Socioeconomic analysis of domestic water end-use consumption in the Federal District, Brazil

Sant'Ana, Daniel Richard; Mazzega, Pierre

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dc.contributor.author	Sant'Ana, Daniel Richard	-
dc.contributor.author	Mazzega, Pierre	-
dc.date.accessioned	2021-04-29T16:24:42Z	-
dc.date.available	2021-04-29T16:24:42Z	-
dc.date.issued	2017-09-05	-
dc.identifier.citation	SANT'ANA, Daniel; MAZZEGA, Pierre. Socioeconomic analysis of domestic water end-use consumption in the Federal District, Brazil. Sustainable Water Resources Management, v. 4, p. 921-936, 2018. DOI: https://doi.org/10.1007/s40899-017-0186-4.	pt_BR
dc.identifier.uri	https://repositorio.unb.br/handle/10482/40712	-
dc.language.iso	Inglês	pt_BR
dc.publisher	Springer	pt_BR
dc.rights	Acesso Restrito	pt_BR
dc.title	Socioeconomic analysis of domestic water end-use consumption in the Federal District, Brazil	pt_BR
dc.type	Artigo	pt_BR
dc.subject.keyword	Água - uso	pt_BR
dc.subject.keyword	Habitação	pt_BR
dc.subject.keyword	Orçamento familiar	pt_BR
dc.identifier.doi	https://doi.org/10.1007/s40899-017-0186-4	pt_BR
dc.relation.publisherversion	https://link.springer.com/article/10.1007/s40899-017-0186-4	pt_BR
dc.description.abstract1	This paper explores the relationship between domestic water consumption and dwelling typology, household income and number of occupants. It describes the data and methods used to estimate domestic water consumption and related end-uses for the different household income and residential building typologies of the Federal District, Brazil. To verify the consistency of estimated water end-use data acquired at a fixture-appliance level with metered consumption at the dwelling level, covariance error models were built. The error models were also used in the regularization of the regression of water consumption over socioeconomic variables, using a generalized least-squares approach. Based on linear regression using log-transformed data, this study validates and presents an indoor and outdoor domestic water consumption model. Findings suggest that dwelling characteristics, number of residents, and household income affect both indoor and outdoor water consumption patterns and, therefore, should be considered for adequate water demand predictions, rainwater harvesting, and water reuse system design dimensioning and quantifying potential water savings for different water conservation measures.	pt_BR
dc.description.unidade	Faculdade de Arquitetura e Urbanismo (FAU)	-
dc.description.unidade	Departamento de Tecnologia em Arquitetura e Urbanismo (FAU TEC)	-
Collection(s) :	Artigos publicados em periódicos e afins