Document


Title

Estimating contributions of prescribed rangeland burning in Kansas to ambient PM2.5 through source apportionment with the Unmix receptor model
Document Type: Journal Article
Author(s): Z. Liu; Yang Liu; R. Maghirang; D. Devlin; C. Blocksome
Publication Year: 2016

Cataloging Information

Keyword(s):
  • aerosol
  • air quality
  • Ammonia Emissions
  • IMPROVE
  • Kansas
  • range management
  • Rangeland Burning
  • Secondary Organic Aerosols
  • smoke management
  • source apportionment
Region(s):
Record Maintained By:
Record Last Modified: August 2, 2019
FRAMES Record Number: 55497
Tall Timbers Record Number: 33538
TTRS Location Status: Not in file
TTRS Call Number: Available
TTRS Abstract Status: Fair use, Okay

This bibliographic record was either created or modified by the Tall Timbers Research Station and Land Conservancy and is provided without charge to promote research and education in Fire Ecology. The E.V. Komarek Fire Ecology Database is the intellectual property of the Tall Timbers Research Station and Land Conservancy.

Description

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 the 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, 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 mg m-3 as primary aerosols and 4.03 mg m-3 as secondary aerosols, which in total accounted for 42% of the average PM2.5 concentration in April. © 2016 American Society of Agricultural And Biological Engineers.

Online Link(s):
Citation:
Liu, Z., Y. Liu, R. Maghirang, D. Devlin, and C. Blocksome. 2016. Estimating contributions of prescribed rangeland burning in Kansas to ambient PM2.5 through source apportionment with the Unmix receptor model. Transactions of the ASABE, v. 59, no. 5, p. 1267-1275. 10.13031/trans.59.11612.