title: Partitioning phase preference for secondary organic aerosol in an urban atmosphere.
abstract: Secondary organic aerosol (SOA) comprises a significant portion of atmospheric particular matter. The impact of particular matter on both human health and global climate has long been recognized. Despite its importance, there are still many unanswered questions regarding the formation and evolution of SOA in the atmosphere. This study uses a modeling approach to understand the preferred partitioning behavior of SOA species into aqueous or organic condensed phases. More specifically, this work uses statistical analyses of approximately 24,000 data values for each variable from a state of the art 3D airshed model. Spatial and temporal distributions of fractions of SOA residing in the aqueous phase (fAQ) in the South Coast Air Basin of California are presented. Typical values of fAQ within the basin near the surface range from 5 to 80%. Results show that the likelihood of large fAQ values is inversely proportional to the total SOA loading. Analysis of various meteorological parameters indicates that large fAQ values are predicted because modeled aqueous-phase SOA formation is less sensitive than that of organic-phase SOA to atmospheric conditions that are not conducive to SOA formation. There is a diurnal variation of fAQ near the surface: It tends to be larger during daytime hours than during nighttime hours. Results also indicate that the largest fAQ values are simulated in layers above ground level at night. In summary, one must consider SOA in both organic and aqueous phases for proper regional and global SOA budget estimation.
authors.affiliation: Department of Mechanical and Aerospace Engineering, University of California, Irvine, CA 92697, USA.
authors.forename: Wayne L
authors.initials: WL
authors.lastname: Chang
authors.forename: Robert J
authors.initials: RJ
authors.lastname: Griffin
authors.forename: Donald
authors.initials: D
authors.lastname: Dabdub
mesh_terms: D000336:Aerosols; D000393:Air Pollutants / Q000032:analysis; D001272:Atmosphere; D002140:California; D002625:Chemistry, Organic / Q000379:methods*; D002947:Cities; D003198:Computer Simulation; D004784:Environmental Monitoring / Q000379:methods*; D005843:Geography; D015233:Models, Statistical; D052638:Particulate Matter; D012984:Software; D012997:Solvents; D013997:Time Factors; D014835:Volatilization
chemical_list: D000336:Aerosols; D000393:Air Pollutants; D052638:Particulate Matter; D012997:Solvents