Municipal water systems in Tanzania have faced challenges related to reliability and efficiency over time. The study employed a Box-Jenkins ARIMA (AutoRegressive Integrated Moving Average) time-series forecasting model to predict future water demand based on historical data from to. The forecasted demand showed an upward trend, indicating potential future shortages if no interventions are made, with a 95% confidence interval around the mean estimate of ±10%. The ARIMA model provided insights into system performance and highlighted areas for improvement in water management strategies. Investment in infrastructure upgrades and demand-side management policies should be prioritised to ensure sustainable municipal water supply. Municipal Water Systems, Time-Series Forecasting, Efficiency Gains, Box-Jenkins ARIMA Model The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.
Salum Kassim (Sun,) studied this question.
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