Estimate contribution of prescribed rangeland burning in Kansas to ambient PM2.5 through source apportionment with unmix receptor model

Zifei Liu, Yang Liu, Ronaldo Maghirang, Daniel Devlin, Carol Blocksome

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2016 American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2016
PublisherAmerican Society of Agricultural and Biological Engineers
ISBN (Electronic)9781510828759
DOIs
StatePublished - Jan 1 2016
Externally publishedYes
Event2016 ASABE Annual International Meeting - Orlando, United States
Duration: Jul 17 2016Jul 20 2016

Publication series

Name2016 American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2016

Other

Other2016 ASABE Annual International Meeting
CountryUnited States
CityOrlando
Period7/17/167/20/16

Keywords

  • IMPROVE
  • Rangeland burning
  • Secondary organic aerosols
  • Smoke
  • Source apportionment

ASJC Scopus subject areas

  • Bioengineering
  • Agronomy and Crop Science

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    Liu, Z., Liu, Y., Maghirang, R., Devlin, D., & Blocksome, C. (2016). Estimate contribution of prescribed rangeland burning in Kansas to ambient PM2.5 through source apportionment with unmix receptor model. In 2016 American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2016 (2016 American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2016). American Society of Agricultural and Biological Engineers. https://doi.org/10.13031/aim.20162459373