The demand for water has led to an increase in scarcity events in several urban regions. In an urban context, water consumption in buildings plays an important role and rainwater harvesting is one of the ways that consumption can be reduced. One of the input variables for the dimensioning of rainwater tanks is the pluviometric regime's characteristics in the region where the rainwater harvesting system (RWHS) is to be installed. In this study, a bibliometric and systematic literature review was carried out on the types of rainfall data used in the dimensioning of the elements of RWHS. Worldwide, the most-used data comes from meteorological stations, with a historical series size of 30 years, however, other types of data and different sizes of historical series are also used. From this study, it was possible to synthesise the regions where differentiation data can be collected, as well as their characteristics, enabling the researchers to quickly access the definition of separation data collection parameters.
As metodologias de dimensionamento dos sistemas prediais de distribuição de água indicadas pelas normas técnicas vigentes nos mais diversos países são fundamentalmente empíricas e tendem a superdimensionar os elementos dos sistemas. O objeto deste artigo é a revisão de literatura dos trabalhos publicados no principal evento internacional da área de sistemas prediais (CIB W62) referentes as metodologias de dimensionamento dos sistemas prediais de distribuição de água, a fim de catalogar as contribuições científicas relacionadas ao tema, a partir de palavras-chave pré-determinadas. A utilização da metodologia de mapeamento bibliográfico proporcionou a análise das tendências de estudo e as lacunas existentes na literatura. Através dos resultados obtidos, observou-se que a matéria foi objeto de estudo ao longo do período avaliado, abrangendo os anos de 2000 a 2022. Os artigos analisados se dividem em dois principais eixos: análise do perfil de consumo de água e propostas de novos métodos de dimensionamento. A técnica de simulação Monte Carlo foi a mais utilizada, mas nos últimos anos a modelagem estocástica vem ganhando espaço por autores europeus. Autores apontam possibilidade para aprimoramento dos métodos, principalmente em relação a assertividade da vazão simulada.
Water scarcity is becoming increasingly noticeable in large urban centers. Therefore, the aim of this research is to analyze the factors that influence residential water consumption in a residential building located in the city of Goiânia, Brazil, during a pre-pandemic period of 6 months. To this end, graphical analysis, trend curves, and multiple regressions were used using the R language. The sample consisted of 43 housing units with a population of one to five people in each. Once the construction aspects of the building were fixed and the water price and the type of consumption measured, it was found that the number of residents, the monthly precipitation, and the maximum daily temperature directly influence residential water consumption.
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