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Biomass burning particulate matter (BBPM) affects regional air
quality and global climate, with impacts expected to continue to grow over the
coming years. We show that studies of North American fires have a systematic
altitude dependence in measured BBPM normalized excess mixing ratio
(NEMR; ΔPM/ΔCO), with airborne and high-altitude studies showing a
factor of 2 higher NEMR than ground-based measurements. We report direct
airborne measurements of BBPM volatility that partially explain the difference in
the BBPM NEMR observed across platforms. We find that when heated to 40−
45 °C in an airborne thermal denuder, 19% of lofted smoke PM1 evaporates.
Thermal denuder measurements are consistent with evaporation observed when
a single smoke plume was sampled across a range of temperatures as the plume
descended from 4 to 2 km altitude. We also demonstrate that chemical aging of
smoke and differences in PM emission factors can not fully explain the platformdependent differences. When the measured PM volatility is applied to output
from the High Resolution Rapid Refresh Smoke regional model, we predict a lower PM NEMR at the surface compared to the lofted
smoke measured by aircraft. These results emphasize the significant role that gas-particle partitioning plays in determining the air
quality impacts of wildfire smoke.
KEYWORDS: Biomass burning organic aerosol volatility, volatility basis set. Major findings: Research regarding biomass burning organic aerosol volatility reveals a systematic altitude dependence in particulate matter concentrations, with airborne studies recording values twice as high as ground-based measurements. Direct airborne quantification demonstrates that approximately 19% of lofted smoke particulate matter evaporates when subjected to surface-level temperatures. These findings indicate that gas-particle partitioning, rather than chemical aging or initial emission factors, is the primary driver of platform-dependent differences in smoke density. Applying these volatility constraints to regional models reduces predicted surface smoke concentrations by 31%, aligning model outputs more closely with observed ground-level impacts.
https://pubs.acs.org/doi/pdf/10.1021/acs.est.3c05017?ref=article_openPDF
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Impact of Biomass Burning Organic Aerosol Volatility on Smoke Concentrations Downwind of Fires
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2023
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