Quantification of major particulate matter species from a single filter type using infrared spectroscopy – application to a large-scale monitoring network

Debus, Bruno; Weakley, Andrew T.; Takahama, Satoshi; George, Kathryn M.; Amiri-Farahani, Anahita; Schichtel, Bret; Copeland, Scott; Wexler, Anthony S.; Dillner, Ann M.

doi:https://doi.org/10.5194/amt-15-2685-2022

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.

https://doi.org/10.5194/amt-15-2685-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 9

Research article

|

04 May 2022

Research article |

| 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, Andrew T. Weakley, Satoshi Takahama, Kathryn M. George, Anahita Amiri-Farahani, Bret Schichtel, Scott Copeland, Anthony S. Wexler, and Ann M. Dillner

Supplement

https://doi.org/10.5194/amt-15-2685-2022-supplement

Data sets

Data from "Quantification of major particulate matter species from a single filter type using infrared spectroscopy – Application to a large-scale monitoring network" Ann M. Dillner, Bruno Debus, Andrew T. Weakley, Satoshi Takahama, Kathryn M. George, Bret Schichtel, Scott Copeland, and Anthony S. Wexler https://doi.org/10.25338/B8TP8V

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.