Scaling Water Consumption Statistics

Detalhes bibliográficos
Autor(a) principal: Vertommen, Ina
Data de Publicação: 2015
Outros Autores: Magini, Roberto, Cunha, Maria da Conceição
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/46688
https://doi.org/10.1061/(ASCE)WR.1943-5452.0000467
Resumo: The authors acknowledge the publisher in granting permission for making post-print version available in open access institutional repository.
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spelling Scaling Water Consumption StatisticsWater distribution systemswater usestatisticscorrelationscale effectstime series analysisThe authors acknowledge the publisher in granting permission for making post-print version available in open access institutional repository.Water consumption is perhaps the main process governing water distribution systems. Because of its uncertain nature, water consumption should be modeled as a stochastic process or characterized using statistical tools. This paper presents a description of water consumption using statistics as the mean, variance, and correlation. The analytical equations expressing the dependency of these statistics on the number of served users, observation time, and sampling rate, namely, the scaling laws, are theoretically derived and discussed. Real residential water consumption data are used to assess the validity of these theoretical scaling laws. The results show a good agreement between the scaling laws and scaling behavior of real data statistics. The scaling laws represent an innovative and powerful tool allowing inference of the statistical features of overall water consumption at each node of a network from the process that describes the demand of a user unit without loss of information about its variability and correlation structure. This will further allow the accurate simulation of overall nodal consumptions, reducing the computational time when modeling networksAmerican Society of Civil Engineers (ASCE)2015-05info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/46688http://hdl.handle.net/10316/46688https://doi.org/10.1061/(ASCE)WR.1943-5452.0000467eng0733-9496https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29WR.1943-5452.0000467Vertommen, InaMagini, RobertoCunha, Maria da Conceiçãoinfo: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:RCAAP2021-07-20T08:29:05Zoai:estudogeral.uc.pt:10316/46688Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:57:18.571870Repositório 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 Scaling Water Consumption Statistics
title Scaling Water Consumption Statistics
spellingShingle Scaling Water Consumption Statistics
Vertommen, Ina
Water distribution systems
water use
statistics
correlation
scale effects
time series analysis
title_short Scaling Water Consumption Statistics
title_full Scaling Water Consumption Statistics
title_fullStr Scaling Water Consumption Statistics
title_full_unstemmed Scaling Water Consumption Statistics
title_sort Scaling Water Consumption Statistics
author Vertommen, Ina
author_facet Vertommen, Ina
Magini, Roberto
Cunha, Maria da Conceição
author_role author
author2 Magini, Roberto
Cunha, Maria da Conceição
author2_role author
author
dc.contributor.author.fl_str_mv Vertommen, Ina
Magini, Roberto
Cunha, Maria da Conceição
dc.subject.por.fl_str_mv Water distribution systems
water use
statistics
correlation
scale effects
time series analysis
topic Water distribution systems
water use
statistics
correlation
scale effects
time series analysis
description The authors acknowledge the publisher in granting permission for making post-print version available in open access institutional repository.
publishDate 2015
dc.date.none.fl_str_mv 2015-05
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/46688
http://hdl.handle.net/10316/46688
https://doi.org/10.1061/(ASCE)WR.1943-5452.0000467
url http://hdl.handle.net/10316/46688
https://doi.org/10.1061/(ASCE)WR.1943-5452.0000467
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0733-9496
https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29WR.1943-5452.0000467
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv American Society of Civil Engineers (ASCE)
publisher.none.fl_str_mv American Society of Civil Engineers (ASCE)
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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