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
Autor(a) principal: | |
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Data de Publicação: | 2016 |
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/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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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 |
_version_ |
1809218600019427328 |