"background": "Inadequate access to clean water remains a critical challenge in many regions, with existing treatment infrastructure often underperforming. Systematic, evidence-based methodologies for evaluating and optimising the operational yield of such facilities are lacking, particularly in field settings. ", "purpose and objectives": "This case study aimed to methodologically evaluate the performance of communal water treatment systems and implement a randomised field trial to determine the efficacy of a targeted optimisation protocol for improving potable water yield. ", "methodology": "A randomised controlled trial was conducted across 42 facilities. The intervention arm received a systematic optimisation protocol involving hydraulic balancing and coagulant dosing adjustments. Performance was measured via daily yield (m³/day) over an observation period. The treatment effect was estimated using a linear mixed-effects model: Y{ij = \0 + \1 Ti + uj +, where Ti indicates treatment assignment, and uj is a facility-level random effect. ", "findings": "Facilities receiving the optimisation protocol demonstrated a mean yield increase of 32. 7% (95% CI: 24. 1 to 41. 3) compared to control facilities. The intervention effect was statistically significant (p < 0. 001), with the model accounting for inter-facility variability. ", "conclusion": "The applied methodological framework and optimisation protocol substantially improved the operational yield of the water treatment systems studied, confirming the value of structured, data-driven evaluation and intervention in this context. ", "recommendations": "Routine implementation of the described evaluation methodology is recommended for asset management. The optimisation protocol should be integrated into regular maintenance schedules, with further research to adapt the approach to other system configurations. ", "key words": "water treatment, yield optimisation, randomised trial, field study, infrastructure performance, process evaluation", "contribution statement": "This study provides a novel, replicable methodological framework for the empirical field evaluation and optimisation of water treatment system yield, demonstrating a significant quantitative
Wanjiku Mwangi (Tue,) studied this question.