Organic aerosol volatility and viscosity in the North China Plain: contrast between summer and winter
<p><span id="page5464"/>Volatility and viscosity have substantial impacts on gas–particle partitioning, formation and evolution of aerosol and hence the predictions of aerosol-related air quality and climate effects. Here aerosol volatility and viscosity at a rural site (Guchen...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2021-04-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://acp.copernicus.org/articles/21/5463/2021/acp-21-5463-2021.pdf |
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| record_format |
Article |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
W. Xu C. Chen C. Chen Y. Qiu Y. Qiu Y. Li Z. Zhang Z. Zhang E. Karnezi E. Karnezi S. N. Pandis C. Xie C. Xie C. Xie Z. Li Z. Li J. Sun J. Sun N. Ma W. Xu P. Fu P. Fu Z. Wang Z. Wang J. Zhu D. R. Worsnop N. L. Ng N. L. Ng N. L. Ng Y. Sun Y. Sun Y. Sun |
| spellingShingle |
W. Xu C. Chen C. Chen Y. Qiu Y. Qiu Y. Li Z. Zhang Z. Zhang E. Karnezi E. Karnezi S. N. Pandis C. Xie C. Xie C. Xie Z. Li Z. Li J. Sun J. Sun N. Ma W. Xu P. Fu P. Fu Z. Wang Z. Wang J. Zhu D. R. Worsnop N. L. Ng N. L. Ng N. L. Ng Y. Sun Y. Sun Y. Sun Organic aerosol volatility and viscosity in the North China Plain: contrast between summer and winter Atmospheric Chemistry and Physics |
| author_facet |
W. Xu C. Chen C. Chen Y. Qiu Y. Qiu Y. Li Z. Zhang Z. Zhang E. Karnezi E. Karnezi S. N. Pandis C. Xie C. Xie C. Xie Z. Li Z. Li J. Sun J. Sun N. Ma W. Xu P. Fu P. Fu Z. Wang Z. Wang J. Zhu D. R. Worsnop N. L. Ng N. L. Ng N. L. Ng Y. Sun Y. Sun Y. Sun |
| author_sort |
W. Xu |
| title |
Organic aerosol volatility and viscosity in the North China Plain: contrast between summer and winter |
| title_short |
Organic aerosol volatility and viscosity in the North China Plain: contrast between summer and winter |
| title_full |
Organic aerosol volatility and viscosity in the North China Plain: contrast between summer and winter |
| title_fullStr |
Organic aerosol volatility and viscosity in the North China Plain: contrast between summer and winter |
| title_full_unstemmed |
Organic aerosol volatility and viscosity in the North China Plain: contrast between summer and winter |
| title_sort |
organic aerosol volatility and viscosity in the north china plain: contrast between summer and winter |
| publisher |
Copernicus Publications |
| series |
Atmospheric Chemistry and Physics |
| issn |
1680-7316 1680-7324 |
| publishDate |
2021-04-01 |
| description |
<p><span id="page5464"/>Volatility and viscosity have substantial impacts on
gas–particle partitioning, formation and evolution of aerosol and hence the
predictions of aerosol-related air quality and climate effects. Here aerosol
volatility and viscosity at a rural site (Gucheng) and an urban site
(Beijing) in the North China Plain (NCP) in summer and winter were investigated
by using a thermodenuder coupled with a high-resolution aerosol mass
spectrometer. The effective saturation concentration (<span class="inline-formula"><i>C</i><sup>*</sup></span>) of organic aerosol
(OA) in summer was smaller than that in winter (0.55 <span class="inline-formula">µ</span>g m<span class="inline-formula"><sup>−3</sup></span> vs.
0.71–0.75 <span class="inline-formula">µ</span>g m<span class="inline-formula"><sup>−3</sup></span>), indicating that OA in winter in the NCP is more
volatile due to enhanced primary emissions from coal combustion and biomass
burning. The volatility distributions varied and were largely different among
different OA factors. In particular, we found that hydrocarbon-like OA (HOA)
contained more nonvolatile compounds compared to coal-combustion-related
OA. The more oxidized oxygenated OA (MO-OOA) showed overall lower volatility
than less oxidized OOA (LO-OOA) in both summer and winter, yet the
volatility of MO-OOA was found to be relative humidity (RH) dependent
showing more volatile properties at higher RH. Our results demonstrated the
different composition and chemical formation pathways of MO-OOA under
different RH levels. The glass transition temperature (<span class="inline-formula"><i>T</i><sub>g</sub></span>) and viscosity
of OA in summer and winter are estimated using the recently developed
parameterization formula. Our results showed that the <span class="inline-formula"><i>T</i><sub>g</sub></span> of OA in summer
in Beijing (291.5 K) was higher than that in winter (289.7–290.0 K), while
it varied greatly among different OA factors. The viscosity suggested that
OA existed mainly as solid in winter in Beijing (RH <span class="inline-formula">=</span> 29 <span class="inline-formula">±</span> 17 %),
but as semisolids in Beijing in summer (RH <span class="inline-formula">=</span> 48 <span class="inline-formula">±</span> 25 %) and
Gucheng in winter (RH <span class="inline-formula">=</span> 68 <span class="inline-formula">±</span> 24 %). These results have the important
implication that kinetically limited gas–particle partitioning may need to
be considered when simulating secondary OA formation in the NCP.</p> |
| url |
https://acp.copernicus.org/articles/21/5463/2021/acp-21-5463-2021.pdf |
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doaj-d81189cb2d774510bf75bb994c6fa9f42021-04-08T11:57:07ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242021-04-01215463547610.5194/acp-21-5463-2021Organic aerosol volatility and viscosity in the North China Plain: contrast between summer and winterW. Xu0C. Chen1C. Chen2Y. Qiu3Y. Qiu4Y. Li5Z. Zhang6Z. Zhang7E. Karnezi8E. Karnezi9S. N. Pandis10C. Xie11C. Xie12C. Xie13Z. Li14Z. Li15J. Sun16J. Sun17N. Ma18W. Xu19P. Fu20P. Fu21Z. Wang22Z. Wang23J. Zhu24D. R. Worsnop25N. L. Ng26N. L. Ng27N. L. Ng28Y. Sun29Y. Sun30Y. Sun31State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaState Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaCollege of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, ChinaState Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaCollege of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, ChinaState Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaState Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaCollege of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, ChinaDepartment of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USAnow at: Earth Sciences Department, Barcelona Supercomputing Center, BSC-CNS, Barcelona 08034, SpainDepartment of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USAState Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaCollege of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, Chinanow at: State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, ChinaState Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaCollege of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, ChinaState Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaCollege of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, ChinaInstitute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, ChinaState Key Laboratory of Severe Weather & Key Laboratory for Atmospheric Chemistry, Institute of Atmospheric Composition, Chinese Academy of Meteorological Sciences, Beijing, 100081, ChinaCollege of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, ChinaInstitute of Surface-Earth System Science, Tianjin University, Tianjin, 300072, ChinaState Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaCollege of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, ChinaState Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaAerodyne Research Inc., Billerica, MA 01821, USASchool of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USASchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USASchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USAState Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaCollege of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, ChinaCenter for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China<p><span id="page5464"/>Volatility and viscosity have substantial impacts on gas–particle partitioning, formation and evolution of aerosol and hence the predictions of aerosol-related air quality and climate effects. Here aerosol volatility and viscosity at a rural site (Gucheng) and an urban site (Beijing) in the North China Plain (NCP) in summer and winter were investigated by using a thermodenuder coupled with a high-resolution aerosol mass spectrometer. The effective saturation concentration (<span class="inline-formula"><i>C</i><sup>*</sup></span>) of organic aerosol (OA) in summer was smaller than that in winter (0.55 <span class="inline-formula">µ</span>g m<span class="inline-formula"><sup>−3</sup></span> vs. 0.71–0.75 <span class="inline-formula">µ</span>g m<span class="inline-formula"><sup>−3</sup></span>), indicating that OA in winter in the NCP is more volatile due to enhanced primary emissions from coal combustion and biomass burning. The volatility distributions varied and were largely different among different OA factors. In particular, we found that hydrocarbon-like OA (HOA) contained more nonvolatile compounds compared to coal-combustion-related OA. The more oxidized oxygenated OA (MO-OOA) showed overall lower volatility than less oxidized OOA (LO-OOA) in both summer and winter, yet the volatility of MO-OOA was found to be relative humidity (RH) dependent showing more volatile properties at higher RH. Our results demonstrated the different composition and chemical formation pathways of MO-OOA under different RH levels. The glass transition temperature (<span class="inline-formula"><i>T</i><sub>g</sub></span>) and viscosity of OA in summer and winter are estimated using the recently developed parameterization formula. Our results showed that the <span class="inline-formula"><i>T</i><sub>g</sub></span> of OA in summer in Beijing (291.5 K) was higher than that in winter (289.7–290.0 K), while it varied greatly among different OA factors. The viscosity suggested that OA existed mainly as solid in winter in Beijing (RH <span class="inline-formula">=</span> 29 <span class="inline-formula">±</span> 17 %), but as semisolids in Beijing in summer (RH <span class="inline-formula">=</span> 48 <span class="inline-formula">±</span> 25 %) and Gucheng in winter (RH <span class="inline-formula">=</span> 68 <span class="inline-formula">±</span> 24 %). These results have the important implication that kinetically limited gas–particle partitioning may need to be considered when simulating secondary OA formation in the NCP.</p>https://acp.copernicus.org/articles/21/5463/2021/acp-21-5463-2021.pdf |