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Using the Aerodynamic Particle Sizer to Measure PM-coarse. Thomas Peters The University of Iowa Robert Vanderpool US EPA Sanjay Natarajan RTI International. Acknowledgements. Disclaimer.
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Using theAerodynamic Particle Sizer to Measure PM-coarse Thomas Peters The University of Iowa Robert Vanderpool US EPA Sanjay Natarajan RTI International
Acknowledgements Disclaimer Thanks to Ricky Holm at TSI for useful discussions and to TSI for loaning the two APS units that were used during this study. Although this work was reviewed by EPA and approved for publication, it may not necessarily reflect official Agency policy. Mention of trade names or commercial products does not constitute endorsement or recommendation for use.
Aerodynamic Particle Sizer (APS) • Counts and sizes particles • Aerodynamic diameter from 0.5 um to 20 um • Number concentration • Rapid, entire size distribution in seconds • Ideal for measuring coarse aerosols • Estimate PM-coarse Must convert from particle number to mass distribution
volume equivalent diameter APS Counts Shape Factor APS Diameter Cubed Particle Density Convert Number to Mass Distribution Mass = Number x Volume x Density
Counting Efficiency of the APS Solid particles bounce demonstrates capability of optics and processing scheme to count near 100% particles Droplets hit inner nozzle Volckens and Peters (submitted to JAS)
Hypothesis: Data from the APS can be used to estimate PM-coarse • Many coarse aerosols are solid, bouncy material • Counting efficiency near 100% • Only need shape factor and density Goal of this work: Compare PM-Coarse estimated with the APS 3321 with that measured with filter-based FRM samplers
Methods • Co-located samplers • Two APS 3321 • Three FRM PM-2.5 • Three PM-10 • Three US cities • Riverside, CA • Phoenix, AZ • Gary, IN • Thirty days each
APS Sampling Configuration PM-10 inlet on roof Isokinetic Flow Splitter No conditioner on inlet, but trailer at 20-25ºC APS 3321
Data Analysis • Measured by Federal Reference Method (FRM) • PM-Coarse = PM-10 – PM-2.5 • Estimated from APS 3321 data • Calculate particle mass concentration by size • density = 2 g/cm3 • shape factor = 1.4 • Sum mass concentration above 2.5 um
Eliminate Outliers y = 0.59 x + 0.83 r2 = 0.91 Gary, IN
If water is associated with particles - density lower - shape nearer to one (drops) - liquid losses Negative bias in mass estimate Meteorology • In Gary • Temperature lowest • Relative humidity greatest • Often relative humidity greater than deliquescence point
Conclusions • APS can estimate PM-Coarse • Must apply density and shape factor • Measurement affected by water uptake • Need to dry aerosol before entering APS • APS provides additional information • Number, surface area, mass concentration • Great temporal resolution for source apportionment
Future Work • Planned lab work • Compare mass concentration by size estimated with APS to aerosols with known density and shape factors • Controlled temperature / relative humidity experiments • Two additional field studies planned • Research Triangle Park, Feb. 2005 • Phoenix, AZ, May 2005 • Resolve counting efficiency for liquid drops