• Title of article

    Measurement of ambient particulate matter concentrations and particle types near agricultural burns using electron microscopy and passive samplers

  • Author/Authors

    Wagner، نويسنده , , Jeff and Naik-Patel، نويسنده , , Kinnery and Wall، نويسنده , , Stephen and Harnly، نويسنده , , Martha، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2012
  • Pages
    12
  • From page
    260
  • To page
    271
  • Abstract
    Computer-controlled scanning electron microscopy and energy-dispersive X-ray spectroscopy were used to obtain ambient PM mass concentrations, elemental size distributions, morphologies, and particle types during four Bermuda grass burn events in Imperial Valley, California. Passive PM samplers were deployed to three to six locations surrounding each burn for durations of 24–120 h. Average PM2.5 and PM10 levels were modestly but significantly higher at locations less than 3.2 km (two miles) from the nearest burn (n = 37). During one monitored burn, higher winds caused an intense ground-level plume to envelop two samplers mounted on telephone poles very close to the field. For this event, 24-h PM2.5 exposures downwind were up to 17 times higher than that measured upwind. Particles were classified into five distinct chemical types consistent with local area sources. Burn-related particle types, primarily submicron carbonaceous particles, contributed 95% of the PM2.5 in the location directly impacted by the ground-level plume, compared to only 12% in the upwind location. Downwind PM10–2.5 particles were enriched in potassium, phosphorus, chlorine, calcium, silicon, and sulfur, consistent with analyses of bulk and partially-burned Bermuda grass. The accuracy and precision of passive sampler PM measurements were all within 4 μg m−3, though low median values caused high percent differences for PM2.5. The use of electron microscopy and passive sampling in this study enabled detailed PM characterizations, spatial comparisons, and rapid deployment in often dynamic sampling scenarios.
  • Keywords
    PM2.5 , Passive samplers , Agricultural burning , Electron microscopy , exposure assessment , PM10
  • Journal title
    Atmospheric Environment
  • Serial Year
    2012
  • Journal title
    Atmospheric Environment
  • Record number

    2239386