Measurement report: Size distributions of urban aerosols down to 1 nm from long-term measurements
-
Published:2022-10-19
Issue:20
Volume:22
Page:13569-13580
-
ISSN:1680-7324
-
Container-title:Atmospheric Chemistry and Physics
-
language:en
-
Short-container-title:Atmos. Chem. Phys.
Author:
Deng Chenjuan, Li Yiran, Yan ChaoORCID, Wu Jin, Cai Runlong, Wang Dongbin, Liu YongchunORCID, Kangasluoma JuhaORCID, Kerminen Veli-MattiORCID, Kulmala MarkkuORCID, Jiang Jingkun
Abstract
Abstract. The size distributions of urban atmospheric aerosols
convey important information on their origins and impacts. Their long-term
characteristics, especially for sub-3 nm particles, are still limited. In
this study, we examined the characteristics of atmospheric aerosol size
distributions down to ∼1 nm based on 4-year measurements in urban Beijing.
Using cluster analysis, three typical types of number size distributions
were identified, i.e., daytime new particle formation (NPF) type, daytime
non-NPF type, and nighttime type. Combining a power law distribution and
multiple lognormal distributions can well represent the sharp concentration
decrease of sub-3 nm particles with increasing size and the modal
characteristics for those above 3 nm in the submicron size range. The
daytime NPF type exhibits high concentrations of sub-3 nm aerosols
together with other three modes. However, both the daytime non-NPF type
and the nighttime type have a low abundance of sub-3 nm aerosol particles
together with only two distinct modes. In urban Beijing, the concentration
of H2SO4 monomer during the daytime with NPF is similar to that
during the daytime without NPF, while significantly higher than that during
the nighttime. The concentration of atmospheric sub-3 nm particles on NPF
days has a strong seasonality while their seasonality on non-NPF days is
less pronounced. In addition to NPF as the most important source, we show
that vehicles can emit sub-3 nm particles as well, although their
influence on the measured aerosol population strongly depends on the
distance from the road.
Funder
National Natural Science Foundation of China Samsung Academy of Finland Jane ja Aatos Erkon Säätiö FP7 Ideas: European Research Council
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference63 articles.
1. Adams, P. J.: Predicting global aerosol size distributions in general
circulation models, J. Geophys. Res., 107, 4370,
https://doi.org/10.1029/2001jd001010, 2002. 2. Beck, L. J., Schobesberger, S., Sipilä, M., Kerminen, V.-M., and Kulmala, M.: Estimation of sulfuric acid concentration using ambient ion composition and concentration data obtained with atmospheric pressure interface time-of-flight ion mass spectrometer, Atmos. Meas. Tech., 15, 1957–1965, https://doi.org/10.5194/amt-15-1957-2022, 2022. 3. Beddows, D. C. S., Dall'Osto, M., and Harrison, R. M.: Cluster Analysis of
Rural, Urban, and Curbside Atmospheric Particle Size Data, Environ.
Sci. Technol., 43, 4694–4700, https://doi.org/10.1021/es803121t, 2009. 4. Bergman, T., Kerminen, V.-M., Korhonen, H., Lehtinen, K. J., Makkonen, R., Arola, A., Mielonen, T., Romakkaniemi, S., Kulmala, M., and Kokkola, H.: Evaluation of the sectional aerosol microphysics module SALSA implementation in ECHAM5-HAM aerosol-climate model, Geosci. Model Dev., 5, 845–868, https://doi.org/10.5194/gmd-5-845-2012, 2012. 5. Binkowski, F. S. and Roselle, S. J.: Models-3 Community Multiscale Air
Quality (CMAQ) model aerosol component 1. Model description, J.
Geophys. Res.-Atmos., 108, 4183, https://doi.org/10.1029/2001jd001409, 2003.
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|