Articles | Volume 17, issue 8
https://doi.org/10.5194/acp-17-5379-2017
© Author(s) 2017. 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-17-5379-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Long-term particulate matter modeling for health effect studies in California – Part 2: Concentrations and sources of ultrafine organic aerosols
Jianlin Hu
CORRESPONDING AUTHOR
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control,
Jiangsu Engineering Technology Research Center of Environmental Cleaning Materials, Collaborative
Innovation Center of Atmospheric Environment and Equipment Technology, School
of Environmental Science and Engineering, Nanjing University of Information
Science and Technology, 219 Ningliu Road, Nanjing 210044, China
Shantanu Jathar
Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
Hongliang Zhang
Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA, USA
Qi Ying
Zachry Department of Civil Engineering, Texas A&M University, College Station, TX, USA
Shu-Hua Chen
Department of Land, Air, and Water Resources, University of California, Davis, One Shields Avenue, Davis, CA, USA
Christopher D. Cappa
Department of Civil and Environmental Engineering, University of California, Davis, One Shields Avenue, Davis, CA, USA
Michael J. Kleeman
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, University of California, Davis, One Shields Avenue, Davis, CA, USA
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- Recognizing Women Leaders in Fire Science: Revisited A. Smith & E. Strand 10.3390/fire1030045
- Air Pollution Monitoring for Health Research and Patient Care. An Official American Thoracic Society Workshop Report K. Cromar et al. 10.1513/AnnalsATS.201906-477ST
- Statistical Approaches for Forecasting Primary Air Pollutants: A Review K. Liao et al. 10.3390/atmos12060686
- Carbonaceous aerosols emission reduction by using red mud additive in coal briquette Y. Zhang et al. 10.1016/j.fuproc.2019.106290
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- Improving spatial surrogates for area source emissions inventories in California Y. Li et al. 10.1016/j.atmosenv.2020.117665
- Abundance and 14C-based source assessment of carbonaceous materials in PM2.5 aerosols in Guangzhou, South China J. Song et al. 10.1016/j.apr.2018.09.003
- Simulated sensitivity of secondary organic aerosol in the South Coast Air Basin of California to nitrogen oxides and other chemical parameters R. Griffin et al. 10.1080/02786826.2018.1446507
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- Ensemble prediction of air quality using the WRF/CMAQ model system for health effect studies in China J. Hu et al. 10.5194/acp-17-13103-2017
- Fireworks induced quasi-ultrafine particle number concentration and size-resolved elemental distribution in megacity Delhi S. Yadav et al. 10.1007/s12517-021-09385-1
- Adoption of low-carbon fuels reduces race/ethnicity disparities in air pollution exposure in California Y. Li et al. 10.1016/j.scitotenv.2022.155230
- Modeling expected air quality impacts of Oregon's proposed expanded clean fuels program Y. Li et al. 10.1016/j.atmosenv.2023.119582
Latest update: 20 Nov 2024
Short summary
Organic aerosol is a major constituent of ultrafine particulate matter (PM0.1). In this study, a source-oriented air quality model was used to simulate the concentrations and sources of primary and secondary organic aerosols in PM0.1 in California for a 9-year modeling period to provide useful information for epidemiological studies to further investigate the associations with health outcomes.
Organic aerosol is a major constituent of ultrafine particulate matter (PM0.1). In this study, a...
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