In this study,observational data of O3 and its precursors,meteorological observations,and ERA5reanalysis data for 2022 were selected to analyze the characteristics of O3 pollution in Guangzhou.Utilizing both Observation-Based Modeling(OBM)and backward trajectory models,we identified O3 generation sensitivity control zones and key sensitive species,and conducted an analysis of O3 pollution causes from three aspects:O3 precursor emissions,meteorological conditions,and regional transport.The results indicate that:O3 generation in Guangzhou is primarily controlled by volatile organic compounds(VOCs)and NOx-VOCs synergy,with the current VOCs to NOx emission reduction ratio not being less than 1∶1.O3 generation is most sensitive to oxygen-containing VOCs,followed by biogenic VOCs(BVOCs),alkenes,aromatics,and alkanes.Despite a 14.7％decrease in NOx and a 30.4％decrease in VOC concentrations in 2022,the effectiveness of local emission reduction in Guangzhou was offset by adverse meteorological conditions such as the strong subtropical high,frequent influences of peripheral circulation from typhoons,and unfavorable meteorological conditions such as enhanced radiation,high temperature,and low humidity,along with regional transport,leading to an increase in O3 concentrations.During typical O3 pollution events(September 16～22,2022),airflow trajectories shifted from northwest and southwest directions to east and southeast directions,making it susceptible to regional transport from surrounding urban areas.Recommendations for future actions include continued efforts to reduce NOx emissions,promoting a shift in O3 sensitivity from NOx-sensitive to NOx-insensitive,and actively building regional joint prevention and control mechanisms to reduce regional transport contributions.
关键词
广州市/臭氧污染/基于观测的模型(OBM)/前体物/气象条件/区域传输
Key words
Guangzhou/ozone pollution/Observation Based Model(OBM)/precursor/meteorological conditions/regional transmission
维普
万方数据