Long-Term Correlations in São Francisco River Flow: The Influence of Sobradinho Dam

Detalhes bibliográficos
Autor(a) principal: Barreto,Ikaro Daniel de Carvalho
Data de Publicação: 2019
Outros Autores: Xavier Junior,Silvio Fernando Alves, Stosic,Tatijana
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Meteorologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862019000200293
Resumo: Abstract In this work we study the influence of the Sobradinho dam construction on daily streamflow of São Francisco River, Brasil, by analyzing long-range correlations in magnitude and sign time series obtained from streamflow anomalies, using the Detrended Fluctuation Analysis (DFA) method. The magnitude series relates to the nonlinear properties of the original time series, while the sign series relates to the linear properties. The streamflow data recorded during the period 1929-2009, were divided in the periods pre-construction (1929 to 1972) and post-construction (1980 to 2009) of Sobradinho dam and analyzed for small scales (less than 1 year) and for large scales (more than 1 year). In post-construction of Sobradinho dam, DFA-exponents of magnitude series increased at small scales (0.895 to 1.013) and at large scales (0.371 to 0.619) indicating that the memory associated with nonlinear components becames stronger. For sign series, the DFA-exponent increased at small scales (0.596 to 0.692) indicating stronger persistence of flow increments direction, and decreased at large scales (0.381 to 0.259) indicating stronger anti-persistence (positive increments are more likely to be followed by negative increments and vice versa). These results provide new evidence on the hydrological changes in the São Francisco River caused by human activities.
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spelling Long-Term Correlations in São Francisco River Flow: The Influence of Sobradinho DamstreamflowdamcorrelationsmagnitudesignAbstract In this work we study the influence of the Sobradinho dam construction on daily streamflow of São Francisco River, Brasil, by analyzing long-range correlations in magnitude and sign time series obtained from streamflow anomalies, using the Detrended Fluctuation Analysis (DFA) method. The magnitude series relates to the nonlinear properties of the original time series, while the sign series relates to the linear properties. The streamflow data recorded during the period 1929-2009, were divided in the periods pre-construction (1929 to 1972) and post-construction (1980 to 2009) of Sobradinho dam and analyzed for small scales (less than 1 year) and for large scales (more than 1 year). In post-construction of Sobradinho dam, DFA-exponents of magnitude series increased at small scales (0.895 to 1.013) and at large scales (0.371 to 0.619) indicating that the memory associated with nonlinear components becames stronger. For sign series, the DFA-exponent increased at small scales (0.596 to 0.692) indicating stronger persistence of flow increments direction, and decreased at large scales (0.381 to 0.259) indicating stronger anti-persistence (positive increments are more likely to be followed by negative increments and vice versa). These results provide new evidence on the hydrological changes in the São Francisco River caused by human activities.Sociedade Brasileira de Meteorologia2019-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862019000200293Revista Brasileira de Meteorologia v.34 n.2 2019reponame:Revista Brasileira de Meteorologia (Online)instname:Sociedade Brasileira de Meteorologia (SBMET)instacron:SBMET10.1590/0102-77863340242info:eu-repo/semantics/openAccessBarreto,Ikaro Daniel de CarvalhoXavier Junior,Silvio Fernando AlvesStosic,Tatijanaeng2019-08-22T00:00:00Zoai:scielo:S0102-77862019000200293Revistahttp://www.rbmet.org.br/port/index.phpONGhttps://old.scielo.br/oai/scielo-oai.php||rbmet@rbmet.org.br1982-43510102-7786opendoar:2019-08-22T00:00Revista Brasileira de Meteorologia (Online) - Sociedade Brasileira de Meteorologia (SBMET)false
dc.title.none.fl_str_mv Long-Term Correlations in São Francisco River Flow: The Influence of Sobradinho Dam
title Long-Term Correlations in São Francisco River Flow: The Influence of Sobradinho Dam
spellingShingle Long-Term Correlations in São Francisco River Flow: The Influence of Sobradinho Dam
Barreto,Ikaro Daniel de Carvalho
streamflow
dam
correlations
magnitude
sign
title_short Long-Term Correlations in São Francisco River Flow: The Influence of Sobradinho Dam
title_full Long-Term Correlations in São Francisco River Flow: The Influence of Sobradinho Dam
title_fullStr Long-Term Correlations in São Francisco River Flow: The Influence of Sobradinho Dam
title_full_unstemmed Long-Term Correlations in São Francisco River Flow: The Influence of Sobradinho Dam
title_sort Long-Term Correlations in São Francisco River Flow: The Influence of Sobradinho Dam
author Barreto,Ikaro Daniel de Carvalho
author_facet Barreto,Ikaro Daniel de Carvalho
Xavier Junior,Silvio Fernando Alves
Stosic,Tatijana
author_role author
author2 Xavier Junior,Silvio Fernando Alves
Stosic,Tatijana
author2_role author
author
dc.contributor.author.fl_str_mv Barreto,Ikaro Daniel de Carvalho
Xavier Junior,Silvio Fernando Alves
Stosic,Tatijana
dc.subject.por.fl_str_mv streamflow
dam
correlations
magnitude
sign
topic streamflow
dam
correlations
magnitude
sign
description Abstract In this work we study the influence of the Sobradinho dam construction on daily streamflow of São Francisco River, Brasil, by analyzing long-range correlations in magnitude and sign time series obtained from streamflow anomalies, using the Detrended Fluctuation Analysis (DFA) method. The magnitude series relates to the nonlinear properties of the original time series, while the sign series relates to the linear properties. The streamflow data recorded during the period 1929-2009, were divided in the periods pre-construction (1929 to 1972) and post-construction (1980 to 2009) of Sobradinho dam and analyzed for small scales (less than 1 year) and for large scales (more than 1 year). In post-construction of Sobradinho dam, DFA-exponents of magnitude series increased at small scales (0.895 to 1.013) and at large scales (0.371 to 0.619) indicating that the memory associated with nonlinear components becames stronger. For sign series, the DFA-exponent increased at small scales (0.596 to 0.692) indicating stronger persistence of flow increments direction, and decreased at large scales (0.381 to 0.259) indicating stronger anti-persistence (positive increments are more likely to be followed by negative increments and vice versa). These results provide new evidence on the hydrological changes in the São Francisco River caused by human activities.
publishDate 2019
dc.date.none.fl_str_mv 2019-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862019000200293
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862019000200293
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0102-77863340242
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 Sociedade Brasileira de Meteorologia
publisher.none.fl_str_mv Sociedade Brasileira de Meteorologia
dc.source.none.fl_str_mv Revista Brasileira de Meteorologia v.34 n.2 2019
reponame:Revista Brasileira de Meteorologia (Online)
instname:Sociedade Brasileira de Meteorologia (SBMET)
instacron:SBMET
instname_str Sociedade Brasileira de Meteorologia (SBMET)
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reponame_str Revista Brasileira de Meteorologia (Online)
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repository.name.fl_str_mv Revista Brasileira de Meteorologia (Online) - Sociedade Brasileira de Meteorologia (SBMET)
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