2016 ASABE International Meeting 2016
DOI: 10.13031/aim.20162459373
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Estimate Contribution of Prescribed Rangeland Burning in Kansas to Ambient PM2.5 through Source Apportionment with Unmix Receptor Model

Abstract: The Unmix receptor model was applied to the 2002-2014 speciated PM 2.5 data from the IMPROVE site at Tallgrass National Preserve near Strong City, Kansas, to investigate the contributions of prescribed rangeland burning on local air quality. This investigation found the following five source categories that contribute to annual local ambient PM 2.5 : nitrate/agricultural (22%), vegetative burning (5%), secondary organic aerosol (29%), sulfate/industrial (30%), and crustal/soil (14%). In the month of April, the… Show more

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