基于偏振激光雷达对远距离传输沙尘在局地混合过程的观测研究

大气与环境光学学报 ›› 2021, Vol. 16 ›› Issue (4): 299-306.

基于偏振激光雷达对远距离传输沙尘在局地混合过程的观测研究

殷振平1;2, 易帆1;2∗, 王威1;2, 何芸1;2, 柳付超1;2, 张云鹏1;2, 余长明1;2

1 武汉大学电子信息学院, 湖北武汉 430072; 2 武汉大气遥感国家野外科学观测研究站, 湖北武汉 430072

收稿日期:2020-08-31 修回日期:2021-05-19 出版日期:2021-07-28 发布日期:2021-07-28
通讯作者: E-mail: yf@whu.edu.cn E-mail:zp.yin@whu.edu.cn
作者简介:殷振平 (1992 - ), 湖北鄂州人, 博士研究生, 主要从事大气遥感方面的研究工作。 E-mail: zp.yin@whu.edu.cn
基金资助:
Supported by National Major Scientific Instruments and Equipments Development Project of National Natural Science Foundation of China (国家重大科研仪器研制项目, 41927804), National Natural Science Foundation of China (国家自然科学基金委青年科学基金项目, 42005101)

Investigation of Entrainment of Transported Dust into Local Planetary Boundary Layer with Polarization Lidar

YIN Zhenping1;2, YI Fan1;2∗, WANG Wei1;2, HE Yun1;2, LIU Fuchao1;2, ZHANG Yunpeng1;2, YU Changming1;2

1 School of Electronics and Information, Wuhan University, Wuhan, 430072, China; 2 State Observatory for Atmospheric Remote Sensing, Wuhan, 430072, China

Received:2020-08-31 Revised:2021-05-19 Published:2021-07-28 Online:2021-07-28
Contact: Zhenping Yin E-mail:zp.yin@whu.edu.cn

摘要/Abstract

摘要： 利用国控站点的 PM2:5 和 PM10 含量, 分析了一次蒙古地区沙尘的远距离传输事件; 并结合 532 nm 偏振激光雷达的观测结果, 研究了沙尘在武汉地区的混合过程。研究表明, 在这次沙尘事件中, 边界层顶的夹卷过程和边界层内的对流混合对沙尘在局地的分布起到重要的作用。在沙尘输入初始时期, 沙尘高度约为 1 km, 主沙尘层经过边界层顶的夹卷过程进入边界层内, 并在对流混合作用下在边界层内最终呈现近似均匀的高度分布。在沙尘事件末期, 北方污染的输入带来约 4300 t 城市气溶胶, 约为军运会期间武汉地区城市气溶胶总含量的十倍。

关键词: 偏振激光雷达, 沙尘, 边界层夹卷过程, 沙尘含量反演算法

Abstract: A transported dust case was investigated by using the data of PM2:5 and PM10 from ground monitoring stations and the observation results with 532 nm polarization lidar. Entrainment and convective mixing processes, which were found to play an important role in re-distributing the dust particles, were depicted in detail. At the early stage of the dust episode, dust particles were lifted above 1 km. After the evolution of planetary boundary layer at daytime, the dust particles were entrained into the boundary layer and evenly distributed by convective mixing. At the end of the dust case, the pollution from North China Plain arrived at Wuhan bringing about 4300 tons of anthropogenic aerosols, which is about ten times of the total content of urban aerosols in Wuhan during the 7th CISM Military World Games.

Key words: polarization lidar, mineral dust, entrainment, dust separation algorithm

中图分类号:

P412

殷振平, 易帆, ∗, 王威, 何芸, 柳付超, 张云鹏, 余长明, . 基于偏振激光雷达对远距离传输沙尘在局地混合过程的观测研究[J]. 大气与环境光学学报, 2021, 16(4): 299-306.

YIN Zhenping, YI Fan, ∗, WANG Wei, HE Yun, LIU Fuchao, ZHANG Yunpeng, YU Changming, . Investigation of Entrainment of Transported Dust into Local Planetary Boundary Layer with Polarization Lidar[J]. Journal of Atmospheric and Environmental Optics, 2021, 16(4): 299-306.

参考文献 22

[1]	Stocker T F. Climate change 2013: The physical science basis: Working Group I contribution to the Fifth assessment report of
	the Intergovernmental Panel on Climate Change [OL]. 2014. https://www.ipcc.ch/report/ar5/wg1/.
[2]	Andreae M O. Climatic Effects of Changing Atmospheric Aerosol Levels [M]. World Survey of Climatology. Amsterdam:
	Elsevier, 1995: 347-398.
[3]	Zender C S, Miller R L R L, Tegen I. Quantifying mineral dust mass budgets: Terminology, constraints, and current estimates
[J]	Eos, Transactions American Geophysical Union, 2004, 85(48): 509-512.
[4]	Zhang X Y, Arimoto R, An Z S. Dust emission from Chinese desert sources linked to variations in atmospheric circulation [J].
	Journal of Geophysical Research: Atmospheres, 1997, 102(D23): 28041-28047.
[5]	Johnson B T, Brooks M E, Walters D, et al. Assessment of the Met Office dust forecast model using observations from the
	GERBILS campaign [J]. Quarterly Journal of the Royal Meteorological Society, 2011, 137(658): 1131-1148.
[6]	Mamouri R E, Ansmann A. Fine and coarse dust separation with polarization lidar [J]. Atmospheric Measurement Techniques,
20	14, 7(11): 3717-3735.
[7]	He Y, Yi F. Dust aerosols detected using a ground-based polarization lidar and CALIPSO over Wuhan (30.5◦ N, 114.4◦ E),
	China [J]. Advances in Meteorology, 2015, 2015: 1-18.
[8]	Sun J M, Zhang M Y, Liu T. Spatial and temporal characteristics of dust storms in China and its surrounding regions, 1960-
19	99: Relations to source area and climate [J]. Journal of Geophysical Research: Atmospheres, 2001, 106(D10): 10325-10333.
[9]	Liu F C, Yi F. Lidar-measured atmospheric N2 vibrational-rotational Raman spectra and consequent temperature retrieval [J].
	Optics Express, 2014, 22(23): 27833-27844.
[10]	Liu F, Yi F. Spectrally resolved Raman lidar measurements of gaseous and liquid water in the atmosphere [J]. Applied Optics,
20	13, 52(28): 6884-6895.
[11]	Weng M, Yi F, Liu F C, et al. Single-line-extracted pure rotational Raman lidar to measure atmospheric temperature and aerosol
	profiles [J]. Optics Express, 2018, 26(21): 27555-27571.
[12]	Kong W, Yi F. Convective boundary layer evolution from lidar backscatter and its relationship with surface aerosol concentration at a location of a central China megacity [J]. Journal of Geophysical Research: Atmospheres, 2015, 120(15): 7928-7940.
[13]	Hayman M, Thayer J P. General description of polarization in lidar using Stokes vectors and polar decomposition of Mueller
	matrices [J]. Journal of the Optical Society of America A, 2012, 29(4): 400-409.
[14]	Zhao S P, Yu Y, Yin D Y, et al. Annual and diurnal variations of gaseous and particulate pollutants in 31 provincial capital
	cities based on in situ air quality monitoring data from China National Environmental Monitoring Center [J]. Environment
	International, 2016, 86: 92-106.
[15]	Haarig M, Ansmann A, Gasteiger J, et al. Dry versus wet marine particle optical properties: RH dependence of depolarization
	ratio, backscatter, and extinction from multiwavelength lidar measurements during SALTRACE [J]. Atmospheric Chemistry
	and Physics, 2017, 17(23): 14199-14217.
[16]	Ansmann A, Mamouri R E, Hofer J, et al. Dust mass, cloud condensation nuclei, and ice-nucleating particle profiling with
	polarization lidar: Updated POLIPHON conversion factors from global AERONET analysis [J]. Atmospheric Measurement
	Techniques, 2019, 12(9): 4849-4865.
[17]	Hu Q Y, Wang H F, Goloub P, et al. The characterization of Taklamakan dust properties using a multiwavelength Raman
	polarization lidar in Kashi, China [J]. Atmospheric Chemistry and Physics, 2020, 20(22): 13817-13834.
[18]	Hofer J, Althausen D, Abdullaev S F, et al. Long-term profiling of mineral dust and pollution aerosol with multiwavelength
	polarization Raman lidar at the Central Asian site of Dushanbe, Tajikistan: Case studies [J]. Atmospheric Chemistry and
	Physics, 2017, 17(23): 14559-14577.
[19]	Shimizu A, Sugimoto N, Matsui I, et al. Continuous observations of Asian dust and other aerosols by polarization lidars in
	China and Japan during ACE-Asia [J]. Journal of Geophysical Research: Atmospheres, 2004, 109(D19): D19S17.
[20]	Müller D, Ansmann A, Mattis I, et al. Aerosol-type-dependent lidar ratios observed with Raman lidar [J]. Journal of Geophysical Research: Atmospheres, 2007, 112(D16): D16202.
[21]	Tian Y, Pan X L, Nishizawa T, et al. Variability of depolarization of aerosol particles in the megacity of Beijing: Implications
	for the interaction between anthropogenic pollutants and mineral dust particles [J]. Atmospheric Chemistry and Physics, 2018,
18	(24): 18203-18217.
[22]	Pan X L, Uno I, Wang Z, et al. Real-time observational evidence of changing Asian dust morphology with the mixing of heavy
	anthropogenic pollution [J]. Scientific Reports, 2017, 7(1): 33