Meteorological and Transport Characteristics of a Persistent Ozone Pollution Process in Chuzhou City
From June 8 to 17,2019,a persistent ozone pollution occurred in Chuzhou City,Anhui Province,with concentration values exceeding the national secondary limits by 3%-45%.HYSPLIT backward trajectory model,potential source contribution factor(PSCF),and concentration weight trajectory(CWT)methods were applied to study the meteorological and regional transport characteristics during the pollution period,based on air quality data from monitoring stations at Chuzhou Senior University,meteorological data from meteorological stations in Chuzhou City and the Global Data Assimilation System(GDAS).The results showed that:① during this ozone pollution,the daily maximum temperature ranged from 25.5℃to 34.7℃,the wind speed was less than 4 m/s,the wind direction was dominated by easterly winds,and the relative humidity in the afternoon was around 40%.The atmospheric layer in Chuzhou was stable since the city was mainly under the control of the atmospheric mean pressure field and the sinking airflow at the periphery of the cyclone during this pollution period.②Chuzhou City was mainly influenced by southeast-oriented airflow during the study period,but the impact of airflow from Shandong Province,northern Anhui Province and northern Jiangsu Province should not be ignored.The anomalously low pressure in the afternoon of June 9 and the anomalously high boundary layer height at night,which caused the transfer of high ozone concentrations upwind,were strongly associated with the anomalously high ozone values from the night of June 9 to the morning of June 10.③Southeastern Anhui Province,central and western Jiangsu Province,and northern Zhejiang Province were the key locations of the possible contributing source regions for this pollution.Weighted potential source contribution factor(WPSCF)values in the aforementioned locations were higher than 0.4,and weighted concentration weight trajectory(WCWT)values were higher than 100 g/m3.Chuzhou City should focus on strengthening collaborative ozone pollution prevention and control with these locations.
NETL
NSTL
万方数据
维普
