A TOPSIS-Based Multicriteria Approach for Reservoir Assessment
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Sociedade & natureza (Online) |
Texto Completo: | https://seer.ufu.br/index.php/sociedadenatureza/article/view/70948 |
Resumo: | Abstract Water management in the Brazilian semi-arid region has been, for decades, a challenge for institutions and decision-makers due to its intrinsic characteristics. The density of human occupation makes the region very vulnerable to drought events and problems related to the quality and need for water use are central issues. For this reason, this study presents an approach to assess the situation of water reservoirs in the semiarid based on the Water Quality Index (WQI) and Multi-Criteria Decision Making (MCDM). The WQI was used to calculate water quality and later applied as a criterion for the MCDM model proposed. The model also considers the need and availability criteria to assess the reservoirs of the two largest drainage basins in Rio Grande do Norte state, Brazil. The MCDM method used was R-TOPSIS since it is more flexible and robust for future analyses in other situations. The results showed the condition of the reservoirs, in order to support decision-makers in the operation of these facilities and enable multiple use of the waters. The combined approach proposed may provide important contributions in the analysis of water reservoirs in order to supply the semiarid region, where water issue is critical. |
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A TOPSIS-Based Multicriteria Approach for Reservoir AssessmentA TOPSIS-Based Multicriteria Approach for Reservoir AssessmentWater ReservoirWater Resource ManagementSemiarid RegionWater Quality IndexMulti-Criteria Decision MakingWater ReservoirWater Resource ManagementSemiarid RegionWater Quality IndexMulti-Criteria Decision MakingAbstract Water management in the Brazilian semi-arid region has been, for decades, a challenge for institutions and decision-makers due to its intrinsic characteristics. The density of human occupation makes the region very vulnerable to drought events and problems related to the quality and need for water use are central issues. For this reason, this study presents an approach to assess the situation of water reservoirs in the semiarid based on the Water Quality Index (WQI) and Multi-Criteria Decision Making (MCDM). The WQI was used to calculate water quality and later applied as a criterion for the MCDM model proposed. The model also considers the need and availability criteria to assess the reservoirs of the two largest drainage basins in Rio Grande do Norte state, Brazil. The MCDM method used was R-TOPSIS since it is more flexible and robust for future analyses in other situations. The results showed the condition of the reservoirs, in order to support decision-makers in the operation of these facilities and enable multiple use of the waters. The combined approach proposed may provide important contributions in the analysis of water reservoirs in order to supply the semiarid region, where water issue is critical.Abstract Water management in the Brazilian semi-arid region has been, for decades, a challenge for institutions and decision-makers due to its intrinsic characteristics. The density of human occupation makes the region very vulnerable to drought events and problems related to the quality and need for water use are central issues. For this reason, this study presents an approach to assess the situation of water reservoirs in the semiarid based on the Water Quality Index (WQI) and Multi-Criteria Decision Making (MCDM). The WQI was used to calculate water quality and later applied as a criterion for the MCDM model proposed. The model also considers the need and availability criteria to assess the reservoirs of the two largest drainage basins in Rio Grande do Norte state, Brazil. The MCDM method used was R-TOPSIS since it is more flexible and robust for future analyses in other situations. The results showed the condition of the reservoirs, in order to support decision-makers in the operation of these facilities and enable multiple use of the waters. The combined approach proposed may provide important contributions in the analysis of water reservoirs in order to supply the semiarid region, where water issue is critical.Universidade Federal de Uberlândia2024-01-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/sociedadenatureza/article/view/7094810.14393/SN-v36-2024-70948Sociedade & Natureza; Vol. 36 No. 1 (2024): Sociedade & NaturezaSociedade & Natureza; v. 36 n. 1 (2024): Sociedade & Natureza1982-45130103-1570reponame:Sociedade & natureza (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/sociedadenatureza/article/view/70948/37822Copyright (c) 2023 Renan Felinto de Farias Aires, Camila Cristina Rodrigues Salgadohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAires, Renan Felinto de FariasSalgado, Camila Cristina Rodrigues2024-05-13T15:01:06Zoai:ojs.www.seer.ufu.br:article/70948Revistahttp://www.sociedadenatureza.ig.ufu.br/PUBhttps://seer.ufu.br/index.php/sociedadenatureza/oai||sociedade.natureza.ufu@gmail.com|| lucianamelo@ufu.br1982-45130103-1570opendoar:2024-05-13T15:01:06Sociedade & natureza (Online) - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
A TOPSIS-Based Multicriteria Approach for Reservoir Assessment A TOPSIS-Based Multicriteria Approach for Reservoir Assessment |
title |
A TOPSIS-Based Multicriteria Approach for Reservoir Assessment |
spellingShingle |
A TOPSIS-Based Multicriteria Approach for Reservoir Assessment Aires, Renan Felinto de Farias Water Reservoir Water Resource Management Semiarid Region Water Quality Index Multi-Criteria Decision Making Water Reservoir Water Resource Management Semiarid Region Water Quality Index Multi-Criteria Decision Making |
title_short |
A TOPSIS-Based Multicriteria Approach for Reservoir Assessment |
title_full |
A TOPSIS-Based Multicriteria Approach for Reservoir Assessment |
title_fullStr |
A TOPSIS-Based Multicriteria Approach for Reservoir Assessment |
title_full_unstemmed |
A TOPSIS-Based Multicriteria Approach for Reservoir Assessment |
title_sort |
A TOPSIS-Based Multicriteria Approach for Reservoir Assessment |
author |
Aires, Renan Felinto de Farias |
author_facet |
Aires, Renan Felinto de Farias Salgado, Camila Cristina Rodrigues |
author_role |
author |
author2 |
Salgado, Camila Cristina Rodrigues |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Aires, Renan Felinto de Farias Salgado, Camila Cristina Rodrigues |
dc.subject.por.fl_str_mv |
Water Reservoir Water Resource Management Semiarid Region Water Quality Index Multi-Criteria Decision Making Water Reservoir Water Resource Management Semiarid Region Water Quality Index Multi-Criteria Decision Making |
topic |
Water Reservoir Water Resource Management Semiarid Region Water Quality Index Multi-Criteria Decision Making Water Reservoir Water Resource Management Semiarid Region Water Quality Index Multi-Criteria Decision Making |
description |
Abstract Water management in the Brazilian semi-arid region has been, for decades, a challenge for institutions and decision-makers due to its intrinsic characteristics. The density of human occupation makes the region very vulnerable to drought events and problems related to the quality and need for water use are central issues. For this reason, this study presents an approach to assess the situation of water reservoirs in the semiarid based on the Water Quality Index (WQI) and Multi-Criteria Decision Making (MCDM). The WQI was used to calculate water quality and later applied as a criterion for the MCDM model proposed. The model also considers the need and availability criteria to assess the reservoirs of the two largest drainage basins in Rio Grande do Norte state, Brazil. The MCDM method used was R-TOPSIS since it is more flexible and robust for future analyses in other situations. The results showed the condition of the reservoirs, in order to support decision-makers in the operation of these facilities and enable multiple use of the waters. The combined approach proposed may provide important contributions in the analysis of water reservoirs in order to supply the semiarid region, where water issue is critical. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-01-29 |
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://seer.ufu.br/index.php/sociedadenatureza/article/view/70948 10.14393/SN-v36-2024-70948 |
url |
https://seer.ufu.br/index.php/sociedadenatureza/article/view/70948 |
identifier_str_mv |
10.14393/SN-v36-2024-70948 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/sociedadenatureza/article/view/70948/37822 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Renan Felinto de Farias Aires, Camila Cristina Rodrigues Salgado https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Renan Felinto de Farias Aires, Camila Cristina Rodrigues Salgado https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Uberlândia |
publisher.none.fl_str_mv |
Universidade Federal de Uberlândia |
dc.source.none.fl_str_mv |
Sociedade & Natureza; Vol. 36 No. 1 (2024): Sociedade & Natureza Sociedade & Natureza; v. 36 n. 1 (2024): Sociedade & Natureza 1982-4513 0103-1570 reponame:Sociedade & natureza (Online) instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
instacron_str |
UFU |
institution |
UFU |
reponame_str |
Sociedade & natureza (Online) |
collection |
Sociedade & natureza (Online) |
repository.name.fl_str_mv |
Sociedade & natureza (Online) - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
||sociedade.natureza.ufu@gmail.com|| lucianamelo@ufu.br |
_version_ |
1799943977488613376 |