Aerosols from anthropogenic and biogenic sources and their interactions – modeling aerosol formation, optical properties, and impacts over the central Amazon basin
Abstract
The Green Ocean Amazon experiment – GoAmazon 2014–2015 – explored the interactions between natural biogenic forest emissions from central Amazonia and urban air pollution from Manaus. Previous GoAmazon 2014–2015 studies showed that nitrogen oxide (NOx = NO + NO2) and sulfur oxide (SOx) emissions from Manaus strongly interact with biogenic volatile organic compounds (BVOCs), affecting secondary organic aerosol (SOA) formation. In previous studies, ground-based and aircraft measurements provided evidence of SOA formation and strong changes in aerosol composition and properties. Aerosol optical properties also evolve, and their impacts on the Amazonian ecosystem can be significant. As particles age, some processes, such as SOA production, black carbon (BC) deposition, particle growth and the BC lensing effect change the aerosol optical properties, affecting the solar radiation flux at the surface. This study analyzes data and models SOA formation using the Weather Research and Forecasting with Chemistry (WRF-Chem) model to assess the spatial variability in aerosol optical properties as the Manaus plumes interact with the natural atmosphere. The following aerosol optical properties are investigated: single scattering albedo (SSA), asymmetry parameter (gaer), absorption Ångström exponent (AAE) and scattering Ångström exponent (SAE). These simulations were validated using ground-based measurements at three experimental sites, namely themore »
- Authors:
-
- National Institute for Amazonian Research Manaus, AM (Brazil); Amazonas State University, Manaus, AM (Brazil)
- Univ. of Colorado, Boulder, CO (United States); National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States). Earth System Research Lab.
- Univ. of Sao Paulo (Brazil)
- Colorado State Univ., Fort Collins, CO (United States)
- Federal Univ. of São Paulo, SP (Brazil)
- National Institute for Space Research, São Paulo, SP (Brazil)
- Federal Univ. of Alagoas, Maceió, AL (Brazil); Federal University of Campina Grande, PB (Brazil)
- Federal Univ. of Uberlândia, MG, (Brazil); Univ. of Sao Paulo (Brazil)
- Federal University of Pará, PA (Brazil)
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Data Center
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Contributing Org.:
- Pacific Northwest National Laboratory (PNNL); Brookhaven National Laboratory (BNL); Argonne National Laboratory (ANL); Oak Ridge National Laboratory (ORNL)
- OSTI Identifier:
- 1784268
- Grant/Contract Number:
- AC05-76RL01830
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Atmospheric Chemistry and Physics (Online)
- Additional Journal Information:
- Journal Name: Atmospheric Chemistry and Physics (Online); Journal Volume: 21; Journal Issue: 9; Journal ID: ISSN 1680-7324
- Publisher:
- Copernicus Publications, EGU
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES
Citation Formats
Nascimento, Janaína P., Bela, Megan M., Meller, Bruno B., Banducci, Alessandro L., Rizzo, Luciana V., Vara-Vela, Angel Liduvino, Barbosa, Henrique M. J., Gomes, Helber, Rafee, Sameh A. A., Franco, Marco A., Carbone, Samara, Cirino, Glauber G., Souza, Rodrigo A. F., McKeen, Stuart A., and Artaxo, Paulo. Aerosols from anthropogenic and biogenic sources and their interactions – modeling aerosol formation, optical properties, and impacts over the central Amazon basin. United States: N. p., 2021.
Web. doi:10.5194/acp-21-6755-2021.
Nascimento, Janaína P., Bela, Megan M., Meller, Bruno B., Banducci, Alessandro L., Rizzo, Luciana V., Vara-Vela, Angel Liduvino, Barbosa, Henrique M. J., Gomes, Helber, Rafee, Sameh A. A., Franco, Marco A., Carbone, Samara, Cirino, Glauber G., Souza, Rodrigo A. F., McKeen, Stuart A., & Artaxo, Paulo. Aerosols from anthropogenic and biogenic sources and their interactions – modeling aerosol formation, optical properties, and impacts over the central Amazon basin. United States. https://doi.org/10.5194/acp-21-6755-2021
Nascimento, Janaína P., Bela, Megan M., Meller, Bruno B., Banducci, Alessandro L., Rizzo, Luciana V., Vara-Vela, Angel Liduvino, Barbosa, Henrique M. J., Gomes, Helber, Rafee, Sameh A. A., Franco, Marco A., Carbone, Samara, Cirino, Glauber G., Souza, Rodrigo A. F., McKeen, Stuart A., and Artaxo, Paulo. Wed .
"Aerosols from anthropogenic and biogenic sources and their interactions – modeling aerosol formation, optical properties, and impacts over the central Amazon basin". United States. https://doi.org/10.5194/acp-21-6755-2021. https://www.osti.gov/servlets/purl/1784268.
@article{osti_1784268,
title = {Aerosols from anthropogenic and biogenic sources and their interactions – modeling aerosol formation, optical properties, and impacts over the central Amazon basin},
author = {Nascimento, Janaína P. and Bela, Megan M. and Meller, Bruno B. and Banducci, Alessandro L. and Rizzo, Luciana V. and Vara-Vela, Angel Liduvino and Barbosa, Henrique M. J. and Gomes, Helber and Rafee, Sameh A. A. and Franco, Marco A. and Carbone, Samara and Cirino, Glauber G. and Souza, Rodrigo A. F. and McKeen, Stuart A. and Artaxo, Paulo},
abstractNote = {The Green Ocean Amazon experiment – GoAmazon 2014–2015 – explored the interactions between natural biogenic forest emissions from central Amazonia and urban air pollution from Manaus. Previous GoAmazon 2014–2015 studies showed that nitrogen oxide (NOx = NO + NO2) and sulfur oxide (SOx) emissions from Manaus strongly interact with biogenic volatile organic compounds (BVOCs), affecting secondary organic aerosol (SOA) formation. In previous studies, ground-based and aircraft measurements provided evidence of SOA formation and strong changes in aerosol composition and properties. Aerosol optical properties also evolve, and their impacts on the Amazonian ecosystem can be significant. As particles age, some processes, such as SOA production, black carbon (BC) deposition, particle growth and the BC lensing effect change the aerosol optical properties, affecting the solar radiation flux at the surface. This study analyzes data and models SOA formation using the Weather Research and Forecasting with Chemistry (WRF-Chem) model to assess the spatial variability in aerosol optical properties as the Manaus plumes interact with the natural atmosphere. The following aerosol optical properties are investigated: single scattering albedo (SSA), asymmetry parameter (gaer), absorption Ångström exponent (AAE) and scattering Ångström exponent (SAE). These simulations were validated using ground-based measurements at three experimental sites, namely the Amazon Tall Tower Observatory – ATTO (T0a), downtown Manaus (T1), Tiwa Hotel (T2) and Manacapuru (T3), as well as the U.S. Department of Energy (DOE) Gulfstream 1 (G-1) aircraft flights. WRF-Chem simulations were performed over 7 d during March 2014. Results show a mean biogenic SOA (BSOA) mass enrichment of 512 % at the T1 site, 450 % in regions downwind of Manaus, such as the T3 site, and 850 % in areas north of the T3 site in simulations with anthropogenic emissions. The SOA formation is rather fast, with about 80 % of the SOA mass produced in 3–4 h. Comparing the plume from simulations with and without anthropogenic emissions, SSA shows a downwind reduction of approximately 10 %, 11 % and 6 % at the T1, T2 and T3 sites, respectively. Other regions, such as those further downwind of the T3 site, are also affected. The gaer values increased from 0.62 to 0.74 at the T1 site and from 0.67 to 0.72 at the T3 site when anthropogenic emissions are active. During the Manaus plume-aging process, a plume tracking analysis shows an increase in SSA from 0.91 close to Manaus to 0.98 160 km downwind of Manaus as a result of SOA production and BC deposition.},
doi = {10.5194/acp-21-6755-2021},
journal = {Atmospheric Chemistry and Physics (Online)},
number = 9,
volume = 21,
place = {United States},
year = {Wed May 05 00:00:00 EDT 2021},
month = {Wed May 05 00:00:00 EDT 2021}
}
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