Method adjustment and equation set of maximum rainfall intensity, duration and frequency in the Mato Grosso do Sul State

Detalhes bibliográficos
Autor(a) principal: Pereira,Silvio B.
Data de Publicação: 2014
Outros Autores: Nóia,Carlos P. Z., Almeida,Rafael A., Coelho,Clívia D.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Engenharia Agrícola
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162014000400011
Resumo: Due to the lack of information concerning maximum rainfall equations for most locations in Mato Grosso do Sul State, the alternative for carrying out hydraulic work projects has been information from meteorological stations closest to the location in which the project is carried out. Alternative methods, such as 24 hours rain disaggregation method from rainfall data due to greater availability of stations and longer observations can work. Based on this approach, the objective of this study was to estimate maximum rainfall equations for Mato Grosso do Sul State by adjusting the 24 hours rain disaggregation method, depending on data obtained from rain gauge stations from Dourado and Campo Grande. For this purpose, data consisting of 105 rainfall stations were used, which are available in the ANA (Water Resources Management National Agency) database. Based on the results we concluded: the intense rainfall equations obtained by pluviogram analysis showed determination coefficient above 99%; and the performance of 24 hours rain disaggregation method was classified as excellent, based on relative average error WILMOTT concordance index (1982).
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spelling Method adjustment and equation set of maximum rainfall intensity, duration and frequency in the Mato Grosso do Sul Stateintense rainfallrainfall disaggregationweather stationsDue to the lack of information concerning maximum rainfall equations for most locations in Mato Grosso do Sul State, the alternative for carrying out hydraulic work projects has been information from meteorological stations closest to the location in which the project is carried out. Alternative methods, such as 24 hours rain disaggregation method from rainfall data due to greater availability of stations and longer observations can work. Based on this approach, the objective of this study was to estimate maximum rainfall equations for Mato Grosso do Sul State by adjusting the 24 hours rain disaggregation method, depending on data obtained from rain gauge stations from Dourado and Campo Grande. For this purpose, data consisting of 105 rainfall stations were used, which are available in the ANA (Water Resources Management National Agency) database. Based on the results we concluded: the intense rainfall equations obtained by pluviogram analysis showed determination coefficient above 99%; and the performance of 24 hours rain disaggregation method was classified as excellent, based on relative average error WILMOTT concordance index (1982).Associação Brasileira de Engenharia Agrícola2014-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162014000400011Engenharia Agrícola v.34 n.4 2014reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/S0100-69162014000400011info:eu-repo/semantics/openAccessPereira,Silvio B.Nóia,Carlos P. Z.Almeida,Rafael A.Coelho,Clívia D.eng2014-10-13T00:00:00Zoai:scielo:S0100-69162014000400011Revistahttp://www.engenhariaagricola.org.br/ORGhttps://old.scielo.br/oai/scielo-oai.phprevistasbea@sbea.org.br||sbea@sbea.org.br1809-44300100-6916opendoar:2014-10-13T00:00Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)false
dc.title.none.fl_str_mv Method adjustment and equation set of maximum rainfall intensity, duration and frequency in the Mato Grosso do Sul State
title Method adjustment and equation set of maximum rainfall intensity, duration and frequency in the Mato Grosso do Sul State
spellingShingle Method adjustment and equation set of maximum rainfall intensity, duration and frequency in the Mato Grosso do Sul State
Pereira,Silvio B.
intense rainfall
rainfall disaggregation
weather stations
title_short Method adjustment and equation set of maximum rainfall intensity, duration and frequency in the Mato Grosso do Sul State
title_full Method adjustment and equation set of maximum rainfall intensity, duration and frequency in the Mato Grosso do Sul State
title_fullStr Method adjustment and equation set of maximum rainfall intensity, duration and frequency in the Mato Grosso do Sul State
title_full_unstemmed Method adjustment and equation set of maximum rainfall intensity, duration and frequency in the Mato Grosso do Sul State
title_sort Method adjustment and equation set of maximum rainfall intensity, duration and frequency in the Mato Grosso do Sul State
author Pereira,Silvio B.
author_facet Pereira,Silvio B.
Nóia,Carlos P. Z.
Almeida,Rafael A.
Coelho,Clívia D.
author_role author
author2 Nóia,Carlos P. Z.
Almeida,Rafael A.
Coelho,Clívia D.
author2_role author
author
author
dc.contributor.author.fl_str_mv Pereira,Silvio B.
Nóia,Carlos P. Z.
Almeida,Rafael A.
Coelho,Clívia D.
dc.subject.por.fl_str_mv intense rainfall
rainfall disaggregation
weather stations
topic intense rainfall
rainfall disaggregation
weather stations
description Due to the lack of information concerning maximum rainfall equations for most locations in Mato Grosso do Sul State, the alternative for carrying out hydraulic work projects has been information from meteorological stations closest to the location in which the project is carried out. Alternative methods, such as 24 hours rain disaggregation method from rainfall data due to greater availability of stations and longer observations can work. Based on this approach, the objective of this study was to estimate maximum rainfall equations for Mato Grosso do Sul State by adjusting the 24 hours rain disaggregation method, depending on data obtained from rain gauge stations from Dourado and Campo Grande. For this purpose, data consisting of 105 rainfall stations were used, which are available in the ANA (Water Resources Management National Agency) database. Based on the results we concluded: the intense rainfall equations obtained by pluviogram analysis showed determination coefficient above 99%; and the performance of 24 hours rain disaggregation method was classified as excellent, based on relative average error WILMOTT concordance index (1982).
publishDate 2014
dc.date.none.fl_str_mv 2014-08-01
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=S0100-69162014000400011
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162014000400011
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0100-69162014000400011
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.34 n.4 2014
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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