Modeling water consumption in public schools in Joinville-SC
DOI:
https://doi.org/10.46421/entac.v19i1.2151Keywords:
Water consumption, Schools, Multiple linear regression, Bayesian linear regressionAbstract
This work aims to identify the factors that influence water consumption in schools in the city of Joinville-SC, establishing models for forecasting building water consumption. As the school environment is largely responsible for the transmission of knowledge, including information on water conservation, twenty-six (26) public schools were selected for this research. A survey was carried out on the use of water, through visits and a questionnaire to the management team of each school. The data collected allowed the characterization of schools and a preliminary diagnosis of water use. Water consumption data was obtained from Companhia Águas de Joinville. A descriptive analysis of per capita water consumption was performed, with values ranging from 5.15 to 18.59 liters/student/day. Correlation analysis, multiple linear regression and Bayesian linear regression were used. The results of the correlation analysis reveal that the higher the average income in the neighborhood where the school is located and the area per student ratio, the higher the per capita water consumption. On the other hand, the number of students has a negative correlation with per capita consumption. In the statistical modeling, the independent variable area per student ratio was significant.
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