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CHARACTERIZING IMPACTS OF WILD AND PRESCRIBED FIRES ON AMBIENT FINE PARTICLE CONCENTRATIONS CSU Atmospheric Science Department National Park Service/CIRA.

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Presentation on theme: "CHARACTERIZING IMPACTS OF WILD AND PRESCRIBED FIRES ON AMBIENT FINE PARTICLE CONCENTRATIONS CSU Atmospheric Science Department National Park Service/CIRA."— Presentation transcript:

1 CHARACTERIZING IMPACTS OF WILD AND PRESCRIBED FIRES ON AMBIENT FINE PARTICLE CONCENTRATIONS CSU Atmospheric Science Department National Park Service/CIRA Carnegie Mellon University USDA/FS Fire Science Lab

2 Fire and smoke o Fire is a large emitter of carbon to the atmosphere in many parts of the world o In the U.S., OC contributes 1/3 or more to PM 2.5 in much of the SE and west o Fire thought to be a major contributor o Increased fire expected to produce 40% increase in PM 2.5 OC in western U.S. by middle of century deltaOC due to fire (2046-2050 minus 1996-2000) Spracklen et al., 2009

3 Particle Source Markers o How do we apportion fine particle pollution to its sources? o Molecular Markers = Source Tracers o Candidate Markers o K+ o Levoglucosan Smoke particle Marker as fraction of smoke particle Levoglucosan

4 The FLAME Experiments  Fire Science Lab at Missoula  CSU, NPS, USFS, EPA, DRI, CMU, CU, Aerodyne,…  Characterization of smoke emissions  Hundreds of burns  NW, SW, and SE fuel emphasis

5 Yosemite source apportionment

6 What happens when smoke ages? Aging chamber experiments How much new PM (SOA) is produced by aging? Can we find SOA tracers? What happens to primary smoke tracers?

7 Levoglucosan Summary Levoglucosan a useful marker for primary PM from biomass combustion – Source profiles determined for many fuel types and components (FLAME I,II,III) – Less fire phase dependent than K + – Photochemical decay of levoglucosan can bias estimates of primary smoke PM low New PM production in aging fire plumes highly variable – Mass increase sometimes small as SOA production appears offset by fragmentation and volatilization – Single marker unlikely to fully capture PM production during aging

8 Aging example: black spruce AMS time series: Black Spruce (10/07/09) Aging figures courtesy of Chris Hennigan


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