Articles | Volume 5, issue 2
https://doi.org/10.5194/gmd-5-355-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-5-355-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
23 Mar 2012
Development and technical paper |
| 23 Mar 2012
Development of the high-order decoupled direct method in three dimensions for particulate matter: enabling advanced sensitivity analysis in air quality models
W. Zhang
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA
S. L. Capps
School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
Y. Hu
School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
A. Nenes
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA
School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
S. L. Napelenok
US Environment Protection Agency, Research Triangle Park, North Carolina, USA
A. G. Russell
School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
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41 citations as recorded by crossref.
- Source Contributions of PM2.5 in the Severe Haze Episode in Hebei Cities Z. Wei et al. 10.1155/2015/480542
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- Exploring the heavy air pollution in Beijing in the fourth quarter of 2015: assessment of environmental benefits for red alerts T. Nie et al. 10.1007/s11707-017-0673-9
- WITHDRAWN: The chemical and physical processes of ambient ozone simulated by a photochemical air quality modeling system in urban and rural areas in the Pearl River Delta region, China X. Hou et al. 10.1016/j.apr.2018.06.010
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- Examining single-source secondary impacts estimated from brute-force, decoupled direct method, and advanced plume treatment approaches J. Kelly et al. 10.1016/j.atmosenv.2015.04.004
- Ecological risk source distribution, uncertainty analysis, and application of geographically weighted regression cokriging for prediction of potentially toxic elements in agricultural soils P. Agyeman et al. 10.1016/j.psep.2022.06.051
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