Articles | Volume 14, issue 11
https://doi.org/10.5194/acp-14-5415-2014
https://doi.org/10.5194/acp-14-5415-2014
Research article
 | 
04 Jun 2014
Research article |  | 04 Jun 2014

Fine particulate matter source apportionment using a hybrid chemical transport and receptor model approach

Y. Hu, S. Balachandran, J. E. Pachon, J. Baek, C. Ivey, H. Holmes, M. T. Odman, J. A. Mulholland, and A. G. Russell

Related authors

FastCTM (v1.0): Atmospheric chemical transport modelling with a principle-informed neural network for air quality simulations
Baolei Lyu, Ran Huang, Xinlu Wang, Weiguo Wang, and Yongtao Hu
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-198,https://doi.org/10.5194/gmd-2024-198, 2024
Revised manuscript accepted for GMD
Short summary
Deep-learning spatial principles from deterministic chemical transport models for chemical reanalysis: an application in China for PM2.5
Baolei Lyu, Ran Huang, Xinlu Wang, Weiguo Wang, and Yongtao Hu
Geosci. Model Dev., 15, 1583–1594, https://doi.org/10.5194/gmd-15-1583-2022,https://doi.org/10.5194/gmd-15-1583-2022, 2022
Short summary
Evaluation of Anthropogenic Emissions and Ozone Pollution in the North China Plain: Insights from the Air Chemistry Research in Asia (ARIAs) Campaign
Hao He, Xinrong Ren, Sarah E. Benish, Zhanqing Li, Fei Wang, Yuying Wang, Timothy P. Canty, Xiaobo Dong, Feng Lv, Yongtao Hu, Tong Zhu, and Russell R. Dickerson
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-248,https://doi.org/10.5194/acp-2019-248, 2019
Revised manuscript not accepted
Short summary
Development of PM2.5 source impact spatial fields using a hybrid source apportionment air quality model
C. E. Ivey, H. A. Holmes, Y. T. Hu, J. A. Mulholland, and A. G. Russell
Geosci. Model Dev., 8, 2153–2165, https://doi.org/10.5194/gmd-8-2153-2015,https://doi.org/10.5194/gmd-8-2153-2015, 2015
Short summary
Downscaling a global climate model to simulate climate change over the US and the implication on regional and urban air quality
M. Trail, A. P. Tsimpidi, P. Liu, K. Tsigaridis, Y. Hu, A. Nenes, and A. G. Russell
Geosci. Model Dev., 6, 1429–1445, https://doi.org/10.5194/gmd-6-1429-2013,https://doi.org/10.5194/gmd-6-1429-2013, 2013

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Atmospheric fate of organosulfates through gas-phase and aqueous-phase reactions with hydroxyl radicals: implications for inorganic sulfate formation
Narcisse Tsona Tchinda, Xiaofan Lv, Stanley Numbonui Tasheh, Julius Numbonui Ghogomu, and Lin Du
Atmos. Chem. Phys., 25, 8575–8590, https://doi.org/10.5194/acp-25-8575-2025,https://doi.org/10.5194/acp-25-8575-2025, 2025
Short summary
Opinion: The role of AerChemMIP in advancing climate and air quality research
Paul T. Griffiths, Laura J. Wilcox, Robert J. Allen, Vaishali Naik, Fiona M. O'Connor, Michael Prather, Alex Archibald, Florence Brown, Makoto Deushi, William Collins, Stephanie Fiedler, Naga Oshima, Lee T. Murray, Bjørn H. Samset, Chris Smith, Steven Turnock, Duncan Watson-Parris, and Paul J. Young
Atmos. Chem. Phys., 25, 8289–8328, https://doi.org/10.5194/acp-25-8289-2025,https://doi.org/10.5194/acp-25-8289-2025, 2025
Short summary
Uncertainties in the effects of organic aerosol coatings on polycyclic aromatic hydrocarbon concentrations and their estimated health effects
Sijia Lou, Manish Shrivastava, Alexandre Albinet, Sophie Tomaz, Deepchandra Srivastava, Olivier Favez, Huizhong Shen, and Aijun Ding
Atmos. Chem. Phys., 25, 8163–8183, https://doi.org/10.5194/acp-25-8163-2025,https://doi.org/10.5194/acp-25-8163-2025, 2025
Short summary
Source-explicit estimation of brown carbon in the polluted atmosphere over the North China Plain: implications for distribution, absorption, and the direct radiative effect
Jiamao Zhou, Jiarui Wu, Xiaoli Su, Ruonan Wang, Imad EI Haddad, Xia Li, Qian Jiang, Ting Zhang, Wenting Dai, Junji Cao, Andre S. H. Prevot, Xuexi Tie, and Guohui Li
Atmos. Chem. Phys., 25, 7563–7580, https://doi.org/10.5194/acp-25-7563-2025,https://doi.org/10.5194/acp-25-7563-2025, 2025
Short summary
Implications of reduced-complexity aerosol thermodynamics on organic aerosol mass concentration and composition over North America
Camilo Serrano Damha, Kyle Gorkowski, and Andreas Zuend
Atmos. Chem. Phys., 25, 5773–5792, https://doi.org/10.5194/acp-25-5773-2025,https://doi.org/10.5194/acp-25-5773-2025, 2025
Short summary

Cited articles

Appel, K. W., Bhave, P. V., Gilliland, A. B., Sarwar, G., and Roselle, S. J.: Evaluation of the community multiscale air quality (CMAQ) model version 4.5: Sensitivities impacting model performance; Part II – particulate matter, Atmos. Environ., 42, 6057–6066, 2008.
Appel, K. W., Pouliot, G. A., Simon, H., Sarwar, G., Pye, H. O. T., Napelenok, S. L., Akhtar, F., and Roselle, S. J.: Evaluation of dust and trace metal estimates from the Community Multiscale Air Quality (CMAQ) model version 5.0, Geosci. Model Dev., 6, 883–899, https://doi.org/10.5194/gmd-6-883-2013, 2013.
Baek, J.: Improving aerosol simulations: Assessing and improving emissions and secondary organic aerosol formation in air quality modeling, 140 pp., Georgia Institute of Tecnology, Atlanta, GA, Ph.D. Dissertation, 2009.
Balachandran, S., Pachon, J. E., Hu, Y., Lee, D., Mulholland, J. A., and Russell, A. G.: Ensemble-trained source apportionment of fine particulate matter and method uncertainty analysis, Atmos. Environ., 61, 387–394, 2012.
Binkowski, F. S. and Roselle, S. J.: Models-3 Community Multi-scale Air Quality (CMAQ) model aerosol component: 1. Model description, J. Geophys. Res., 108, 4183, https://doi.org/10.1029/2001JD001409, 2003.
Download
Share
Altmetrics
Final-revised paper
Preprint