Mapping reference crop evapotranspiration in Bahia, Brazil, using Hargreaves-Samani method | Mapeando a evapotranspiração de culturas de referência na Bahia, no Brasil, usando o método Hargreaves-Samani

Detalhes bibliográficos
Autor(a) principal: Silva, Neilon Duarte da
Data de Publicação: 2016
Outros Autores: Oliveira, Aureo Silva de, Borges, Tatyana Keyty Souza, Gomes, Ludmila Ferreira, Fonseca, Sandy Sousa, Guedes, Fabineia Amaral, Couto, João Paulo Chaves
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista Geama
Texto Completo: https://www.journals.ufrpe.br/index.php/geama/article/view/879
Resumo: The objective of this work was to study the spatial behavior of the reference evapotranspiration (ETo) in the state of Bahia according to the method of 1985 Hargreaves Samani. The study includes data from 452 meteorological weather stations managed by the National Institute of Meteorology (INMET) and the National Water Agency (ANA). These stations have data of maximum, minimum and average temperatures covering the period from 1965 to 2013. Monthly maps of spatial distribution of ETo were made by geostatistical techniques with ArcGIS 9.3 software. There is also predominance of higher evaporative demands in the north of the state. The month with the highest spatial dependence of ETo was the month of October, with similar results were observed for the months of May, July, August and September. The values of spatial dependence obtained in these respective months showed an average range of 1.07 degrees. The ETo rates corresponding to the Atlantic Forest areas near the Atlantic coast in the east are uniformly distributed where predominate Humid and Super-Moist climates. Alternative models to combination equations such as Penman-Monteith provide easier and reliable way to carry out studies on ETo estimation for water resources management.  The geostatistical methods are important tools for regionalizing meteorological variables, including ETo.
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spelling Mapping reference crop evapotranspiration in Bahia, Brazil, using Hargreaves-Samani method | Mapeando a evapotranspiração de culturas de referência na Bahia, no Brasil, usando o método Hargreaves-SamaniMeteorologiaSIGgeoestatísticaThe objective of this work was to study the spatial behavior of the reference evapotranspiration (ETo) in the state of Bahia according to the method of 1985 Hargreaves Samani. The study includes data from 452 meteorological weather stations managed by the National Institute of Meteorology (INMET) and the National Water Agency (ANA). These stations have data of maximum, minimum and average temperatures covering the period from 1965 to 2013. Monthly maps of spatial distribution of ETo were made by geostatistical techniques with ArcGIS 9.3 software. There is also predominance of higher evaporative demands in the north of the state. The month with the highest spatial dependence of ETo was the month of October, with similar results were observed for the months of May, July, August and September. The values of spatial dependence obtained in these respective months showed an average range of 1.07 degrees. The ETo rates corresponding to the Atlantic Forest areas near the Atlantic coast in the east are uniformly distributed where predominate Humid and Super-Moist climates. Alternative models to combination equations such as Penman-Monteith provide easier and reliable way to carry out studies on ETo estimation for water resources management.  The geostatistical methods are important tools for regionalizing meteorological variables, including ETo.Geama Journal - Environmental SciencesRevista Geama2016-10-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.journals.ufrpe.br/index.php/geama/article/view/879Geama Journal - Environmental Sciences; Volume 2, Número 4 (2016): Revista Geama; 396-406Revista Geama; Volume 2, Número 4 (2016): Revista Geama; 396-4062447-0740reponame:Revista Geamainstname:Universidade Federal Rural de Pernambuco (UFRPE)instacron:UFRPEporhttps://www.journals.ufrpe.br/index.php/geama/article/view/879/1383Copyright (c) 2016 Revista Geamainfo:eu-repo/semantics/openAccessSilva, Neilon Duarte daOliveira, Aureo Silva deBorges, Tatyana Keyty SouzaGomes, Ludmila FerreiraFonseca, Sandy SousaGuedes, Fabineia AmaralCouto, João Paulo Chaves2017-12-24T20:22:05Zoai:ojs.10.0.7.8:article/879Revistahttps://www.journals.ufrpe.br/index.php/geamaPUBhttps://www.journals.ufrpe.br/index.php/geama/oaijosemachado@ufrpe.br2447-07402447-0740opendoar:2017-12-24T20:22:05Revista Geama - Universidade Federal Rural de Pernambuco (UFRPE)false
dc.title.none.fl_str_mv Mapping reference crop evapotranspiration in Bahia, Brazil, using Hargreaves-Samani method | Mapeando a evapotranspiração de culturas de referência na Bahia, no Brasil, usando o método Hargreaves-Samani
title Mapping reference crop evapotranspiration in Bahia, Brazil, using Hargreaves-Samani method | Mapeando a evapotranspiração de culturas de referência na Bahia, no Brasil, usando o método Hargreaves-Samani
spellingShingle Mapping reference crop evapotranspiration in Bahia, Brazil, using Hargreaves-Samani method | Mapeando a evapotranspiração de culturas de referência na Bahia, no Brasil, usando o método Hargreaves-Samani
Silva, Neilon Duarte da
Meteorologia
SIG
geoestatística
title_short Mapping reference crop evapotranspiration in Bahia, Brazil, using Hargreaves-Samani method | Mapeando a evapotranspiração de culturas de referência na Bahia, no Brasil, usando o método Hargreaves-Samani
title_full Mapping reference crop evapotranspiration in Bahia, Brazil, using Hargreaves-Samani method | Mapeando a evapotranspiração de culturas de referência na Bahia, no Brasil, usando o método Hargreaves-Samani
title_fullStr Mapping reference crop evapotranspiration in Bahia, Brazil, using Hargreaves-Samani method | Mapeando a evapotranspiração de culturas de referência na Bahia, no Brasil, usando o método Hargreaves-Samani
title_full_unstemmed Mapping reference crop evapotranspiration in Bahia, Brazil, using Hargreaves-Samani method | Mapeando a evapotranspiração de culturas de referência na Bahia, no Brasil, usando o método Hargreaves-Samani
title_sort Mapping reference crop evapotranspiration in Bahia, Brazil, using Hargreaves-Samani method | Mapeando a evapotranspiração de culturas de referência na Bahia, no Brasil, usando o método Hargreaves-Samani
author Silva, Neilon Duarte da
author_facet Silva, Neilon Duarte da
Oliveira, Aureo Silva de
Borges, Tatyana Keyty Souza
Gomes, Ludmila Ferreira
Fonseca, Sandy Sousa
Guedes, Fabineia Amaral
Couto, João Paulo Chaves
author_role author
author2 Oliveira, Aureo Silva de
Borges, Tatyana Keyty Souza
Gomes, Ludmila Ferreira
Fonseca, Sandy Sousa
Guedes, Fabineia Amaral
Couto, João Paulo Chaves
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Silva, Neilon Duarte da
Oliveira, Aureo Silva de
Borges, Tatyana Keyty Souza
Gomes, Ludmila Ferreira
Fonseca, Sandy Sousa
Guedes, Fabineia Amaral
Couto, João Paulo Chaves
dc.subject.por.fl_str_mv Meteorologia
SIG
geoestatística
topic Meteorologia
SIG
geoestatística
description The objective of this work was to study the spatial behavior of the reference evapotranspiration (ETo) in the state of Bahia according to the method of 1985 Hargreaves Samani. The study includes data from 452 meteorological weather stations managed by the National Institute of Meteorology (INMET) and the National Water Agency (ANA). These stations have data of maximum, minimum and average temperatures covering the period from 1965 to 2013. Monthly maps of spatial distribution of ETo were made by geostatistical techniques with ArcGIS 9.3 software. There is also predominance of higher evaporative demands in the north of the state. The month with the highest spatial dependence of ETo was the month of October, with similar results were observed for the months of May, July, August and September. The values of spatial dependence obtained in these respective months showed an average range of 1.07 degrees. The ETo rates corresponding to the Atlantic Forest areas near the Atlantic coast in the east are uniformly distributed where predominate Humid and Super-Moist climates. Alternative models to combination equations such as Penman-Monteith provide easier and reliable way to carry out studies on ETo estimation for water resources management.  The geostatistical methods are important tools for regionalizing meteorological variables, including ETo.
publishDate 2016
dc.date.none.fl_str_mv 2016-10-25
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/879
url https://www.journals.ufrpe.br/index.php/geama/article/view/879
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/879/1383
dc.rights.driver.fl_str_mv Copyright (c) 2016 Revista Geama
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 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 2, Número 4 (2016): Revista Geama; 396-406
Revista Geama; Volume 2, Número 4 (2016): Revista Geama; 396-406
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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