Class A pan coefficients (Kp) to estimate daily reference evapotranspiration (ETo)

Detalhes bibliográficos
Autor(a) principal: Sentelhas,Paulo C.
Data de Publicação: 2003
Outros Autores: Folegatti,Marcos V.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662003000100018
Resumo: The class A pan coefficient (Kp) has been used to convert pan evaporation (ECA) to grass-reference evapotranspiration (ETo), an important component in water management of irrigated crops. There are several methods to determine Kp values, using wind speed, relative humidity and fetch length and conditions. This paper analyses the following methods to estimate Kp values: Doorenbos &amp; Pruitt (1977); Cuenca (1989); Snyder (1992); Pereira et al. (1995); Raghuwanshi &amp; Wallender (1998); and FAO/56 (Allen et al., 1998). The estimated values of Kp and the observed Kp, obtained from the relationship between ETo measured in a weighing lysimeter and ECA measured in a class A pan, were compared by regression analysis. The same routine was adopted to evaluate ETo estimates with the different Kp values. The results showed that all methods to estimate Kp did not predict it well, with low correlation (R²< 0.2), which resulted in estimates of ETo with high dispersion (R²< 0.8). The best Kp methods to estimate ETo were Pereira et al. (1995) and Cuenca (1989), both presenting high efficiency. The use of an arbitrary and constant Kp (0.71) to estimate ETo, produced the same precision and accuracy as the estimates of Kp based on Pereira and Cuenca methods. This fixed value is a practical and simple option to convert ECA into ETo, but this value must be calibrated for each place under different climatic conditions.
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spelling Class A pan coefficients (Kp) to estimate daily reference evapotranspiration (ETo)pan coefficientirrigation schedulingweighing lysimeterThe class A pan coefficient (Kp) has been used to convert pan evaporation (ECA) to grass-reference evapotranspiration (ETo), an important component in water management of irrigated crops. There are several methods to determine Kp values, using wind speed, relative humidity and fetch length and conditions. This paper analyses the following methods to estimate Kp values: Doorenbos &amp; Pruitt (1977); Cuenca (1989); Snyder (1992); Pereira et al. (1995); Raghuwanshi &amp; Wallender (1998); and FAO/56 (Allen et al., 1998). The estimated values of Kp and the observed Kp, obtained from the relationship between ETo measured in a weighing lysimeter and ECA measured in a class A pan, were compared by regression analysis. The same routine was adopted to evaluate ETo estimates with the different Kp values. The results showed that all methods to estimate Kp did not predict it well, with low correlation (R²< 0.2), which resulted in estimates of ETo with high dispersion (R²< 0.8). The best Kp methods to estimate ETo were Pereira et al. (1995) and Cuenca (1989), both presenting high efficiency. The use of an arbitrary and constant Kp (0.71) to estimate ETo, produced the same precision and accuracy as the estimates of Kp based on Pereira and Cuenca methods. This fixed value is a practical and simple option to convert ECA into ETo, but this value must be calibrated for each place under different climatic conditions.Departamento de Engenharia Agrícola - UFCG2003-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662003000100018Revista Brasileira de Engenharia Agrícola e Ambiental v.7 n.1 2003reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/S1415-43662003000100018info:eu-repo/semantics/openAccessSentelhas,Paulo C.Folegatti,Marcos V.eng2005-01-04T00:00:00Zoai:scielo:S1415-43662003000100018Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2005-01-04T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false
dc.title.none.fl_str_mv Class A pan coefficients (Kp) to estimate daily reference evapotranspiration (ETo)
title Class A pan coefficients (Kp) to estimate daily reference evapotranspiration (ETo)
spellingShingle Class A pan coefficients (Kp) to estimate daily reference evapotranspiration (ETo)
Sentelhas,Paulo C.
pan coefficient
irrigation scheduling
weighing lysimeter
title_short Class A pan coefficients (Kp) to estimate daily reference evapotranspiration (ETo)
title_full Class A pan coefficients (Kp) to estimate daily reference evapotranspiration (ETo)
title_fullStr Class A pan coefficients (Kp) to estimate daily reference evapotranspiration (ETo)
title_full_unstemmed Class A pan coefficients (Kp) to estimate daily reference evapotranspiration (ETo)
title_sort Class A pan coefficients (Kp) to estimate daily reference evapotranspiration (ETo)
author Sentelhas,Paulo C.
author_facet Sentelhas,Paulo C.
Folegatti,Marcos V.
author_role author
author2 Folegatti,Marcos V.
author2_role author
dc.contributor.author.fl_str_mv Sentelhas,Paulo C.
Folegatti,Marcos V.
dc.subject.por.fl_str_mv pan coefficient
irrigation scheduling
weighing lysimeter
topic pan coefficient
irrigation scheduling
weighing lysimeter
description The class A pan coefficient (Kp) has been used to convert pan evaporation (ECA) to grass-reference evapotranspiration (ETo), an important component in water management of irrigated crops. There are several methods to determine Kp values, using wind speed, relative humidity and fetch length and conditions. This paper analyses the following methods to estimate Kp values: Doorenbos &amp; Pruitt (1977); Cuenca (1989); Snyder (1992); Pereira et al. (1995); Raghuwanshi &amp; Wallender (1998); and FAO/56 (Allen et al., 1998). The estimated values of Kp and the observed Kp, obtained from the relationship between ETo measured in a weighing lysimeter and ECA measured in a class A pan, were compared by regression analysis. The same routine was adopted to evaluate ETo estimates with the different Kp values. The results showed that all methods to estimate Kp did not predict it well, with low correlation (R²< 0.2), which resulted in estimates of ETo with high dispersion (R²< 0.8). The best Kp methods to estimate ETo were Pereira et al. (1995) and Cuenca (1989), both presenting high efficiency. The use of an arbitrary and constant Kp (0.71) to estimate ETo, produced the same precision and accuracy as the estimates of Kp based on Pereira and Cuenca methods. This fixed value is a practical and simple option to convert ECA into ETo, but this value must be calibrated for each place under different climatic conditions.
publishDate 2003
dc.date.none.fl_str_mv 2003-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662003000100018
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 10.1590/S1415-43662003000100018
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
dc.source.none.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental v.7 n.1 2003
reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
instname:Universidade Federal de Campina Grande (UFCG)
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instname_str Universidade Federal de Campina Grande (UFCG)
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reponame_str Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
collection Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
repository.name.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)
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