Calibration of reference evapotranspiration models in Pará

The use of empirical agrometeorological models that can be adjusted to the climatic conditions of different regions has become increasingly necessary to improve water management in grain-producing municipalities. The aim of this work is to examine the correlation between various reference evapotrans...

Descripción completa

Detalles Bibliográficos
Autores: Farias, Vivian Dielly da Silva, Costa, Deborah Luciany Pires, Pinto, Joao Vitor de Novoa, Souza, Paulo Jorge Oliveira Ponte de, Souza, Everaldo Barreiro de, Ortega-Farias, Samuel
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:Brasil
Institución:Universidade Estadual de Maringá (UEM)
Repositorio:Acta Scientiarum. Agronomy (Online)
Idioma:inglés
OAI Identifier:oai:periodicos.uem.br/ojs:article/42475
Acceso en línea:http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42475
Access Level:acceso abierto
Palabra clave:Penman Monteith FAO 56
climate monitoring
water requirements
id BR_4531e09bc272fac6830ccef50457033e
oai_identifier_str oai:periodicos.uem.br/ojs:article/42475
network_acronym_str BR
network_name_str Brasil
repository_id_str
spelling Calibration of reference evapotranspiration models in ParáPenman Monteith FAO 56climate monitoringwater requirementsThe use of empirical agrometeorological models that can be adjusted to the climatic conditions of different regions has become increasingly necessary to improve water management in grain-producing municipalities. The aim of this work is to examine the correlation between various reference evapotranspiration (ETo) estimation methods and the standard FAO 56 Penman-Monteith method, as well as to determine correction factors, when necessary, for crop-producing municipalities in the northeast of Pará, during both the rainy and dry seasons. We compared simpler methods of ETo estimation to the FAO 56 Penman-Monteith method. For this purpose, meteorological data from Tracuateua, Bragança, Capitão Poço and Castanhal, provided by the National Institute of Meteorology (INMET), were used. The calibration of equations was performed through linear regression. The accuracy of different estimation methods was examined. The Turc, FAO 24 Blaney-Criddle and regression methods presented the best results for all statistical criteria; the Priestley-Taylor, Makkink and FAO 24 Radiation methods presented excellent results after calibration. The methods of Camargo and Hargreaves-Samani produced the worst results for all the criteria.Universidade Estadual de Maringá2019-11-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/4247510.4025/actasciagron.v42i1.42475Acta Scientiarum. Agronomy; Vol 42 (2020): Publicação contínua; e42475Acta Scientiarum. Agronomy; v. 42 (2020): Publicação contínua; e424751807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42475/751375148986Copyright (c) 2020 Acta Scientiarum. Agronomyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccess Farias, Vivian Dielly da SilvaCosta, Deborah Luciany Pires Pinto, Joao Vitor de NovoaSouza, Paulo Jorge Oliveira Ponte de Souza, Everaldo Barreiro deOrtega-Farias, Samuel2020-11-16T18:51:03Zoai:periodicos.uem.br/ojs:article/42475Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2020-11-16T18:51:03Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Calibration of reference evapotranspiration models in Pará
title Calibration of reference evapotranspiration models in Pará
spellingShingle Calibration of reference evapotranspiration models in Pará
Farias, Vivian Dielly da Silva
Penman Monteith FAO 56
climate monitoring
water requirements
title_short Calibration of reference evapotranspiration models in Pará
title_full Calibration of reference evapotranspiration models in Pará
title_fullStr Calibration of reference evapotranspiration models in Pará
title_full_unstemmed Calibration of reference evapotranspiration models in Pará
title_sort Calibration of reference evapotranspiration models in Pará
dc.creator.none.fl_str_mv Farias, Vivian Dielly da Silva
Costa, Deborah Luciany Pires
Pinto, Joao Vitor de Novoa
Souza, Paulo Jorge Oliveira Ponte de
Souza, Everaldo Barreiro de
Ortega-Farias, Samuel
author Farias, Vivian Dielly da Silva
author_facet Farias, Vivian Dielly da Silva
Costa, Deborah Luciany Pires
Pinto, Joao Vitor de Novoa
Souza, Paulo Jorge Oliveira Ponte de
Souza, Everaldo Barreiro de
Ortega-Farias, Samuel
author_role author
author2 Costa, Deborah Luciany Pires
Pinto, Joao Vitor de Novoa
Souza, Paulo Jorge Oliveira Ponte de
Souza, Everaldo Barreiro de
Ortega-Farias, Samuel
author2_role author
author
author
author
author
dc.subject.por.fl_str_mv Penman Monteith FAO 56
climate monitoring
water requirements
topic Penman Monteith FAO 56
climate monitoring
water requirements
description The use of empirical agrometeorological models that can be adjusted to the climatic conditions of different regions has become increasingly necessary to improve water management in grain-producing municipalities. The aim of this work is to examine the correlation between various reference evapotranspiration (ETo) estimation methods and the standard FAO 56 Penman-Monteith method, as well as to determine correction factors, when necessary, for crop-producing municipalities in the northeast of Pará, during both the rainy and dry seasons. We compared simpler methods of ETo estimation to the FAO 56 Penman-Monteith method. For this purpose, meteorological data from Tracuateua, Bragança, Capitão Poço and Castanhal, provided by the National Institute of Meteorology (INMET), were used. The calibration of equations was performed through linear regression. The accuracy of different estimation methods was examined. The Turc, FAO 24 Blaney-Criddle and regression methods presented the best results for all statistical criteria; the Priestley-Taylor, Makkink and FAO 24 Radiation methods presented excellent results after calibration. The methods of Camargo and Hargreaves-Samani produced the worst results for all the criteria.
publishDate 2019
dc.date.none.fl_str_mv 2019-11-20
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42475
10.4025/actasciagron.v42i1.42475
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42475
identifier_str_mv 10.4025/actasciagron.v42i1.42475
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42475/751375148986
dc.rights.driver.fl_str_mv Copyright (c) 2020 Acta Scientiarum. Agronomy
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Acta Scientiarum. Agronomy
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual de Maringá
publisher.none.fl_str_mv Universidade Estadual de Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Agronomy; Vol 42 (2020): Publicação contínua; e42475
Acta Scientiarum. Agronomy; v. 42 (2020): Publicação contínua; e42475
1807-8621
1679-9275
reponame:Acta Scientiarum. Agronomy (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta Scientiarum. Agronomy (Online)
collection Acta Scientiarum. Agronomy (Online)
repository.name.fl_str_mv Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br
_version_ 1853660140358598656
score 15.228081