Two trans-boundary aerosol transport episodes in the western Yangtze River Delta, China: A perspective from ground-based lidar observation | |
Yang, Hao2,3,4; Fang, Zhiyuan2,3,4; Xie, Chenbo2,4; Cohen, Jasonblake5; Yang, Yuanjian1; Wang, Bangxin2,4; Xing, Kunming2,4; Cao, Ye2,3,4 | |
刊名 | ATMOSPHERIC POLLUTION RESEARCH |
2021-03-01 | |
卷号 | 12 |
关键词 | Raman-mie lidar Transboundary transport Persistent aerosol pollution PBL PM2.5 |
ISSN号 | 1309-1042 |
DOI | 10.1016/j.apr.2021.01.004 |
通讯作者 | Xie, Chenbo(cbxie@aiofm.ac.cn) |
英文摘要 | Aerosol pollution is a significant threat to public health, and ground-based lidar can effectively monitor air pollution and regional air quality, including providing accurate observations of the vertical distribution of aerosols. Two long-distance trans-boundary aerosol episodes (named P2 and P5; P2 was the heavy pollution period (from 19:00 on January 19 to 15:00 on January 20) and P5 was the moderate pollution period (from 03:00 on January 25 to 21:00 on January 25)) occurred in the western Yangtze River Delta region, China during 17-26 January 2019, causing significant PM2.5 pollution. The ground-based lidar average value of the aerosol extinction coefficient below 0.5 km was highly correlated with surface PM2.5 concentration, and the correlation coefficient was 0.89. The regression relationship between the planetary boundary layer (PBL) height and PM2.5 concentration value was significantly exponential with a correlation coefficient of -0.59. The PBL height during P2 and P5 was below 0.5 km, relative to other periods with PBL height ranging from 0.5 to 2.0 km. Based on the backward trajectory and weather pattern analysis and surface PM(2.5 )observations, aerosols during P2 and P5 were mainly contributed by transported PM2.5 blown from northern China during the winter monsoon. The depolarization ratios derived from the lidar data show that the persistent pollution episode was mainly caused by strong mixing of transported and local aerosols. Relative to the P2 period, the wind speed in the P5 period was relatively strong, so transmission and diffusion took place relatively quickly and the duration of the pollution process was shorter. Our findings provide scientific evidence that transboundary air pollution were closely associated with different weather conditions and mixed aerosol sources, particularly for various PBL heights. |
资助项目 | Strategic Priority Research Program of Chinese Academy of Sciences[XDA17040524] ; Key Program of 13th five-year plan, CASHIPS[KP-201905] |
WOS关键词 | PARTICULATE MATTER ; DOPPLER LIDAR ; HAZE EPISODE ; LAYER ; POLLUTION ; POLLUTANTS ; CALIPSO ; PM2.5 |
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:000626092500001 |
资助机构 | Strategic Priority Research Program of Chinese Academy of Sciences ; Key Program of 13th five-year plan, CASHIPS |
内容类型 | 期刊论文 |
源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/120877] |
专题 | 中国科学院合肥物质科学研究院 |
通讯作者 | Xie, Chenbo |
作者单位 | 1.Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Nanjing, Peoples R China 2.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Atmospher Opt, Hefei 230031, Peoples R China 3.Univ Sci & Technol China, Sci Isl Branch, Grad Sch, Hefei 230026, Peoples R China 4.Adv Laser Technol Lab Anhui Prov, Hefei 230037, Peoples R China 5.Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou, Guangdong, Peoples R China |
推荐引用方式 GB/T 7714 | Yang, Hao,Fang, Zhiyuan,Xie, Chenbo,et al. Two trans-boundary aerosol transport episodes in the western Yangtze River Delta, China: A perspective from ground-based lidar observation[J]. ATMOSPHERIC POLLUTION RESEARCH,2021,12. |
APA | Yang, Hao.,Fang, Zhiyuan.,Xie, Chenbo.,Cohen, Jasonblake.,Yang, Yuanjian.,...&Cao, Ye.(2021).Two trans-boundary aerosol transport episodes in the western Yangtze River Delta, China: A perspective from ground-based lidar observation.ATMOSPHERIC POLLUTION RESEARCH,12. |
MLA | Yang, Hao,et al."Two trans-boundary aerosol transport episodes in the western Yangtze River Delta, China: A perspective from ground-based lidar observation".ATMOSPHERIC POLLUTION RESEARCH 12(2021). |
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