Generalized Additive Model (GAM) Applied to the Analysis of Ozone Pollution in a City in Eastern China

Ground-level ozone (O 3 ) pollution remains persistently high in China, despite the implementation of stringent emission controls targeting primary pollutants. However, understanding of the drivers and formation mechanisms of this secondary pollutant remains limited. Herein, comprehensive field observations of O 3 and its precursors were conducted in a medium-sized city in eastern China. The average O 3 concentration was 93.60 ± 61.98 μg·m −3 , with severe pollution accounting for 47.05% (high-temperature, low-humidity conditions). The peak O 3 concentration during pollution episodes (207.13 ± 34.93 μg·m −3 ) exceeded that of non-pollution periods (108.77 ± 43.99 μg·m −3 ) by more than twofold. A generalized additive model (GAM) was employed to identify the key drivers of O 3 pollution, revealing relative humidity (RH) (F = 36.95) and volatile organic compounds (VOCs) (F = 8.03) as dominant drivers. Further interaction analysis using the GAM showed synergistic effects between RH and nitric oxide (NOx) as well as the temperature (T) and NOx on O 3 evolution. O 3 formation sensitivity analysis demonstrated that O 3 production was primarily within a VOC-limited regime (VOCs/NOx < 5.5). Alkenes were found to be the most prominent component, contributing 41.20–45.38% to the in situ O 3 formation potential (OFP), especially for ethylene and acetaldehyde (>10 μg·m −3 ). The toluene/benzene ratio indicated that Taizhou’s ambient VOCs were dominated by vehicle exhaust emissions, with minor contributions from solvents, oils, and gases, and LPG volatilization, making vehicle exhaust control the core of VOC reduction. The air mass transport from the Yellow Sea also significantly affected the local O 3 . This study quantifies the effects of multiple factors of summertime O 3 pollution and provides scientific support for targeted O 3 control strategies in a medium-sized city in eastern China.