Articles | Volume 12, issue 1
https://doi.org/10.5194/amt-12-525-2019
https://doi.org/10.5194/amt-12-525-2019
Review article
 | 
28 Jan 2019
Review article |  | 28 Jan 2019

Atmospheric particulate matter characterization by Fourier transform infrared spectroscopy: a review of statistical calibration strategies for carbonaceous aerosol quantification in US measurement networks

Satoshi Takahama, Ann M. Dillner, Andrew T. Weakley, Matteo Reggente, Charlotte Bürki, Mária Lbadaoui-Darvas, Bruno Debus, Adele Kuzmiakova, and Anthony S. Wexler

Viewed

Total article views: 3,695 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,195 1,412 88 3,695 67 68
  • HTML: 2,195
  • PDF: 1,412
  • XML: 88
  • Total: 3,695
  • BibTeX: 67
  • EndNote: 68
Views and downloads (calculated since 23 Jul 2018)
Cumulative views and downloads (calculated since 23 Jul 2018)

Viewed (geographical distribution)

Total article views: 3,695 (including HTML, PDF, and XML) Thereof 3,363 with geography defined and 332 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 2024
Download
Short summary
Mid-infrared spectra of particulate matter (PM) samples are complex but chemically informative and present an opportunity for cost-effective measurement of PM provided that quantitative calibration models can be built. We review an emerging strategy for building statistical calibration models using collocated measurements, interpreting the physical bases for such models and evaluating the suitability of existing calibration models to new samples.