Estimating mean molecular weight, carbon number, and OM∕OC with mid-infrared spectroscopy in organic particulate matter samples from a monitoring network
<p>Organic matter (OM) is a major constituent of fine particulate matter, which contributes significantly to degradation of visibility and radiative forcing, and causes adverse health effects. However, due to its sheer compositional complexity, OM is difficult to characterize in its entirety....
Main Authors: | A. Yazdani, A. M. Dillner, S. Takahama |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2021-07-01
|
Series: | Atmospheric Measurement Techniques |
Online Access: | https://amt.copernicus.org/articles/14/4805/2021/amt-14-4805-2021.pdf |
Similar Items
-
Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: systematic intercomparison of calibration methods for US measurement network samples
by: M. Reggente, et al.
Published: (2019-04-01) -
Analysis of functional groups in atmospheric aerosols by infrared
spectroscopy: sparse methods for statistical selection of relevant absorption bands
by: S. Takahama, et al.
Published: (2016-07-01) -
Atmospheric particulate matter characterization by Fourier transform infrared spectroscopy: a review of statistical calibration strategies for carbonaceous aerosol quantification in US measurement networks
by: S. Takahama, et al.
Published: (2019-01-01) -
Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: method development for probabilistic modeling of organic carbon and organic matter concentrations
by: C. Bürki, et al.
Published: (2020-03-01) -
Mid-Infrared Spectroscopy Supports Identification of the Origin of Organic Matter in Soils
by: Michał Dudek, et al.
Published: (2021-02-01)