Laboratory for Climate and Ocean-Atmosphere Sciences, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University , Beijing 100871, China.
Department of Mechanical Engineering, University of Colorado , Boulder, Colorado 80309, United States.
Environ Sci Technol. 2016 Aug 16;50(16):8731-40. doi: 10.1021/acs.est.6b03010. Epub 2016 Aug 2.
The stringent emission controls during the APEC 2014 (the Asia-Pacific Economic Cooperation Summit; November 5-11, 2014) offer a unique opportunity to quantify factors affecting fine particulate matter (PM2.5) pollution over North China. Here we apply a four-dimensional variational data assimilation system using the adjoint model of GEOS-Chem to address this issue. Hourly surface measurements of PM2.5 and SO2 for October 15-November 14, 2014 are assimilated into the model to optimize daily aerosol primary and precursor emissions over North China. Measured PM2.5 concentrations in Beijing average 50.3 μg m(-3) during APEC, 43% lower than the mean concentration (88.2 μg m(-3)) for the whole period including APEC. Model results attribute about half of the reduction to meteorology due to active cold surge occurrences during APEC. Assimilation of surface measurements largely reduces the model biases and estimates 6%-30% lower aerosol emissions in the Beijing-Tianjin-Hebei region during APEC than in late October. We further demonstrate that high PM2.5 events in Beijing during this period can be occasionally contributed by natural mineral dust, but more events show large sensitivities to inorganic aerosol sources, particularly emissions of ammonia (NH3) and nitrogen oxides (NOx) reflecting strong formation of aerosol nitrate in the fall season.
2014 年 APEC(亚太经合组织峰会;2014 年 11 月 5 日至 11 日)期间实施了严格的排放控制,为量化影响华北地区细颗粒物(PM2.5)污染的因素提供了一个独特的机会。在这里,我们应用了一个四维变分数据同化系统,使用 GEOS-Chem 的伴随模型来解决这个问题。2014 年 10 月 15 日至 11 月 14 日,每小时的 PM2.5 和 SO2 地面测量值被同化到模型中,以优化华北地区的每日气溶胶一次和前体排放。APEC 期间北京的 PM2.5 平均浓度为 50.3 μg m(-3),比整个 APEC 期间的平均浓度(88.2 μg m(-3))低 43%。模型结果归因于 APEC 期间活跃的冷涌事件导致的气象因素约占一半。地面测量值的同化大大减少了模型偏差,并估计 APEC 期间京津冀地区的气溶胶排放量比 10 月下旬低 6%-30%。我们进一步证明,这期间北京的高 PM2.5 事件偶尔可能是由天然矿物尘引起的,但更多的事件显示出对无机气溶胶源的高敏感性,特别是氨(NH3)和氮氧化物(NOx)的排放,反映出秋季气溶胶硝酸盐的强烈形成。