Volume 53
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Shen, L., Hao, F., Gao, M., Wang, H., Zhu, B., Gao, J., . . . Xie, F. (2020). Real-time geochemistry of urban aerosol during a heavy dust episode by single-particle aerosol mass spectrometer: Spatio-temporal variability, mixing state and spectral distribution. Particuology, 53, 197-207. https://doi.org/10.1016/j.partic.2020.02.001
Real-time geochemistry of urban aerosol during a heavy dust episode by single-particle aerosol mass spectrometer: Spatio-temporal variability, mixing state and spectral distribution
Lijuan Shen a, Feng Hao b, Meng Gao c, Honglei Wang a d *, Bin Zhu a, Jimei Gao b, Yufei Cheng b, Fei Xie b
a Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing 210044, China
b Environmental Monitoring Centre of Inner Mongolia Autonomous Region, Hohhot 010090, China
c Department of Geography, Hong Kong Baptist University, Hong Kong, China
d State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
10.1016/j.partic.2020.02.001
Volume 53, December 2020, Pages 197-207
Received 25 October 2019, Revised 23 January 2020, Accepted 2 February 2020, Available online 9 April 2020, Version of Record 16 December 2020.
E-mail: hongleiwang@nuist.edu.cn

Highlights

• SPAMS were simultaneously observed in Hohhot and Nanjing.

• Dust intensity (impacted time) weakened (lengthened) with extension of transport distance.

• Spectrum peak was 0.12 μm larger in the dust episode of Nanjing.

• Proportions of EC-secondary and EC-nitrate particles decreased in the dust episode.


Abstract

A heavy dust episode occurred from May 3 to 8, 2017 in China, with an influenced area exceeding 1.63 million km2. In this work, the mixing state of aerosols and their spectral distributions were simultaneously observed in the sand source region of Hohhot and the long-range dust transport region of Nanjing by using a single-particle aerosol mass spectrometer (SPAMS). The duration time of this dust episode was 37–40 h in Hohhot and prolonged to 51–104 h in Nanjing. Totals of 336,135 (Hohhot) and 235,840 (Nanjing) particles in PM2.5 were successfully ionized to identify 10 main particle classes. During this episode, aerosol particles including OCEC (30.65%), K (22.42%), K-CN (17.03%), sodium (9.46%), heavy metal (8.96%), EC-sulfate (3.46%) and Al (3.22%) were prevailing in Hohhot and were dominated by EC-sulfate (22.26%), OCEC (15.21%), heavy metal (11.96%), K (13.68%), sodium (12.27%), Al (10.54%) and EC (9.02%) in Nanjing. The spectral distribution peaked at 0.66 μm during the dust episode in Nanjing, 0.12 μm larger than the peak size in the non-dust episode. Strong signals at −62[NO3] and −61[HCO3]/−61[C5H] for aerosol particles were observed in Hohhot and Nanjing respectively. The proportions of K-CN, sodium, heavy mental, OCEC and EC-sulfate particles in the dust episode of Hohhot were 2.75, 1.41, 1.80, 1.22 and 1.28 times as large as the values in the non-dust episode. For Nanjing, the fractions of EC-sulfate, EC, Al particles in the dust episode were 10.55, 4.65 and 1.46 times higher than values in the non-dust episode. The proportions of EC-secondary and EC-nitrate particles were found to decrease in the dust episode in the two regions.

Graphical abstract
Keywords
Dust storm; Mixing state; Spectral distribution; Aerosol; SPAMS