Reference Evapotranspiration Estimation in Climate Change Scenarios for Rio Verde in the State of Goiás, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
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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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 |
_version_ |
1809218600083390464 |