Modelo preditivo de fugas no sistema de distribuição municipal de água de Vila Nova de Gaia

Detalhes bibliográficos
Autor(a) principal: Oliveira, André
Data de Publicação: 2022
Outros Autores: Gomes, António Alberto, Baptista, Ricardo
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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spelling 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
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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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
repository.mail.fl_str_mv
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