Calibration of the Priestley-Taylor parameter to estimate evapotranspiration in rice paddy areas
Rice is one of the most important cereals in the world and requires a large amount of water due to flood irrigation cultivation. Estimation of evapotranspiration (ET) for rice paddy cropland by in situ measurements is still a limiting factor due to the high cost of equipment and specialized labor. T...
| Autores: | , , , , , , , , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2023 |
| País: | Brasil |
| Recursos: | Universidade Federal de Santa Maria (UFSM) |
| Repositorio: | Revista Ciência e Natura (Online) |
| Idioma: | portugués |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/79096 |
| Acesso em linha: | https://periodicos.ufsm.br/cienciaenatura/article/view/79096 |
| Access Level: | acceso abierto |
| Palavra-chave: | Evapotranspiration Priestley-Taylor method Rice paddy Evapotranspiração Método Priestley-Taylor Arroz irrigado |
| Resumo: | Rice is one of the most important cereals in the world and requires a large amount of water due to flood irrigation cultivation. Estimation of evapotranspiration (ET) for rice paddy cropland by in situ measurements is still a limiting factor due to the high cost of equipment and specialized labor. The Penman-Monteith (PM) method is considered the most complete, but requires a large amount of information. The Priestley-Taylor method (PT) is a simplification of the PM method using a smaller number of environmental variables and the energy available in the ecosystem. Several papers in the literature have presented calibrations for the α-coefficient of PT. However, these calibrations must be performed according to the climatic and surface characteristics of each region. Therefore, the aim of this work is to propose a calibration of the PT coefficient for ET estimates in rice paddy areas, using a simpler method. For this purpose, two experimental sites in southern Brazil were used. The simulated results were compared with data obtained using the Eddy Covariance technique (EC). The α-parameter of 1.22 proved to be efficient for ET estimations in rice paddy areas. |
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