COMPARATIVE STUDY BETWEEN REFERENCE EVAPOTRANSPIRATION ESTIMATION METHODOLOGIES FOR NORTHERN MINAS GERAIS LOCATIONS

Authors

  • Lucas da Costa Santos Federal University of Jequitinhonha and Mucuri Valleys https://orcid.org/0000-0001-6882-8929
  • Lucas Santos do Patrocínio Figueiró Federal University of Jequitinhonha and Mucuri Valleys
  • Alex Xavier Ribeiro Andrade Federal University of Jequitinhonha and Mucuri Valleys
  • Antônio Costa Ferreira Neto Federal University of Jequitinhonha and Mucuri Valleys
  • Caroline Salezzi Bonfá Federal University of Jequitinhonha and Mucuri Valleys https://orcid.org/0000-0002-4401-1559

DOI:

https://doi.org/10.15809/irriga.2021v1n4p714-721

Abstract

The determination of evapotranspiration is essential for the rational practice of irrigation, which has led to the formulation of several equations to estimate this important meteorological variable. In line with the above the objective was to compare, for the climatic conditions of Salinas and Januária (both located in the North of Minas Gerais, Brazil), empirical methods for estimating evapotranspiration with the standard method of Penman-Monteith (FAO56). For this purpose, meteorological data from five years (2016 to 2020) obtained from the National Institute of Meteorology (INMET) were used. For the comparative analysis, the following statistical indicators were used: coefficients of determination (R²) and correlation (r), mean absolute error (EAM), root mean square error (REQM), agreement index (d) and performance index (c). The results obtained demonstrate that, for the two locations evaluated, the Blaney-Criddle method presents the best performance for estimating evapotranspiration, on the other hand, the Hargreaves-Samani and Priestley-Taylor equations showed an unsatisfactory performance.

Author Biographies

Lucas da Costa Santos, Federal University of Jequitinhonha and Mucuri Valleys

Adjunct Professor at the Department of Agronomy - UFVJM. He has experience in Irrigation and Drainage and Agrometeorology research, with emphasis on the themes: water management in irrigated agriculture, chemigation, crop productivity simulation in crop growth models and crop yield under conditions of future climate scenarios. Coordinator of the Integrated Center for Research in Agrometeorology and Water Productivity in Agriculture (UFVJM).

Lucas Santos do Patrocínio Figueiró, Federal University of Jequitinhonha and Mucuri Valleys

Graduation in progress at the Agronomy course at UFVJM. Scientific initiation scholarship funded by FAPEMIG. Member of the Integrated Center for Research in Agrometeorology and Water Productivity in Agriculture (UFVJM).

Alex Xavier Ribeiro Andrade , Federal University of Jequitinhonha and Mucuri Valleys

Graduation in progress at the Agronomy course at UFVJM. Expertise in research projects focused on the areas of agrometeorology and water productivity. Scientific initiation scholarship funded by FAPEMIG. Member of the Integrated Center for Research in Agrometeorology and Water Productivity in Agriculture (UFVJM).

Antônio Costa Ferreira Neto , Federal University of Jequitinhonha and Mucuri Valleys

Graduation in progress at the Agronomy course at UFVJM. Member of the Integrated Center for Research in Agrometeorology and Water Productivity in Agriculture (UFVJM).

Caroline Salezzi Bonfá, Federal University of Jequitinhonha and Mucuri Valleys

Researcher in Post-Doctoral Stage in Plant Production, Department of Agronomy - UFVJM. Member of the Integrated Center for Research in Agrometeorology and Water Productivity in Agriculture (UFVJM).

Published

2021-12-23

How to Cite

SANTOS, Lucas da Costa; FIGUEIRÓ, Lucas Santos do Patrocínio; ANDRADE , Alex Xavier Ribeiro; FERREIRA NETO , Antônio Costa; BONFÁ, Caroline Salezzi. COMPARATIVE STUDY BETWEEN REFERENCE EVAPOTRANSPIRATION ESTIMATION METHODOLOGIES FOR NORTHERN MINAS GERAIS LOCATIONS. IRRIGA, [S. l.], v. 1, n. 4, p. 714–721, 2021. DOI: 10.15809/irriga.2021v1n4p714-721. Disponível em: http://revistas.fca.unesp.br/index.php/irriga/article/view/4426. Acesso em: 19 nov. 2024.