Atmospheric age reflects how long particles have been suspended in the atmosphere, which is closely associated with the evolution of air pollutants. Severe regional haze events occur frequently in China, influencing air quality, human health, and regional climate. Previous studies have explored the characteristics of mass concentrations and compositions of fine particulate matter (PMinline-formula2.5) during haze events, but the evolution of atmospheric age remains unclear. In this study, the age-resolved University of California, Davis/California Institute of Technology (UCD/CIT) model was developed and applied to simulate the concentration and age distribution of PMinline-formula2.5 during a severe regional haze episode in eastern China. The results indicated that PMinline-formula2.5 concentrations in the North China Plain (NCP) gradually accumulated due to stagnant weather conditions during the beginning stage of the haze event. Accordingly, the atmospheric age of elemental carbon (EC), primary organic aerosol (POA), sulfate (inline-formula
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), and secondary organic aerosol (SOA) gradually increased. The subsequent PMinline-formula2.5 concentration growth was driven by the local chemical formation of nitrate (inline-formula
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) under high relative humidity. The newly formed inline-formula
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particles led to a decrease in the mean atmospheric age of inline-formula
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particles. During the regional transport stage, aged particles from the NCP moved to the downwind Yangtze River Delta (YRD) region, leading to a sharp increase in PMinline-formula2.5 concentrations and the average age of EC, POA, inline-formula
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, and SOA in YRD. In contrast, the average age of inline-formula
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and ammonium remained unchanged or even slightly decreased due to continuous local formation in the YRD region. Different evolution of the atmospheric age among these components provides a unique perspective on the formation of PMinline-formula2.5 components during the regional haze event. The information can also be used for designing effective control strategies for different components of PMinline-formula2.5.