Articles | Volume 8, issue 3
Atmos. Meas. Tech., 8, 1097–1109, 2015
https://doi.org/10.5194/amt-8-1097-2015
Atmos. Meas. Tech., 8, 1097–1109, 2015
https://doi.org/10.5194/amt-8-1097-2015

Research article 05 Mar 2015

Research article | 05 Mar 2015

Predicting ambient aerosol thermal-optical reflectance (TOR) measurements from infrared spectra: organic carbon

A. M. Dillner and S. Takahama

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Cited articles

Allen, D. T., Palen, E. J., Haimov, M. I., Hering, S. V., and Young, J. R.: Fourier-transform infrared-spectroscopy of aerosol collected in a low-pressure impactor (LPI/FTIR) – method development and field calibration, Aerosol Sci. Technol., 21, 325–342, https://doi.org/10.1080/02786829408959719, 1994.
Anderson, J. O., Thundiyil, J. G., and Stolbach, A.: Clearing the Air: A Review of the Effects of Particulate Matter Air Pollution on Human Health, Journal of Medical Toxicology, 8, 166–175, https://doi.org/10.1007/s13181-011-0203-1, 2012.
Arlot, S. and Celisse, A.: A survey of cross-validation procedures for model selection, Statistics Surveys, 4, 40–79, 2010.
Bahadur, R., Uplinger, T., Russell, L. M., Sive, B. C., Cliff, S. S., Millet, D. B., Goldstein, A., and Bates, T. S.: Phenol Groups in Northeastern US Submicrometer Aerosol Particles Produced from Seawater Sources, Environ. Sci. Technol., 44, 2542–2548, https://doi.org/10.1021/es9032277, 2010.
Birch, M. E. and Cary, R. A.: Elemental carbon-based method for occupational monitoring of particulate diesel exhaust: Methodology and exposure issues, Analyst, 121, 1183–1190, https://doi.org/10.1039/an9962101183, 1996.
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We demonstrate the feasibility of using FT-IR spectra of aerosols and a multivariate calibration to estimate organic carbon (OC) from thermal-optical reflectance analysis. Using 800 IMPROVE samples, we establish that prediction error can be explained by differences in distributions of OC and aerosol composition between calibration and test set. This work is an initial step in proposing a non-destructive analysis method that can reduce the operating costs of large air quality monitoring networks.