干旱区生态环境知识资源中心(Arid): Detection of a Dust Storm in 2020 by a Multi-Observation Platform over the Northwest China

Arid

DOI	10.3390/rs13061056
	Detection of a Dust Storm in 2020 by a Multi-Observation Platform over the Northwest China
	Yang, Lili; Hu, Zhiyuan; Huang, Zhongwei; Wang, Lina; Han, Wenyu; Yang, Yanping; Tao, Huijie; Wang, Jing
通讯作者	Hu, ZY (corresponding author), Sun Yat Sen Univ, Sch Atmospher Sci, Key Lab Trop Atmosphere Ocean Syst, Minist Educ, Zhuhai 519082, Peoples R China. ; Hu, ZY (corresponding author), Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519082, Peoples R China.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:6
英文摘要	Dust storms have occurred frequently in northwest China and can dramatically reduce visibility and exacerbate air quality in downwind regions through long-range transport. In order to study the distribution characteristics of dust particles sizes, structures and concentrations in the process of dust storm, especially for the vertical distributions, the multi-observation platform composed of six Lidars and nine aerosol analytical instruments is first used to detect a severe dust storm event, which occurred in Northwest China on 3 May 2020. As a strong weather system process, the dust storm has achieved high intensity and wide range. When the intensity of a dust storm is at its strongest, the ratios of PM2.5 (particulate matter with diameter < 2.5 mu m) and PM10 (particulate matter with diameter < 10 mu m) (PM2.5/PM10) in cities examined were less than 0.2 and the extinction coefficients became greater than 1 km(-1) based on Lidar observations. In addition, the growth rates of PM2.5 were higher than that of PM10. The dust particles mainly concentrated at heights of 2 km, after being transported about 200-300 km, vertical height increased by 1-2 km. Meanwhile, the dust concentration decreased markedly. Furthermore, the depolarization ratio showed that dust in the Tengger Desert was dominated by spherical particles. The linear relationships between 532 nm extinction coefficient and the concentration of PM2.5 and PM10 were found firstly and their R-2 were 0.706 to 0.987. Our results could give more information for the physical schemes to simulate dust storms in specific models, which could improve the forecast of dust storms.
英文关键词	lidars dust storm extinction coefficient depolarization ratio particulate concentration
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000651994500001
WOS关键词	TRANS-PACIFIC TRANSPORT ; BLACK CARBON ; LIDAR OBSERVATIONS ; MASS CONCENTRATION ; SEASONAL SNOW ; AEROSOLS ; EXTINCTION ; PARTICLES ; EVOLUTION ; TSUKUBA
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	兰州大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351498
作者单位	[Yang, Lili; Huang, Zhongwei; Yang, Yanping] Lanzhou Univ, Coll Atmospher Sci, Key Lab Semi Arid Climate Change, Minist Educ, Lanzhou 730000, Peoples R China; [Wang, Lina; Yang, Yanping; Tao, Huijie] Gansu Prov Environm Monitoring Ctr, Forecast Dept, Lanzhou 730020, Peoples R China; [Hu, Zhiyuan] Sun Yat Sen Univ, Sch Atmospher Sci, Key Lab Trop Atmosphere Ocean Syst, Minist Educ, Zhuhai 519082, Peoples R China; [Hu, Zhiyuan] Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519082, Peoples R China; [Han, Wenyu] Lanzhou Ecol Environm Monitoring Ctr, Forecast Dept, Lanzhou 730000, Peoples R China; [Wang, Jing] Wuxi CAS Photon Co Ltd, Mkt Ctr, Wuxi 214135, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Yang, Lili,Hu, Zhiyuan,Huang, Zhongwei,et al. Detection of a Dust Storm in 2020 by a Multi-Observation Platform over the Northwest China[J]. 兰州大学,2021,13(6).
APA	Yang, Lili.,Hu, Zhiyuan.,Huang, Zhongwei.,Wang, Lina.,Han, Wenyu.,...&Wang, Jing.(2021).Detection of a Dust Storm in 2020 by a Multi-Observation Platform over the Northwest China.REMOTE SENSING,13(6).
MLA	Yang, Lili,et al."Detection of a Dust Storm in 2020 by a Multi-Observation Platform over the Northwest China".REMOTE SENSING 13.6(2021).