气候变化领域集成服务门户(CCPortal): Long-term variation in aerosol lidar ratio in Shanghai based on Raman lidar measurements

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DOI	10.5194/acp-21-5377-2021
	Long-term variation in aerosol lidar ratio in Shanghai based on Raman lidar measurements
	Liu T.; He Q.; Chen Y.; Liu J.; Liu Q.; Gao W.; Huang G.; Shi W.; Yu X.
发表日期	2021
ISSN	1680-7316
起始页码	5377
结束页码	5391
卷号	21 期号:7
英文摘要	Accurate lidar ratio (LR) and better understanding of its variation characteristics can not only improve the retrieval accuracy of parameters from elastic lidar, but also play an important role in assessing the impacts of aerosols on climate. Using the observational data of a Raman lidar in Shanghai from 2017 to 2019, LRs at 355 nm were retrieved and their variations and influence factors were analyzed. Within the height range of 0.5-5 km, about 90% of the LRs were distributed in 10-80 sr with an average value of 41.0±22.5 sr, and the LR decreased with the increase in height. The volume depolarization ratio (δ) was positively correlated with LR, and it also decreased with the increase in height, indicating that the vertical distribution of particle shape was one of the influence factors of the variations in LR with height. LR had a strong dependence on the original source of air masses. Affected by the aerosols transported from the northwest, the average LR was the largest, 44.2±24.7 sr, accompanied by the most irregular particle shape. The vertical distribution of LR was affected by atmospheric turbidity, with the greater gradient of LR under clean conditions. The LR above 1 km could be more than 80 sr, when Shanghai was affected by biomass burning aerosols. © 2021 Author(s).
语种	英语
scopus关键词	accuracy assessment; aerosol; biomass burning; concentration (composition); data set; lidar; Raman spectroscopy; source apportionment; spatiotemporal analysis; China; Shanghai
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/246992
作者单位	College of Environmental Science and Engineering, Donghua University, Shanghai, 201620, China; Shanghai Meteorological Service, Shanghai, 201199, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai, 201199, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai, 200092, China; Shanxi Institute of Meteorological Sciences, Taiyuan, 030000, China
推荐引用方式 GB/T 7714	Liu T.,He Q.,Chen Y.,et al. Long-term variation in aerosol lidar ratio in Shanghai based on Raman lidar measurements[J],2021,21(7).
APA	Liu T..,He Q..,Chen Y..,Liu J..,Liu Q..,...&Yu X..(2021).Long-term variation in aerosol lidar ratio in Shanghai based on Raman lidar measurements.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(7).
MLA	Liu T.,et al."Long-term variation in aerosol lidar ratio in Shanghai based on Raman lidar measurements".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.7(2021).