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.
Research article
| 
26 Apr 2017
Research article |
| 26 Apr 2017
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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- Development of land use regression models for PM2.5, SO2, NO2 and O3 in Nanjing, China L. Huang et al. 10.1016/j.envres.2017.07.010
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- Modeling expected air quality impacts of Oregon's proposed expanded clean fuels program Y. Li et al. 10.1016/j.atmosenv.2023.119582
- Long-term particulate matter modeling for health effect studies in California – Part 1: Model performance on temporal and spatial variations J. Hu et al. 10.5194/acp-15-3445-2015
25 citations as recorded by crossref.
- Source apportionment of secondary organic aerosol in China using a regional source-oriented chemical transport model and two emission inventories P. Wang et al. 10.1016/j.envpol.2017.10.122
- Using Chemical Transport Model Predictions To Improve Exposure Assessment of PM2.5 Constituents J. Hu et al. 10.1021/acs.estlett.9b00396
- Insights into cooking sources in the context of sustainable development goals J. Li 10.1016/j.spc.2020.12.017
- Modeling Atmospheric Age Distribution of Elemental Carbon Using a Regional Age-Resolved Particle Representation Framework H. Zhang et al. 10.1021/acs.est.8b05895
- Regional sources of airborne ultrafine particle number and mass concentrations in California X. Yu et al. 10.5194/acp-19-14677-2019
- Carbonaceous aerosol in ambient air: Parallel measurements between water cyclone and carbon analyzer M. Bae et al. 10.1016/j.partic.2018.09.001
- Quantifying the impacts of inter-city transport on air quality in the Yangtze River Delta urban agglomeration, China: Implications for regional cooperative controls of PM2.5 and O3 K. Gong et al. 10.1016/j.scitotenv.2021.146619
- Emissions and radiative impacts of sub-10 nm particles from biofuel and fossil fuel cookstoves S. Jathar et al. 10.1080/02786826.2020.1769837
- 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
- Application of factor and cluster analyses to determine source–receptor relationships of industrial volatile organic odor species in a dual-optical sensing system J. Yang et al. 10.5194/amt-12-5347-2019
- Research on the effects of diesel engine exhaust transport distance on particulate microstructure Y. Zhao et al. 10.1007/s11356-020-10529-1
- WITHDRAWN: Insights into the source contributions to the elevated fine particulate matter in Nigeria using a source-oriented chemical transport model I. Sulaymon et al. 10.1016/j.chemosphere.2024.141548
- Air quality and public health effects of dairy digesters in California J. Jiang et al. 10.1016/j.atmosenv.2024.120588
- 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
- Development of land use regression models for PM2.5, SO2, NO2 and O3 in Nanjing, China L. Huang et al. 10.1016/j.envres.2017.07.010
- Impacts of model resolution on predictions of air quality and associated health exposure in Nanjing, China T. Liu et al. 10.1016/j.chemosphere.2020.126515
- 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: 22 Feb 2025
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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