Study on a typical ozone pollution process and generation mechanism in Taizhou
In this study,the monitoring data of typical ozone(O3)pollution processes from August 6th to August 18th,2022 was used to analyze the VOCs concentration level and OFP from the perspectives of time and space.And the main sources of VOCs were resolved by PMF model.In addition,the O3 formation mechanism was identified by the OBM model.The results showed that:the occurrence of O3 pollution was caused by the unfavorable meteorological conditions,which caused the VOCs volume fraction and NO2 concentration in Taizhou to increase by 8.2％and 24.2％in the middle of pollution compared with the previous stage of pollution.Olefins/alkynes and aromatic hydrocarbons accounted for a large proportion of OFP.Isoprene,ethylbenzene,and metalpara xylene were the species with the highest contribution to OFP during and after pollution at stations in Xinghua City,Jiangyan District and Hailing District,respectively,while metalpara xylene owned the highest contribution before pollution.The results of source analysis showed that solvent use sources(26.5％),industrial sources(20.9％)and mobile sources(20.5％)were the main sources of VOCs pollution during the pollution period in Taizhou.There were significant spatiotemporal differences in the OFP in Taizhou during the ozone pollution process.In terms of time,as the proportion of NOx in the atmosphere of each station decreased,the sensitivity of O3 generation to NOx increased,and the overall trend showed a trend of changing from VOCs control to coordinated control and then to NOx control.In terms of space,the northern and urban areas of Taizhou were mainly controlled by VOCs,while the near urban areas were coordinated control zone.Based on the above results,it is suggested that VOCs emission reduction should be focused on the northern and urban areas with large NOx emissions.In the nearby urban areas with large VOCs emissions,NOx and VOCs should be reduced together to achieve precise prevention and control of O3 pollution.
ozone pollution processesVOCskey active componentsformation mechanismsource apportionment
万方数据
维普
