Reference Evapotranspiration Estimation in Climate Change Scenarios for Rio Verde in the State of Goiás, Brazil

Detalhes bibliográficos
Autor(a) principal: Santos, Lucas da Costa
Data de Publicação: 2017
Outros Autores: Bender, Fabiani Denise, Reis, Elton Fialho dos, Cruz, Guilherme Henrique Terra, Capuchinho, Frank Freire
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista Geama
Texto Completo: https://www.journals.ufrpe.br/index.php/geama/article/view/1504
Resumo: Long-term changes in evapotranspiration can have extreme effects in hydrological processes as well as crop yields. The objective of this study was to quantify the expected changes in evapotranspiration in climate change scenarios using the Penman Monteith/FAO56 (PM) standard method and empirical equations for estimating reference evapotranspiration (ET0), specifically for the conditions of Rio Verde, in the state of Goiás, Brazil. Data from the National Institute of Meteorology, and Meteorology and Hydrology System of the State of Goiás were used to estimate the ET0 by using the following methods: Modified Penman, Radiation, Blaney-Criddle, Hargreaves-Samani, and Priestley-Taylor and Turc, which were compared with the PM method on the daily scale. From the ET0 obtained in each of these methods, their performance was evaluated through statistical indices in four future climate scenarios. The projections originated from two emission scenarios based on the HadGEM2-ES global climate model with medium (2040-2069) and long (2070-2099) term scenarios. The results presented that the Radiation and Turc methods are currently—and can be under the predicted conditions of future climate scenarios—the best options for estimation of ET0 in Rio Verde, when meteorological data are not available to implement the PM method. The Modified Penman and the Hargreaves-Samani methods should not be considered for estimating ET0 in the location evaluated.
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spelling Reference Evapotranspiration Estimation in Climate Change Scenarios for Rio Verde in the State of Goiás, Brazilglobal climate modelevapotranspirometric demandirrigated agricultureLong-term changes in evapotranspiration can have extreme effects in hydrological processes as well as crop yields. The objective of this study was to quantify the expected changes in evapotranspiration in climate change scenarios using the Penman Monteith/FAO56 (PM) standard method and empirical equations for estimating reference evapotranspiration (ET0), specifically for the conditions of Rio Verde, in the state of Goiás, Brazil. Data from the National Institute of Meteorology, and Meteorology and Hydrology System of the State of Goiás were used to estimate the ET0 by using the following methods: Modified Penman, Radiation, Blaney-Criddle, Hargreaves-Samani, and Priestley-Taylor and Turc, which were compared with the PM method on the daily scale. From the ET0 obtained in each of these methods, their performance was evaluated through statistical indices in four future climate scenarios. The projections originated from two emission scenarios based on the HadGEM2-ES global climate model with medium (2040-2069) and long (2070-2099) term scenarios. The results presented that the Radiation and Turc methods are currently—and can be under the predicted conditions of future climate scenarios—the best options for estimation of ET0 in Rio Verde, when meteorological data are not available to implement the PM method. The Modified Penman and the Hargreaves-Samani methods should not be considered for estimating ET0 in the location evaluated.Geama Journal - Environmental SciencesRevista Geama2017-07-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.journals.ufrpe.br/index.php/geama/article/view/1504Geama Journal - Environmental Sciences; Volume 3, Número 3 (2017): Revista Geama; 144-148Revista Geama; Volume 3, Número 3 (2017): Revista Geama; 144-1482447-0740reponame:Revista Geamainstname:Universidade Federal Rural de Pernambuco (UFRPE)instacron:UFRPEporhttps://www.journals.ufrpe.br/index.php/geama/article/view/1504/1320Copyright (c) 2017 Revista Geamainfo:eu-repo/semantics/openAccessSantos, Lucas da CostaBender, Fabiani DeniseReis, Elton Fialho dosCruz, Guilherme Henrique TerraCapuchinho, Frank Freire2017-07-31T10:46:34Zoai:ojs.10.0.7.8:article/1504Revistahttps://www.journals.ufrpe.br/index.php/geamaPUBhttps://www.journals.ufrpe.br/index.php/geama/oaijosemachado@ufrpe.br2447-07402447-0740opendoar:2017-07-31T10:46:34Revista Geama - Universidade Federal Rural de Pernambuco (UFRPE)false
dc.title.none.fl_str_mv Reference Evapotranspiration Estimation in Climate Change Scenarios for Rio Verde in the State of Goiás, Brazil
title Reference Evapotranspiration Estimation in Climate Change Scenarios for Rio Verde in the State of Goiás, Brazil
spellingShingle Reference Evapotranspiration Estimation in Climate Change Scenarios for Rio Verde in the State of Goiás, Brazil
Santos, Lucas da Costa
global climate model
evapotranspirometric demand
irrigated agriculture
title_short Reference Evapotranspiration Estimation in Climate Change Scenarios for Rio Verde in the State of Goiás, Brazil
title_full Reference Evapotranspiration Estimation in Climate Change Scenarios for Rio Verde in the State of Goiás, Brazil
title_fullStr Reference Evapotranspiration Estimation in Climate Change Scenarios for Rio Verde in the State of Goiás, Brazil
title_full_unstemmed Reference Evapotranspiration Estimation in Climate Change Scenarios for Rio Verde in the State of Goiás, Brazil
title_sort Reference Evapotranspiration Estimation in Climate Change Scenarios for Rio Verde in the State of Goiás, Brazil
author Santos, Lucas da Costa
author_facet Santos, Lucas da Costa
Bender, Fabiani Denise
Reis, Elton Fialho dos
Cruz, Guilherme Henrique Terra
Capuchinho, Frank Freire
author_role author
author2 Bender, Fabiani Denise
Reis, Elton Fialho dos
Cruz, Guilherme Henrique Terra
Capuchinho, Frank Freire
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Santos, Lucas da Costa
Bender, Fabiani Denise
Reis, Elton Fialho dos
Cruz, Guilherme Henrique Terra
Capuchinho, Frank Freire
dc.subject.por.fl_str_mv global climate model
evapotranspirometric demand
irrigated agriculture
topic global climate model
evapotranspirometric demand
irrigated agriculture
description Long-term changes in evapotranspiration can have extreme effects in hydrological processes as well as crop yields. The objective of this study was to quantify the expected changes in evapotranspiration in climate change scenarios using the Penman Monteith/FAO56 (PM) standard method and empirical equations for estimating reference evapotranspiration (ET0), specifically for the conditions of Rio Verde, in the state of Goiás, Brazil. Data from the National Institute of Meteorology, and Meteorology and Hydrology System of the State of Goiás were used to estimate the ET0 by using the following methods: Modified Penman, Radiation, Blaney-Criddle, Hargreaves-Samani, and Priestley-Taylor and Turc, which were compared with the PM method on the daily scale. From the ET0 obtained in each of these methods, their performance was evaluated through statistical indices in four future climate scenarios. The projections originated from two emission scenarios based on the HadGEM2-ES global climate model with medium (2040-2069) and long (2070-2099) term scenarios. The results presented that the Radiation and Turc methods are currently—and can be under the predicted conditions of future climate scenarios—the best options for estimation of ET0 in Rio Verde, when meteorological data are not available to implement the PM method. The Modified Penman and the Hargreaves-Samani methods should not be considered for estimating ET0 in the location evaluated.
publishDate 2017
dc.date.none.fl_str_mv 2017-07-24
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 https://www.journals.ufrpe.br/index.php/geama/article/view/1504
url https://www.journals.ufrpe.br/index.php/geama/article/view/1504
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://www.journals.ufrpe.br/index.php/geama/article/view/1504/1320
dc.rights.driver.fl_str_mv Copyright (c) 2017 Revista Geama
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Revista Geama
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Geama Journal - Environmental Sciences
Revista Geama
publisher.none.fl_str_mv Geama Journal - Environmental Sciences
Revista Geama
dc.source.none.fl_str_mv Geama Journal - Environmental Sciences; Volume 3, Número 3 (2017): Revista Geama; 144-148
Revista Geama; Volume 3, Número 3 (2017): Revista Geama; 144-148
2447-0740
reponame:Revista Geama
instname:Universidade Federal Rural de Pernambuco (UFRPE)
instacron:UFRPE
instname_str Universidade Federal Rural de Pernambuco (UFRPE)
instacron_str UFRPE
institution UFRPE
reponame_str Revista Geama
collection Revista Geama
repository.name.fl_str_mv Revista Geama - Universidade Federal Rural de Pernambuco (UFRPE)
repository.mail.fl_str_mv josemachado@ufrpe.br
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