Positive matrix factorization of a 32-month series of daily PM(2.5) speciation data with incorporation of temperature stratification

This study presents source apportionment results for PM(2.5) from applying positive matrix factorization (PMF) to a 32-month series of daily PM(2.5) compositional data from Denver, CO, including concentrations of sulfate, nitrate, bulk elemental carbon (EC) and organic carbon (OC), and 51 organic mo...

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Detalhes bibliográficos
Main Authors: Xie, Mingjie, Piedrahita, Ricardo, Dutton, Steven J., Milford, Jana B., Hemann, Joshua G., Peel, Jennifer L., Miller, Shelly L., Kim, Sun-Young, Vedal, Sverre, Sheppard, Lianne, Hannigan, Michael P.
Formato: Artigo
Idioma:Inglês
Publicado em: 2012
Assuntos:
Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4159165/
https://ncbi.nlm.nih.gov/pubmed/25214809
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.atmosenv.2012.09.034
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