Morphology and mixing state of individual freshly emitted wildfire carbonaceous particles
Abstract
Biomass burning is one of the largest sources of carbonaceous aerosols in the atmosphere, significantly affecting earth’s radiation budget and climate. Tar balls, abundant in biomass burning smoke, absorb sunlight and have highly variable optical properties, typically not accounted for in climate models. Here we analyse single biomass burning particles from the Las Conchas fire (New Mexico, 2011) using electron microscopy. We show that the relative abundance of tar balls (80%) is 10 times greater than soot particles (8%). We also report two distinct types of tar balls; one less oxidized than the other. Furthermore, the mixing of soot particles with other material affects their optical, chemical and physical properties. We quantify the morphology of soot particles and classify them into four categories: B50% are embedded (heavily coated), B34% are partly coated, B12% have inclusions andB4% are bare. Inclusion of these observations should improve climate model performances.
- Authors:
-
- Michigan Technological Univ., Houghton, MI (United States). Atmospheric Sciences Programs
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Earth Systems Observations; Carnegie Mellon Univ., Pittsburgh, PA (United States). Civil and Environmental Engineering
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Earth Systems Observations
- Publication Date:
- Research Org.:
- Michigan Technological Univ., Houghton, MI (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1623918
- Grant/Contract Number:
- SC0006941
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Nature Communications
- Additional Journal Information:
- Journal Volume: 4; Journal Issue: 1; Journal ID: ISSN 2041-1723
- Publisher:
- Nature Publishing Group
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 09 BIOMASS FUELS; Science & Technology - Other Topics
Citation Formats
China, Swarup, Mazzoleni, Claudio, Gorkowski, Kyle, Aiken, Allison C., and Dubey, Manvendra K. Morphology and mixing state of individual freshly emitted wildfire carbonaceous particles. United States: N. p., 2013.
Web. doi:10.1038/ncomms3122.
China, Swarup, Mazzoleni, Claudio, Gorkowski, Kyle, Aiken, Allison C., & Dubey, Manvendra K. Morphology and mixing state of individual freshly emitted wildfire carbonaceous particles. United States. https://doi.org/10.1038/ncomms3122
China, Swarup, Mazzoleni, Claudio, Gorkowski, Kyle, Aiken, Allison C., and Dubey, Manvendra K. Thu .
"Morphology and mixing state of individual freshly emitted wildfire carbonaceous particles". United States. https://doi.org/10.1038/ncomms3122. https://www.osti.gov/servlets/purl/1623918.
@article{osti_1623918,
title = {Morphology and mixing state of individual freshly emitted wildfire carbonaceous particles},
author = {China, Swarup and Mazzoleni, Claudio and Gorkowski, Kyle and Aiken, Allison C. and Dubey, Manvendra K.},
abstractNote = {Biomass burning is one of the largest sources of carbonaceous aerosols in the atmosphere, significantly affecting earth’s radiation budget and climate. Tar balls, abundant in biomass burning smoke, absorb sunlight and have highly variable optical properties, typically not accounted for in climate models. Here we analyse single biomass burning particles from the Las Conchas fire (New Mexico, 2011) using electron microscopy. We show that the relative abundance of tar balls (80%) is 10 times greater than soot particles (8%). We also report two distinct types of tar balls; one less oxidized than the other. Furthermore, the mixing of soot particles with other material affects their optical, chemical and physical properties. We quantify the morphology of soot particles and classify them into four categories: B50% are embedded (heavily coated), B34% are partly coated, B12% have inclusions andB4% are bare. Inclusion of these observations should improve climate model performances.},
doi = {10.1038/ncomms3122},
journal = {Nature Communications},
number = 1,
volume = 4,
place = {United States},
year = {Thu Jul 04 00:00:00 EDT 2013},
month = {Thu Jul 04 00:00:00 EDT 2013}
}
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