Articles | Volume 9, issue 2
https://doi.org/10.5194/amt-9-441-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-9-441-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Feb 2016
Research article |
| 11 Feb 2016
Predicting ambient aerosol thermal–optical reflectance (TOR) measurements from infrared spectra: extending the predictions to different years and different sites
Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
Ann M. Dillner
University of California, Davis, California, USA
Satoshi Takahama
Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
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14 citations as recorded by crossref.
- Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: systematic intercomparison of calibration methods for US measurement network samples M. Reggente et al. 10.5194/amt-12-2287-2019
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- Atomic spectrometry update – a review of advances in environmental analysis O. Butler et al. 10.1039/C6JA90058E
- Quantifying functional group compositions of household fuel-burning emissions E. Li et al. 10.5194/amt-17-2401-2024
- Long-Term Strategy for Assessing Carbonaceous Particulate Matter Concentrations from Multiple Fourier Transform Infrared (FT-IR) Instruments: Influence of Spectral Dissimilarities on Multivariate Calibration Performance B. Debus et al. 10.1177/0003702818804574
- Quantification of major particulate matter species from a single filter type using infrared spectroscopy – application to a large-scale monitoring network B. Debus et al. 10.5194/amt-15-2685-2022
- Ambient aerosol composition by infrared spectroscopy and partial least squares in the chemical speciation network: Multilevel modeling for elemental carbon A. Weakley et al. 10.1080/02786826.2018.1439571
- Chemical evolution of primary and secondary biomass burning aerosols during daytime and nighttime A. Yazdani et al. 10.5194/acp-23-7461-2023
- Characterization of primary and aged wood burning and coal combustion organic aerosols in an environmental chamber and its implications for atmospheric aerosols A. Yazdani et al. 10.5194/acp-21-10273-2021
- An open platform for Aerosol InfraRed Spectroscopy analysis – AIRSpec M. Reggente et al. 10.5194/amt-12-2313-2019
- Estimating mean molecular weight, carbon number, and OM∕OC with mid-infrared spectroscopy in organic particulate matter samples from a monitoring network A. Yazdani et al. 10.5194/amt-14-4805-2021
- Quantification of amine functional groups and their influence on OM/OC in the IMPROVE network M. Kamruzzaman et al. 10.1016/j.atmosenv.2017.10.053
2 citations as recorded by crossref.
- Thermal/optical reflectance equivalent organic and elemental carbon determined from federal reference and equivalent method fine particulate matter samples using Fourier transform infrared spectrometry A. Weakley et al. 10.1080/02786826.2018.1504161
- Ambient aerosol composition by infrared spectroscopy and partial least-squares in the chemical speciation network: Organic carbon with functional group identification A. Weakley et al. 10.1080/02786826.2016.1217389
Saved (final revised paper)
Latest update: 21 Nov 2024
Short summary
Organic carbon and elemental carbon are major components of atmospheric PM. Typically they are measured using destructive and relatively expensive methods (e.g., TOR). We aim to reduce the operating costs of large air quality monitoring networks using FT-IR spectra of ambient PTFE filters and PLS regression. We achieve accurate predictions for models (calibrated in 2011) that use samples collected at the same or different sites of the calibration data set and in a different year (2013).
Organic carbon and elemental carbon are major components of atmospheric PM. Typically they are...
