Molecular characterization of size-segregated organic aerosols in the urban boundary layer in wintertime Beijing by FT-ICR MS

2021 ◽  
Author(s):  
Qiaorong Xie ◽  
Sihui Su ◽  
Shuang Chen ◽  
Qiang Zhang ◽  
Siyao Yue ◽  
...  

Our study provides unique information on the vertical profiles and size distribution of urban organic aerosols by FT-ICR MS.

2021 ◽  
Author(s):  
Hong Ren ◽  
Wei Hu ◽  
Lianfang Wei ◽  
Siyao Yue ◽  
Jian Zhao ◽  
...  

Abstract. Secondary organic aerosols (SOA) play a significant role in atmospheric chemistry. However, little is known about the vertical profiles of SOA in the urban boundary layer (UBL). This gap in the knowledge constrains the SOA simulation in chemical transport models. Here, we synchronously collected aerosol samples at 8 m, 120 m and 260 m based on a 325-m meteorological tower in urban Beijing from August 15th to September 10th, 2015. Strict emission controls were implemented during this period for the 2015 China Victory Day Parade. The sum of biogenic SOA tracers increased with height. The fraction of SOA from isoprene oxidation increased, whereas the fraction of monoterpene and sesquiterpene SOA decreased with height. The 2,3-dihydroxy-4-oxopentanoic acid (DHOPA), one tracer of anthropogenic SOA from toluene oxidation, also increased with height. The complicated vertical profiles of SOA tracers highlighted the needs to measure SOA within the UBL. The sum of estimated secondary organic carbon (SOC) ranged from 341 to 673 ngC m−3. The increase in the SOC fraction from isoprene and toluene with height was found to be more related to regional transport whereas the decrease in the SOC from monoterpene and sesquiterpene with height was more subject to local emissions. Emission controls during the parade reduced SOC by 4–35 % with toluene SOC decreasing more than the other SOC. This study demonstrates that vertical distributions of SOA within the UBL are complex, and the vertical profiles of SOA concentrations and sources should be considered in the future field and modelling studies.


2013 ◽  
Vol 57 (6) ◽  
pp. 1158-1167 ◽  
Author(s):  
Hong Lu ◽  
Quan Shi ◽  
QingLin Ma ◽  
Yang Shi ◽  
JinZhong Liu ◽  
...  

2020 ◽  
Author(s):  
Chen He ◽  
Yahe Zhang ◽  
Yunyun Li ◽  
Xiaocun Zhuo ◽  
Yuguo Li ◽  
...  

2009 ◽  
Vol 52 (4) ◽  
pp. 159-171 ◽  
Author(s):  
Keiko Miyabayashi ◽  
Yasuhide Naito ◽  
Mikio Miyake
Keyword(s):  

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