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Intercomparison of photoacoustic and thermal-optical methods for the measurement of atmospheric elemental carbon
Institution:1. Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Rochester, MN, USA;2. Division of Engineering, Mayo Clinic, Rochester, MN, USA;3. Department of Radiology, Mayo Clinic, Rochester, MN, USA;1. Physics Department and Atmospheric Sciences Program, Michigan Technological University, Houghton, MI, United States;2. Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, United States;3. University of Trento, Trento, Italy;4. DNV GL, Høvik, Norway;5. Earth System Observations, Los Alamos National Laboratory, Los Alamos, NM, United States;1. Institute of Environmental Engineering, Polish Academy of Sciences, 34 M. Skłodowska-Curie St, 41-819 Zabrze, Poland;2. Division of Meteorology and Climatology, Faculty of Civil and Environmental Engineering, Warsaw University of Life Sciences, 166 Nowoursynowska St., 02-776 Warsaw, Poland
Abstract:Two atmospheric elemental carbon measurement methods based on different analytical principles have been compared using data collected during the summer of 1987 at the Claremont, California site of the Southern California Air Quality Study (SCAQS). An optical absorption method, photoacoustic spectroscopy, measured the visible light absorption (γ = 514.5 nm) of atmospheric elemental carbon in its natural aerosol-state in real time. Elemental carbon concentrations were obtained by applying the appropriate value of the absorption cross-section for elemental carbon to the optical absorption data. The other method was a thermal-optical technique, which measures elemental and organic carbon concentrations on a filte--collected sample by combustion and corrects for the pyrolytic conversion of organic to elemental carbon by measuring the transmittance of laser light through the sample. Aerosol was collected on a filter mounted inside the carbon analyzer and analyzed in place. A 2-h collection and analysis cycle was used. The real-time photoacoustic data integrated over ∼100 min were compared with thermal-optical data. The two methods compare quite well. The linear least squares fit gave a correlation coefficient of R=0.905, and no significant difference was seen between the two data sets at the 95% confidence level.
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