Data/hora: 11/06/2024 17:41:40

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: | 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; Vol 41 (2019): Publicação Contínua; e39880

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

1807-8621

1679-9275

Fonte:

Copyright (c) 2019 Acta Scientiarum. Agronomy

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