| Autor: |
Olson DA; Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, North Carolina 27711, United States., Offenberg JH; Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, North Carolina 27711, United States., Lewandowski M; Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, North Carolina 27711, United States., Kleindienst TE; Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, North Carolina 27711, United States., Docherty KS; Jacobs Technology, Inc., Research Triangle Park, North Carolina 27709, United States., Jaoui M; Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, North Carolina 27711, United States., Krug J; Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, North Carolina 27711, United States., Riedel TP; Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, North Carolina 27711, United States. |
| Abstrakt: |
This research used data mining approaches to better understand factors affecting the formation of secondary organic aerosol (SOA). Although numerous laboratory and computational studies have been completed on SOA formation, it is still challenging to determine factors that most influence SOA formation. Experimental data were based on previous work described by Offenberg et al. (2017), where volume concentrations of SOA were measured in 139 laboratory experiments involving the oxidation of single hydrocarbons under different operating conditions. Three different data mining methods were used, including nearest neighbor, decision tree, and pattern mining. Both decision tree and pattern mining approaches identified similar chemical and experimental conditions that were important to SOA formation. Among these important factors included the number of methyl groups for the SOA precursor, the number of rings for the SOA precursor, and the presence of dinitrogen pentoxide (N 2 O 5 ). |
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