Data/hora: 12/06/2024 10:40:17

Provedor de dados: 	1	
País: 	Brazil	
Título: 	Multivariate adaptive regression splines (MARS) applied to daily reference evapotranspiration modeling with limited weather data	
Autores: 	Ferreira, Lucas Borges; Duarte, Anunciene Barbosa; Cunha, Fernando França da; Fernandes Filho, Elpídio Inácio.	
Data: 	2019-03-13	
Ano: 	2019	
Palavras-chave: 	5.01.05.00-0 data driven; Irrigation scheduling; Agrometeorology; Artificial intelligence. Agrometeorologia.	
Resumo: 	Estimation of reference evapotranspiration (ETo) is very relevant for water resource management. The Penman-Monteith (PM) equation was proposed by the Food and Agriculture Organization (FAO) as the standard method for estimation of ETo. However, this method requires various weather data, such as air temperature, wind speed, solar radiation and relative humidity, which are often unavailable. Thus, the objective of this study was to compare the performance of multivariate adaptive regression splines (MARS) and alternative equations, in their original and calibrated forms, to estimate daily ETo with limited weather data. Daily data from 2002 to 2016 from 8 Brazilian weather stations were used. ETo was estimated using empirical equations, PM equation with missing data and MARS. Four data availability scenarios were evaluated as follows: temperature only, temperature and solar radiation, temperature and relative humidity, and temperature and wind speed. The MARS models demonstrated superior performance in all scenarios. The models that used solar radiation showed the best performance, followed by those that used relative humidity and, finally, wind speed. The models based only on air temperature had the worst performance.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39880

10.4025/actasciagron.v41i1.39880	
Editor: 	Universidade Estadual de Maringá	
Relação: 	http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39880/pdf	
Formato: 	application/pdf	
Fonte: 	Acta Scientiarum. Agronomy; v. 41 (2019): Publicação Contínua; e39880

Acta Scientiarum. Agronomy; v. 41 (2019): Publicação Contínua; e39880

1807-8621

1679-9275	
Fonte: 	Direitos autorais 2019 Acta Scientiarum. Agronomy

http://creativecommons.org/licenses/by/4.0