• Title of article

    Ambient single particle analysis in Riverside, California by aerosol time-of-flight mass spectrometry during the SCOS97-NARSTO

  • Author/Authors

    Sylvia H. Pastor، نويسنده , , Jonathan O. Allen، نويسنده , , Lara S. Hughes، نويسنده , , Prakash Bhave، نويسنده , , Glen R. Cass، نويسنده , , Kimberly A. Prather، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2003
  • Pages
    20
  • From page
    239
  • To page
    258
  • Abstract
    Single-particle measurements were made using aerosol time-of-flight mass spectrometry (ATOFMS) instruments in conjunction with the 1997 Southern California Ozone Study-North American Research Strategy for Tropospheric Ozone (SCOS97-NARSTO). The size and chemical composition of individual ambient particles in Riverside, CA during the summer of 1997 are described. Data collected using co-located micro-orifice uniform deposit impactors (MOUDI) impactors are used to scale the ATOFMS number counts, providing a unique picture of the particle population which complements information obtained using traditional sizing and composition analysis techniques in this and previous studies. Changes in single particle composition are observed over time, and compared and contrasted with observed changes in visibility, ozone, and PM10 concentrations. Details are provided on changes in the particle size and composition observed during three morning periods with low ozone and elevated PM10 versus three afternoon periods with both elevated ozone and PM10 levels between 21–23 August 1997. The ATOFMS size profiles show afternoon periods dominated by sub-μm particles composed of organic carbon coupled with ammonium nitrate, and morning periods with relatively high levels of super-μm dust particles. The observed changes in particle size and composition are consistent with differences in air mass trajectories arriving at Riverside during the morning and afternoon time periods. Temporal variations in single particle types detected over a 40 day sampling period are presented, demonstrating the type of unique information that can be obtained regarding atmospheric particle processes through long term sampling studies. The broader availability of single particle mass spectrometers coupled with recent advances in the field are now providing unique information on the associations of multiple chemical species (i.e. mixing state) within individual particles with high size and temporal resolution.
  • Keywords
    CHEMISTRY , On-line , neural network , aerosol , particulate matter
  • Journal title
    Atmospheric Environment
  • Serial Year
    2003
  • Journal title
    Atmospheric Environment
  • Record number

    757413