Detection by Space-Borne and Ground-Based Lidar Observations of Air Pollution on the Example of the Hefei Area
文献类型：期刊论文
| 作者 | Yang, H.1,2,3; Fang, Zh1,2,3; Deng, X.1,2,3 ; Cao, Y.1,2,3; Xie, Ch1,3
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| 刊名 | JOURNAL OF APPLIED SPECTROSCOPY
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| 出版日期 | 2022 |
| 卷号 | 88 |
| ISSN号 | 0021-9037 |
| 关键词 | CALIPSO Raman-Mie lidar air pollution aerosol boundary layer |
| DOI | 10.1007/s10812-022-01312-w |
| 通讯作者 | Xie, Ch(cbxie@aiofm.ac.cn) |
| 英文摘要 | Severe air pollution is a serious threat to public health in the Yangtze River Delta region, where high concentrations of particulate matter are often observed in winter. In the present study, a serious aerosol pollution incident in the western Yangtze River Delta, China, was investigated by using joint inversion of CALIPSO and ground-based lidar in Hefei during 17-22 January, 2019. The data of the past two years were used in this study, and four typical weather cases were selected for comparative verification-namely, fi ne weather (less cloud, good air); cloudy weather (good air, no haze); moderate pollution weather (moderate haze, no cloud); and severe pollution weather (heavy haze, cloud). The vertical profile of aerosol backscatter as the satellite passed through Hefei city was given by the data of the CALIPSO satellite-borne lidar, CALIOP, which was compared with the vertical distribution of the range-corrected signal of ground-based lidar. Combined with analysis of meteorological data, the results showed that satellite-ground lidar can be used to observe the effect of aerosol changes on weather effectively. Subsequent experiments observed and tracked severely polluted weather event, and the data on the aerosol boundary layer was obtained which was a severe trans-boundary air pollution. The serious pollution period occurred from 22:00 to 04:00 on January 19 to 20, 2019, when the aerosol boundary layer was at its lowest (less than 0.5 km) and the boundary layer height ranged from 0.5 km to 2.2 km in other periods. Then, based on analysis of near-surface data, the changes in the boundary layer during the pollution process and the possible causes of these changes were analyzed. It was concluded that, during the pollution process, the height of the aerosol boundary layer in the Hefei area showed an obvious negative correlation with the concentration of PM2.5. Finally, HYSPLIT results showed that the source of pollution weather was mainly aerosol particles blown from the north. The results of this study provide a basis for satellite- and ground-based lidar joint observation under different weather types, as well as help in the study of urban weather change and pollution prevention. |
| WOS关键词 | YANGTZE-RIVER DELTA ; DOPPLER LIDAR ; HAZE EPISODE ; CALIPSO ; CHINA ; POLLUTANTS ; TRANSPORT ; AEROSOLS ; PM2.5 |
| 资助项目 | Strategic Priority Research Program of Chinese Academy of Sciences[XDA17040524] ; Key Program of 13th five-year plan, CASHIPS[KP-2019-05] |
| WOS研究方向 | Spectroscopy |
| 语种 | 英语 |
| 出版者 | SPRINGER |
| WOS记录号 | WOS:000742605500013 |
| 资助机构 | Strategic Priority Research Program of Chinese Academy of Sciences ; Key Program of 13th five-year plan, CASHIPS |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/127119]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Xie, Ch |
| 作者单位 | 1.Adv Laser Technol Lab Anhui Prov, Hefei 230037, Peoples R China 2.Univ Sci & Technol China, Grad Sch, Sci Isl Branch, Hefei 230026, Peoples R China 3.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Atmospher Opt, Hefei 230031, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, H.,Fang, Zh,Deng, X.,et al. Detection by Space-Borne and Ground-Based Lidar Observations of Air Pollution on the Example of the Hefei Area[J]. JOURNAL OF APPLIED SPECTROSCOPY,2022,88. |
| APA | Yang, H.,Fang, Zh,Deng, X.,Cao, Y.,&Xie, Ch.(2022).Detection by Space-Borne and Ground-Based Lidar Observations of Air Pollution on the Example of the Hefei Area.JOURNAL OF APPLIED SPECTROSCOPY,88. |
| MLA | Yang, H.,et al."Detection by Space-Borne and Ground-Based Lidar Observations of Air Pollution on the Example of the Hefei Area".JOURNAL OF APPLIED SPECTROSCOPY 88(2022). |
入库方式： OAI收割
来源：合肥物质科学研究院
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