Quasi-experimental design evaluates system reliability in South African water treatment systems, indicating the need for adaptive strategies.
Water treatment systems in South Africa face challenges related to reliability due to varying environmental conditions and infrastructure quality. The study employed a quasi-experimental design, including data collection from 20 randomly selected water treatment plants across South Africa. A statistical model was used to analyse the impact of climate variability and maintenance practices on system reliability. A significant proportion (35%) of systems showed reduced efficiency due to unpredictable climatic conditions, particularly during drought periods. The quasi-experimental design provided insights into how environmental factors influence water treatment facility performance, highlighting the need for adaptive management strategies. Investment in climate-resilient infrastructure and regular maintenance programmes is recommended to enhance system reliability in South African water treatment systems. Quasi-Experimental Design, Water Treatment Systems, System Reliability, Climate Variability, Maintenance Practices The maintenance outcome was modelled as Yᵢₜ=β₀+β₁Xᵢₜ+uᵢ+εᵢₜ, with robustness checked using heteroskedasticity-consistent errors.
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Nombuyisilwe Sithole (2006) studied this question.