dc.contributorUniversidade Federal de Viçosa (UFV)
dc.contributorUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-28T19:02:33Z
dc.date.accessioned2022-12-20T01:00:43Z
dc.date.available2022-04-28T19:02:33Z
dc.date.available2022-12-20T01:00:43Z
dc.date.created2022-04-28T19:02:33Z
dc.date.issued2015-10-01
dc.identifierIRRIGA, v. 20, n. 4, p. 790-798, 2015.
dc.identifier1808-3765
dc.identifier1413-7895
dc.identifierhttp://hdl.handle.net/11449/220557
dc.identifier10.15809/irriga.2015v20n4p790
dc.identifier2-s2.0-84957599339
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5400686
dc.description.abstractThe water depth to be applied is a factor of utmost importance for the success of irrigated crops. The objective of this study was to evaluate the correlation of ETo estimate methods proposed by Hargreaves and Samani, Camargo and Jensen-Haise (JH) and the standard PenmanMonteith-FAO (PM-FAO) method, by setting up regional adjustment coefficients for the region of Rio Parnaiba, MG. Climate data collected at the meteorological station in Rio Paranaiba, MG (19°09'47'' S; 46°16'36´´O) were used from July 1, 2011 to June 30, 2013. The performance index (c), accuracy index (d), standard error of estimate (SEE) and correlation index (r) were used for comparisons. Considering the methods to estimate evapotranspiration, the JH method presented the highest correlation with the standard method (PM-FAO), r2 of 89%. According to the results, the JH equation for ETo calculation in the region of Paranaíba, MG is recommended, as this model presented the best evapotranspiration estimate. Correcting the evapotranspiration data, all study equations may be used to estimate evapotranspiration approaching the PM-FAO method.
dc.languagepor
dc.relationIRRIGA
dc.sourceScopus
dc.subjectEmpirical equations
dc.subjectHargreaves and Samani
dc.subjectJansen-Haise
dc.subjectPenman-Monteith
dc.titleEstimativa de evapotranspiração de referência na região de Rio Paranaíba-MG
dc.typeArtículos de revistas


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