title: [Modeling Study of A Typical Summer Ozone Pollution Event over Yangtze River Delta].
abstract: WRF/Chem model was used to analyze the temporal and spatial distribution characteristics and physical and chemical mechanism of a typical summer ozone pollution event over Yangtze River Delta (YRD). The result showed that the model was capable of reproducing the temporal and spatial distribution and evolution characteristics of the typical summer ozone pollution event over YRD. The YRD region was mainly affected by the subtropical high-pressure control, and the weather conditions of sunshine, high temperature and small wind were favorable for the formation of photochemical pollution on August 10-18, 2013. The results of simulation showed that the spatial and temporal distribution of O3 was obviously affected by the meteorological fields, geographic location, regional transport and chemical formation over YRD. The sensitivity experiment showed that the O3 concentration affected by maritime airstream was low in Shanghai, but the impact of Shanghai emissions on the spatial and temporal distribution of O3 concentration over YRD was significant; The main contribution of the high concentration of O3 in Nanjing surface was chemical generation ( alkene and aromatic) and the vertical transport from high-altitude O3, whereas the main contribution of the high concentration of O3 in Hangzhou and Suzhou was physics process. The influence of the 15:00 peak concentration of O3 over YRD was very obvious when O3 precursor was reduced at the maximum O3 formation rate (11-13 h).
authors.forename: Liang
authors.initials: L
authors.lastname: Zhang
authors.forename: Bin
authors.initials: B
authors.lastname: Zhu
authors.forename: Jin-hui
authors.initials: JH
authors.lastname: Gao
authors.forename: Han-qing
authors.initials: HQ
authors.lastname: Kang
authors.forename: Peng
authors.initials: P
authors.lastname: Yang
authors.forename: Hong-lei
authors.initials: HL
authors.lastname: Wang
authors.forename: Yue-e
authors.initials: YE
authors.lastname: Li
authors.forename: Ping
authors.initials: P
authors.lastname: Shao
mesh_terms: D000393:Air Pollutants; D000397:Air Pollution / Q000032:analysis*; D002681:China; D004784:Environmental Monitoring; D008962:Models, Theoretical; D010126:Ozone / Q000032:analysis*; D045483:Rivers; D012621:Seasons; D062211:Spatio-Temporal Analysis; D014887:Weather; D014919:Wind
chemical_list: D000393:Air Pollutants; D010126:Ozone