Comparison between evapotranspiration estimate methods in the state of Rio Grande do Sul

Authors

DOI:

https://doi.org/10.5902/2179460X84530

Keywords:

Evapotranspiration, Pampa Biome, Estimation methods

Abstract

The characterization of evapotranspiration requires time and financial investment, but from meteorological data, it is possible to estimate the values of this phenomenon by means of indirect methods. The Penman-Monteith FAO (PM) method is considered the most accurate by the Food and Agriculture Organization of the United Nations (FAO), which recommends its use because it takes into account solar radiation, temperature, relative humidity, and wind speed, data that are not always available in some locations in Brazil, making it necessary to use more simplified methods. Therefore, the objective of this work is to compare the evapotranspiration estimated by the Penman-Monteith FAO method with the evapotranspiration estimated by the methods of Penman-Monteith Simplified (PMS), Priestley-Taylor (PT), and Hargraves-Samani (HS) for the 10 weather stations of the National Institute of Meteorology (INMET) distributed in the Pampa biome in the state of Rio Grande do Sul. The results obtained indicated some divergences between the compared methods. However, the PT method showed more accurate results, with the best performance among the proposed methods. This indicates that this method can be used in future studies in the region, especially in cases of a lack of meteorological data.

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Author Biographies

Paola Liberalesso Dimperio, Universidade Federal de Santa Maria

Graduate Program in Agricultural Engineering.

Marcelo Lovato Brum, Universidade Federal de Santa Maria

Graduate Program in Agricultural Engineering.

Oscar Enmanuel Ticona Neyra, Universidade Federal de Santa Maria

Graduate Program in Agricultural Engineering.

Erickson Ricardo Ferminio da Silva, Universidade Federal de Santa Maria

Department of Sanitary and Environmental Engineering.

Lorenzo Balbueno Maciel Martins, Universidade Federal de Santa Maria

Department of Sanitary and Environmental Engineering.

Juliano Dalcin Martins, Universidade Federal de Santa Maria

Rural Engineering Department.

Daniel Gustavo Allasia, Universidade Federal de Santa Maria

Department of Sanitary and Environmental Engineering.

Alexandre Swarowsky, Universidade Federal de Santa Maria

Graduate Program in Agricultural Engineering.

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Published

2024-08-23

How to Cite

Dimperio, P. L., Brum, M. L., Neyra, O. E. T., Silva, E. R. F. da, Martins, L. B. M., Martins, J. D., Allasia, D. G., & Swarowsky, A. (2024). Comparison between evapotranspiration estimate methods in the state of Rio Grande do Sul. Ciência E Natura, 46, e84530. https://doi.org/10.5902/2179460X84530

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Section

Geo-Sciences

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