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Three decades of reference evapotranspiration estimates for a tropical watershed in the eastern Amazon

Overview of attention for article published in Anais da Academia Brasileira de Ciências, October 2017
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Title
Three decades of reference evapotranspiration estimates for a tropical watershed in the eastern Amazon
Published in
Anais da Academia Brasileira de Ciências, October 2017
DOI 10.1590/0001-3765201720170147
Pubmed ID
Authors

RENATO O. DA SILVA JÚNIOR, EVERALDO B. DE SOUZA, ALEXANDRA L. TAVARES, JOSÉ A. MOTA, DOUGLAS B.S. FERREIRA, PEDRO W.M. SOUZA-FILHO, EDSON J.P. DA ROCHA

Abstract

This study estimated the reference evapotranspiration rate (ETo) for the Itacaiúnas River Watershed (IRW), Eastern Amazonia, and measured the accuracy of eight empirical equations: Penman-Monteith (PM), Priestley-Taylor (PT), Hargreaves and Samani (HS), Camargo (CAM), Thornthwaite (TH), Hamon (HM), Kharrufa (KF) and Turc (TC) using monthly data from 1980 to 2013. In addition, it verifies the regional applicability to the IRW using a for the Marabá-PA station. The methods TC and PM (FAO56) presented the best results, which demonstrate that radiation and higher temperatures are the dominant drivers in the Evapotranspiration process, while relative humidity and wind speed have a much smaller impact. The temporal and spatial variability of ETo for IRW show has strong seasonality, increasing during the dry season and decreasing during the rainy season. The statistical analyses at 1% level of significance, indicates that there is no correlation of the residuals between the dry and rainy seasons, and test of the physical parameters such as mean temperature, solar radiation and relative air humidity explains the variations of ETo.

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The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 30%
Student > Ph. D. Student 6 20%
Lecturer 2 7%
Student > Postgraduate 2 7%
Professor > Associate Professor 2 7%
Other 6 20%
Unknown 3 10%
Readers by discipline Count As %
Environmental Science 7 23%
Agricultural and Biological Sciences 5 17%
Earth and Planetary Sciences 4 13%
Computer Science 2 7%
Engineering 2 7%
Other 2 7%
Unknown 8 27%