Impacts of condensable particulate matter on atmospheric organic aerosols and fine particulate matter (PM2.5) in China
- 1Research Center for Air Pollution and Health; Key Laboratory of Environmental Remediation and Ecological Health, Ministry of Education, College of Environment and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, P.R. China
- 2College of Science and Technology, Hebei Agricultural University, Baoding, Hebei 071000, P.R. China
- 3Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081, China
- 4State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS), Beijing 100029, China
- 5University of Chinese Academy of Sciences, Beijing 100049, China
- 6Center for Excellence in Urban Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China
- 7Chinese Research Academy of Environmental Sciences, Beijing 100012, China
- 8State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
- 9State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
- 10Center for Environmental Measurement and Modeling, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
- 11Institute of Earth Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
- 12Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 29 91125, USA
Abstract. Condensable particulate matter (CPM) emitted from stationary combustion and mobile sources exhibits high emissions and a large proportion of organic components. However, CPM is not generally measured when conducting emission surveys of PM in most countries, including China. Consequently, previous emission inventories have not included emission rates for CPM. Here we construct an emission inventory of CPM in China with a focus on organic aerosols (OA) based on collected CPM emission information. Results show that OA emissions are enhanced twofold after the inclusion of CPM in a new China inventory for the years 2014 and 2017. Considering organic CPM emissions and model representations of secondary OA (SOA) formation from CPM, here a series of sensitivity cases have been simulated using the three-dimensional Community Multiscale Air Quality (CMAQ) model to estimate the contributions of CPM emissions to atmospheric OA and fine PM (PM2.5) concentrations in China. Compared with observations during a haze episode from October 14 to November 14, 2014, at a Beijing site, estimates of temporal average primary OA (POA) and SOA concentrations are greatly improved after including the CPM effects. These scenarios demonstrated the significant contributions of CPM emissions from stationary combustion and mobile sources to POA (53 ~ 86 %), SOA (48 ~ 67 %), and total OA concentrations (50 ~ 78 %). Furthermore, contributions of CPM emissions to total OA concentrations were demonstrated over the major 2+26 cities of Beijing-Tianjin-Hebei region (BTH2+26 cities) in December 2018, with average contributions up to 55 %, 58 %, 60 %, and 57 % for Handan, Shijiazhuang, Xingtai, and Dezhou, respectively. Correspondingly, the inclusion of CPM emissions also narrowed the gap between simulated and observed PM2.5 concentrations over the BTH2+26 cities. These results improve the simulation performance of atmospheric OA and PM2.5, and may provide important implications for the sources of OA.
Mengying Li et al.
Mengying Li et al.
Mengying Li et al.
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