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Analysis of black carbon on filters by image-based reflectance.
- Source :
-
Atmospheric environment (Oxford, England : 1994) [Atmos Environ (1994)] 2020 Feb 15; Vol. 223. Date of Electronic Publication: 2020 Jan 20. - Publication Year :
- 2020
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Abstract
- Black carbon (BC) is an important contributor to global particulate matter emissions. BC is associated with adverse health effects, and an important short-lived climate pollutant. Here, we describe a low cost method of analysis that utilizes images of PTFE filters taken with a digital camera to estimate BC content on filters. This method is compared with two existing optical methods for analyzing BC (Smokestain Reflectance and Hybrid Integrating Plate and Sphere System) as well as the standard chemical analysis method for determining elemental carbon (Thermal-Optical Reflectance). In comparisons of aerosol generated under controlled conditions (using an inverted diffusion flame burner to cover a range of mass loading and reflectance levels) (N=12) and in field samples collected from residential solid fuel combustion in China and India (N=50), the image-based method was found to correlate well (normalized RMSE <10% for all comparisons) with existing methods. A correlational analysis of field samples between the optical methods and Fourier-transform infrared spectroscopy indicated that the same functional groups were predominantly responsible for light attenuation in each optical method. This method offers reduced equipment cost, rapid analysis time, and is available at no cost, which may facilitate more measurement of BC where PM <subscript>2.5</subscript> mass concentrations are already measured, especially in low income countries or other sampling efforts with limited resources.<br />Competing Interests: Declaration of interests The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Details
- Language :
- English
- ISSN :
- 1352-2310
- Volume :
- 223
- Database :
- MEDLINE
- Journal :
- Atmospheric environment (Oxford, England : 1994)
- Publication Type :
- Academic Journal
- Accession number :
- 32095102
- Full Text :
- https://doi.org/10.1016/j.atmosenv.2020.117300