Application of data assimilation technology in source apportionment of PM2.5 during winter haze episodes in the Beijing-Tianjin-Hebei region in China
Sun, Tingting2,3; Zhang, Tianshu1,2; Xiang, Yan1; Fan, Guangqiang2; Fu, Yibin2; Lv, Lihui1; Zheng, Haitao2
刊名ATMOSPHERIC POLLUTION RESEARCH
2022-10-01
卷号13
关键词Lidar network CMAQ-ISAM Data assimilation The beijing-tianjin-hebei region PM2 5
ISSN号1309-1042
DOI10.1016/j.apr.2022.101546
通讯作者Zhang, Tianshu(tszhang@aiofm.ac.cn) ; Xiang, Yan(yxiang@ahu.edu.cn)
英文摘要Atmospheric fine particles (PM2.5) in the Beijing-Tianjin-Hebei region have a considerable impact on air quality. Quantitative analysis of PM2.5 transport within the boundary layer is still lacking. In this study, vertical observations from the lidar network were assimilated into the Community Multiscale Air Quality model. The integrated source apportionment method was used to investigate the contributions of PM2.5 in Beijing from January 10 to 18, 2018. After assimilation, the correlation coefficient values of the average diurnal vertical variation between the simulations and observations improved by 20.61%. The investigation of the regional transport at the different vertical layers indicated that: During the two pollution episodes, Beijing's local contribution was significant from the surface to 0.1 km, the maximum hourly mean contributions were 31.15 mu g/m3 and 27.56 mu g/ m3, respectively. From 0.1 to 0.8 km, the local contribution was decreased to below 10 mu g/m3, the contributions from the top 10 surrounding areas ranged from 9.51 mu g/m3 (49.9%) to 20.42 mu g/m3 (80.8%), which were 1.0-9.3 times greater than the local contribution. From 0.8 to 2.0 km, the local contribution decreased gradually, and the regional transport was mainly from Shanxi under prevailing wind fields. Based on lidar vertical observation data, our study revealed that the local contribution of Beijing played an important role in controlling the PM2.5 concentrations from the surface to 0.1 km, while the regional transport was considerable from 0.1 to 2.0 km, particularly from the severely polluted upwind region. It is critical to enhance regional joint emission control, especially during pollution episodes.
资助项目National Natural Science Foundation of China[42005106] ; National Natural Science Foundation of China[41941011] ; Key Research and Develop- ment Program of Anhui Province[202004i07020002] ; Natural Science Foundation of Anhui Province, China[1908085QD160] ; Natural Science Foundation of Anhui Province, China[1908085QD170] ; Hefei Municipal Natural Science Foundation[2021046]
WOS关键词JING-JIN-JI ; NORTH CHINA ; MASS CONCENTRATION ; AIR-POLLUTION ; AEROSOL SCATTERING ; UNITED-STATES ; TRANSPORT ; LIDAR ; IMPLEMENTATION ; COEFFICIENT
WOS研究方向Environmental Sciences & Ecology
语种英语
出版者TURKISH NATL COMMITTEE AIR POLLUTION RES & CONTROL-TUNCAP
WOS记录号WOS:000857192600001
资助机构National Natural Science Foundation of China ; Key Research and Develop- ment Program of Anhui Province ; Natural Science Foundation of Anhui Province, China ; Hefei Municipal Natural Science Foundation
内容类型期刊论文
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/129943]  
专题中国科学院合肥物质科学研究院
通讯作者Zhang, Tianshu; Xiang, Yan
作者单位1.Anhui Univ, Inst Phys Sci & Informat Technol, Hefei 230601, Anhui, Peoples R China
2.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Environm Opt & Technol, Hefei 230031, Anhui, Peoples R China
3.Univ Sci & Technol China, Hefei 230026, Anhui, Peoples R China
推荐引用方式
GB/T 7714
Sun, Tingting,Zhang, Tianshu,Xiang, Yan,et al. Application of data assimilation technology in source apportionment of PM2.5 during winter haze episodes in the Beijing-Tianjin-Hebei region in China[J]. ATMOSPHERIC POLLUTION RESEARCH,2022,13.
APA Sun, Tingting.,Zhang, Tianshu.,Xiang, Yan.,Fan, Guangqiang.,Fu, Yibin.,...&Zheng, Haitao.(2022).Application of data assimilation technology in source apportionment of PM2.5 during winter haze episodes in the Beijing-Tianjin-Hebei region in China.ATMOSPHERIC POLLUTION RESEARCH,13.
MLA Sun, Tingting,et al."Application of data assimilation technology in source apportionment of PM2.5 during winter haze episodes in the Beijing-Tianjin-Hebei region in China".ATMOSPHERIC POLLUTION RESEARCH 13(2022).
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