Correlação entre as características físicas e locacionais de lotes e o consumo efetivo médio per capta de água potável: estudo de caso da cidade de Bebedouro (SP)

Detalhes bibliográficos
Ano de defesa: 2019
Autor(a) principal: Gaspar, Flávia Cristina
Orientador(a): Kellner, Erich lattes
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de São Carlos
Câmpus São Carlos
Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia Urbana - PPGEU
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: https://repositorio.ufscar.br/handle/20.500.14289/11796
Resumo: Information pertaining to water consumption per capita can be considered as a valuable tool for the design of parts of the water supply system of a municipality. The difficulty to the urban infrastructure designer is the estimation of the average per capita water consumption to be adopted in a water supply system project. The general objective of this work was to evaluate the physical and locational characteristics of urban lots and to correlate them with the effective per capita consumption of water for the city of Bebedouro (SP). We analyzed 37 neighborhoods, all with 100% hydrometric and occupancy rate equal to or greater than 85%. From the analyzed data, it was verified that the average effective consumption per capita maintained a positive correlation with the average individual income, not being, however, observed a relation of the consumption with the gross population density related to the occupied area. It was observed that the water loss in distribution was 57.25% in the year 2015. Hypothesis test indicated that the independent variables Average Lot Area (AML), Standard Unit Value and Maximum Standard Unit Value (VUP / VUPmax) and of the number of inhabitants per link of water / lot (NHL) presented a linear correlation with the average daily effective consumption (qe), for interval and 95% confidence. The equation was determined from regression of multiple variables with determination coefficient R2 = 0.8099.