Articles | Volume 15, issue 9
https://doi.org/10.5194/amt-15-2685-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-2685-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 May 2022
Research article |
| 04 May 2022
| 04 May 2022
Quantification of major particulate matter species from a single filter type using infrared spectroscopy – application to a large-scale monitoring network
Bruno Debus
Air Quality Research Center, University of California, Davis,
Davis, CA 95618, USA
Andrew T. Weakley
Air Quality Research Center, University of California, Davis,
Davis, CA 95618, USA
Satoshi Takahama
ENAC/IIE, Swiss Federal Institute of Technology Lausanne (EPFL),
Lausanne, Switzerland
Kathryn M. George
Air Quality Research Center, University of California, Davis,
Davis, CA 95618, USA
Monitoring and Laboratory Division, California Air Resources Board,
Sacramento, CA 95811, USA
Anahita Amiri-Farahani
Air Quality Research Center, University of California, Davis,
Davis, CA 95618, USA
Bret Schichtel
National Park Service, Cooperative Institute for Research in the
Atmosphere, Colorado State University, Fort Collins, CO 80523, USA
Scott Copeland
Cooperative Institute for Research in the Atmosphere, Colorado
State University, Fort Collins, CO 80523, USA
Anthony S. Wexler
Air Quality Research Center, University of California, Davis,
Davis, CA 95618, USA
Department of Mechanical and Aerospace Engineering, University of California, Davis, Davis, CA 95616, USA
Department of Civil and Environmental Engineering, University of California, Davis, Davis, CA 95616, USA
Department of Land, Air and Water Resources, University of California, Davis, Davis, CA 95616, USA
Ann M. Dillner
CORRESPONDING AUTHOR
Air Quality Research Center, University of California, Davis,
Davis, CA 95618, USA
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Short summary
In the US, routine particulate matter composition is measured on samples collected on three types of filter media and analyzed using several techniques. We propose an alternate approach that uses one analytical technique, Fourier transform-infrared spectroscopy (FT-IR), and one filter type to measure the chemical composition of particulate matter in a major US monitoring network. This method could be used to add low-cost sites to the network, fill-in missing data, or for quality control.
In the US, routine particulate matter composition is measured on samples collected on three...
