Wang Yan-Li, Xue Wen-Bo, Lei Yu, Wang Jin-Nan, Wu Wei-Ling
Chinese Academy for Environmental Planning, Beijing 100012, China.
Huan Jing Ke Xue. 2017 Dec 8;38(12):4897-4904. doi: 10.13227/j.hjkx.201703282.
By coupling particle source apportionment technology (PSAT) with a comprehensive air quality model with extensions (CAMx), the regional transport matrix of PM was built for 13 cities in the Jingjinji Region in 2015. Results showed that the major contributor to PM was local source emissions, contributing 21.49%-68.74%, The internal transport from in-region sources contributed 13.31%-54.62% and the external transport from out-region sources contributing 13.32%-45.02% were also significant. The spatio-temporal distribution of the PM transport matrix was characterized by geographical, meteorological, and source patterns. Local emissions exerted the most significant impact on the central part of Jingjinji in winter, while regional transport contributed more to the southern region in other seasons. By assessing the input/output and activity of PM transport, Langfang, Hengshui, Chengde, Qinhuangdao, and Xingtai were receptors; Tianjin, Cangzhou, Tangshan, Beijing, Shijiazhuang, and Handan were sources, and Zhangjiakou and Baoding had a balanced transportation mode. The seasonal matrix of PM showed significant transport between Beijing and Langfang, Baoding, Chengde, Tianjin, Cangzhou, while the city list for Tianjin and Shijiazhuang differed slightly.
通过将颗粒物源解析技术（PSAT）与扩展的综合空气质量模型（CAMx）相结合，构建了2015年京津冀地区13个城市的PM区域传输矩阵。结果表明，PM的主要贡献者是本地源排放，贡献率为21.49%-68.74%，区域内源的内部传输贡献率为13.31%-54.62%，区域外源的外部传输贡献率为13.32%-45.02%，也很显著。PM传输矩阵的时空分布具有地理、气象和源模式特征。本地排放对京津冀中部冬季的影响最为显著，而区域传输在其他季节对南部地区的贡献更大。通过评估PM传输的输入/输出和活动，廊坊、衡水、承德、秦皇岛和邢台是受体；天津、沧州、唐山、北京、石家庄和邯郸是源，张家口和保定的传输模式较为平衡。PM的季节矩阵显示北京与廊坊、保定、承德、天津、沧州之间存在显著传输，而天津和石家庄的城市列表略有不同。
