Modelo preditivo de fugas no sistema de distribuição municipal de água de Vila Nova de Gaia
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Livro |
Idioma: | por |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/10216/147224 |
Resumo: | An efficient management of water resources is one of the main society's challenges. Therefore, it is essential that entities arm themselves with tools that support decision-making in order to reduce water losses on the transportation moment to supply populations. This study proposes to analyse Vila Nova de Gaia's water distribution network, on a geographic point of view, and the occurred leaks in the years of 2017 and 2019. From the collected data and analysis, it was developed a model with machine learning algorithms and GIS tools to predict future leaks. The used algorithm was random forest regressor and it allowed to bound the most susceptible areas for the occurrence of water leaks in this municipality. |
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Modelo preditivo de fugas no sistema de distribuição municipal de água de Vila Nova de GaiaAn efficient management of water resources is one of the main society's challenges. Therefore, it is essential that entities arm themselves with tools that support decision-making in order to reduce water losses on the transportation moment to supply populations. This study proposes to analyse Vila Nova de Gaia's water distribution network, on a geographic point of view, and the occurred leaks in the years of 2017 and 2019. From the collected data and analysis, it was developed a model with machine learning algorithms and GIS tools to predict future leaks. The used algorithm was random forest regressor and it allowed to bound the most susceptible areas for the occurrence of water leaks in this municipality.20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/147224porOliveira, AndréGomes, António AlbertoBaptista, Ricardoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T14:55:12Zoai:repositorio-aberto.up.pt:10216/147224Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:11:34.691857Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Modelo preditivo de fugas no sistema de distribuição municipal de água de Vila Nova de Gaia |
title |
Modelo preditivo de fugas no sistema de distribuição municipal de água de Vila Nova de Gaia |
spellingShingle |
Modelo preditivo de fugas no sistema de distribuição municipal de água de Vila Nova de Gaia Oliveira, André |
title_short |
Modelo preditivo de fugas no sistema de distribuição municipal de água de Vila Nova de Gaia |
title_full |
Modelo preditivo de fugas no sistema de distribuição municipal de água de Vila Nova de Gaia |
title_fullStr |
Modelo preditivo de fugas no sistema de distribuição municipal de água de Vila Nova de Gaia |
title_full_unstemmed |
Modelo preditivo de fugas no sistema de distribuição municipal de água de Vila Nova de Gaia |
title_sort |
Modelo preditivo de fugas no sistema de distribuição municipal de água de Vila Nova de Gaia |
author |
Oliveira, André |
author_facet |
Oliveira, André Gomes, António Alberto Baptista, Ricardo |
author_role |
author |
author2 |
Gomes, António Alberto Baptista, Ricardo |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Oliveira, André Gomes, António Alberto Baptista, Ricardo |
description |
An efficient management of water resources is one of the main society's challenges. Therefore, it is essential that entities arm themselves with tools that support decision-making in order to reduce water losses on the transportation moment to supply populations. This study proposes to analyse Vila Nova de Gaia's water distribution network, on a geographic point of view, and the occurred leaks in the years of 2017 and 2019. From the collected data and analysis, it was developed a model with machine learning algorithms and GIS tools to predict future leaks. The used algorithm was random forest regressor and it allowed to bound the most susceptible areas for the occurrence of water leaks in this municipality. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022 2022-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/book |
format |
book |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10216/147224 |
url |
https://hdl.handle.net/10216/147224 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799136038585630720 |