Ozone (O3) and fine particulate matter (PM2.5) are critical atmospheric pollutants whose complex chemical coupling presents significant challenges for multi-pollutant control strategies. This study investigated the spatiotemporal variations and driving mechanisms of O3 and PM2.5 in Jiaxing, China, during different COVID-19 lockdown periods from November 2019 to January 2024. Using high-resolution monitoring data, random forest modeling, and HYSPLIT backward trajectory analysis, we quantified the relative contributions of anthropogenic emissions, meteorological conditions, and regional transport to the formation and variation of O3 and PM2.5 concentrations. The results revealed a distinct inverse relationship between O3 and PM2.5, with meteorologically normalized PM2.5 decreasing significantly (−5.0 μg/m3 compared to the pre-lockdown baseline of 0.6 μg/m3), while O3 increased substantially (15.2 μg/m3 compared to the baseline of 5.3 μg/m3). Partial dependency analysis revealed that PM2.5-O3 relationships evolved from linear to non-linear patterns across lockdown periods, while NO2-O3 interactions indicated shifts from VOC-limited to NOx-limited regimes. Regional transport patterns exhibited significant temporal variations, with source regions shifting from predominantly northern areas pre-lockdown to more diverse directional contributions afterward. Notably, the partial lockdown period demonstrated the most balanced pollution control outcomes, maintaining reduced PM2.5 levels while avoiding O3 increases. These findings provide critical insights for developing targeted multi-pollutant control strategies in the Yangtze River Delta region and similar urban environments.
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