Detection of a Dust Storm in 2020 by a Multi-Observation Platform over the Northwest China

被引:21
作者
Yang, Lili [1 ]
Hu, Zhiyuan [3 ,4 ]
Huang, Zhongwei [1 ]
Wang, Lina [2 ]
Han, Wenyu [5 ]
Yang, Yanping [1 ,2 ]
Tao, Huijie [2 ]
Wang, Jing [6 ]
机构
[1] Lanzhou Univ, Coll Atmospher Sci, Key Lab Semi Arid Climate Change, Minist Educ, Lanzhou 730000, Peoples R China
[2] Gansu Prov Environm Monitoring Ctr, Forecast Dept, Lanzhou 730020, Peoples R China
[3] Sun Yat Sen Univ, Sch Atmospher Sci, Key Lab Trop Atmosphere Ocean Syst, Minist Educ, Zhuhai 519082, Peoples R China
[4] Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519082, Peoples R China
[5] Lanzhou Ecol Environm Monitoring Ctr, Forecast Dept, Lanzhou 730000, Peoples R China
[6] Wuxi CAS Photon Co Ltd, Mkt Ctr, Wuxi 214135, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
lidars; dust storm; extinction coefficient; depolarization ratio; particulate concentration; TRANS-PACIFIC TRANSPORT; BLACK CARBON; LIDAR OBSERVATIONS; MASS CONCENTRATION; SEASONAL SNOW; AEROSOLS; EXTINCTION; PARTICLES; EVOLUTION; TSUKUBA;
D O I
10.3390/rs13061056
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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.
引用
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页数:18
相关论文
共 50 条
[1]   Effects of Increasing Aridity on Ambient Dust and Public Health in the U.S. Southwest Under Climate Change [J].
Achakulwisut, Pattanun ;
Anenberg, Susan C. ;
Neumann, James E. ;
Penn, Stefani L. ;
Weiss, Natalie ;
Crimmins, Allison ;
Fann, Neal ;
Martinich, Jeremy ;
Roman, Henry ;
Mickley, Loretta J. .
GEOHEALTH, 2019, 3 (05) :127-144
[2]   An Introduction to Himawari-8/9-Japan's New-Generation Geostationary Meteorological Satellites [J].
Bessho, Kotaro ;
Date, Kenji ;
Hayashi, Masahiro ;
Ikeda, Akio ;
Imai, Takahito ;
Inoue, Hidekazu ;
Kumagai, Yukihiro ;
Miyakawa, Takuya ;
Murata, Hidehiko ;
Ohno, Tomoo ;
Okuyama, Arata ;
Oyama, Ryo ;
Sasaki, Yukio ;
Shimazu, Yoshio ;
Shimoji, Kazuki ;
Sumida, Yasuhiko ;
Suzuki, Masuo ;
Taniguchi, Hidetaka ;
Tsuchiyama, Hiroaki ;
Uesawa, Daisaku ;
Yokota, Hironobu ;
Yoshida, Ryo .
JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 2016, 94 (02) :151-183
[3]   MODIS satellite data evaluation for sand and dust storm monitoring in Saudi Arabia [J].
Butt, Mohsin Jamil, I ;
Mashat, AbdulWahab S. .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2018, 39 (23) :8627-8645
[4]  
[程海霞 CHENG Haixia], 2005, [中国沙漠, Journal of Desert Research], V25, P891
[5]   Trans-pacific dust transport: integrated analysis of NASA/CALIPSO and a global aerosol transport model [J].
Eguchi, K. ;
Uno, I. ;
Yumimoto, K. ;
Takemura, T. ;
Shimizu, A. ;
Sugimoto, N. ;
Liu, Z. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2009, 9 (09) :3137-3145
[6]   ANALYSIS OF ATMOSPHERIC LIDAR OBSERVATIONS - SOME COMMENTS [J].
FERNALD, FG .
APPLIED OPTICS, 1984, 23 (05) :652-653
[7]   Polarization lidar returns from aerosols and thin clouds: a framework for the analysis [J].
Gobbi, GP .
APPLIED OPTICS, 1998, 37 (24) :5505-5508
[8]   Assessment of MERRA-2 Surface PM2.5 over the Yangtze River Basin: Ground-based Verification, Spatiotemporal Distribution and Meteorological Dependence [J].
He, Lijie ;
Lin, Aiwen ;
Chen, Xinxin ;
Zhou, Hao ;
Zhou, Zhigao ;
He, Peipei .
REMOTE SENSING, 2019, 11 (04)
[9]  
He T., 2013, CHINESE J LASERS, V40, DOI 10.3788/CJL201340.0113001
[10]   Modeling dust sources, transport, and radiative effects at different altitudes over the Tibetan Plateau [J].
Hu, Zhiyuan ;
Huang, Jianping ;
Zhao, Chun ;
Jin, Qinjian ;
Ma, Yuanyuan ;
Yang, Ben .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (03) :1507-1529