In:
Atmospheric Chemistry and Physics, Copernicus GmbH, Vol. 19, No. 3 ( 2019-02-12), p. 1881-1899
Abstract:
Abstract. Measurements at a background site near Beijing showed that
pollution controls implemented during the 19th National Congress of the
Communist Party of China (NCCPC) were effective in reducing PM2.5. Mass
concentrations of PM2.5 and its major chemical components were
20.6 %–43.1 % lower during the NCCPC-control period compared with a
non-control period, and differences were greater on days with stable
meteorological conditions. A receptor model showed that PM2.5 from
traffic-related emissions, biomass burning, industrial processes, and mineral
dust was 38.5 %–77.8 % lower during the NCCPC-control versus non-control
period, but differences in PM2.5 from coal burning were small, and
secondary sources were higher during the NCCPC-control period. During one pollution
episode in the non-control period, secondary sources dominated, and the
WRF-Chem model showed that the Beijing–Tianjin–Hebei (BTH) region contributed
73.6 % of PM2.5 mass. A second pollution episode was linked to
biomass burning, and BTH contributed 46.9 % of PM2.5 mass.
Calculations based on Interagency Monitoring of Protected Visual Environments (IMPROVE) algorithms showed that organic matter was the
largest contributor to light extinction during the non-control period whereas
NH4NO3 was the main contributor during the NCCPC. The Tropospheric
Ultraviolet and Visible radiation model showed that the average direct
radiative forcing (DRF) values at the Earth's surface were −14.0 and
−19.3 W m−2 during the NCCPC-control and non-control periods,
respectively, and the DRF for the individual PM2.5 components were
22.7 %–46.7 % lower during the NCCPC. The information and dataset
from this study will be useful for developing air pollution control
strategies in the BTH region and for understanding associated aerosol
radiative effects.
Type of Medium:
Online Resource
ISSN:
1680-7324
DOI:
10.5194/acp-19-1881-2019
DOI:
10.5194/acp-19-1881-2019-supplement
Language:
English
Publisher:
Copernicus GmbH
Publication Date:
2019
detail.hit.zdb_id:
2092549-9
detail.hit.zdb_id:
2069847-1
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