Li Deping, Liu Jianguo, Zhang Jiaoshi, Gui Huaqiao, Du Peng, Yu Tongzhu, Wang Jie, Lu Yihuai, Liu Wenqing, Cheng Yin
Key Laboratory of Environmental Optics and Technology, Anhui, Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China.
Key Laboratory of Environmental Optics and Technology, Anhui, Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China; University of Science and Technology of China, Hefei 230026, China; Center for Excellence in Urban Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.
J Environ Sci (China). 2017 Jun;56:214-229. doi: 10.1016/j.jes.2016.06.035. Epub 2016 Oct 29.
Trajectory clustering, potential source contribution function (PSCF) and concentration-weighted trajectory (CWT) methods were applied to investigate the transport pathways and identify potential sources of PM and PM in different seasons from June 2014 to May 2015 in Beijing. The cluster analyses showed that Beijing was affected by trajectories from the south and southeast in summer and autumn. In winter and spring, Beijing was not only affected by the trajectories from the south and southeast, but was also affected by trajectories from the north and northwest. In addition, the analyses of the pressure profile of backward trajectories showed that backward trajectories, which have important influence on Beijing, were mainly distributed above 970hPa in summer and autumn and below 950hPa in spring and winter. This indicates that PM and PM were strongly affected by the near surface air masses in summer and autumn and by high altitude air masses in winter and spring. Results of PSCF and CWT analyses showed that the largest potential source areas were identified in spring, followed by winter and autumn, then summer. In addition, potential source regions of PM were similar to those of PM. There were a clear seasonal and spatial variation of the potential source areas of Beijing and the airflow in the horizontal and vertical directions. Therefore, more effective regional emission reduction measures in Beijing's surrounding provinces should be implemented to reduce emissions of regional sources in different seasons.
应用轨迹聚类、潜在源贡献函数（PSCF）和浓度加权轨迹（CWT）方法，对2014年6月至2015年5月北京不同季节PM和PM的传输路径及潜在源进行了研究。聚类分析表明，北京在夏季和秋季受来自南方和东南方轨迹的影响。在冬季和春季，北京不仅受来自南方和东南方轨迹的影响，还受来自北方和西北方轨迹的影响。此外，对后向轨迹气压剖面的分析表明，对北京有重要影响的后向轨迹在夏季和秋季主要分布在970hPa以上，在春季和冬季分布在950hPa以下。这表明PM和PM在夏季和秋季受近地面气团强烈影响，在冬季和春季受高空气团强烈影响。PSCF和CWT分析结果表明，春季确定的潜在源区最大，其次是冬季和秋季，然后是夏季。此外，PM的潜在源区与PM的相似。北京潜在源区及水平和垂直方向气流存在明显的季节和空间变化。因此，应在北京周边省份实施更有效的区域减排措施，以减少不同季节区域源的排放。
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