Articles | Volume 11, issue 2
https://doi.org/10.5194/amt-11-1049-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-1049-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Improved source apportionment of organic aerosols in complex urban air pollution using the multilinear engine (ME-2)
Qiao Zhu
Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, China
Xiao-Feng Huang
CORRESPONDING AUTHOR
Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, China
Li-Ming Cao
Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, China
Lin-Tong Wei
Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, China
Bin Zhang
Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, China
Ling-Yan He
Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, China
Miriam Elser
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), 5232 Villigen-PSI, Switzerland
Francesco Canonaco
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), 5232 Villigen-PSI, Switzerland
Jay G. Slowik
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), 5232 Villigen-PSI, Switzerland
Carlo Bozzetti
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), 5232 Villigen-PSI, Switzerland
Imad El-Haddad
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), 5232 Villigen-PSI, Switzerland
André S. H. Prévôt
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), 5232 Villigen-PSI, Switzerland
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- Characterization of nighttime formation of particulate organic nitrates based on high-resolution aerosol mass spectrometry in an urban atmosphere in China K. Yu et al. 10.5194/acp-19-5235-2019
- Major source categories of PM2.5 oxidative potential in wintertime Beijing and surroundings based on online dithiothreitol-based field measurements R. Cheung et al. 10.1016/j.scitotenv.2024.172345
- Mass spectral characterization of secondary organic aerosol from urban cooking and vehicular sources W. Zhu et al. 10.5194/acp-21-15065-2021
- Photochemical aging of aerosol particles in different air masses arriving at Baengnyeong Island, Korea E. Kang et al. 10.5194/acp-18-6661-2018
28 citations as recorded by crossref.
- Aqueous aging of secondary organic aerosol coating onto black carbon: Insights from simultaneous L-ToF-AMS and SP-AMS measurements at an urban site in southern China L. Cao et al. 10.1016/j.jclepro.2021.129888
- PM2.5 bound species variation and source characterization in the post-lockdown period of the Covid-19 pandemic in Delhi M. Faisal et al. 10.1016/j.uclim.2022.101290
- Understanding secondary particles in a regional site of Yangtze River Delta: Insights from mass spectrometric measurement W. Zhu et al. 10.1016/j.scitotenv.2024.172994
- Evolution characteristic of atmospheric black carbon particles at a coastal site in the Pearl River Delta, China J. Wei et al. 10.1016/j.envpol.2023.121380
- Critical Role of Simultaneous Reduction of Atmospheric Odd Oxygen for Winter Haze Mitigation X. Huang et al. 10.1021/acs.est.1c03421
- A 1-year aerosol chemical speciation monitor (ACSM) source analysis of organic aerosol particle contributions from anthropogenic sources after long-range transport at the TROPOS research station Melpitz S. Atabakhsh et al. 10.5194/acp-23-6963-2023
- Development and application of a mass closure PM<sub>2.5</sub> composition online monitoring system C. Su et al. 10.5194/amt-13-5407-2020
- A new method for long-term source apportionment with time-dependent factor profiles and uncertainty assessment using SoFi Pro: application to 1 year of organic aerosol data F. Canonaco et al. 10.5194/amt-14-923-2021
- Source apportionment resolved by time of day for improved deconvolution of primary source contributions to air pollution S. Bhandari et al. 10.5194/amt-15-6051-2022
- Source apportionment and impact of long-range transport on carbonaceous aerosol particles in central Germany during HCCT-2010 L. Poulain et al. 10.5194/acp-21-3667-2021
- The Role of Cloud Processing for the Ice Nucleating Ability of Organic Aerosol and Coal Fly Ash Particles K. Kilchhofer et al. 10.1029/2020JD033338
- Contributions of primary sources to submicron organic aerosols in Delhi, India S. Bhandari et al. 10.5194/acp-22-13631-2022
- Long-term source apportionment of PM2.5 across the contiguous United States (2000-2019) using a multilinear engine model Q. Zhu et al. 10.1016/j.jhazmat.2024.134550
- Applications of environmental mass spectrometry in atmospheric haze chemistry T. Chen et al. 10.1016/j.trac.2024.117614
- Characterization of Aerosol Aging Potentials at Suburban Sites in Northern and Southern China Utilizing a Potential Aerosol Mass (Go:PAM) Reactor and an Aerosol Mass Spectrometer J. Li et al. 10.1029/2018JD029904
- Importance of Semivolatile/Intermediate-Volatility Organic Compounds to Secondary Organic Aerosol Formation from Chinese Domestic Cooking Emissions Y. Yu et al. 10.1021/acs.estlett.2c00207
- Real‐Time Characterization of Aerosol Compositions, Sources, and Aging Processes in Guangzhou During PRIDE‐GBA 2018 Campaign W. Chen et al. 10.1029/2021JD035114
- Real-world observations of reduced nitrogen and ultrafine particles in commercial cooking organic aerosol emissions S. Kim et al. 10.5194/acp-24-1281-2024
- Technical note: A new approach to discriminate different black carbon sources by utilising fullerene and metals in positive matrix factorisation analysis of high-resolution soot particle aerosol mass spectrometer data Z. Bibi et al. 10.5194/acp-21-10763-2021
- A novel probabilistic source apportionment approach: Bayesian auto-correlated matrix factorization A. Rusanen et al. 10.5194/amt-17-1251-2024
- Primary emissions versus secondary formation of fine particulate matter in the most polluted city (Shijiazhuang) in North China R. Huang et al. 10.5194/acp-19-2283-2019
- Variation in chemical composition and sources of PM2.5 during the COVID-19 lockdown in Delhi C. Manchanda et al. 10.1016/j.envint.2021.106541
- Online Chemical Characterization and Source Identification of Summer and Winter Aerosols in Măgurele, Romania L. Mărmureanu et al. 10.3390/atmos11040385
- Characterization of submicron aerosol volatility in the regional atmosphere in Southern China L. Cao et al. 10.1016/j.chemosphere.2019.124383
- Characterization of nighttime formation of particulate organic nitrates based on high-resolution aerosol mass spectrometry in an urban atmosphere in China K. Yu et al. 10.5194/acp-19-5235-2019
- Major source categories of PM2.5 oxidative potential in wintertime Beijing and surroundings based on online dithiothreitol-based field measurements R. Cheung et al. 10.1016/j.scitotenv.2024.172345
- Mass spectral characterization of secondary organic aerosol from urban cooking and vehicular sources W. Zhu et al. 10.5194/acp-21-15065-2021
- Photochemical aging of aerosol particles in different air masses arriving at Baengnyeong Island, Korea E. Kang et al. 10.5194/acp-18-6661-2018
Latest update: 20 Nov 2024
Short summary
Organic aerosol constitutes one of the major components of atmospheric particulate matter globally and is emitted from various sources. Therefore, identifying and quantifying the sources of organic aerosol accurately is a key task in the field. In this study, we applied a rather novel procedure for an improved source apportionment method (ME-2) to resolve the
less meaningful or mixed factorsproblems for organic aerosol using the traditional method (PMF).
Organic aerosol constitutes one of the major components of atmospheric particulate matter...