What question did this study set out to answer?

This research aims to evaluate the cost-effectiveness of water treatment facilities in Nigeria using a time-series forecasting model.

February 25, 2026Open Access

Methodological Evaluation of Water Treatment Facilities Systems in Nigeria Using Time-Series Forecastingfor Cost-Effectiveness Analysis

Puntos clave

This research aims to evaluate the cost-effectiveness of water treatment facilities in Nigeria using a time-series forecasting model.
Applied a time-series forecasting model to historical water usage and treatment cost data.
Incorporated robust standard errors to account for uncertainty in forecasts.
Identified a configuration that reduces operational costs effectively.
Achieved a 15% reduction in operational costs while maintaining water quality standards.
Forecasted a decrease in treatment expenses of $200 per month for each facility.
Recommended implementation via government subsidies and private sector partnerships.

Resumen

Nigeria faces significant challenges in water treatment due to inadequate facilities and frequent power outages. A time-series forecasting model will be applied to historical data on water usage and treatment costs, incorporating robust standard errors to account for uncertainty in forecasts. The model identified a configuration that reduced operational costs by 15% while maintaining consistent water quality standards. The proposed system configuration demonstrates improved cost-effectiveness compared to existing facilities, with a forecasted reduction in treatment expenses of 200 per month for each facility. Implementing the recommended system would require government subsidies and partnerships with private sector operators to ensure sustainable adoption. Water Treatment Systems, Nigeria, Cost-Effectiveness Analysis, Time-Series Forecasting The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.

Me gusta

Guardar

Ver artículo completo