Abstract Continuous and uninterrupted air quality monitoring is essential for environmental management and public policy formulation, which requires the absence of missing data and good quality measurements. However, due to a variety of factors (local power outages, data transmission, instrument calibration, preventive maintenance, weather conditions, etc.), measurement gaps with different time windows frequently occur in historical air quality data. This work addresses the problem of missing da