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Remote Sensing
Volume 13
Issue 16
10.3390/rs13163326
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Article

Profiling of Dust and Urban Haze Mass Concentrations during the 2019 National Day Parade in Beijing by Polarization Raman Lidar

by
Zhuang Wang
1,2,
Cheng Liu
1,2,3,4,5,
Yunsheng Dong
1,
Qihou Hu
1,
Ting Liu
6,
Yizhi Zhu
1,2 and
Chengzhi Xing
1,*
1
Key Lab of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
2
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, China
3
Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
4
Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, University of Science and Technology of China, Hefei 230026, China
5
Anhui Province Key Laboratory of Polar Environment and Global Change, University of Science and Technology of China, Hefei 230026, China
6
Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei 230026, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2021, 13(16), 3326; https://doi.org/10.3390/rs13163326
Submission received: 2 July 2021 / Revised: 7 August 2021 / Accepted: 20 August 2021 / Published: 23 August 2021
(This article belongs to the Special Issue Optical and Laser Remote Sensing of Atmospheric Composition)
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Abstract

The polarization–Raman Lidar combined sun photometer is a powerful method for separating dust and urban haze backscatter, extinction, and mass concentrations. The observation was performed in Beijing during the 2019 National Day parade, the particle depolarization ratio at 532 nm and Lidar ratio at 355 nm are 0.13 ± 0.05 and 52 ± 9 sr, respectively. It is the typical value of a mixture of dust and urban haze. Here we quantify the contributions of cross-regional transported natural dust and urban haze mass concentrations to Beijing’s air quality. There is a significant correlation between urban haze mass concentrations and surface PM2.5 (R = 0.74, p < 0.01). The contributions of local emissions to air pollution during the 2019 National Day parade were insignificant, mainly affected by regional transport, including urban haze in North China plain and Guanzhong Plain (Hebei, Tianjin, Shandong, and Shanxi), and dust aerosol in Mongolia regions and Xinjiang. Moreover, the trans-regional transmission of natural dust dominated the air pollution during the 2019 National Day parade, with a relative contribution to particulate matter mass concentrations exceeding 74% below 4 km. Our results highlight that controlling anthropogenic emissions over regional scales and focusing on the effects of natural dust is crucial and effective to improve Beijing’s air quality.
Keywords: Raman Lidar; mass concentrations; dust; urban haze; depolarization ratio; MODIS Raman Lidar; mass concentrations; dust; urban haze; depolarization ratio; MODIS

Share and Cite

MDPI and ACS Style

Wang, Z.; Liu, C.; Dong, Y.; Hu, Q.; Liu, T.; Zhu, Y.; Xing, C. Profiling of Dust and Urban Haze Mass Concentrations during the 2019 National Day Parade in Beijing by Polarization Raman Lidar. Remote Sens. 2021, 13, 3326. https://doi.org/10.3390/rs13163326

AMA Style

Wang Z, Liu C, Dong Y, Hu Q, Liu T, Zhu Y, Xing C. Profiling of Dust and Urban Haze Mass Concentrations during the 2019 National Day Parade in Beijing by Polarization Raman Lidar. Remote Sensing. 2021; 13(16):3326. https://doi.org/10.3390/rs13163326

Chicago/Turabian Style

Wang, Zhuang, Cheng Liu, Yunsheng Dong, Qihou Hu, Ting Liu, Yizhi Zhu, and Chengzhi Xing. 2021. "Profiling of Dust and Urban Haze Mass Concentrations during the 2019 National Day Parade in Beijing by Polarization Raman Lidar" Remote Sensing 13, no. 16: 3326. https://doi.org/10.3390/rs13163326

APA Style

Wang, Z., Liu, C., Dong, Y., Hu, Q., Liu, T., Zhu, Y., & Xing, C. (2021). Profiling of Dust and Urban Haze Mass Concentrations during the 2019 National Day Parade in Beijing by Polarization Raman Lidar. Remote Sensing, 13(16), 3326. https://doi.org/10.3390/rs13163326

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