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Estimates of wood burning contribution to PM by the macro-tracer method using tailored emission factors

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Title: Estimates of wood burning contribution to PM by the macro-tracer method using tailored emission factors
Authors: Piazzalunga, A.1,2 andrea.piazzalunga@unimib.it, Belis, C.3, Bernardoni, V.4, Cazzuli, O.5, Fermo, P.1, Valli, G.4, Vecchi, R.4
Source: Atmospheric Environment. Dec2011, Vol. 45 Issue 37, p6642-6649. 8p.
Subjects: Pyrography, Particulate matter, Emissions (Air pollution), Smoke, Environmental impact analysis, Estimation theory, Data analysis, Atmospheric carbon dioxide
Abstract: Abstract: In this work, a methodology based on the macro-tracer approach was improved to obtain a more reliable estimate of the wood burning impact on PM10 and OC concentrations. Indeed, literature emission factors were weighed by the wood consumption data available for the investigated region and these tailored factors were used in the calculation. Moreover, an alternative approach using the chemical profile of the wood burning source obtained by the Positive Matrix Factorization was introduced. As far as we know, this is the first time that PMF-derived emission ratios instead of source emission factors are used in the macro-tracer method. A critical comparison of the results obtained by the two approaches was carried out. The results suggest that PMF-derived emission ratios can be a feasible alternative to the widely used wood smoke emission factors, which show a high variability. The proposed methodology was applied to a trial dataset of wintertime PM10 samples - characterised for anhydrosugars, organic, and elemental carbon – collected in the frame of a regional project. The results gave a preliminary estimate of the wood smoke contribution to PM10 and OC in different sites in Lombardy (Northern Italy). [Copyright &y& Elsevier]
Copyright of Atmospheric Environment is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 66413364
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Estimates of wood burning contribution to PM by the macro-tracer method using tailored emission factors
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  Data: <searchLink fieldCode="AR" term="%22Piazzalunga%2C+A%2E%22">Piazzalunga, A.</searchLink><relatesTo>1,2</relatesTo><i> andrea.piazzalunga@unimib.it</i><br /><searchLink fieldCode="AR" term="%22Belis%2C+C%2E%22">Belis, C.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Bernardoni%2C+V%2E%22">Bernardoni, V.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Cazzuli%2C+O%2E%22">Cazzuli, O.</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22Fermo%2C+P%2E%22">Fermo, P.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Valli%2C+G%2E%22">Valli, G.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Vecchi%2C+R%2E%22">Vecchi, R.</searchLink><relatesTo>4</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Atmospheric+Environment%22">Atmospheric Environment</searchLink>. Dec2011, Vol. 45 Issue 37, p6642-6649. 8p.
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  Data: <searchLink fieldCode="DE" term="%22Pyrography%22">Pyrography</searchLink><br /><searchLink fieldCode="DE" term="%22Particulate+matter%22">Particulate matter</searchLink><br /><searchLink fieldCode="DE" term="%22Emissions+%28Air+pollution%29%22">Emissions (Air pollution)</searchLink><br /><searchLink fieldCode="DE" term="%22Smoke%22">Smoke</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+impact+analysis%22">Environmental impact analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Estimation+theory%22">Estimation theory</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Atmospheric+carbon+dioxide%22">Atmospheric carbon dioxide</searchLink>
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  Data: Abstract: In this work, a methodology based on the macro-tracer approach was improved to obtain a more reliable estimate of the wood burning impact on PM10 and OC concentrations. Indeed, literature emission factors were weighed by the wood consumption data available for the investigated region and these tailored factors were used in the calculation. Moreover, an alternative approach using the chemical profile of the wood burning source obtained by the Positive Matrix Factorization was introduced. As far as we know, this is the first time that PMF-derived emission ratios instead of source emission factors are used in the macro-tracer method. A critical comparison of the results obtained by the two approaches was carried out. The results suggest that PMF-derived emission ratios can be a feasible alternative to the widely used wood smoke emission factors, which show a high variability. The proposed methodology was applied to a trial dataset of wintertime PM10 samples - characterised for anhydrosugars, organic, and elemental carbon – collected in the frame of a regional project. The results gave a preliminary estimate of the wood smoke contribution to PM10 and OC in different sites in Lombardy (Northern Italy). [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
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  Group: Ab
  Data: <i>Copyright of Atmospheric Environment is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.atmosenv.2011.09.008
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      – Code: eng
        Text: English
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        PageCount: 8
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      – SubjectFull: Pyrography
        Type: general
      – SubjectFull: Particulate matter
        Type: general
      – SubjectFull: Emissions (Air pollution)
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      – SubjectFull: Smoke
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      – SubjectFull: Environmental impact analysis
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      – SubjectFull: Estimation theory
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      – SubjectFull: Data analysis
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      – SubjectFull: Atmospheric carbon dioxide
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      – TitleFull: Estimates of wood burning contribution to PM by the macro-tracer method using tailored emission factors
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              M: 12
              Text: Dec2011
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              Y: 2011
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              Value: 45
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