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      Changes in Aerosol Chemistry From 2014 to 2016 in Winter in Beijing: Insights From High‐Resolution Aerosol Mass Spectrometry

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          Source apportionment of organic aerosol from 2-year highly time-resolved measurements by an aerosol chemical speciation monitor in Beijing, China

          Abstract. Organic aerosol (OA) represents a large fraction of submicron aerosols in the megacity of Beijing, yet long-term characterization of its sources and variations is very limited. Here we present an analysis of in situ measurements of OA in submicrometer particles with an aerosol chemical speciation monitor (ACSM) for 2 years from July 2011 to May 2013. The sources of OA are analyzed with a multilinear engine (ME-2) by constraining three primary OA factors including fossil-fuel-related OA (FFOA), cooking OA (COA), and biomass burning OA (BBOA). Two secondary OAs (SOA), representing a less oxidized oxygenated OA (LO-OOA) and a more oxidized (MO-OOA), are identified during all seasons. The monthly average concentration OA varied from 13.6 to 46.7  µ g m −3 with a strong seasonal pattern that is usually highest in winter and lowest in summer. FFOA and BBOA show similarly pronounced seasonal variations with much higher concentrations and contributions in winter due to enhanced coal combustion and biomass burning emissions. The contribution of COA to OA, however, is relatively stable (10–15 %) across different seasons, yet presents significantly higher values at low relative humidity levels (RH < 30 %), highlighting the important role of COA during clean periods. The two SOA factors present very different seasonal variations. The pronounced enhancement of LO-OOA concentrations in winter indicates that emissions from combustion-related primary emissions could be a considerable source of SOA under low-temperature ( T ) conditions. Comparatively, MO-OOA shows high concentrations consistently at high RH levels across different T levels, and the contribution of MO-OOA to OA is different seasonally with lower values occurring more in winter (30–34 %) than other seasons (47–64 %). Overall, SOA ( =  LO-OOA  +  MO-OOA) dominates OA composition during all seasons by contributing 52–64 % of the total OA mass in the heating season and 65–75 % in non-heating seasons. The variations in OA composition as a function of OA mass loading further illustrate the dominant role of SOA in OA across different mass loading scenarios during all seasons. However, we also observed a large increase in FFOA associated with a corresponding decrease in MO-OOA during periods with high OA mass loadings in the heating season, illustrating an enhanced role of coal combustion emissions during highly polluted episodes. Potential source contribution function analysis further shows that the transport from the regions located to the south and southwest of Beijing within ∼  250 km can contribute substantially to high FFOA and BBOA concentrations in the heating season.
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            Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change

            Boucher O. (2013)
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              Wintertime photochemistry in Beijing: observations of RO2 radical concentrations in the North China Plain during the BEST-ONE campaign

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                Author and article information

                Contributors
                Journal
                Journal of Geophysical Research: Atmospheres
                J. Geophys. Res. Atmos.
                American Geophysical Union (AGU)
                2169-897X
                2169-8996
                January 27 2019
                January 17 2019
                January 27 2019
                : 124
                : 2
                : 1132-1147
                Affiliations
                [1 ]State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric Physics, Chinese Academy of Sciences Beijing China
                [2 ]College of Earth Sciences University of Chinese Academy of Sciences Beijing China
                [3 ]Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and Technology Nanjing China
                [4 ]Center for Excellence in Regional Atmospheric Environment Institute of Urban Environment, Chinese Academy of Sciences Xiamen China
                [5 ]Nanjing University of Information Science and Technology Nanjing China
                [6 ]Institute of Surface‐Earth System Science Tianjin University Tianjin China
                [7 ]Aerodyne Research Inc. Billerica MA USA
                [8 ]School of Earth and Environmental Sciences University of Manchester Manchester UK
                Article
                10.1029/2018JD029245
                e78271ca-9f03-4a16-9fc5-cff4b6e8ddd2
                © 2019

                http://onlinelibrary.wiley.com/termsAndConditions#vor

                http://doi.wiley.com/10.1002/tdm_license_1.1

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