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Xie, M., Barsanti, K. C., Hannigan, M. P., Dutton, S. J., Vedal, S. (2013) Positive matrix factorization of PM2.5 – eliminating the effects of gas/particle partitioning of semivolatile organic compounds. Atmospheric Chemistry and Physics Discussions, 13 (2). 5199-5232 doi:10.5194/acpd-13-5199-2013

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Reference TypeJournal (article/letter/editorial)
TitlePositive matrix factorization of PM2.5 – eliminating the effects of gas/particle partitioning of semivolatile organic compounds
JournalAtmospheric Chemistry and Physics Discussions
AuthorsXie, M.Author
Barsanti, K. C.Author
Hannigan, M. P.Author
Dutton, S. J.Author
Vedal, S.Author
Year2013 (February 22)Volume13
Issue2
PublisherCopernicus GmbH
DOIdoi:10.5194/acpd-13-5199-2013Search in ResearchGate
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Mindat Ref. ID8984950Long-form Identifiermindat:1:5:8984950:5
GUID0
Full ReferenceXie, M., Barsanti, K. C., Hannigan, M. P., Dutton, S. J., Vedal, S. (2013) Positive matrix factorization of PM2.5 – eliminating the effects of gas/particle partitioning of semivolatile organic compounds. Atmospheric Chemistry and Physics Discussions, 13 (2). 5199-5232 doi:10.5194/acpd-13-5199-2013
Plain TextXie, M., Barsanti, K. C., Hannigan, M. P., Dutton, S. J., Vedal, S. (2013) Positive matrix factorization of PM2.5 – eliminating the effects of gas/particle partitioning of semivolatile organic compounds. Atmospheric Chemistry and Physics Discussions, 13 (2). 5199-5232 doi:10.5194/acpd-13-5199-2013
In(2013, February) Atmospheric Chemistry and Physics Discussions Vol. 13 (2) Copernicus GmbH

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Xie, M., Barsanti, K. C., Hannigan, M. P., Dutton, S. J., Vedal, S. (2013) Positive matrix factorization of PM2.5 – eliminating the effects of gas/particle partitioning of semivolatile organic compounds. Atmospheric Chemistry and Physics, 13 (15). 7381-7393 doi:10.5194/acp-13-7381-2013
Xie, Mingjie, Hannigan, Michael P., Barsanti, Kelley C. (2014) Impact of Gas/Particle Partitioning of Semivolatile Organic Compounds on Source Apportionment with Positive Matrix Factorization. Environmental Science & Technology, 48 (16). 9053-9060 doi:10.1021/es5022262
Carlton, A. G., Turpin, B. J. (2013) Particle partitioning potential of organic compounds is highest in the Eastern US and driven by anthropogenic water. Atmospheric Chemistry and Physics Discussions, 13 (5). 12743-12770 doi:10.5194/acpd-13-12743-2013
Hemann, J. G., Brinkman, G. L., Dutton, S. J., Hannigan, M. P., Milford, J. B., Miller, S. L. (2008) Assessing positive matrix factorization model fit: a new method to estimate uncertainty and bias in factor contributions at the daily time scale. Atmospheric Chemistry and Physics Discussions, 8 (1). 2977-3026 doi:10.5194/acpd-8-2977-2008
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Dutton, Steven J., Vedal, Sverre, Piedrahita, Ricardo, Milford, Jana B., Miller, Shelly L., Hannigan, Michael P. (2010) Source apportionment using positive matrix factorization on daily measurements of inorganic and organic speciated PM2.5. Atmospheric Environment, 44 (23). 2731-2741 doi:10.1016/j.atmosenv.2010.04.038
Barsanti, K. C., Carlton, A. G., Chung, S. H. (2013) Analyzing experimental data and model parameters: implications for predictions of SOA using chemical transport models. Atmospheric Chemistry and Physics Discussions, 13 (6). 15907-15947 doi:10.5194/acpd-13-15907-2013
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