Robust imputation method with context-aware voting ensemble model for management of water-quality data

•Identified factors affecting imputation accuracy and examined effects on various methods.•Developed a robust imputation model using dynamic weighting based on missingness scenarios.•Experiments on real-world water-quality data show superior accuracy of proposed method.•Proposed method's robustness highlighted by outperforming baselines in various scenarios.