Articles | Volume 15, issue 20
https://doi.org/10.5194/acp-15-11667-2015
© 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-15-11667-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Oct 2015
Research article |
| 21 Oct 2015
PM2.5 water-soluble elements in the southeastern United States: automated analytical method development, spatiotemporal distributions, source apportionment, and implications for heath studies
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA
H. Guo
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA
V. Verma
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA
now at: Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Champaign, IL, USA
R. E. Peltier
School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, USA
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA
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Latest update: 23 Nov 2024
Short summary
This work presented a new method of quantifying water-soluble elements in PM2.5 aqueous extracts (N~500) with an X-ray fluorescence analyzer. The results indicate that water-soluble elements had marked spatial and temporal patterns. Four sources were resolved: brake/tire wear, biomass burning, secondary formation, and mineral dust. The findings have informed studies on aerosol oxidative potential and provided insights into the health effects of water-soluble metals, especially Cu, Fe, Mn and Zn.
This work presented a new method of quantifying water-soluble elements in PM2.5 aqueous extracts...
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