Identification and quantification of organic aerosol from cooking and other sources in Barcelona using aerosol mass spectrometer data

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Identification and quantification of organic aerosol from cooking and other sources in Barcelona using aerosol mass spectrometer data. / Mohr, C.; DeCarlo, P. F.; Heringa, M. F.; Chirico, R.; Slowik, J. G.; Richter, R.; Reche, C.; Alastuey, A.; Querol, X.; Seco, R.; Peñuelas, J.; Jiménez, J. L.; Crippa, M.; Zimmermann, R.; Baltensperger, U.; Prévôt, A. S. H.

I: Atmospheric Chemistry and Physics, Bind 12, Nr. 4, 2012, s. 1649-1665.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Mohr, C, DeCarlo, PF, Heringa, MF, Chirico, R, Slowik, JG, Richter, R, Reche, C, Alastuey, A, Querol, X, Seco, R, Peñuelas, J, Jiménez, JL, Crippa, M, Zimmermann, R, Baltensperger, U & Prévôt, ASH 2012, 'Identification and quantification of organic aerosol from cooking and other sources in Barcelona using aerosol mass spectrometer data', Atmospheric Chemistry and Physics, bind 12, nr. 4, s. 1649-1665. https://doi.org/10.5194/acp-12-1649-2012

APA

Mohr, C., DeCarlo, P. F., Heringa, M. F., Chirico, R., Slowik, J. G., Richter, R., Reche, C., Alastuey, A., Querol, X., Seco, R., Peñuelas, J., Jiménez, J. L., Crippa, M., Zimmermann, R., Baltensperger, U., & Prévôt, A. S. H. (2012). Identification and quantification of organic aerosol from cooking and other sources in Barcelona using aerosol mass spectrometer data. Atmospheric Chemistry and Physics, 12(4), 1649-1665. https://doi.org/10.5194/acp-12-1649-2012

Vancouver

Mohr C, DeCarlo PF, Heringa MF, Chirico R, Slowik JG, Richter R o.a. Identification and quantification of organic aerosol from cooking and other sources in Barcelona using aerosol mass spectrometer data. Atmospheric Chemistry and Physics. 2012;12(4):1649-1665. https://doi.org/10.5194/acp-12-1649-2012

Author

Mohr, C. ; DeCarlo, P. F. ; Heringa, M. F. ; Chirico, R. ; Slowik, J. G. ; Richter, R. ; Reche, C. ; Alastuey, A. ; Querol, X. ; Seco, R. ; Peñuelas, J. ; Jiménez, J. L. ; Crippa, M. ; Zimmermann, R. ; Baltensperger, U. ; Prévôt, A. S. H. / Identification and quantification of organic aerosol from cooking and other sources in Barcelona using aerosol mass spectrometer data. I: Atmospheric Chemistry and Physics. 2012 ; Bind 12, Nr. 4. s. 1649-1665.

Bibtex

@article{7fba6fe89575413ca1f113388e8ddadd,
title = "Identification and quantification of organic aerosol from cooking and other sources in Barcelona using aerosol mass spectrometer data",
abstract = "PM 1 (particulate matter with an aerodynamic diameter <1 μm) non-refractory components and black carbon were measured continuously together with additional air quality and atmospheric parameters at an urban background site in Barcelona, Spain, during March 2009 (campaign DAURE, Determination of the sources of atmospheric Aerosols in Urban and Rural Environments in the western Mediterranean). Positive matrix factorization (PMF) was conducted on the organic aerosol (OA) data matrix measured by an aerosol mass spectrometer, on both unit mass (UMR) and high resolution (HR) data. Five factors or sources could be identified: LV-OOA (low-volatility oxygenated OA), related to regional, aged secondary OA; SVOOA (semi-volatile oxygenated OA), a fresher oxygenated OA; HOA (hydrocarbon-like OA, related to traffic emissions); BBOA (biomass burning OA) from domestic heating or agricultural biomass burning activities; and COA (cooking OA). LV-OOA contributed 28% to OA, SV-OOA 27 %, COA 17 %, HOA 16 %, and BBOA 11 %. The COA HR spectrum contained substantial signal from oxygenated ions (O:C: 0.21) whereas the HR HOA spectrum had almost exclusively contributions from chemically reduced ions (O:C: 0.03). If we assume that the carbon in HOA is fossil while that in COA and BBOA is modern, primary OA in Barcelona contains a surprisingly high fraction (59 %) of non-fossil carbon. This paper presents a method for estimating cooking organic aerosol in ambient datasets based on the fractions of organic mass fragments at m/z 55 and 57: their data points fall into a V-shape in a scatter plot, with strongly influenced HOA data aligned to the right arm and strongly influenced COA data points aligned to the left arm. HR data show that this differentiation is mainly driven by the oxygen-containing ions C 3H 3O+ and C 3H 5O+, even though their contributions to m/z 55 and 57 are low compared to the reduced ions C 4H + 7 and C 4H + 9. A simple estimation method based on the markers m/z 55, 57, and 44 is developed here and allows for a first-order-estimation of COA in urban air. This study emphasizes the importance of cooking activities for ambient air quality and confirms the importance of chemical composition measurements with a high mass and time resolution.",
author = "C. Mohr and DeCarlo, {P. F.} and Heringa, {M. F.} and R. Chirico and Slowik, {J. G.} and R. Richter and C. Reche and A. Alastuey and X. Querol and R. Seco and J. Pe{\~n}uelas and Jim{\'e}nez, {J. L.} and M. Crippa and R. Zimmermann and U. Baltensperger and Pr{\'e}v{\^o}t, {A. S. H.}",
year = "2012",
doi = "10.5194/acp-12-1649-2012",
language = "English",
volume = "12",
pages = "1649--1665",
journal = "Atmospheric Chemistry and Physics",
issn = "1680-7316",
publisher = "Copernicus GmbH",
number = "4",

}

RIS

TY - JOUR

T1 - Identification and quantification of organic aerosol from cooking and other sources in Barcelona using aerosol mass spectrometer data

AU - Mohr, C.

AU - DeCarlo, P. F.

AU - Heringa, M. F.

AU - Chirico, R.

AU - Slowik, J. G.

AU - Richter, R.

AU - Reche, C.

AU - Alastuey, A.

AU - Querol, X.

AU - Seco, R.

AU - Peñuelas, J.

AU - Jiménez, J. L.

AU - Crippa, M.

AU - Zimmermann, R.

AU - Baltensperger, U.

AU - Prévôt, A. S. H.

PY - 2012

Y1 - 2012

N2 - PM 1 (particulate matter with an aerodynamic diameter <1 μm) non-refractory components and black carbon were measured continuously together with additional air quality and atmospheric parameters at an urban background site in Barcelona, Spain, during March 2009 (campaign DAURE, Determination of the sources of atmospheric Aerosols in Urban and Rural Environments in the western Mediterranean). Positive matrix factorization (PMF) was conducted on the organic aerosol (OA) data matrix measured by an aerosol mass spectrometer, on both unit mass (UMR) and high resolution (HR) data. Five factors or sources could be identified: LV-OOA (low-volatility oxygenated OA), related to regional, aged secondary OA; SVOOA (semi-volatile oxygenated OA), a fresher oxygenated OA; HOA (hydrocarbon-like OA, related to traffic emissions); BBOA (biomass burning OA) from domestic heating or agricultural biomass burning activities; and COA (cooking OA). LV-OOA contributed 28% to OA, SV-OOA 27 %, COA 17 %, HOA 16 %, and BBOA 11 %. The COA HR spectrum contained substantial signal from oxygenated ions (O:C: 0.21) whereas the HR HOA spectrum had almost exclusively contributions from chemically reduced ions (O:C: 0.03). If we assume that the carbon in HOA is fossil while that in COA and BBOA is modern, primary OA in Barcelona contains a surprisingly high fraction (59 %) of non-fossil carbon. This paper presents a method for estimating cooking organic aerosol in ambient datasets based on the fractions of organic mass fragments at m/z 55 and 57: their data points fall into a V-shape in a scatter plot, with strongly influenced HOA data aligned to the right arm and strongly influenced COA data points aligned to the left arm. HR data show that this differentiation is mainly driven by the oxygen-containing ions C 3H 3O+ and C 3H 5O+, even though their contributions to m/z 55 and 57 are low compared to the reduced ions C 4H + 7 and C 4H + 9. A simple estimation method based on the markers m/z 55, 57, and 44 is developed here and allows for a first-order-estimation of COA in urban air. This study emphasizes the importance of cooking activities for ambient air quality and confirms the importance of chemical composition measurements with a high mass and time resolution.

AB - PM 1 (particulate matter with an aerodynamic diameter <1 μm) non-refractory components and black carbon were measured continuously together with additional air quality and atmospheric parameters at an urban background site in Barcelona, Spain, during March 2009 (campaign DAURE, Determination of the sources of atmospheric Aerosols in Urban and Rural Environments in the western Mediterranean). Positive matrix factorization (PMF) was conducted on the organic aerosol (OA) data matrix measured by an aerosol mass spectrometer, on both unit mass (UMR) and high resolution (HR) data. Five factors or sources could be identified: LV-OOA (low-volatility oxygenated OA), related to regional, aged secondary OA; SVOOA (semi-volatile oxygenated OA), a fresher oxygenated OA; HOA (hydrocarbon-like OA, related to traffic emissions); BBOA (biomass burning OA) from domestic heating or agricultural biomass burning activities; and COA (cooking OA). LV-OOA contributed 28% to OA, SV-OOA 27 %, COA 17 %, HOA 16 %, and BBOA 11 %. The COA HR spectrum contained substantial signal from oxygenated ions (O:C: 0.21) whereas the HR HOA spectrum had almost exclusively contributions from chemically reduced ions (O:C: 0.03). If we assume that the carbon in HOA is fossil while that in COA and BBOA is modern, primary OA in Barcelona contains a surprisingly high fraction (59 %) of non-fossil carbon. This paper presents a method for estimating cooking organic aerosol in ambient datasets based on the fractions of organic mass fragments at m/z 55 and 57: their data points fall into a V-shape in a scatter plot, with strongly influenced HOA data aligned to the right arm and strongly influenced COA data points aligned to the left arm. HR data show that this differentiation is mainly driven by the oxygen-containing ions C 3H 3O+ and C 3H 5O+, even though their contributions to m/z 55 and 57 are low compared to the reduced ions C 4H + 7 and C 4H + 9. A simple estimation method based on the markers m/z 55, 57, and 44 is developed here and allows for a first-order-estimation of COA in urban air. This study emphasizes the importance of cooking activities for ambient air quality and confirms the importance of chemical composition measurements with a high mass and time resolution.

U2 - 10.5194/acp-12-1649-2012

DO - 10.5194/acp-12-1649-2012

M3 - Journal article

AN - SCOPUS:84857709139

VL - 12

SP - 1649

EP - 1665

JO - Atmospheric Chemistry and Physics

JF - Atmospheric Chemistry and Physics

SN - 1680-7316

IS - 4

ER -

ID: 234282239