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

Krecl, Patricia (author)
Stockholms universitet,Institutionen för tillämpad miljövetenskap (ITM)
Hedberg Larsson, Emma (author)
Stockholms universitet,Institutionen för tillämpad miljövetenskap (ITM)
Ström, Johan (author)
Stockholms universitet,Institutionen för tillämpad miljövetenskap (ITM)
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Johansson, Christer (author)
Stockholms universitet,Institutionen för tillämpad miljövetenskap (ITM)
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 (creator_code:org_t)
2008-07-10
2008
English.
In: Atmospheric Chemistry And Physics. - : Copernicus GmbH. - 1680-7316 .- 1680-7324. ; 8:13, s. 3639-3653
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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 (PM10, PM1, 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 Ion-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 PM10, PM1, 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%), PM10 (36-82%), PM1 (31-83%), and M-LAC (40-76%) mass concentrations in the winter season.

Subject headings

NATURVETENSKAP  -- Geovetenskap och miljövetenskap (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences (hsv//eng)

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Krecl, Patricia
Hedberg Larsson, ...
Ström, Johan
Johansson, Chris ...
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NATURAL SCIENCES
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Stockholm University

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