteith method for the municipality of Nova Venécia, Espírito Santo, Brazil. For this, a 12-year time series (2008-2019) of meteorological data from the Instituto Nacional de Meteorología was used. The standard FAO-56 Penman–Monteith method was used to evaluate alternative methods: Hargreaves and Samani, Benevides and Lopes, Linacre, Hamon and Camargo. Method performance was analyzed by correlation coefficient, Willmott index, root mean square of normalized error, and performance index. Calibration improved the statistical indices, increasing the performance of the Hargreaves and Samani, Benevides and Lopes, and Linacre methods to “very good” in the rainy season and to “intermediate” in the dry season. They were superior to the Hamon and Camargo methods, which continued to show “tolerable” to “very poor” performance in both periods.

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Reference evapotranspiration for Londrina, Paraná, Brazil: performance of different estimation methods

Cited by 3 publications

References 4 publications

Productivity and water demand of maize estimated by the modified satellite Priestley-Taylor algorithm

Productivity and water demand of maize estimated by the modified satellite Priestley-Taylor algorithm

Prediction of agricultural drought behavior using the Long Short-Term Memory Network (LSTM) in the central area of the Gulf of Mexico

Calibration of alternative equations to estimate the reference evapotranspiration in Nova Venécia, Espírito Santo, Brazil

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