Karsten Baumann, Mei Zheng, Michael Chang, and Ted Russell

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Presentation transcript:

Karsten Baumann, Mei Zheng, Michael Chang, and Ted Russell Study of Air Quality Impacts Resulting from Prescribed Burning on Military Facilities Karsten Baumann, Mei Zheng, Michael Chang, and Ted Russell

The Conflict Clean Air Act Endangered Species Act

Issues on Local to Global Scales In the continental U.S. prescribed burns and forest fires contribute ~37 % to the total direct fine PM emissions of ~1 Mio t per year* * Nizich et al., EPA Report 454/R-00-002 (NTIS PB2000-108054), RTP, NC, 2000 Effects on Health Visibility Air Quality Climate Do prescribed burns reduce the risk of wild fires?

FAQS Observations: Regional Problem of PM2.5 Period 2001+ 02 MAY-OCT NOV-APR

PM2.5 Eceedance at Columbus-OLC near Fort Benning for SE winds in Winter 2001/02 Despite regional character of PM2.5, local PM sources on military installations dominant in winter half.

Seasonal Differences in Diurnal Cycles: O3 & PM2.5 PM2.5 Sources Near Columbus Driving Nighttime Averages in Winter 2001/02

PM2.5 Eceedance Event at Columbus-OLC in Oct-Nov 2001

Objectives and Outlook In this initial pilot study, establish understanding of the direct and indirect impact of current burn practices on sub-regional Air Quality. Lay foundation for more comprehensive and better focused Phase II Study to optimize burn practices toward minimum AQ impact. Create results of general applicability for the benefit of LMBs on other military installations in the SE-US and beyond. Learn lessons that help create and implement new revised land management strategies for the benefit of other agencies and institutions that face often times devastating wild fires in other parts of the Nation.

Preliminary Results March’03 Progressively increasing fine PM mass and increasing organics fraction. Increased fine PM mass and organics fraction correlate with increased temperature, solar radiation, and O3, indicating increased oxidizing potential, hence formation of SOA.

Still To Do Collect more samples as progressing into summer Analyze VOC samples Analyze POC High-Volume samples QA/QC all met, gas and PM data Do source apportionment for select samples Integrate ECMI met data from Ft Benning Merge all AQ data with fuel data Evaluate fuel-type – AQ relationship Prepare data for model integration Develop strategy for phase II

Find this presentation as 030507 FAQS Mac briefg in ppt-format at For more information Dr. Karsten Baumann (PI) kb@eas.gatech.edu Dr. Mei Zheng mzheng@eas.gatech.edu Dr. Michael Chang chang@eas.gatech.edu Dr. Ted Russell trussell@ce.gatech.edu Find this presentation as 030507 FAQS Mac briefg in ppt-format at http://arec.gatech.edu/Presentations