Comparación entre consumos de agua potable durante la cuarentena del 2020 y los registros históricos en ciudades de Morona Santiago

Considering that the consumption of drinking water for the residential sector is influenced by sociodemographic, socioeconomic, climatological factors and the quality of water, which leads to constant variations in its records. For this reason, a comparison was made of the historical monthly consumption of drinking water registered for each year, with respect to consumption during quarantine due to the health emergency caused by COVID-19 in three towns in the province of Morona Santiago. Data on the monthly data consumption per user of each canton was collected to perform a statistical analysis in the Minitab 19 software. Through the Anova statistical analysis and Tukey's multiple comparison test, the value of the maximum consumption and the historical average of each study canton were obtained to calculate the coefficient of variation of consumption (Kd), which will allow us to obtain real values for a correct design of a drinking water system avoiding under dimensioning. Concluding that Santiago of Méndez was the only city that had a maximum consumption during the quarantine period in March 2020 due to migratory mobility. ; Considerando que el consumo de agua potable para el sector residencial es influenciado por factores sociodemográficos, socioeconómicos, climatológicos y la calidad de agua lo que conlleva a constantes variaciones en sus registros. Por este motivo se realizó una comparación de los consumos históricos mensuales de agua potable de cada año registrados, con respecto a los consumos durante la cuarentena debido a la emergencia sanitaria por el COVID-19 en tres poblaciones de la provincia de Morona Santiago. Se recolectó datos del consumo mensual por usuario de cada cantón para realizar un análisis estadístico en el software Minitab 19. Mediante el análisis estadístico Anova y la prueba de comparación múltiple de Tukey, se obtuvo el valor del consumo máximo y la media histórica de cada cantón de estudio para calcular el coeficiente de variación de consumo (Kd), el cual nos permitirá obtener ...