Fang Tian-Ge, Yao Xiao-Hong, Meng He, Chen Chun-Qiang
Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao 266100, China.
Laboratory for Marine Ecology and Environmental Sciences, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China.
Huan Jing Ke Xue. 2020 Oct 8;41(10):4345-4354. doi: 10.13227/j.hjkx.202002150.
Atmospheric pollution frequently occurs in northern China during winter heating period, wherein nitrate became the dominant driver for PM accumulations. However, sulfate accumulation was found to be significantly higher than that of nitrate during firework burning events and exhibited different pollution characteristics. Online data available from February 2, 2019 to February 10, 2019, including observation data measured from AIM-IC in suburban Qingdao and meteorological data from national automatic monitoring station, were analyzed. The results showed that particulate accumulation, dust and firework burning events were observed. The primary contribution rates of the most intensive firework burning to PM and PM were 69.8% and 63.8%, respectively. In contrast to a severe accumulation of nitrate during the particulate accumulation event, the sulfate formed prior and exhibited more severe accumulation than nitrate during the firework burning events. The primary contribution factors (SO)/(K) and (NO)/(K) of firework burnings was 1.2 and 1.3 (molar ratios), respectively. The secondary contribution factors were 2.1 and 1.6 times, under relatively stable meteorological conditions. However, during the transit of dry and cold air, the value of secondary contribution factors decreased substantially and exhibited nearly the same values as the primary ones.
中国北方冬季供暖期经常出现大气污染，在此期间硝酸盐成为颗粒物积累的主要驱动因素。然而，在烟花燃放期间发现硫酸盐积累显著高于硝酸盐积累，且呈现出不同的污染特征。对2019年2月2日至2019年2月10日的在线数据进行了分析，包括青岛郊区AIM-IC测量的观测数据和国家自动监测站的气象数据。结果表明，观测到了颗粒物积累、沙尘和烟花燃放事件。最强烈的烟花燃放对PM和PM的主要贡献率分别为69.8%和63.8%。与颗粒物积累事件期间硝酸盐的严重积累形成对比的是，硫酸盐在烟花燃放事件中先形成且积累比硝酸盐更严重。烟花燃放的主要贡献因子(SO)/(K)和(NO)/(K)分别为1.2和1.3（摩尔比）。在相对稳定的气象条件下，次要贡献因子分别是主要贡献因子的2.1倍和1.6倍。然而，在干冷空气过境期间，次要贡献因子的值大幅下降，且与主要贡献因子的值几乎相同。
