Articles | Volume 15, issue 6
https://doi.org/10.5194/acp-15-3445-2015
© Author(s) 2015. 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-15-3445-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
30 Mar 2015
Research article |
| 30 Mar 2015
Long-term particulate matter modeling for health effect studies in California – Part 1: Model performance on temporal and spatial variations
J. Hu
Department of Civil and Environmental Engineering, University of California, Davis, One Shields Avenue, Davis, CA, USA
Department of Civil and Environmental Engineering, University of California, Davis, One Shields Avenue, Davis, CA, USA
Q. Ying
Zachry Department of Civil Engineering, Texas A{&}M University, College Station, TX, USA
S.-H. Chen
Department of Land, Air, and Water Resources, University of California, Davis, One Shields Avenue, Davis, CA, USA
F. Vandenberghe
Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
M. J. Kleeman
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, University of California, Davis, One Shields Avenue, Davis, CA, USA
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50 citations as recorded by crossref.
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- Twelve-Year Trends of PM10and Visibility in the Hefei Metropolitan Area of China L. Huang et al. 10.1155/2016/4810796
- 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
- Pregnancy exposure to PM2.5 from wildland fire smoke and preterm birth in California S. Picciotto et al. 10.1016/j.envint.2024.108583
- Premature Mortality Associated with Exposure to Outdoor Black Carbon and Its Source Contributions in China Y. Wang et al. 10.1016/j.resconrec.2021.105620
- Associations of Mortality with Long-Term Exposures to Fine and Ultrafine Particles, Species and Sources: Results from the California Teachers Study Cohort B. Ostro et al. 10.1289/ehp.1408565
- Fine-Scale Air Pollution Models for Epidemiologic Research: Insights From Approaches Developed in the Multi-ethnic Study of Atherosclerosis and Air Pollution (MESA Air) K. Kirwa et al. 10.1007/s40572-021-00310-y
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- Regional transport dominates air pollution events in all seasons in Beijing in 2020 Z. Zhang et al. 10.1016/j.atmosenv.2024.120395
- Maternal exposure to aircraft emitted ultrafine particles during pregnancy and likelihood of ASD in children S. Carter et al. 10.1016/j.envint.2023.108061
- Combining Land-Use Regression and Chemical Transport Modeling in a Spatiotemporal Geostatistical Model for Ozone and PM2.5 M. Wang et al. 10.1021/acs.est.5b06001
- Pre-pregnancy ozone and ultrafine particulate matter exposure during second year of life associated with decreased cognitive and adaptive functioning at aged 2–5 years A. Goodrich et al. 10.1016/j.envres.2024.118854
- Evolution of atmospheric age of particles and its implications for the formation of a severe haze event in eastern China X. Xie et al. 10.5194/acp-23-10563-2023
- Spatiotemporal variation in the impact of meteorological conditions on PM2.5 pollution in China from 2000 to 2017 Y. Xu et al. 10.1016/j.atmosenv.2019.117215
- Major Source Contributions to Ambient PM2.5 and Exposures within the New South Wales Greater Metropolitan Region L. Chang et al. 10.3390/atmos10030138
- Cross-comparison and evaluation of air pollution field estimation methods H. Yu et al. 10.1016/j.atmosenv.2018.01.045
- Association Between Air Pollution Exposure, Cognitive and Adaptive Function, and ASD Severity Among Children with Autism Spectrum Disorder T. Kerin et al. 10.1007/s10803-017-3304-0
- Three-year, 5 km resolution China PM 2.5 simulation: Model performance evaluation Y. Wang et al. 10.1016/j.atmosres.2018.02.016
- Exposure to Source-Specific Particulate Matter and Health Effects: a Review of Epidemiological Studies J. Xu et al. 10.1007/s40726-022-00235-6
- Low-carbon energy generates public health savings in California C. Zapata et al. 10.5194/acp-18-4817-2018
- A Statewide Nested Case–Control Study of Preterm Birth and Air Pollution by Source and Composition: California, 2001–2008 O. Laurent et al. 10.1289/ehp.1510133
- Wintertime water‐soluble aerosol composition and particle water content in Fresno, California C. Parworth et al. 10.1002/2016JD026173
- Acute and chronic health impacts of PM2.5 in China and the influence of interannual meteorological variability Y. Wang et al. 10.1016/j.atmosenv.2020.117397
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- Using Chemical Transport Model Predictions To Improve Exposure Assessment of PM2.5 Constituents J. Hu et al. 10.1021/acs.estlett.9b00396
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- A meteorologically adjusted ensemble Kalman filter approach for inversing daily emissions: A case study in the Pearl River Delta, China G. Jia et al. 10.1016/j.jes.2021.08.048
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Latest update: 13 Dec 2024
Short summary
Air quality model simulations have been conducted for California from 2000 to 2009 with 4km spatial resolution to provide exposure data for health effect studies. Comprehensive analysis shows that predicted concentrations for many pollutants are in agreement with measurements at monitoring stations, building confidence that the fields may be useful at times and locations where measurements are not available. Data can be downloaded for free at http://faculty.engineering.ucdavis.edu/kleeman/.
Air quality model simulations have been conducted for California from 2000 to 2009 with 4km...
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