STREAMFLOW REGIONALIZATION IN PIQUIRI RIVER BASIN

Detalhes bibliográficos
Autor(a) principal: Araujo,Fernanda C.
Data de Publicação: 2018
Outros Autores: Mello,Eloy L. de, Gollin,Gisele M., Quadros,Luciana E. de, Gomes,Benedito M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Engenharia Agrícola
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000100022
Resumo: ABSTRACT The objective of this study was to regionalize 7-day 10-year low flows, long-term annual mean, and 90% and 95% permanence flows from Piquiri (PR) river basin. The following regionalization methods were adopted: Traditional, Linear interpolation, Chaves, Modified linear interpolation, and Modified Chaves. The equations obtained by the Traditional method, adding main river length or drainage density as independent variables, significantly improved R2 equations value. Streamflow forecasting by Linear Interpolation and Chaves methods were as good as those provided by the Traditional Method, thus, these methods could be applied to Piquiri River basin, especially when drainage area is the only available spatial information.
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spelling STREAMFLOW REGIONALIZATION IN PIQUIRI RIVER BASINwater availabilitywater resources managementaverage streamflowlow flowsflows permanenceABSTRACT The objective of this study was to regionalize 7-day 10-year low flows, long-term annual mean, and 90% and 95% permanence flows from Piquiri (PR) river basin. The following regionalization methods were adopted: Traditional, Linear interpolation, Chaves, Modified linear interpolation, and Modified Chaves. The equations obtained by the Traditional method, adding main river length or drainage density as independent variables, significantly improved R2 equations value. Streamflow forecasting by Linear Interpolation and Chaves methods were as good as those provided by the Traditional Method, thus, these methods could be applied to Piquiri River basin, especially when drainage area is the only available spatial information.Associação Brasileira de Engenharia Agrícola2018-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000100022Engenharia Agrícola v.38 n.1 2018reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/1809-4430-eng.agric.v38n1p22-31/2018info:eu-repo/semantics/openAccessAraujo,Fernanda C.Mello,Eloy L. deGollin,Gisele M.Quadros,Luciana E. deGomes,Benedito M.eng2018-03-16T00:00:00Zoai:scielo:S0100-69162018000100022Revistahttp://www.engenhariaagricola.org.br/ORGhttps://old.scielo.br/oai/scielo-oai.phprevistasbea@sbea.org.br||sbea@sbea.org.br1809-44300100-6916opendoar:2018-03-16T00:00Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)false
dc.title.none.fl_str_mv STREAMFLOW REGIONALIZATION IN PIQUIRI RIVER BASIN
title STREAMFLOW REGIONALIZATION IN PIQUIRI RIVER BASIN
spellingShingle STREAMFLOW REGIONALIZATION IN PIQUIRI RIVER BASIN
Araujo,Fernanda C.
water availability
water resources management
average streamflow
low flows
flows permanence
title_short STREAMFLOW REGIONALIZATION IN PIQUIRI RIVER BASIN
title_full STREAMFLOW REGIONALIZATION IN PIQUIRI RIVER BASIN
title_fullStr STREAMFLOW REGIONALIZATION IN PIQUIRI RIVER BASIN
title_full_unstemmed STREAMFLOW REGIONALIZATION IN PIQUIRI RIVER BASIN
title_sort STREAMFLOW REGIONALIZATION IN PIQUIRI RIVER BASIN
author Araujo,Fernanda C.
author_facet Araujo,Fernanda C.
Mello,Eloy L. de
Gollin,Gisele M.
Quadros,Luciana E. de
Gomes,Benedito M.
author_role author
author2 Mello,Eloy L. de
Gollin,Gisele M.
Quadros,Luciana E. de
Gomes,Benedito M.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Araujo,Fernanda C.
Mello,Eloy L. de
Gollin,Gisele M.
Quadros,Luciana E. de
Gomes,Benedito M.
dc.subject.por.fl_str_mv water availability
water resources management
average streamflow
low flows
flows permanence
topic water availability
water resources management
average streamflow
low flows
flows permanence
description ABSTRACT The objective of this study was to regionalize 7-day 10-year low flows, long-term annual mean, and 90% and 95% permanence flows from Piquiri (PR) river basin. The following regionalization methods were adopted: Traditional, Linear interpolation, Chaves, Modified linear interpolation, and Modified Chaves. The equations obtained by the Traditional method, adding main river length or drainage density as independent variables, significantly improved R2 equations value. Streamflow forecasting by Linear Interpolation and Chaves methods were as good as those provided by the Traditional Method, thus, these methods could be applied to Piquiri River basin, especially when drainage area is the only available spatial information.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000100022
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000100022
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1809-4430-eng.agric.v38n1p22-31/2018
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
dc.source.none.fl_str_mv Engenharia Agrícola v.38 n.1 2018
reponame:Engenharia Agrícola
instname:Associação Brasileira de Engenharia Agrícola (SBEA)
instacron:SBEA
instname_str Associação Brasileira de Engenharia Agrícola (SBEA)
instacron_str SBEA
institution SBEA
reponame_str Engenharia Agrícola
collection Engenharia Agrícola
repository.name.fl_str_mv Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)
repository.mail.fl_str_mv revistasbea@sbea.org.br||sbea@sbea.org.br
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