Inter-comparison of source apportionment models for the estimation of wood burning aerosols during wintertime in an Alpine city (Grenoble, France)

The emission of organic aerosols (OA) in the ambient air by residential wood burning is nowadays a subject of great scientific concern and a growing number of studies aim at apportioning the influence of such emissions on urban air quality. In the present study, results obtained using two commonly-u...

Full description

Bibliographic Details
Main Authors: O. Favez, I. El Haddad, C. Piot, A. Boréave, E. Abidi, N. Marchand, J.-L. Jaffrezo, J.-L. Besombes, M.-B. Personnaz, J. Sciare, H. Wortham, C. George, B. D'Anna
Format: Article
Language:English
Published: Copernicus Publications 2010-06-01
Series:Atmospheric Chemistry and Physics
Online Access:http://www.atmos-chem-phys.net/10/5295/2010/acp-10-5295-2010.pdf
_version_ 1819032683541430272
author O. Favez
I. El Haddad
C. Piot
A. Boréave
E. Abidi
N. Marchand
J.-L. Jaffrezo
J.-L. Besombes
M.-B. Personnaz
J. Sciare
H. Wortham
C. George
B. D'Anna
author_facet O. Favez
I. El Haddad
C. Piot
A. Boréave
E. Abidi
N. Marchand
J.-L. Jaffrezo
J.-L. Besombes
M.-B. Personnaz
J. Sciare
H. Wortham
C. George
B. D'Anna
author_sort O. Favez
collection DOAJ
description The emission of organic aerosols (OA) in the ambient air by residential wood burning is nowadays a subject of great scientific concern and a growing number of studies aim at apportioning the influence of such emissions on urban air quality. In the present study, results obtained using two commonly-used source apportionment models, i.e., Chemical Mass Balance (CMB, performed with off-line filter measurements) and Positive Matrix Factorization (PMF, applied to Aerosol Mass Spectrometer measurements), as well as using the recently-proposed Aethalometer model (based on the measurement of the aerosol light absorption at different wavelengths) are inter-compared. This work is performed using field data obtained during the winter season (14 to 29 January 2009) at an urban background site of a French Alpine city (Grenoble). Converging results from the different models indicate a major contribution of wood burning organic aerosols (OM<sub>wb</sub>) to the ambient aerosol organic fraction, with mean OM<sub>wb</sub> contributions to total OA of 68%, 61% and 37% for the CMB, the Aethalometer and the AMS-PMF models respectively, during the period when the three modelling studies overlapped (12 days). Quantitative discrepancies might notably be due to the overestimation of OM<sub>wb</sub> calculated by the CMB due to the loss of semi-volatile compounds from sources to receptor site, as well as to the accounting of oxidized primary wood burning organic (OPOA<sub>wb</sub>) aerosols within the Oxygenated Organic Aerosol (OOA) PMF-factor. This OOA factor accounts on average for about 50% of total OM, while non-combustion sources contribute to about 25% and 28% of total OM according to the CMB and Aethalometer models respectively. Each model suggests a mean contribution of fossil fuel emissions to total OM of about 10%. A good agreement is also obtained for the source apportionment of elemental carbon (EC) by both the CMB and the Aethalometer models, with fossil fuel emissions representing on average more than 80% of total EC.
first_indexed 2024-12-21T07:05:50Z
format Article
id doaj.art-bcb6383bf1e6415685654b6f5610c3f9
institution Directory Open Access Journal
issn 1680-7316
1680-7324
language English
last_indexed 2024-12-21T07:05:50Z
publishDate 2010-06-01
publisher Copernicus Publications
record_format Article
series Atmospheric Chemistry and Physics
spelling doaj.art-bcb6383bf1e6415685654b6f5610c3f92022-12-21T19:12:07ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242010-06-0110125295531410.5194/acp-10-5295-2010Inter-comparison of source apportionment models for the estimation of wood burning aerosols during wintertime in an Alpine city (Grenoble, France)O. FavezI. El HaddadC. PiotA. BoréaveE. AbidiN. MarchandJ.-L. JaffrezoJ.-L. BesombesM.-B. PersonnazJ. SciareH. WorthamC. GeorgeB. D'AnnaThe emission of organic aerosols (OA) in the ambient air by residential wood burning is nowadays a subject of great scientific concern and a growing number of studies aim at apportioning the influence of such emissions on urban air quality. In the present study, results obtained using two commonly-used source apportionment models, i.e., Chemical Mass Balance (CMB, performed with off-line filter measurements) and Positive Matrix Factorization (PMF, applied to Aerosol Mass Spectrometer measurements), as well as using the recently-proposed Aethalometer model (based on the measurement of the aerosol light absorption at different wavelengths) are inter-compared. This work is performed using field data obtained during the winter season (14 to 29 January 2009) at an urban background site of a French Alpine city (Grenoble). Converging results from the different models indicate a major contribution of wood burning organic aerosols (OM<sub>wb</sub>) to the ambient aerosol organic fraction, with mean OM<sub>wb</sub> contributions to total OA of 68%, 61% and 37% for the CMB, the Aethalometer and the AMS-PMF models respectively, during the period when the three modelling studies overlapped (12 days). Quantitative discrepancies might notably be due to the overestimation of OM<sub>wb</sub> calculated by the CMB due to the loss of semi-volatile compounds from sources to receptor site, as well as to the accounting of oxidized primary wood burning organic (OPOA<sub>wb</sub>) aerosols within the Oxygenated Organic Aerosol (OOA) PMF-factor. This OOA factor accounts on average for about 50% of total OM, while non-combustion sources contribute to about 25% and 28% of total OM according to the CMB and Aethalometer models respectively. Each model suggests a mean contribution of fossil fuel emissions to total OM of about 10%. A good agreement is also obtained for the source apportionment of elemental carbon (EC) by both the CMB and the Aethalometer models, with fossil fuel emissions representing on average more than 80% of total EC.http://www.atmos-chem-phys.net/10/5295/2010/acp-10-5295-2010.pdf
spellingShingle O. Favez
I. El Haddad
C. Piot
A. Boréave
E. Abidi
N. Marchand
J.-L. Jaffrezo
J.-L. Besombes
M.-B. Personnaz
J. Sciare
H. Wortham
C. George
B. D'Anna
Inter-comparison of source apportionment models for the estimation of wood burning aerosols during wintertime in an Alpine city (Grenoble, France)
Atmospheric Chemistry and Physics
title Inter-comparison of source apportionment models for the estimation of wood burning aerosols during wintertime in an Alpine city (Grenoble, France)
title_full Inter-comparison of source apportionment models for the estimation of wood burning aerosols during wintertime in an Alpine city (Grenoble, France)
title_fullStr Inter-comparison of source apportionment models for the estimation of wood burning aerosols during wintertime in an Alpine city (Grenoble, France)
title_full_unstemmed Inter-comparison of source apportionment models for the estimation of wood burning aerosols during wintertime in an Alpine city (Grenoble, France)
title_short Inter-comparison of source apportionment models for the estimation of wood burning aerosols during wintertime in an Alpine city (Grenoble, France)
title_sort inter comparison of source apportionment models for the estimation of wood burning aerosols during wintertime in an alpine city grenoble france
url http://www.atmos-chem-phys.net/10/5295/2010/acp-10-5295-2010.pdf
work_keys_str_mv AT ofavez intercomparisonofsourceapportionmentmodelsfortheestimationofwoodburningaerosolsduringwintertimeinanalpinecitygrenoblefrance
AT ielhaddad intercomparisonofsourceapportionmentmodelsfortheestimationofwoodburningaerosolsduringwintertimeinanalpinecitygrenoblefrance
AT cpiot intercomparisonofsourceapportionmentmodelsfortheestimationofwoodburningaerosolsduringwintertimeinanalpinecitygrenoblefrance
AT aboreave intercomparisonofsourceapportionmentmodelsfortheestimationofwoodburningaerosolsduringwintertimeinanalpinecitygrenoblefrance
AT eabidi intercomparisonofsourceapportionmentmodelsfortheestimationofwoodburningaerosolsduringwintertimeinanalpinecitygrenoblefrance
AT nmarchand intercomparisonofsourceapportionmentmodelsfortheestimationofwoodburningaerosolsduringwintertimeinanalpinecitygrenoblefrance
AT jljaffrezo intercomparisonofsourceapportionmentmodelsfortheestimationofwoodburningaerosolsduringwintertimeinanalpinecitygrenoblefrance
AT jlbesombes intercomparisonofsourceapportionmentmodelsfortheestimationofwoodburningaerosolsduringwintertimeinanalpinecitygrenoblefrance
AT mbpersonnaz intercomparisonofsourceapportionmentmodelsfortheestimationofwoodburningaerosolsduringwintertimeinanalpinecitygrenoblefrance
AT jsciare intercomparisonofsourceapportionmentmodelsfortheestimationofwoodburningaerosolsduringwintertimeinanalpinecitygrenoblefrance
AT hwortham intercomparisonofsourceapportionmentmodelsfortheestimationofwoodburningaerosolsduringwintertimeinanalpinecitygrenoblefrance
AT cgeorge intercomparisonofsourceapportionmentmodelsfortheestimationofwoodburningaerosolsduringwintertimeinanalpinecitygrenoblefrance
AT bdanna intercomparisonofsourceapportionmentmodelsfortheestimationofwoodburningaerosolsduringwintertimeinanalpinecitygrenoblefrance