常州市臭氧污染传输路径和潜在源区

摘要

NCEP global reanalysis meteorological data and HYSPLIT4 model were used to compute the backward trajectory in the exceeding standard day of O3 in Changzhou during 2013-2015. The regional concentration data of PM2. 5 ,PM10 ,SO2 ,NO2 and O3 combined with trajectory clustering method were used to identify the effect of principal transport pathways on the different pollutants. The potential source contribution function method combined with weight factors ( WPSCF) was utilized to study the spatial probability distribution of O3 area sources. The results showed the airflow in the southeast and southwest would be a significant impact in the exceeding standard day of O3 in Changzhou. The southeast airflow that from the East China Sea and Yellow Sea through the northeast of Zhejiang, and then through Shanghai to southern Jiangsu accounted for 50％. The airflow from inland,passing through Mount Huangshan-Huzhou-Yixing to Changzhou had the highest corresponding O3 of all clusters, which was 116 μg/m3 . And the path from Shandong passing through Zaozhuang, and then through northern Jiangsu to southern Jiangsu had the lowest O3 concentration, which was 78 μg/m3 , but it was higher than other clusters in SO2 and NO2 . The potential pollution source of O3 were mainly in the area within 200 km of Changzhou. And there were concentrated in regions along the downstream of the Yangtze River from Nanjing to Shanghai, and surrounding the Hangzhou Bay. Taihu Lake region would be a significant impact on Changzhou. The potential pollution source of NO2 in Changzhou were mainly concentrated in the southern Jiangsu, the northeast of Zhejiang and Shanghai. High WPSCF values were concentrated in the Changzhou, Wuxi, Suzhou and Huzhou of surrounding cites of Taihu. The potential source of NO2 was larger range distribution than that of O3 , andthe distance was farther. The distribution of potential source of ozone in Changzhou was consistent with the high emission region of anthropogenic sources in the Yangtze River Delta. This shows that the ozone pollution has a very close relationship with the local anthropogenic air pollutant emission in the Yangtze River Delta region.%利用NCEP全球再分析资料和HYSPLIT4模式,计算了2013—2015年常州市臭氧(O3)超标日的气流后向轨迹.结合聚类分析方法和常州市PM2.5、PM10、SO2、NO2、O3数据,分析了O3超标日不同类型气团来源对各污染物浓度的影响,并利用引入权重因子后的潜在污染源贡献函数分析了影响常州市O3超标的潜在污染源区分布特征.结果表明:常州市O3超标期间易受到东南和西南方向气流影响,其中从东海和黄海途经浙江东北部、上海、江苏南部等地的东南气流占比达50％以上.自内陆途经黄山-湖州-宜兴到常州的气流对应的O3平均质量浓度最高,为116μg/m3.自山东经枣庄-宿迁-淮安-泰州-苏州-无锡到常州的气流对应的O3平均质量浓度最低,为78μg/m3,但该气流对应的SO2和NO2平均值为各聚类中的最高.影响常州市O3的潜在污染源区主要在常州周边200 km以内的区域,且集中在从南京至上海的长江下游沿线区域和杭州湾区域;其中太湖湖区为重点污染源源区之一.O3超标日影响常州NO2的潜在污染源区主要集中在江苏南部、浙江东北部和上海3个区域,太湖周边的常州、无锡、苏州和湖州等几个临近城市为潜在的重点污染源区.与影响常州O3的WPSCF高值区相比,影响NO2的高值区分布范围更大、距离更远.影响常州O3的潜在污染源区分布,与长江三角洲地区人为源大气污染物的高排放区域较为一致,说明长江三角洲地区的O3污染与本区域的人为源大气污染物排放有着极为密切的关联.