Impact of large reservoirs on simulated discharges of Brazilian rivers

Detalhes bibliográficos
Autor(a) principal: Passaia,Otávio Augusto
Data de Publicação: 2020
Outros Autores: Siqueira,Vinícius Alencar, Brêda,João Paulo Lyra Fialho, Fleischmann,Ayan Santos, Paiva,Rodrigo Cauduro Dias de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: RBRH (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312020000100212
Resumo: ABSTRACT Tens of thousands of dams were built around the world to reduce flood risks, produce energy, and maximize benefits of limited freshwater resources. In Brazil, the main and largest reservoirs are related to hydropower plants. Improving the understanding of reservoir dynamics is important not only to evaluate their impact in the flow regime of Brazilian rivers, but also to simulate the combined effect of constructing new dams and potential alterations under future climatic conditions. Here, we analyze how an ideal representation of reservoirs in terms of forced discharge would improve a previously calibrated hydrological model under the Brazilian domain. We forced the continental-scale version of the MGB model on observed reservoir outflows from 109 hydropower dams, which are part of the Brazilian National Interconnected System controlled by the National Electrical System Operator. Model simulated flows were replaced by the reservoir outflows in all dam locations and were compared to the original discharge in downstream gauges. The forced discharge simulation presented a mean improvement for Kling-Gupta Efficiency of 21%, when compared to the original model (naturalized flow). This analysis is a preliminary step towards an explicit representation of the reservoirs in the model, what will be conducted in a future study.
id ABRH-1_42e0cb18e8ac2825459ee5931d4724d7
oai_identifier_str oai:scielo:S2318-03312020000100212
network_acronym_str ABRH-1
network_name_str RBRH (Online)
repository_id_str
spelling Impact of large reservoirs on simulated discharges of Brazilian riversHydrologic modelingReservoirsLarge-scale hydrologyMGB, BrazilABSTRACT Tens of thousands of dams were built around the world to reduce flood risks, produce energy, and maximize benefits of limited freshwater resources. In Brazil, the main and largest reservoirs are related to hydropower plants. Improving the understanding of reservoir dynamics is important not only to evaluate their impact in the flow regime of Brazilian rivers, but also to simulate the combined effect of constructing new dams and potential alterations under future climatic conditions. Here, we analyze how an ideal representation of reservoirs in terms of forced discharge would improve a previously calibrated hydrological model under the Brazilian domain. We forced the continental-scale version of the MGB model on observed reservoir outflows from 109 hydropower dams, which are part of the Brazilian National Interconnected System controlled by the National Electrical System Operator. Model simulated flows were replaced by the reservoir outflows in all dam locations and were compared to the original discharge in downstream gauges. The forced discharge simulation presented a mean improvement for Kling-Gupta Efficiency of 21%, when compared to the original model (naturalized flow). This analysis is a preliminary step towards an explicit representation of the reservoirs in the model, what will be conducted in a future study.Associação Brasileira de Recursos Hídricos2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312020000100212RBRH v.25 2020reponame:RBRH (Online)instname:Associação Brasileira de Recursos Hídricos (ABRH)instacron:ABRH10.1590/2318-0331.252020190084info:eu-repo/semantics/openAccessPassaia,Otávio AugustoSiqueira,Vinícius AlencarBrêda,João Paulo Lyra FialhoFleischmann,Ayan SantosPaiva,Rodrigo Cauduro Dias deeng2020-03-25T00:00:00Zoai:scielo:S2318-03312020000100212Revistahttps://www.scielo.br/j/rbrh/https://old.scielo.br/oai/scielo-oai.php||rbrh@abrh.org.br2318-03311414-381Xopendoar:2020-03-25T00:00RBRH (Online) - Associação Brasileira de Recursos Hídricos (ABRH)false
dc.title.none.fl_str_mv Impact of large reservoirs on simulated discharges of Brazilian rivers
title Impact of large reservoirs on simulated discharges of Brazilian rivers
spellingShingle Impact of large reservoirs on simulated discharges of Brazilian rivers
Passaia,Otávio Augusto
Hydrologic modeling
Reservoirs
Large-scale hydrology
MGB, Brazil
title_short Impact of large reservoirs on simulated discharges of Brazilian rivers
title_full Impact of large reservoirs on simulated discharges of Brazilian rivers
title_fullStr Impact of large reservoirs on simulated discharges of Brazilian rivers
title_full_unstemmed Impact of large reservoirs on simulated discharges of Brazilian rivers
title_sort Impact of large reservoirs on simulated discharges of Brazilian rivers
author Passaia,Otávio Augusto
author_facet Passaia,Otávio Augusto
Siqueira,Vinícius Alencar
Brêda,João Paulo Lyra Fialho
Fleischmann,Ayan Santos
Paiva,Rodrigo Cauduro Dias de
author_role author
author2 Siqueira,Vinícius Alencar
Brêda,João Paulo Lyra Fialho
Fleischmann,Ayan Santos
Paiva,Rodrigo Cauduro Dias de
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Passaia,Otávio Augusto
Siqueira,Vinícius Alencar
Brêda,João Paulo Lyra Fialho
Fleischmann,Ayan Santos
Paiva,Rodrigo Cauduro Dias de
dc.subject.por.fl_str_mv Hydrologic modeling
Reservoirs
Large-scale hydrology
MGB, Brazil
topic Hydrologic modeling
Reservoirs
Large-scale hydrology
MGB, Brazil
description ABSTRACT Tens of thousands of dams were built around the world to reduce flood risks, produce energy, and maximize benefits of limited freshwater resources. In Brazil, the main and largest reservoirs are related to hydropower plants. Improving the understanding of reservoir dynamics is important not only to evaluate their impact in the flow regime of Brazilian rivers, but also to simulate the combined effect of constructing new dams and potential alterations under future climatic conditions. Here, we analyze how an ideal representation of reservoirs in terms of forced discharge would improve a previously calibrated hydrological model under the Brazilian domain. We forced the continental-scale version of the MGB model on observed reservoir outflows from 109 hydropower dams, which are part of the Brazilian National Interconnected System controlled by the National Electrical System Operator. Model simulated flows were replaced by the reservoir outflows in all dam locations and were compared to the original discharge in downstream gauges. The forced discharge simulation presented a mean improvement for Kling-Gupta Efficiency of 21%, when compared to the original model (naturalized flow). This analysis is a preliminary step towards an explicit representation of the reservoirs in the model, what will be conducted in a future study.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
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=S2318-03312020000100212
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312020000100212
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2318-0331.252020190084
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.25 2020
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_ 1754734701953679360