Articles | Volume 21, issue 9
https://doi.org/10.5194/acp-21-7321-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-7321-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 May 2021
Research article |
| 12 May 2021
| 12 May 2021
Source apportionment of fine organic carbon at an urban site of Beijing using a chemical mass balance model
Jingsha Xu
School of Geography Earth and Environmental Science, University of Birmingham, Birmingham, B15 2TT, UK
Di Liu
School of Geography Earth and Environmental Science, University of Birmingham, Birmingham, B15 2TT, UK
now at: Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
Xuefang Wu
School of Geography Earth and Environmental Science, University of Birmingham, Birmingham, B15 2TT, UK
National Engineering Research Center of Urban Environmental Pollution Control, Beijing Municipal Research Institute of Environmental Protection, Beijing, 100037, China
Tuan V. Vu
School of Geography Earth and Environmental Science, University of Birmingham, Birmingham, B15 2TT, UK
now at: Faculty of Medicine, School of Public Health, Imperial College London, London, UK
Yanli Zhang
Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
Pingqing Fu
Institute of Surface-Earth System Science, Tianjin University, Tianjin, 300072, China
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
Weiqi Xu
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
now at: Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, UMR8212, Gif-sur-Yvette, France
School of Geography Earth and Environmental Science, University of Birmingham, Birmingham, B15 2TT, UK
also at: Department of Environmental Sciences/Center of Excellence in Environmental Studies, King Abdulaziz University, P.O. Box 80203, Jeddah, 21589, Saudi Arabia
School of Geography Earth and Environmental Science, University of Birmingham, Birmingham, B15 2TT, UK
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- Source apportionment of carbonaceous aerosols using hourly data and implications for reducing PM2.5 in the Pearl River Delta region of South China J. Huang et al. 10.1016/j.envres.2022.112960
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- Atmospheric conditions and composition that influence PM<sub>2.5</sub> oxidative potential in Beijing, China S. Campbell et al. 10.5194/acp-21-5549-2021
22 citations as recorded by crossref.
- Variation of pollution sources and health effects on air pollution before and during COVID-19 pandemic in Linfen, Fenwei Plain W. Liu et al. 10.1016/j.envres.2022.113719
- Source apportionment of carbonaceous aerosols in Beijing with radiocarbon and organic tracers: insight into the differences between urban and rural sites S. Hou et al. 10.5194/acp-21-8273-2021
- High-time-resolution chemical composition and source apportionment of PM2.5 in northern Chinese cities: implications for policy Y. Zhang et al. 10.5194/acp-23-9455-2023
- Comparisons of carbonaceous aerosols based on hourly data between two typical pollution events in heavily polluted zhengzhou Z. Kong et al. 10.1016/j.atmosenv.2024.120366
- A machine learning modelling approach to characterize the background pollution in the Western Macedonia region in northwest Greece K. Rizos et al. 10.1016/j.apr.2023.101877
- Characteristics of fine carbonaceous aerosols in Wuhai, a resource-based city in Northern China:Insights from energy efficiency and population density P. Liu et al. 10.1016/j.envpol.2021.118368
- Future PM2.5 emissions from metal production to meet renewable energy demand S. Rathod et al. 10.1088/1748-9326/ac5d9c
- Chemical fingerprints and source resolution of atmospheric fine particles in an industrial harbor based on one-year intermittent field sampling data Y. Tseng et al. 10.1016/j.scitotenv.2022.161335
- Comparing sources of carbonaceous aerosols during haze and nonhaze periods in two northern Chinese cities H. Zhao et al. 10.1016/j.jenvman.2023.119024
- Fresh organic and soot particles from crop straw burning: Morphology, composition and size distribution Y. Li et al. 10.1002/gj.4861
- Source apportionment of carbonaceous aerosols using hourly data and implications for reducing PM2.5 in the Pearl River Delta region of South China J. Huang et al. 10.1016/j.envres.2022.112960
- Chemical components of PM2.5 in different seasons in Harbin, China Q. Yu et al. 10.1016/j.partic.2022.08.002
- An interpretable prediction of FCM driven by small samples for energy analysis based on air quality prediction Z. Peng et al. 10.1080/10962247.2022.2064006
- Quantifying the seasonal variations in and regional transport of PM2.5 in the Yangtze River Delta region, China: characteristics, sources, and health risks Y. Zhan et al. 10.5194/acp-23-9837-2023
- Fine particulate matter and vasoactive 20-hydroxyeicosatetraenoic acid: Insights into the mechanisms of the prohypertensive effects of particulate air pollution T. Wang et al. 10.1016/j.scitotenv.2021.151298
- Refined source apportionment of residential and industrial fuel combustion in the Beijing based on real-world source profiles M. Cui et al. 10.1016/j.scitotenv.2022.154101
- Outdoor charcoal grilling: Particulate and gas-phase emissions, organic speciation and ecotoxicological assessment C. Alves et al. 10.1016/j.atmosenv.2022.119240
- PM2.5 source apportionment using organic marker-based chemical mass balance modeling: Influence of inorganic markers and sensitivity to source profiles Y. Tian et al. 10.1016/j.atmosenv.2022.119477
- Seasonal Variations of Pm2.5 Chemical Compositions in Harbin, China Q. Yu et al. 10.2139/ssrn.4054580
- Insight into PM<sub>2.5</sub> sources by applying positive matrix factorization (PMF) at urban and rural sites of Beijing D. Srivastava et al. 10.5194/acp-21-14703-2021
- Impacts of ship emissions and sea-land breeze on urban air quality using chemical characterization, source contribution and dispersion model simulation of PM2.5 at Asian seaport Y. Tseng et al. 10.1016/j.envpol.2024.123663
- Annual exposure to polycyclic aromatic hydrocarbons in urban environments linked to wintertime wood-burning episodes I. Tsiodra et al. 10.5194/acp-21-17865-2021
Latest update: 24 Apr 2024
Short summary
Source apportionment of fine aerosols in an urban site of Beijing used a chemical mass balance (CMB) model. Seven primary sources (industrial/residential coal burning, biomass burning, gasoline/diesel vehicles, cooking and vegetative detritus) explained an average of 75.7 % and 56.1 % of fine OC in winter and summer, respectively. CMB was found to resolve more primary OA sources than AMS-PMF, but the latter apportioned more secondary OA sources.
Source apportionment of fine aerosols in an urban site of Beijing used a chemical mass balance...
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