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Estimating Contributions of Prescribed Rangeland Burning in Kansas to Ambient PM2.5 through Source Apportionment with the Unmix Receptor Model

2016; American Society of Agricultural and Biological Engineers; Volume: 59; Issue: 5 Linguagem: Inglês

10.13031/trans.59.11612

2151-0040

Zifei Liu, Yang Liu, Ronaldo G. Maghirang, Daniel L. Devlin, Carol Blocksome,

Atmospheric and Environmental Gas Dynamics

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 contributions of vegetative burning and secondary organic aerosol increased to 11% and 49%, respectively, indicating the influence of the prescribed burning season. The contribution of smoke from prescribed burning was estimated to be 1.05 μg m -3 as primary aerosols and 4.03 μg m -3 as secondary aerosols, which in total accounted for 42% of the average PM 2.5 concentration in April.