| Registro completo |
| Provedor de dados: |
Agronomy
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| País: |
Brazil
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| Título: |
Multivariate adaptive regression splines (MARS) applied to daily reference evapotranspiration modeling with limited weather data
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| Autores: |
Ferreira, Lucas Borges
Duarte, Anunciene Barbosa
Cunha, Fernando França da
Fernandes Filho, Elpídio Inácio
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| Data: |
2019-03-13
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| Ano: |
2019
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| Palavras-chave: |
Data driven
Irrigation scheduling
Agrometeorology
Artificial intelligence.
Agrometeorologia
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| 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.
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| Tipo: |
Info:eu-repo/semantics/article
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| Idioma: |
Inglês
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| Identificador: |
http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39880
10.4025/actasciagron.v41i1.39880
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| Editor: |
Universidade Estadual de Maringá
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| Relação: |
http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39880/pdf
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| Formato: |
application/pdf
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| Fonte: |
Acta Scientiarum. Agronomy; Vol 41 (2019): Publicação Contínua; e39880
Acta Scientiarum. Agronomy; v. 41 (2019): Publicação Contínua; e39880
1807-8621
1679-9275
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| Direitos: |
Copyright (c) 2019 Acta Scientiarum. Agronomy
https://creativecommons.org/licenses/by/4.0
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