With the industrialization and urbanization in the Pearl River Delta (PRD) region, the inevitably resulting air pollution has attracted a lot of attention. Fine particulate matter (PM_2.5) and ozone (O₃) are the most harmful air pollutants. To further improve the air environment protection policy and control the formation, it is imperative to analyze the source of PM_2.5 and O₃. In this work, the Comprehensive Air Quality Model with extension (CAMx) modeling system with Particular Source Apportionment Technology (PSAT) and Ozone Source Apportionment Technology (OSAT) was applied to obtain initial source contribution results. In Chapter 2, we used a hybrid method that combined the observational data with CAMx to adjust initial source apportionment and evaluated the method's performance. We...[ Read more ]

With the industrialization and urbanization in the Pearl River Delta (PRD) region, the inevitably resulting air pollution has attracted a lot of attention. Fine particulate matter (PM_2.5) and ozone (O₃) are the most harmful air pollutants. To further improve the air environment protection policy and control the formation, it is imperative to analyze the source of PM_2.5 and O₃. In this work, the Comprehensive Air Quality Model with extension (CAMx) modeling system with Particular Source Apportionment Technology (PSAT) and Ozone Source Apportionment Technology (OSAT) was applied to obtain initial source contribution results. In Chapter 2, we used a hybrid method that combined the observational data with CAMx to adjust initial source apportionment and evaluated the method's performance. We found that this hybrid method has competitive advantages over the traditional source apportionment methods by reducing the error between the simulation results and the observational data. Moreover, this method has been extended to generate spatial source impact distributions and then conduct source estimates on the spatial scale of cities. In Chapter 3, we analyzed the influence of particular synoptic patterns, including high pressure outflow, equalizing pressure field and subtropical high pressure, on ozone concentration and source contribution covering the PRD region, which will provide a solid foundation for implementing specific and effective ozone control measures. We found that The level of ozone exposure indicates that people in the PRD are actually living in a higher concentration of O₃ pollution, and the synoptic patterns of subtropical high and equalizing pressure fields pose a more significant threat to health. Our work reveals that, collaborative emission control measures should be strengthened with the surrounding area. Combined with the meteorological situation, controlling the endogenous emission in the PRD plays a pivotal role in preventing PM_2.5 and O₃ pollution.