Click on “Download PDF” for the PDF version or on the title for the HTML version.


If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options.

Estimate Contribution of Prescribed Rangeland Burning in Kansas to Ambient PM2.5 through Source Apportionment with Unmix Receptor Model

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  2016 ASABE Annual International Meeting  162459373.(doi:10.13031/aim.20162459373)
Authors:   Zifei Liu, Yang Liu, Ronaldo Maghirang, Daniel Devlin, Carol Blocksome
Keywords:   Source apportionment, rangeland burning, IMPROVE, Secondary organic aerosols, Smoke

Abstract. The Unmix receptor model was applied to the 2002–2014 speciated PM2.5 data from the IMPROVE site at Tallgrass National Preserve near Strong City, Kansas, to investigate contributions of prescribed rangeland burning on local air quality. This investigation found the following five source categories that contribute to annual local ambient PM2.5: nitrate/agricultural (22%), vegetative burning (5%); secondary organic aerosol (29%), sulfate/industrial (30%), and crustal/soil (14%). In the month of April, 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/m3 as primary aerosols and 4.03 µg/m3 as secondary aerosols, which in total accounted for 42% of the average PM2.5 concentration in April.

(Download PDF)    (Export to EndNotes)

 

Authors, please use the Guide for Authors when creating your articles.

Public Access Information
 Public Access = Public Access (PA)
 Public Access Limited Time = PA Limited Time
 Open Access = Open Access
 Contact Us For Purchase = Contact Us For Purchase