STATIONARITY OF EXTREME STREAMFLOW TIME SERIES FOR FLOOD CONTROL OPERATION IN HYDROPOWER RESERVOIRS
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Cadernos do IME. Série Estatística (Online) |
Texto Completo: | https://www.e-publicacoes.uerj.br/cadest/article/view/50174 |
Resumo: | DOI: 10.12957/cadest.2019.50174The Brazilian Power Sector consider flood prevention in the operation by reserving during the rainy season empty volumes in its hydropower reservoirs. The currently used flood control methodology assumes seasonal stationarity for the naturalized daily streamflow records calculated by the Brazilian National Operator System (NOS/ONS). Considering that climatic and/or land uses and occupation changes may be altering hydrological regime, this article investigates the stationarity of maximum annual streamflow time series of duration compatible with flood events at the hydropower plants located in the Paraná river basin.Keywords: Statistical Tests, Extreme Streamflow Time Series Stationarity, Hydropower, Flood Control Studies. |
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STATIONARITY OF EXTREME STREAMFLOW TIME SERIES FOR FLOOD CONTROL OPERATION IN HYDROPOWER RESERVOIRSStatistical TestsExtreme Streamflow Time Series StationarityHydropowerDOI: 10.12957/cadest.2019.50174The Brazilian Power Sector consider flood prevention in the operation by reserving during the rainy season empty volumes in its hydropower reservoirs. The currently used flood control methodology assumes seasonal stationarity for the naturalized daily streamflow records calculated by the Brazilian National Operator System (NOS/ONS). Considering that climatic and/or land uses and occupation changes may be altering hydrological regime, this article investigates the stationarity of maximum annual streamflow time series of duration compatible with flood events at the hydropower plants located in the Paraná river basin.Keywords: Statistical Tests, Extreme Streamflow Time Series Stationarity, Hydropower, Flood Control Studies.Universidade do Estado do Rio de Janeiro2020-05-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado pelos Paresapplication/pdfhttps://www.e-publicacoes.uerj.br/cadest/article/view/5017410.12957/cadest.0.50174Cadernos do IME - Série Estatística; v. 46 (2019): Volume 46, Junho 2019; 162317-45361413-9022reponame:Cadernos do IME. Série Estatística (Online)instname:Universidade do Estado do Rio de Janeiro (UERJ)instacron:UERJenghttps://www.e-publicacoes.uerj.br/cadest/article/view/50174/33559Copyright (c) 2020 Cadernos do IME - Série Estatísticainfo:eu-repo/semantics/openAccessChan, Priscilla DafneCosta, Fernanda da SerraDamázio, Jorge MachadoRotunno Filho, Otto Correa2023-10-16T21:41:01Zoai:ojs.www.e-publicacoes.uerj.br:article/50174Revistahttps://www.e-publicacoes.uerj.br/index.php/cadestPUBhttps://www.e-publicacoes.uerj.br/index.php/cadest/oaifabiano@ime.uerj.br||fabiano@ime.uerj.br2317-45361413-9022opendoar:2024-05-17T13:37:36.496663Cadernos do IME. Série Estatística (Online) - Universidade do Estado do Rio de Janeiro (UERJ)false |
dc.title.none.fl_str_mv |
STATIONARITY OF EXTREME STREAMFLOW TIME SERIES FOR FLOOD CONTROL OPERATION IN HYDROPOWER RESERVOIRS |
title |
STATIONARITY OF EXTREME STREAMFLOW TIME SERIES FOR FLOOD CONTROL OPERATION IN HYDROPOWER RESERVOIRS |
spellingShingle |
STATIONARITY OF EXTREME STREAMFLOW TIME SERIES FOR FLOOD CONTROL OPERATION IN HYDROPOWER RESERVOIRS Chan, Priscilla Dafne Statistical Tests Extreme Streamflow Time Series Stationarity Hydropower |
title_short |
STATIONARITY OF EXTREME STREAMFLOW TIME SERIES FOR FLOOD CONTROL OPERATION IN HYDROPOWER RESERVOIRS |
title_full |
STATIONARITY OF EXTREME STREAMFLOW TIME SERIES FOR FLOOD CONTROL OPERATION IN HYDROPOWER RESERVOIRS |
title_fullStr |
STATIONARITY OF EXTREME STREAMFLOW TIME SERIES FOR FLOOD CONTROL OPERATION IN HYDROPOWER RESERVOIRS |
title_full_unstemmed |
STATIONARITY OF EXTREME STREAMFLOW TIME SERIES FOR FLOOD CONTROL OPERATION IN HYDROPOWER RESERVOIRS |
title_sort |
STATIONARITY OF EXTREME STREAMFLOW TIME SERIES FOR FLOOD CONTROL OPERATION IN HYDROPOWER RESERVOIRS |
author |
Chan, Priscilla Dafne |
author_facet |
Chan, Priscilla Dafne Costa, Fernanda da Serra Damázio, Jorge Machado Rotunno Filho, Otto Correa |
author_role |
author |
author2 |
Costa, Fernanda da Serra Damázio, Jorge Machado Rotunno Filho, Otto Correa |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Chan, Priscilla Dafne Costa, Fernanda da Serra Damázio, Jorge Machado Rotunno Filho, Otto Correa |
dc.subject.por.fl_str_mv |
Statistical Tests Extreme Streamflow Time Series Stationarity Hydropower |
topic |
Statistical Tests Extreme Streamflow Time Series Stationarity Hydropower |
description |
DOI: 10.12957/cadest.2019.50174The Brazilian Power Sector consider flood prevention in the operation by reserving during the rainy season empty volumes in its hydropower reservoirs. The currently used flood control methodology assumes seasonal stationarity for the naturalized daily streamflow records calculated by the Brazilian National Operator System (NOS/ONS). Considering that climatic and/or land uses and occupation changes may be altering hydrological regime, this article investigates the stationarity of maximum annual streamflow time series of duration compatible with flood events at the hydropower plants located in the Paraná river basin.Keywords: Statistical Tests, Extreme Streamflow Time Series Stationarity, Hydropower, Flood Control Studies. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-05-11 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Avaliado pelos Pares |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.e-publicacoes.uerj.br/cadest/article/view/50174 10.12957/cadest.0.50174 |
url |
https://www.e-publicacoes.uerj.br/cadest/article/view/50174 |
identifier_str_mv |
10.12957/cadest.0.50174 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.e-publicacoes.uerj.br/cadest/article/view/50174/33559 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Cadernos do IME - Série Estatística info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Cadernos do IME - Série Estatística |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade do Estado do Rio de Janeiro |
publisher.none.fl_str_mv |
Universidade do Estado do Rio de Janeiro |
dc.source.none.fl_str_mv |
Cadernos do IME - Série Estatística; v. 46 (2019): Volume 46, Junho 2019; 16 2317-4536 1413-9022 reponame:Cadernos do IME. Série Estatística (Online) instname:Universidade do Estado do Rio de Janeiro (UERJ) instacron:UERJ |
instname_str |
Universidade do Estado do Rio de Janeiro (UERJ) |
instacron_str |
UERJ |
institution |
UERJ |
reponame_str |
Cadernos do IME. Série Estatística (Online) |
collection |
Cadernos do IME. Série Estatística (Online) |
repository.name.fl_str_mv |
Cadernos do IME. Série Estatística (Online) - Universidade do Estado do Rio de Janeiro (UERJ) |
repository.mail.fl_str_mv |
fabiano@ime.uerj.br||fabiano@ime.uerj.br |
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1799319015647084544 |