Definition of water quality variability parameters and dynamics to improve management in a deep canyon type subtropical hydroelectric reservoir
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | RBRH (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312022000100215 |
Resumo: | ABSTRACT Spatial and temporal variability patterns of water quality were evaluated through monthly collection of water samples (surface, sub-surface and bottom) from 2005 to 2012. Principal Component Analysis was used to define the relative importance of each variable and Anova (two way) to analyze the significance of differences in water quality in the longitudinal axis of the reservoir. The variables: turbidity, Secchi transparency, residence time and temperature have greater importance on water quality. It was observed spatial and temporal gradients, related to the circulation, sedimentation and resuspension processes, and the influence of low flow, high residence time and winter mixing of water column on the cycling of solids and nutrients may explain the variation in these processes. The use of multivariate statistical analysis methods provided important information to understand these processes, it helps the interpretation of complex data to improve monitoring, and use of information to decision makers. |
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Definition of water quality variability parameters and dynamics to improve management in a deep canyon type subtropical hydroelectric reservoirWater qualitySpatial and seasonal gradientCanyon reservoirMonitoring programReservoir managementABSTRACT Spatial and temporal variability patterns of water quality were evaluated through monthly collection of water samples (surface, sub-surface and bottom) from 2005 to 2012. Principal Component Analysis was used to define the relative importance of each variable and Anova (two way) to analyze the significance of differences in water quality in the longitudinal axis of the reservoir. The variables: turbidity, Secchi transparency, residence time and temperature have greater importance on water quality. It was observed spatial and temporal gradients, related to the circulation, sedimentation and resuspension processes, and the influence of low flow, high residence time and winter mixing of water column on the cycling of solids and nutrients may explain the variation in these processes. The use of multivariate statistical analysis methods provided important information to understand these processes, it helps the interpretation of complex data to improve monitoring, and use of information to decision makers.Associação Brasileira de Recursos Hídricos2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312022000100215RBRH v.27 2022reponame:RBRH (Online)instname:Associação Brasileira de Recursos Hídricos (ABRH)instacron:ABRH10.1590/2318-0331.272220210126info:eu-repo/semantics/openAccessGuedes,Damião MacielRodrigues,Lucia RibeiroBravo,Juan MartinMarques,David Manuel Lelinho da MottaFragoso Júnior,Carlos RubertoCavalcanti,José RafaelNascimento,Glauciaeng2022-07-21T00:00:00Zoai:scielo:S2318-03312022000100215Revistahttps://www.scielo.br/j/rbrh/https://old.scielo.br/oai/scielo-oai.php||rbrh@abrh.org.br2318-03311414-381Xopendoar:2022-07-21T00:00RBRH (Online) - Associação Brasileira de Recursos Hídricos (ABRH)false |
dc.title.none.fl_str_mv |
Definition of water quality variability parameters and dynamics to improve management in a deep canyon type subtropical hydroelectric reservoir |
title |
Definition of water quality variability parameters and dynamics to improve management in a deep canyon type subtropical hydroelectric reservoir |
spellingShingle |
Definition of water quality variability parameters and dynamics to improve management in a deep canyon type subtropical hydroelectric reservoir Guedes,Damião Maciel Water quality Spatial and seasonal gradient Canyon reservoir Monitoring program Reservoir management |
title_short |
Definition of water quality variability parameters and dynamics to improve management in a deep canyon type subtropical hydroelectric reservoir |
title_full |
Definition of water quality variability parameters and dynamics to improve management in a deep canyon type subtropical hydroelectric reservoir |
title_fullStr |
Definition of water quality variability parameters and dynamics to improve management in a deep canyon type subtropical hydroelectric reservoir |
title_full_unstemmed |
Definition of water quality variability parameters and dynamics to improve management in a deep canyon type subtropical hydroelectric reservoir |
title_sort |
Definition of water quality variability parameters and dynamics to improve management in a deep canyon type subtropical hydroelectric reservoir |
author |
Guedes,Damião Maciel |
author_facet |
Guedes,Damião Maciel Rodrigues,Lucia Ribeiro Bravo,Juan Martin Marques,David Manuel Lelinho da Motta Fragoso Júnior,Carlos Ruberto Cavalcanti,José Rafael Nascimento,Glaucia |
author_role |
author |
author2 |
Rodrigues,Lucia Ribeiro Bravo,Juan Martin Marques,David Manuel Lelinho da Motta Fragoso Júnior,Carlos Ruberto Cavalcanti,José Rafael Nascimento,Glaucia |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Guedes,Damião Maciel Rodrigues,Lucia Ribeiro Bravo,Juan Martin Marques,David Manuel Lelinho da Motta Fragoso Júnior,Carlos Ruberto Cavalcanti,José Rafael Nascimento,Glaucia |
dc.subject.por.fl_str_mv |
Water quality Spatial and seasonal gradient Canyon reservoir Monitoring program Reservoir management |
topic |
Water quality Spatial and seasonal gradient Canyon reservoir Monitoring program Reservoir management |
description |
ABSTRACT Spatial and temporal variability patterns of water quality were evaluated through monthly collection of water samples (surface, sub-surface and bottom) from 2005 to 2012. Principal Component Analysis was used to define the relative importance of each variable and Anova (two way) to analyze the significance of differences in water quality in the longitudinal axis of the reservoir. The variables: turbidity, Secchi transparency, residence time and temperature have greater importance on water quality. It was observed spatial and temporal gradients, related to the circulation, sedimentation and resuspension processes, and the influence of low flow, high residence time and winter mixing of water column on the cycling of solids and nutrients may explain the variation in these processes. The use of multivariate statistical analysis methods provided important information to understand these processes, it helps the interpretation of complex data to improve monitoring, and use of information to decision makers. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
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=S2318-03312022000100215 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312022000100215 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/2318-0331.272220210126 |
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 Recursos Hídricos |
publisher.none.fl_str_mv |
Associação Brasileira de Recursos Hídricos |
dc.source.none.fl_str_mv |
RBRH v.27 2022 reponame:RBRH (Online) instname:Associação Brasileira de Recursos Hídricos (ABRH) instacron:ABRH |
instname_str |
Associação Brasileira de Recursos Hídricos (ABRH) |
instacron_str |
ABRH |
institution |
ABRH |
reponame_str |
RBRH (Online) |
collection |
RBRH (Online) |
repository.name.fl_str_mv |
RBRH (Online) - Associação Brasileira de Recursos Hídricos (ABRH) |
repository.mail.fl_str_mv |
||rbrh@abrh.org.br |
_version_ |
1754734702330118144 |