2004
DOI: 10.1016/j.atmosenv.2003.11.017
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Fluorescence spectra of atmospheric aerosol at Adelphi, Maryland, USA: measurement and classification of single particles containing organic carbon

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Cited by 94 publications
(79 citation statements)
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“…Due to the high traffic densities and increased energy usage, Mexico City suffers from high levels of particulate BC pollution. The presence of highly absorbing aerosols in Mexico City has lead to a reduction in solar flux of 17.6% (Raga et al, 2001). The mass of absorbing aerosols exported from the MCMA into the surrounding region is estimated to be 6000 metric tons per day or 2 mega-tons per year (Gaffney et al, 1999).…”
Section: Mexico City Field Studiesmentioning
confidence: 99%
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“…Due to the high traffic densities and increased energy usage, Mexico City suffers from high levels of particulate BC pollution. The presence of highly absorbing aerosols in Mexico City has lead to a reduction in solar flux of 17.6% (Raga et al, 2001). The mass of absorbing aerosols exported from the MCMA into the surrounding region is estimated to be 6000 metric tons per day or 2 mega-tons per year (Gaffney et al, 1999).…”
Section: Mexico City Field Studiesmentioning
confidence: 99%
“…Other light absorbing species are also present in atmospheric aerosols, including polycyclic and heterocyclic aromatic hydrocarbons and their nitrated derivatives (Jacobson, 1999), amino acids such as tryptophan in biological particles (Pinnick et al, 2004), and polycarboxylic acids known as "humic-like" substances (HULIS) (Cappiello et al, 2003). The polycyclic aromatic hydrocarbons (PAHs) are produced along with BC during combustion of fossil fuels and their nitrated derivatives are formed by atmospheric oxidation in the presence of NO 2 .…”
Section: Aerosol Absorptionmentioning
confidence: 99%
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“…Various cluster analysis techniques have previously been used to classify single-particle fluorescence data (Pinnick, 2004;Pan et al, 2007Pan et al, , 2012Pinnick et al, 2013) and mass spectral data (Murphy et al, 2003), as well as back trajectories (Cox et al, 2005;Kalkstein et al, 1987;Robinson et al, 2011). In addition, neural networks have been trained to dynamically classify single-particle mass spectral data (Song et al, 1999).…”
Section: The Wideband Integrated Bioaerosol Sensormentioning
confidence: 99%
“…These detectors can reach close to real-time warning. Multiple excitations (266 and 355 nm) for the detection of bioaerosols have been reported [10] as well as the spectral characteristics of fluorescence from particles excited at 266 nm [11].…”
Section: Introductionmentioning
confidence: 99%