Single-particle characterization of biomass burning organic aerosol (BBOA): evidence for non-uniform mixing of high molecular weight organics and potassium

Biomass burning organic aerosol (BBOA) can be emitted from natural forest fires and human activities such as agricultural burning and domestic energy generation. BBOA is strongly associated with atmospheric brown carbon (BrC) that absorbs near-ultraviolet and visible light, resulting in significa...

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Main Authors: A. K. Y. Lee, M. D. Willis, R. M. Healy, J. M. Wang, C.-H. Jeong, J. C. Wenger, G. J. Evans, J. P. D. Abbatt
Format: Article
Language:English
Published: Copernicus Publications 2016-05-01
Series:Atmospheric Chemistry and Physics
Online Access:https://www.atmos-chem-phys.net/16/5561/2016/acp-16-5561-2016.pdf
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author A. K. Y. Lee
M. D. Willis
R. M. Healy
R. M. Healy
R. M. Healy
J. M. Wang
C.-H. Jeong
J. C. Wenger
G. J. Evans
J. P. D. Abbatt
author_facet A. K. Y. Lee
M. D. Willis
R. M. Healy
R. M. Healy
R. M. Healy
J. M. Wang
C.-H. Jeong
J. C. Wenger
G. J. Evans
J. P. D. Abbatt
author_sort A. K. Y. Lee
collection DOAJ
description Biomass burning organic aerosol (BBOA) can be emitted from natural forest fires and human activities such as agricultural burning and domestic energy generation. BBOA is strongly associated with atmospheric brown carbon (BrC) that absorbs near-ultraviolet and visible light, resulting in significant impacts on regional visibility degradation and radiative forcing. The mixing state of BBOA can play a critical role in the prediction of aerosol optical properties. In this work, single-particle measurements from a Soot-Particle Aerosol Mass Spectrometer coupled with a light scattering module (LS-SP-AMS) were performed to examine the mixing state of BBOA, refractory black carbon (rBC), and potassium (K, a tracer for biomass burning aerosol) in an air mass influenced by wildfire emissions transported from northern Québec to Toronto, representing aged biomass burning plumes. Cluster analysis of single-particle measurements identified five BBOA-related particle types. rBC accounted for 3–14 wt % of these particle types on average. Only one particle type exhibited a strong ion signal for K<sup>+</sup>, with mass spectra characterized by low molecular weight organic species. The remaining four particle types were classified based on the apparent molecular weight of the BBOA constituents. Two particle types were associated with low potassium content and significant amounts of high molecular weight (HMW) organic compounds. Our observations indicate non-uniform mixing of particles within a biomass burning plume in terms of molecular weight and illustrate that HMW BBOA can be a key contributor to low-volatility BrC observed in BBOA particles. The average mass absorption efficiency of low-volatility BBOA is about 0.8–1.1 m<sup>2</sup> g<sup>−1</sup> based on a theoretical closure calculation. Our estimates indicate that low-volatility BBOA contributes ∼ 33–44 % of thermo-processed particle absorption at 405 nm; and almost all of the BBOA absorption was associated with low-volatility organics.
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spelling doaj.art-27054516aa3f449a9d40539836f260112022-12-22T03:23:01ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242016-05-01165561557210.5194/acp-16-5561-2016Single-particle characterization of biomass burning organic aerosol (BBOA): evidence for non-uniform mixing of high molecular weight organics and potassiumA. K. Y. Lee0M. D. Willis1R. M. Healy2R. M. Healy3R. M. Healy4J. M. Wang5C.-H. Jeong6J. C. Wenger7G. J. Evans8J. P. D. Abbatt9Department of Chemistry, University of Toronto, Toronto, CanadaDepartment of Chemistry, University of Toronto, Toronto, CanadaDepartment of Chemistry and Environmental Research Institute, University College Cork, Cork, IrelandSouthern Ontario Centre for Atmospheric Aerosol Research, Department of Chemical Engineering & Applied Chemistry, University of Toronto, Toronto, Canadanow at: Environmental Monitoring and Reporting Branch, Ontario Ministry of the Environment and Climate Change, Toronto, CanadaSouthern Ontario Centre for Atmospheric Aerosol Research, Department of Chemical Engineering & Applied Chemistry, University of Toronto, Toronto, CanadaSouthern Ontario Centre for Atmospheric Aerosol Research, Department of Chemical Engineering & Applied Chemistry, University of Toronto, Toronto, CanadaDepartment of Chemistry and Environmental Research Institute, University College Cork, Cork, IrelandSouthern Ontario Centre for Atmospheric Aerosol Research, Department of Chemical Engineering & Applied Chemistry, University of Toronto, Toronto, CanadaDepartment of Chemistry, University of Toronto, Toronto, CanadaBiomass burning organic aerosol (BBOA) can be emitted from natural forest fires and human activities such as agricultural burning and domestic energy generation. BBOA is strongly associated with atmospheric brown carbon (BrC) that absorbs near-ultraviolet and visible light, resulting in significant impacts on regional visibility degradation and radiative forcing. The mixing state of BBOA can play a critical role in the prediction of aerosol optical properties. In this work, single-particle measurements from a Soot-Particle Aerosol Mass Spectrometer coupled with a light scattering module (LS-SP-AMS) were performed to examine the mixing state of BBOA, refractory black carbon (rBC), and potassium (K, a tracer for biomass burning aerosol) in an air mass influenced by wildfire emissions transported from northern Québec to Toronto, representing aged biomass burning plumes. Cluster analysis of single-particle measurements identified five BBOA-related particle types. rBC accounted for 3–14 wt % of these particle types on average. Only one particle type exhibited a strong ion signal for K<sup>+</sup>, with mass spectra characterized by low molecular weight organic species. The remaining four particle types were classified based on the apparent molecular weight of the BBOA constituents. Two particle types were associated with low potassium content and significant amounts of high molecular weight (HMW) organic compounds. Our observations indicate non-uniform mixing of particles within a biomass burning plume in terms of molecular weight and illustrate that HMW BBOA can be a key contributor to low-volatility BrC observed in BBOA particles. The average mass absorption efficiency of low-volatility BBOA is about 0.8–1.1 m<sup>2</sup> g<sup>−1</sup> based on a theoretical closure calculation. Our estimates indicate that low-volatility BBOA contributes ∼ 33–44 % of thermo-processed particle absorption at 405 nm; and almost all of the BBOA absorption was associated with low-volatility organics.https://www.atmos-chem-phys.net/16/5561/2016/acp-16-5561-2016.pdf
spellingShingle A. K. Y. Lee
M. D. Willis
R. M. Healy
R. M. Healy
R. M. Healy
J. M. Wang
C.-H. Jeong
J. C. Wenger
G. J. Evans
J. P. D. Abbatt
Single-particle characterization of biomass burning organic aerosol (BBOA): evidence for non-uniform mixing of high molecular weight organics and potassium
Atmospheric Chemistry and Physics
title Single-particle characterization of biomass burning organic aerosol (BBOA): evidence for non-uniform mixing of high molecular weight organics and potassium
title_full Single-particle characterization of biomass burning organic aerosol (BBOA): evidence for non-uniform mixing of high molecular weight organics and potassium
title_fullStr Single-particle characterization of biomass burning organic aerosol (BBOA): evidence for non-uniform mixing of high molecular weight organics and potassium
title_full_unstemmed Single-particle characterization of biomass burning organic aerosol (BBOA): evidence for non-uniform mixing of high molecular weight organics and potassium
title_short Single-particle characterization of biomass burning organic aerosol (BBOA): evidence for non-uniform mixing of high molecular weight organics and potassium
title_sort single particle characterization of biomass burning organic aerosol bboa evidence for non uniform mixing of high molecular weight organics and potassium
url https://www.atmos-chem-phys.net/16/5561/2016/acp-16-5561-2016.pdf
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