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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33 citations as recorded by crossref.
- Source Contributions of PM2.5in the Severe Haze Episode in Hebei Cities Z. Wei et al. 10.1155/2015/480542
- Fine Particulate Air Pollution from Electricity Generation in the US: Health Impacts by Race, Income, and Geography M. Thind et al. 10.1021/acs.est.9b02527
- Development of PM<sub>2.5</sub> source impact spatial fields using a hybrid source apportionment air quality model C. Ivey et al. 10.5194/gmd-8-2153-2015
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- Inverse Relations of PM2.5 and O3 in Air Compound Pollution between Cold and Hot Seasons over an Urban Area of East China M. Jia et al. 10.3390/atmos8030059
- PM2.5 Source Apportionment Analysis to Investigate Contributions of the Major Source Areas in the Southeastern Region of South Korea H. Ju et al. 10.5572/KOSAE.2018.34.4.517
- Health benefits of reducing NO x emissions in the presence of epidemiological and atmospheric nonlinearities A. Pappin et al. 10.1088/1748-9326/11/6/064015
- Analysis of chemical characteristics of PM2.5 in Beijing over a 1-year period Z. Wang et al. 10.1007/s10874-016-9334-8
- New approach for optimal electricity planning and dispatching with hourly time-scale air quality and health considerations P. Kerl et al. 10.1073/pnas.1413143112
- 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
- Adjoint sensitivity of global cloud droplet number to aerosol and dynamical parameters V. Karydis et al. 10.5194/acp-12-9041-2012
- 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
- Evaluation on Provincial NOX and SO2 Emissions in CAPSS 2016 Based on Photochemical Model Simulation O. Kim et al. 10.5572/KOSAE.2020.36.1.064
- Estimation of Contribution and Emission-to-PM2.5 Conversion Rate by Each Local Government for Policy Support N. Moon et al. 10.5572/KOSAE.2021.37.6.891
- InMAP: A model for air pollution interventions C. Tessum et al. 10.1371/journal.pone.0176131
- Assessments of levels, potential ecological risk, and human health risk of heavy metals in the soils from a typical county in Shanxi Province, China L. Pan et al. 10.1007/s11356-016-7044-z
- Assessing the importance of nonlinearity for aircraft emissions' impact on O3 and PM2.5 C. Arter & S. Arunachalam 10.1016/j.scitotenv.2021.146121
- Ground-level ozone in urban Beijing over a 1-year period: Temporal variations and relationship to atmospheric oxidation Z. Wang et al. 10.1016/j.atmosres.2015.05.005
- Temporal distribution, source apportionment, and pollution assessment of metals in the sediments of Beas river, India V. Kumar et al. 10.1080/10807039.2018.1440529
- Source impact and contribution analysis of ambient ozone using multi-modeling approaches over the Pearl River Delta region, China T. Fang et al. 10.1016/j.envpol.2021.117860
- Global Sensitivity Analysis of the Regional Atmospheric Chemical Mechanism: An Application of Random Sampling-High Dimensional Model Representation to Urban Oxidation Chemistry S. Chen et al. 10.1021/es301565w
- Novel Method for Ozone Isopleth Construction and Diagnosis for the Ozone Control Strategy of Chinese Cities H. Shen et al. 10.1021/acs.est.1c01567
- Fine particulate matter source apportionment using a hybrid chemical transport and receptor model approach Y. Hu et al. 10.5194/acp-14-5415-2014
- A Feasible Methodological Framework for Uncertainty Analysis and Diagnosis of Atmospheric Chemical Transport Models Z. Huang et al. 10.1021/acs.est.8b06326
- Changes in Inorganic Fine Particulate Matter Sensitivities to Precursors Due to Large-Scale US Emissions Reductions J. Holt et al. 10.1021/acs.est.5b00008
- Origin of Fine Particulate Carbon in the Rural United States B. Schichtel et al. 10.1021/acs.est.7b00645
- An evaluation of CMAQ NO2using observed chemistry-meteorology correlations M. Harkey et al. 10.1002/2015JD023316
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- PM2.5 Simulations for the Seoul Metropolitan Area: (II) Estimation of Self-Contributions and Emission-to-PM2.5 Conversion Rates for Each Source Category S. Kim et al. 10.5572/KOSAE.2017.33.4.377
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- Use of high-order sensitivity analysis and reduced-form modeling to quantify uncertainty in particulate matter simulations in the presence of uncertain emissions rates: A case study in Houston W. Zhang et al. 10.1016/j.atmosenv.2015.08.091
1 citations as recorded by crossref.
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