IDENTIFICATION OF SUITABLE AREAS FOR THE INSTALLATION OF HYDROELECTRIC PROJECTS BASED ON THE STREAM-POWER MODEL

Detalhes bibliográficos
Autor(a) principal: Alves, Alexandre Xavier
Data de Publicação: 2023
Outros Autores: Cremon, Édipo Henrique, Alves, Fabio Corrêa, Rabelo, Max Well de Oliveira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ra'e Ga (Online)
Texto Completo: https://revistas.ufpr.br/raega/article/view/93382
Resumo: Hydropower is mostly driven by the river discharge and the gradient slope of the river channels. These two parameters constitute a classical geomorphological model, known as stream-power. Based on the stream-power model, this study aims to identify locations with greater potential for the installation of Small Hydroelectric Power Plants (SHPs) in the Meia Ponte River basin, situated in the central-southern region of the State of Goiás, in Brazil. To achieve this, hydrological data from six hydrometric stations and the Copernicus digital elevation model were utilized to pinpoint areas with higher river power. The results revealed 161.46 km of segments with river power ranging from 5000 to 30000 kW · m-1 and 23 points characterized by pronounced changes in channel slope, indicating a suitable potential for SHP installation. Besides the river-related data considered in this study, future research should encompass various other aspects, including environmental, social, economic, operational, and cultural factors when searching for the best locations for SHP installations.
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spelling IDENTIFICATION OF SUITABLE AREAS FOR THE INSTALLATION OF HYDROELECTRIC PROJECTS BASED ON THE STREAM-POWER MODELGeomorphologySmall Hydroelectric Power Plants, Knickpoints, Energy, Meia Ponte RiverHydropower is mostly driven by the river discharge and the gradient slope of the river channels. These two parameters constitute a classical geomorphological model, known as stream-power. Based on the stream-power model, this study aims to identify locations with greater potential for the installation of Small Hydroelectric Power Plants (SHPs) in the Meia Ponte River basin, situated in the central-southern region of the State of Goiás, in Brazil. To achieve this, hydrological data from six hydrometric stations and the Copernicus digital elevation model were utilized to pinpoint areas with higher river power. The results revealed 161.46 km of segments with river power ranging from 5000 to 30000 kW · m-1 and 23 points characterized by pronounced changes in channel slope, indicating a suitable potential for SHP installation. Besides the river-related data considered in this study, future research should encompass various other aspects, including environmental, social, economic, operational, and cultural factors when searching for the best locations for SHP installations.UFPRConselho Nacional de Desenvolvimento Científico e Tecnológico - CNPqAlves, Alexandre XavierCremon, Édipo HenriqueAlves, Fabio CorrêaRabelo, Max Well de Oliveira2023-12-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/raega/article/view/9338210.5380/raega.v58i0.93382RA'E GA Journal - The Geographic Space in Analysis; v. 58 (2023); 3-19RAEGA - O Espaço Geográfico em Análise; v. 58 (2023); 3-192177-27381516-413610.5380/raega.v58i0reponame:Ra'e Ga (Online)instname:Universidade Federal do Paraná (UFPR)instacron:UFPRenghttps://revistas.ufpr.br/raega/article/view/93382/51084https://revistas.ufpr.br/raega/article/downloadSuppFile/93382/60748Direitos autorais 2023 RAEGA - O Espaço Geográfico em Análiseinfo:eu-repo/semantics/openAccess2023-12-29T18:43:40Zoai:revistas.ufpr.br:article/93382Revistahttps://revistas.ufpr.br/raegaPUBhttps://revistas.ufpr.br/raega/oai||raega@ufpr.br2177-27382177-2738opendoar:2023-12-29T18:43:40Ra'e Ga (Online) - Universidade Federal do Paraná (UFPR)false
dc.title.none.fl_str_mv IDENTIFICATION OF SUITABLE AREAS FOR THE INSTALLATION OF HYDROELECTRIC PROJECTS BASED ON THE STREAM-POWER MODEL
title IDENTIFICATION OF SUITABLE AREAS FOR THE INSTALLATION OF HYDROELECTRIC PROJECTS BASED ON THE STREAM-POWER MODEL
spellingShingle IDENTIFICATION OF SUITABLE AREAS FOR THE INSTALLATION OF HYDROELECTRIC PROJECTS BASED ON THE STREAM-POWER MODEL
Alves, Alexandre Xavier
Geomorphology
Small Hydroelectric Power Plants, Knickpoints, Energy, Meia Ponte River
title_short IDENTIFICATION OF SUITABLE AREAS FOR THE INSTALLATION OF HYDROELECTRIC PROJECTS BASED ON THE STREAM-POWER MODEL
title_full IDENTIFICATION OF SUITABLE AREAS FOR THE INSTALLATION OF HYDROELECTRIC PROJECTS BASED ON THE STREAM-POWER MODEL
title_fullStr IDENTIFICATION OF SUITABLE AREAS FOR THE INSTALLATION OF HYDROELECTRIC PROJECTS BASED ON THE STREAM-POWER MODEL
title_full_unstemmed IDENTIFICATION OF SUITABLE AREAS FOR THE INSTALLATION OF HYDROELECTRIC PROJECTS BASED ON THE STREAM-POWER MODEL
title_sort IDENTIFICATION OF SUITABLE AREAS FOR THE INSTALLATION OF HYDROELECTRIC PROJECTS BASED ON THE STREAM-POWER MODEL
author Alves, Alexandre Xavier
author_facet Alves, Alexandre Xavier
Cremon, Édipo Henrique
Alves, Fabio Corrêa
Rabelo, Max Well de Oliveira
author_role author
author2 Cremon, Édipo Henrique
Alves, Fabio Corrêa
Rabelo, Max Well de Oliveira
author2_role author
author
author
dc.contributor.none.fl_str_mv Conselho Nacional de Desenvolvimento Científico e Tecnológico - CNPq
dc.contributor.author.fl_str_mv Alves, Alexandre Xavier
Cremon, Édipo Henrique
Alves, Fabio Corrêa
Rabelo, Max Well de Oliveira
dc.subject.por.fl_str_mv Geomorphology
Small Hydroelectric Power Plants, Knickpoints, Energy, Meia Ponte River
topic Geomorphology
Small Hydroelectric Power Plants, Knickpoints, Energy, Meia Ponte River
description Hydropower is mostly driven by the river discharge and the gradient slope of the river channels. These two parameters constitute a classical geomorphological model, known as stream-power. Based on the stream-power model, this study aims to identify locations with greater potential for the installation of Small Hydroelectric Power Plants (SHPs) in the Meia Ponte River basin, situated in the central-southern region of the State of Goiás, in Brazil. To achieve this, hydrological data from six hydrometric stations and the Copernicus digital elevation model were utilized to pinpoint areas with higher river power. The results revealed 161.46 km of segments with river power ranging from 5000 to 30000 kW · m-1 and 23 points characterized by pronounced changes in channel slope, indicating a suitable potential for SHP installation. Besides the river-related data considered in this study, future research should encompass various other aspects, including environmental, social, economic, operational, and cultural factors when searching for the best locations for SHP installations.
publishDate 2023
dc.date.none.fl_str_mv 2023-12-23
dc.type.none.fl_str_mv
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufpr.br/raega/article/view/93382
10.5380/raega.v58i0.93382
url https://revistas.ufpr.br/raega/article/view/93382
identifier_str_mv 10.5380/raega.v58i0.93382
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ufpr.br/raega/article/view/93382/51084
https://revistas.ufpr.br/raega/article/downloadSuppFile/93382/60748
dc.rights.driver.fl_str_mv Direitos autorais 2023 RAEGA - O Espaço Geográfico em Análise
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Direitos autorais 2023 RAEGA - O Espaço Geográfico em Análise
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UFPR
publisher.none.fl_str_mv UFPR
dc.source.none.fl_str_mv RA'E GA Journal - The Geographic Space in Analysis; v. 58 (2023); 3-19
RAEGA - O Espaço Geográfico em Análise; v. 58 (2023); 3-19
2177-2738
1516-4136
10.5380/raega.v58i0
reponame:Ra'e Ga (Online)
instname:Universidade Federal do Paraná (UFPR)
instacron:UFPR
instname_str Universidade Federal do Paraná (UFPR)
instacron_str UFPR
institution UFPR
reponame_str Ra'e Ga (Online)
collection Ra'e Ga (Online)
repository.name.fl_str_mv Ra'e Ga (Online) - Universidade Federal do Paraná (UFPR)
repository.mail.fl_str_mv ||raega@ufpr.br
_version_ 1799712043523112960

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