Contribution of residential wood combustion and other sources to hourly winter aerosol in Northern Sweden determined by positive matrix factorization

The combined effect of residential wood combustion (RWC) emissions with stable atmospheric conditions, which frequently occurs in Northern Sweden during wintertime, can deteriorate the air quality even in small towns. To estimate the contribution of RWC to the total atmospheric aerosol loading, posi...

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Published in:Atmospheric Chemistry and Physics
Main Authors: Krecl, P., Hedberg Larsson, E., Ström, J., Johansson, C.
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/acp-8-3639-2008
https://www.atmos-chem-phys.net/8/3639/2008/
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spelling ftcopernicus:oai:publications.copernicus.org:acp5122 2023-05-15T17:44:32+02:00 Contribution of residential wood combustion and other sources to hourly winter aerosol in Northern Sweden determined by positive matrix factorization Krecl, P. Hedberg Larsson, E. Ström, J. Johansson, C. 2018-01-15 application/pdf https://doi.org/10.5194/acp-8-3639-2008 https://www.atmos-chem-phys.net/8/3639/2008/ eng eng doi:10.5194/acp-8-3639-2008 https://www.atmos-chem-phys.net/8/3639/2008/ eISSN: 1680-7324 Text 2018 ftcopernicus https://doi.org/10.5194/acp-8-3639-2008 2019-12-24T09:58:14Z The combined effect of residential wood combustion (RWC) emissions with stable atmospheric conditions, which frequently occurs in Northern Sweden during wintertime, can deteriorate the air quality even in small towns. To estimate the contribution of RWC to the total atmospheric aerosol loading, positive matrix factorization (PMF) was applied to hourly mean particle number size distributions measured in a residential area in Lycksele during winter 2005/2006. The sources were identified based on the particle number size distribution profiles of the PMF factors, the diurnal contributions patterns estimated by PMF for both weekends and weekdays, and correlation of the modeled particle number concentration per factor with measured aerosol mass concentrations (PM 10 , PM 1 , and light-absorbing carbon M LAC ) Through these analyses, the factors were identified as local traffic (factor 1), local RWC (factor 2), and local RWC plus long-range transport (LRT) of aerosols (factor 3). In some occasions, the PMF model could not separate the contributions of local RWC from background concentrations since their particle number size distributions partially overlapped. As a consequence, we report the contribution of RWC as a range of values, being the minimum determined by factor 2 and the possible maximum as the contributions of both factors 2 and 3. A multiple linear regression (MLR) of observed PM 10 , PM 1 , total particle number, and M LAC concentrations is carried out to determine the source contribution to these aerosol variables. The results reveal RWC is an important source of atmospheric particles in the size range 25–606 nm (44–57%), PM 10 (36–82%), PM 1 (31–83%), and M LAC (40–76%) mass concentrations in the winter season. The contribution from RWC is especially large on weekends between 18:00 LT and midnight whereas local traffic emissions show similar contributions every day. Text Northern Sweden Copernicus Publications: E-Journals Atmospheric Chemistry and Physics 8 13 3639 3653
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collection Copernicus Publications: E-Journals
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language English
description The combined effect of residential wood combustion (RWC) emissions with stable atmospheric conditions, which frequently occurs in Northern Sweden during wintertime, can deteriorate the air quality even in small towns. To estimate the contribution of RWC to the total atmospheric aerosol loading, positive matrix factorization (PMF) was applied to hourly mean particle number size distributions measured in a residential area in Lycksele during winter 2005/2006. The sources were identified based on the particle number size distribution profiles of the PMF factors, the diurnal contributions patterns estimated by PMF for both weekends and weekdays, and correlation of the modeled particle number concentration per factor with measured aerosol mass concentrations (PM 10 , PM 1 , and light-absorbing carbon M LAC ) Through these analyses, the factors were identified as local traffic (factor 1), local RWC (factor 2), and local RWC plus long-range transport (LRT) of aerosols (factor 3). In some occasions, the PMF model could not separate the contributions of local RWC from background concentrations since their particle number size distributions partially overlapped. As a consequence, we report the contribution of RWC as a range of values, being the minimum determined by factor 2 and the possible maximum as the contributions of both factors 2 and 3. A multiple linear regression (MLR) of observed PM 10 , PM 1 , total particle number, and M LAC concentrations is carried out to determine the source contribution to these aerosol variables. The results reveal RWC is an important source of atmospheric particles in the size range 25–606 nm (44–57%), PM 10 (36–82%), PM 1 (31–83%), and M LAC (40–76%) mass concentrations in the winter season. The contribution from RWC is especially large on weekends between 18:00 LT and midnight whereas local traffic emissions show similar contributions every day.
format Text
author Krecl, P.
Hedberg Larsson, E.
Ström, J.
Johansson, C.
spellingShingle Krecl, P.
Hedberg Larsson, E.
Ström, J.
Johansson, C.
Contribution of residential wood combustion and other sources to hourly winter aerosol in Northern Sweden determined by positive matrix factorization
author_facet Krecl, P.
Hedberg Larsson, E.
Ström, J.
Johansson, C.
author_sort Krecl, P.
title Contribution of residential wood combustion and other sources to hourly winter aerosol in Northern Sweden determined by positive matrix factorization
title_short Contribution of residential wood combustion and other sources to hourly winter aerosol in Northern Sweden determined by positive matrix factorization
title_full Contribution of residential wood combustion and other sources to hourly winter aerosol in Northern Sweden determined by positive matrix factorization
title_fullStr Contribution of residential wood combustion and other sources to hourly winter aerosol in Northern Sweden determined by positive matrix factorization
title_full_unstemmed Contribution of residential wood combustion and other sources to hourly winter aerosol in Northern Sweden determined by positive matrix factorization
title_sort contribution of residential wood combustion and other sources to hourly winter aerosol in northern sweden determined by positive matrix factorization
publishDate 2018
url https://doi.org/10.5194/acp-8-3639-2008
https://www.atmos-chem-phys.net/8/3639/2008/
genre Northern Sweden
genre_facet Northern Sweden
op_source eISSN: 1680-7324
op_relation doi:10.5194/acp-8-3639-2008
https://www.atmos-chem-phys.net/8/3639/2008/
op_doi https://doi.org/10.5194/acp-8-3639-2008
container_title Atmospheric Chemistry and Physics
container_volume 8
container_issue 13
container_start_page 3639
op_container_end_page 3653
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