Articles | Volume 16, issue 18
https://doi.org/10.5194/acp-16-11837-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-11837-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 Sep 2016
Research article |
| 23 Sep 2016
Response of winter fine particulate matter concentrations to emission and meteorology changes in North China
Department of Chemical and Biochemical Engineering, University of
Iowa, Iowa City, IA, USA
Center for Global and Regional Environmental Research, University of
Iowa, Iowa City, IA, USA
Gregory R. Carmichael
CORRESPONDING AUTHOR
Department of Chemical and Biochemical Engineering, University of
Iowa, Iowa City, IA, USA
Center for Global and Regional Environmental Research, University of
Iowa, Iowa City, IA, USA
Pablo E. Saide
Center for Global and Regional Environmental Research, University of
Iowa, Iowa City, IA, USA
now at: Atmospheric Chemistry observations and Modeling (ACOM) lab,
National Center for Atmospheric Research (NCAR), Boulder, CO, USA
Zifeng Lu
Energy Systems Division, Argonne National Laboratory, Argonne, IL, USA
Man Yu
Department of Chemical and Biochemical Engineering, University of
Iowa, Iowa City, IA, USA
Center for Global and Regional Environmental Research, University of
Iowa, Iowa City, IA, USA
now at: Mathematics and Computer Science Division,
Argonne National Laboratory, Argonne, IL, USA
David G. Streets
Energy Systems Division, Argonne National Laboratory, Argonne, IL, USA
Zifa Wang
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing, China
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Latest update: 14 Dec 2024
Short summary
The WRF-Chem model was used to examine how the winter PM2.5 concentrations change in response to changes in emissions and meteorology in North China from 1960 to 2010. The discussions in this study indicate that dramatic changes in emissions are the main cause of increasing haze events in North China, and long-term trends in atmospheric circulations maybe another important cause. We also found aerosol feedbacks have been significantly enhanced from 1960 to 2010, due to higher aerosol loadings.
The WRF-Chem model was used to examine how the winter PM2.5 concentrations change in response to...
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