Sources of organic aerosols in eastern China: a modeling study with high-resolution intermediate-volatility and semivolatile organic compound emissions
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Published:2023-01-10
Issue:1
Volume:23
Page:323-344
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
An Jingyu, Huang ChengORCID, Huang Dandan, Qin MomeiORCID, Liu HuanORCID, Yan Rusha, Qiao Liping, Zhou Min, Li Yingjie, Zhu Shuhui, Wang Qian, Wang Hongli
Abstract
Abstract. Current chemical transport models fail to reproduce both
the concentrations and temporal variations of organic aerosol (OA),
especially the secondary organic aerosol (SOA), hindering the identification
of major contribution sources. The fact that precursors of
intermediate-volatility and semivolatile organic compounds (I/SVOCs) are
not included in models has a significant impact on the performance of SOA
simulation. Herein, we establish a high-resolution emission inventory of
I/SVOCs and by incorporating it into the CMAQ model, concentrations,
temporal variations, and spatial distributions of POA and SOA originating
from different sources in the Yangtze River Delta (YRD) region of China were
simulated. By incorporating I/SVOC emissions into the model, the modeled
average SOA concentrations in the region increased by 148 %. Significant
model improvements in the simulations of different OA components were
demonstrated by comparison with comprehensive observation data.
Furthermore, spatial and seasonal variations of different source
contributions to OA production have been identified. We found that cooking emissions
are predominant sources of POA in the densely populated urban area of the
region. I/SVOC emissions from industrial sources are dominant contributors
to the SOA formation, followed by those from mobile sources. Our results
indicate that future control measures should be specifically tailored on
an intraregional scale based on the different source characteristics to achieve
the national goal of continuous improvement in air quality. In addition,
local source profiles and emission factors of I/SVOCs, as well as SOA
formation mechanisms in the model framework must urgently be updated to
further improve the model performance and thus the accuracy of source
identifications.
Funder
National Natural Science Foundation of China Shanghai Municipal Education Commission State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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