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124 results on '"Močnik, G."'

3. Contribution of black carbon and desert dust to aerosol absorption in the atmosphere of the Eastern Arabian Peninsula

Author

Mahfouz, M. M. K., Skok, G., Sciare, J., Pikridas, M., Rami Alfarra, M., Moosakutty, S., Alfoldy, B., Ivančič, M., Rigler, M., Gregorič, A., Podlipec, R., Lohmann, S., (0000-0001-7192-716X) Hlawacek, G., Heller, R., Tutsak, E., Močnik, G., Mahfouz, M. M. K., Skok, G., Sciare, J., Pikridas, M., Rami Alfarra, M., Moosakutty, S., Alfoldy, B., Ivančič, M., Rigler, M., Gregorič, A., Podlipec, R., Lohmann, S., (0000-0001-7192-716X) Hlawacek, G., Heller, R., Tutsak, E., and Močnik, G.

Abstract

Discriminating the absorption coefficients of aerosol mineral dust and black carbon (BC) in different aerosol size fractions is a challenge because of BC's large mass absorption cross-section compared to dust. Ambient aerosol wavelength dependent absorption coefficients in supermicron and submicron size fractions were determined with a high time resolution. The measurements were performed simultaneously using identical systems at an urban and a regional background site in Qatar. At each site, measurements were taken by co-located Aethalometers, one with a virtual impactor (VI) and the other with a PM1 cyclone to respectively collect super-micron-enhanced and submicron fractions. The combined measurement of aerosol absorption and scattering coefficients enabled the particles to be classified based on their optical properties' wavelength dependence. The classification reveals the presence of BC internally/externally mixed with different aerosols. Helium ion microscopy images provided information concerning the extent of mineral dust in the submicron fraction. The determination of absorption coefficients during dust storms and non-dust periods was used to establish the absorption Ångström exponent for dust and BC. Non-parametric wind regression, potential source contribution function and back-trajectory analysis reveal major regional sources of desert dust associated with north-westerly winds and a minor local dust contribution. In contrast, major BC sources found locally were associated with south-westerly winds with a smaller contribution made by offshore emissions transported by north-easterly and easterly winds. The use of a pair of Aethalometers with VI and PM1 inlets separates contributions of BC and dust to the aerosol absorption coefficient.

Published
2024

5. Anthropic Settlements’ Impact on the Light-Absorbing Aerosol Concentrations and Heating Rate in the Arctic

Author

Losi, N, Markuszewski, P, Rigler, M, Gregorič, A, Močnik, G, Drozdowska, V, Makuch, P, Zielinski, T, Pakszys, P, Kitowska, M, Cefalì, A, Gini, I, Doldi, A, Cerri, S, Maroni, P, Bolzacchini, E, Ferrero, L, Losi N., Markuszewski P., Rigler M., Gregorič A., Močnik G., Drozdowska V., Makuch P., Zielinski T., Pakszys P., Kitowska M., Cefalì A. M., Gini I., Doldi A., Cerri S., Maroni P., Bolzacchini E., Ferrero L., Losi, N, Markuszewski, P, Rigler, M, Gregorič, A, Močnik, G, Drozdowska, V, Makuch, P, Zielinski, T, Pakszys, P, Kitowska, M, Cefalì, A, Gini, I, Doldi, A, Cerri, S, Maroni, P, Bolzacchini, E, Ferrero, L, Losi N., Markuszewski P., Rigler M., Gregorič A., Močnik G., Drozdowska V., Makuch P., Zielinski T., Pakszys P., Kitowska M., Cefalì A. M., Gini I., Doldi A., Cerri S., Maroni P., Bolzacchini E., and Ferrero L.

Abstract

Light-absorbing aerosols (LAA) impact the atmosphere by heating it. Their effect in the Arctic was investigated during two summer Arctic oceanographic campaigns (2018 and 2019) around the Svalbard Archipelago in order to unravel the differences between the Arctic background and the local anthropic settlements. Therefore, the LAA heating rate (HR) was experimentally determined. Both the chemical composition and high-resolution measurements highlighted substantial differences between the Arctic Ocean background (average eBC concentration of 11.7 ± 0.1 ng/m3) and the human settlements, among which the most impacting appeared to be Tromsø and Isfjorden (mean eBC of 99.4 ± 3.1 ng/m3). Consequently, the HR in Isfjorden (8.2 × 10−3 ± 0.3 × 10−3 K/day) was one order of magnitude higher than in the pristine background conditions (0.8 × 10−3 ± 0.9 × 10−5 K/day). Therefore, we conclude that the direct climate impact of local LAA sources on the Arctic atmosphere is not negligible and may rise in the future due to ice retreat and enhanced marine traffic.

Published
2023

10. Consistent determination of the heating rate of light-absorbing aerosol using wavelength- and time-dependent Aethalometer multiple-scattering correction

Author

Ferrero, L., primary, Bernardoni, V., additional, Santagostini, L., additional, Cogliati, S., additional, Soldan, F., additional, Valentini, S., additional, Massabò, D., additional, Močnik, G., additional, Gregorič, A., additional, Rigler, M., additional, Prati, P., additional, Bigogno, A., additional, Losi, N., additional, Valli, G., additional, Vecchi, R., additional, and Bolzacchini, E., additional

Published
2021
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11. On the wavelength dependence of the AE33 aethalometer multiple scattering correction factor C

Author

Yus-Díez, Jesús, Bernardoni, V., Pandolfi, Marco, Alastuey, Andrés, Querol, Xavier, Ciniglia, Davide, Močnik, G., Vecchi, R., Pandolfi, Marco [0000-0002-7493-7213], Alastuey, Andrés [0000-0002-5453-5495], Querol, Xavier [0000-0002-6549-9899], Pandolfi, Marco, Alastuey, Andrés, and Querol, Xavier

Subjects
Aerosols, Aethalometer
Abstract

The Aethalometer (AE; Magee Scientific) is a widely used filter-based instrument that provides in-situ realtime optical measurements of light absorbing aerosols in 7 different wavelengths ranging from 370nm to 950nm. As for any other filter-based technique, Aethalometer measurements are affected by two artefacts: the multiple-scattering effects caused by the scattering of sampling light by both the filter fibres and the aerosol particles on the filter (C(l) in Eq. 1) and the loading effect due to the saturation of the measurement as a function of deposited particles (RATN(l) in Eq. 1)., This work was supported by Generalitat de Catalunya (SGR41), FEDER funds under the project HOUSE (CGL2016-78594-R), COST action COLOSSAL (CA16109).

Published
2020

12. Comparison and complementary use of in situ and remote sensing aerosol measurements in the Athens Metropolitan Area

Author

Vratolis, S. Fetfatzis, P. Argyrouli, A. Soupiona, O. Mylonaki, M. Maroufidis, J. Kalogridis, A.-C. Manousakas, M. Bezantakos, S. Binietoglou, I. Labzovskii, L.D. Solomos, S. Papayannis, A. Močnik, G. O’ Connor, E. Müller, D. Tzanis, C.G. Eleftheriadis, K.

Abstract

In the summer of 2014 in situ and remote sensing instruments were deployed in Athens, in order to study the concentration, physical properties, and chemical composition of aerosols. In this manuscript we aim to combine the measurements of collocated in situ and remote sensing instruments by comparison and complementary use, in order to increase the accuracy of predictions concerning climate change and human health. We also develop a new method in order to select days when a direct comparison on in situ and remote sensing instruments is possible. On selected days that displayed significant turbulence up to approximately 1000 m above ground level (agl), we acquired the aerosol extinction or scattering coefficient by in situ instruments using three approaches. In the first approach the aerosol extinction coefficient was acquired by adding a Nephelometer scattering coefficient in ambient conditions and an Aethalometer absorption coefficient. The correlation between the in situ and remote sensing instruments was good (coefficient of determination R2 equal to 0.69). In the second approach we acquired the aerosol refractive index by fitting dry Nephelometer and Aethalometer measurements with Mie algorithm calculations of the scattering and absorption coefficients for the size distribution up to a maximum diameter of 1000 nm obtained by in situ instruments. The correlation in this case was relatively good (R2 equal to 0.56). Our next step was to compare the extinction coefficient acquired by remote sensing instruments to the scattering coefficient calculated by Mie algorithm using the size distribution up to a maximum diameter of 1000 nm and the equivalent refractive index (ERICOR), which is acquired by the comparison of the size distributions obtained by a Scanning Mobility Particle Sizer (SMPS) and an Optical Particle Counter (OPC). The agreement between the in situ and remote sensing instruments in this case was not satisfactory (R2 equal to 0.35). The last comparison for the selected days was between the aerosol extinction Ångström exponent acquired by in situ and remote sensing instruments. The correlation was not satisfactory (R2 equal to 0.4), probably due to differences in the number size distributions present in the air volumes measured by in situ and remote sensing instruments. We also present a day that a Saharan dust event occurred in Athens in order to demonstrate the information we obtain through the synergy of in situ and remote sensing instruments on how regional aerosol is added to local aerosol, especially during pollution events due to long range transport. © 2020 Elsevier Ltd

Published
2020

13. Fine aerosol chemical composition and sources in Europe using high time resolution instrumentation

Author

Minguillón, María Cruz, Prévôt, André S.H., Riffault, V., Favez, O., Gilardoni, Stefania, Močnik, G., Platt, S., Green, D., Ovadnevaite, J., Kasper-Giebl, Anne, Alastuey, Andrés, Marmureanu, L., Eriksson, A., Sokolovic, D., COLOSSAL Team, Minguillón, María Cruz, Prévôt, André S.H., Riffault, V., Favez, O., Gilardoni, Stefania, Močnik, G., Platt, S., Green, D., Ovadnevaite, J., Kasper-Giebl, Anne, Alastuey, Andrés, Marmureanu, L., Eriksson, A., Sokolovic, D., and COLOSSAL Team

Published
2020

14. On the wavelength dependence of the AE33 aethalometer multiple scattering correction factor C

Author

Pandolfi, Marco [0000-0002-7493-7213], Alastuey, Andrés [0000-0002-5453-5495], Querol, Xavier [0000-0002-6549-9899], Yus-Díez, Jesús, Bernardoni, V., Pandolfi, Marco, Alastuey, Andrés, Querol, Xavier, Ciniglia, Davide, Močnik, G., Vecchi, R., Pandolfi, Marco [0000-0002-7493-7213], Alastuey, Andrés [0000-0002-5453-5495], Querol, Xavier [0000-0002-6549-9899], Yus-Díez, Jesús, Bernardoni, V., Pandolfi, Marco, Alastuey, Andrés, Querol, Xavier, Ciniglia, Davide, Močnik, G., and Vecchi, R.

Abstract

The Aethalometer (AE; Magee Scientific) is a widely used filter-based instrument that provides in-situ realtime optical measurements of light absorbing aerosols in 7 different wavelengths ranging from 370nm to 950nm. As for any other filter-based technique, Aethalometer measurements are affected by two artefacts: the multiple-scattering effects caused by the scattering of sampling light by both the filter fibres and the aerosol particles on the filter (C(l) in Eq. 1) and the loading effect due to the saturation of the measurement as a function of deposited particles (RATN(l) in Eq. 1).

Published
2020

16. Aerosol optical properties in the Arctic: The role of aerosol chemistry and dust composition in a closure experiment between Lidar and tethered balloon vertical profiles

Author

Ferrero, L., primary, Ritter, C., additional, Cappelletti, D., additional, Moroni, B., additional, Močnik, G., additional, Mazzola, M., additional, Lupi, A., additional, Becagli, S., additional, Traversi, R., additional, Cataldi, M., additional, Neuber, R., additional, Vitale, V., additional, and Bolzacchini, E., additional

Published
2019
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18. Determination of car on-road black carbon and particle number emission factors and comparison between mobile and stationary measurements

Author

Ježek, I, Drinovec, L, Ferrero, L, Carriero, M, Močnik, G, Močnik, G., FERRERO, LUCA, Ježek, I, Drinovec, L, Ferrero, L, Carriero, M, Močnik, G, Močnik, G., and FERRERO, LUCA

Abstract

We have used two methods for measuring emission factors (EFs) in real driving conditions on five cars in a controlled environment: the stationary method, where the investigated vehicle drives by the stationary measurement platform and the composition of the plume is measured, and the chasing method, where a mobile measurement platform drives behind the investigated vehicle. We measured EFs of black carbon and particle number concentration. The stationary method was tested for repeatability at different speeds and on a slope. The chasing method was tested on a test track and compared to the portable emission measurement system. We further developed the data processing algorithm for both methods, trying to improve consistency, determine the plume duration, limit the background influence and facilitate automatic processing of measurements. The comparison of emission factors determined by the two methods showed good agreement. EFs of a single car measured with either method have a specific distribution with a characteristic value and a long tail of super emissions. Measuring EFs at different speeds or slopes did not significantly influence the EFs of different cars; hence, we propose a new description of vehicle emissions that is not related to kinematic or engine parameters, and we rather describe the vehicle EF with a characteristic value and a super emission tail.

Published
2015

19. Evaluation of a residential wood heating emissions abatement policy at local scale in a complex area, the Arve valley, France

Author

Allard, J., Chevrier, F., Ježek, I., Močnik, G., Besombes, Jean-Luc, Brulfert, G., Laurent, J.P., Jaffrezo, J.L., Laboratoire de Chimie Moléculaire et Environnement (LCME), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), and Oumedjbeur, Abdelkrim

Subjects
[SDE] Environmental Sciences, [CHIM] Chemical Sciences, [SDE]Environmental Sciences, [CHIM]Chemical Sciences, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2017

20. Contributions of nitrated aromatic compounds to the light absorption of water-soluble and particulate brown carbon in different atmospheric environments in Germany and China

Author

Teich, M., van Pinxteren, D., Wang, M., Kecorius, S., Wang, Z., Müller, T., Močnik, G., and Herrmann, H.

Abstract

The relative contributions of eight nitrated aromatic compounds (NACs: nitrophenols and nitrated salicylic acids) to the light absorption of aqueous particle extracts and particulate brown carbon were determined from aerosol particle samples collected in Germany and China.High-volume filter samples were collected during six campaigns, performed at five locations in two seasons: (I) two campaigns with strong influence of biomass-burning (BB) aerosol at the TROPOS institute (winter, 2014, urban background, Leipzig, Germany) and the Melpitz research site (winter, 2014, rural background); (II) two campaigns with strong influence from biogenic emissions at Melpitz (summer, 2014) and the forest site Waldstein (summer, 2014, Fichtelgebirge, Germany); and (III) two CAREBeijing-NCP campaigns at Xianghe (summer, 2013, anthropogenic polluted background) and Wangdu (summer, 2014, anthropogenic polluted background with a distinct BB episode), both in the North China Plain. The filter samples were analyzed for NAC concentrations and the light absorption of aqueous filter extracts was determined. Light absorption properties of particulate brown carbon were derived from a seven-wavelength aethalometer during the campaigns at TROPOS (winter) and Waldstein (summer). The light absorption of the aqueous filter extracts was found to be pH dependent, with larger values at higher pH. In general, the aqueous light absorption coefficient (Abs370) ranged from 0.21 to 21.8 Mm−1 under acidic conditions and 0.63 to 27.2 Mm−1 under alkaline conditions, over all campaigns. The observed mass absorption efficiency (MAE370) was in a range of 0.10–1.79 m2 g−1 and 0.24–2.57 m2 g−1 for acidic and alkaline conditions, respectively. For MAE370 and Abs370, the observed values were higher in winter than in summer, in agreement with other studies. The lowest MAE was observed for the Waldstein (summer) campaign (average of 0.17 ± 0.03 m2 g−1), indicating that freshly emitted biogenic aerosols are only weakly absorbing. In contrast, a strong relationship was found between the light absorption properties and the concentrations of levoglucosan, corroborating findings from other studies. Regarding the particulate light absorption at 370 nm, a mean particulate light absorption coefficient babs, 370 of 54 Mm−1 and 6.0 Mm−1 was determined for the TROPOS (winter) and Waldstein (summer) campaigns, respectively, with average contributions of particulate brown carbon to babs, 370 of 46 % at TROPOS (winter) and 15 % at Waldstein (summer). Thus, the aethalometer measurements support the findings from aqueous filter extracts of only weakly absorbing biogenic aerosols in comparison to the more polluted and BB influenced aerosol at TROPOS (winter). The mean contribution of NACs to the aqueous extract light absorption over all campaigns ranged from 0.10 to 1.25 % under acidic conditions and 0.13 to 3.71 % under alkaline conditions. The high variability among the measurement sites showed that the emission strengths of light-absorbing compounds and the composition of brown carbon were very different for each site. The mean contribution of NACs to the particulate brown carbon light absorption was 0.10 ± 0.06 % (acidic conditions) and 0.13 ± 0.09 % (alkaline conditions) during the Waldstein (summer) campaign and 0.25 ± 0.21 % (acidic conditions) and 1.13 ± 1.03 % (alkaline conditions) during the TROPOS (winter) campaign. The average contribution of NACs to the aqueous extract light absorption over all campaigns was found to be 5 times higher than their mass contribution to water-soluble organic carbon indicating that even small amounts of light-absorbing compounds can have a disproportionately high impact on the light absorption properties of particles.

Published
2017

21. Source apportionment in a complex environment using advanced Positive Matrix Factorization: advantages and limitations

Author

Chevrier, F., Ježek, I., Močnik, G., Brulfert, G., Jaffrezo, J.-L., Besombes, Jean-Luc, Oumedjbeur, Abdelkrim, Laboratoire de Chimie Moléculaire et Environnement (LCME), and Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])

Subjects
[SDE] Environmental Sciences, [SDE]Environmental Sciences, [CHIM] Chemical Sciences, [CHIM]Chemical Sciences, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2016

22. Investigation of the impact of local meteorology on PM10 and BC atmospheric concentrations in the Alpine Arve valley, France

Author

Allard, J., Chevrier, F., Ježek, I., Močnik, G., Jaffrezo, J.-L., Brulfert, G., Laurent, J.-P., Besombes, Jean-Luc, Oumedjbeur, Abdelkrim, Laboratoire de Chimie Moléculaire et Environnement (LCME), and Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])

Subjects
[SDE] Environmental Sciences, [SDE]Environmental Sciences, [CHIM] Chemical Sciences, [CHIM]Chemical Sciences, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2016

24. Contribution of one year measurements in Arve valley to the chemical knowledge of alpine valleys and deconvolution of combustion sources

Author

Chevrier, F., Golly, B., Ježek, I., Močnik, G., Brulfert, G., Laurent, J.-P., Jaffrezo, J.-L., Besombes, Jean-Luc, Laboratoire de Chimie Moléculaire et Environnement (LCME), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Laboratoire de glaciologie et géophysique de l'environnement (LGGE), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Oumedjbeur, Abdelkrim, Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Grenoble Alpes (UGA), Observatoire des Sciences de l'Univers de Grenoble (OSUG), and Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDE] Environmental Sciences, [CHIM] Chemical Sciences, [SDE]Environmental Sciences, [CHIM]Chemical Sciences, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2015

25. Synergy of multi-source apportionment approaches in an environment highly driven by atmospheric dynamic: case study of an Alpine valley during winter

Author

Bertrand, A., Dewitt, L., Temime-Roussel, B., Chevrier, F., Močnik, G., Ježek, I., Allard, J., P Laurent, J., Canonaco, F., Prévôt, A. S. H., Jean-Luc Besombes, L Jaffrezo, J., Wortham, H., Nicolas Marchand, Laboratoire de Chimie Moléculaire et Environnement (LCME), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Grenoble Alpes (UGA), Laboratoire de glaciologie et géophysique de l'environnement (LGGE), Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), and Oumedjbeur, Abdelkrim

Subjects
[SDE] Environmental Sciences, [CHIM] Chemical Sciences, [SDE]Environmental Sciences, [CHIM]Chemical Sciences, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2015

26. Le chauffage au bois : une source majeure de pollution dans la vallée de l’Arve

Author

Chevrier, F., Močnik, G., Brulfert, G., Laurent, J.-P., Jaffrezo, J.-L., Besombes, Jean-Luc, Laboratoire de glaciologie et géophysique de l'environnement (LGGE), Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Chimie Moléculaire et Environnement (LCME), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Grenoble Alpes (UGA), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), and Oumedjbeur, Abdelkrim

Subjects
[SDE] Environmental Sciences, [CHIM] Chemical Sciences, [SDE]Environmental Sciences, [CHIM]Chemical Sciences, ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
2014

27. Contribution de la combustion de biomasse sur les niveaux de PM10 dans la Vallée de l’Arve

Author

Chevrier, F., Močnik, G., Brulfert, G., Laurent, J.-P., Jaffrezo, J.-L., Besombes, Jean-Luc, Laboratoire de glaciologie et géophysique de l'environnement (LGGE), Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Chimie Moléculaire et Environnement (LCME), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Grenoble Alpes (UGA), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), and Oumedjbeur, Abdelkrim

Subjects
[SDE] Environmental Sciences, [CHIM] Chemical Sciences, [SDE]Environmental Sciences, [CHIM]Chemical Sciences, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2014

28. Analysis of polar organic compounds by TAG-AMS: case study of an Alpine valley in France

Author

Bertrand, A., Dewitt, L., Temime-Roussel, B., Hohaus, T., Sueper, D., Chevrier, F., Jean-Luc Besombes, L Jaffrezo, J., Močnik, G., Kreisberg, N., Isaacman, G., Hering, S., Goldstein, A., Jayne, J., Wortham, H., Nicolas Marchand, Oumedjbeur, Abdelkrim, Laboratoire de Chimie Moléculaire et Environnement (LCME), and Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])

Subjects
[SDE] Environmental Sciences, [CHIM] Chemical Sciences, [SDE]Environmental Sciences, [CHIM]Chemical Sciences, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2014

29. Impact of wood burning in an Alpine valley

Author

Chevrier, F., Močnik, G., Brulfert, G., Laurent, J.-P., Jaffrezo, J.-L., Besombes, Jean-Luc, Oumedjbeur, Abdelkrim, Laboratoire de Chimie Moléculaire et Environnement (LCME), and Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])

Subjects
[SDE] Environmental Sciences, [SDE]Environmental Sciences, [CHIM] Chemical Sciences, [CHIM]Chemical Sciences, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2014

32. ACTRIS ACSM intercomparison - Part 1: Reproducibility of concentration and fragment results from 13 individual Quadrupole Aerosol Chemical Speciation Monitors (Q-ACSM) and consistency with co-located instruments

Author

Crenn, V., Sciare, J., Croteau, P.L., Verlhac, S., Fröhlich, R., Belis, C.A., Aas, W., Äijälä, M., Alastuey, Andrés, Artíñano, Begoña, Baisnée, D., Bonnaire, N., Bressi, M., Canagaratna, M., Canonaco, F., Carbone, C., Cavalli, F., Coz, Esther, Cubison, M.J., Esser-Gietl, J.K., Green, D.C., Gros, V., Heikkinen, L., Herrmann, Hartmut, Lunder, C., Minguillón, María Cruz, Močnik, G., O'Dowd, Colin D., Ovadnevaite, Jurgita, Petit, J.E., Petralia, E., Poulain, L., Priestman, M., Riffault, V., Ripoll, A., Sarda-Estève, R., Slowik, J.G., Setyan, A., Wiedensohler, Alfred, Baltensperger, U., Prévôt, André S.H., Jayne, J.T., Favez, O., Crenn, V., Sciare, J., Croteau, P.L., Verlhac, S., Fröhlich, R., Belis, C.A., Aas, W., Äijälä, M., Alastuey, Andrés, Artíñano, Begoña, Baisnée, D., Bonnaire, N., Bressi, M., Canagaratna, M., Canonaco, F., Carbone, C., Cavalli, F., Coz, Esther, Cubison, M.J., Esser-Gietl, J.K., Green, D.C., Gros, V., Heikkinen, L., Herrmann, Hartmut, Lunder, C., Minguillón, María Cruz, Močnik, G., O'Dowd, Colin D., Ovadnevaite, Jurgita, Petit, J.E., Petralia, E., Poulain, L., Priestman, M., Riffault, V., Ripoll, A., Sarda-Estève, R., Slowik, J.G., Setyan, A., Wiedensohler, Alfred, Baltensperger, U., Prévôt, André S.H., Jayne, J.T., and Favez, O.

Abstract

As part of the European ACTRIS project, the first large Quadrupole Aerosol Chemical Speciation Monitor (Q-ACSM) intercomparison study was conducted in the region of Paris for 3 weeks during the late-fall - early-winter period (November-December 2013). The first week was dedicated to the tuning and calibration of each instrument, whereas the second and third were dedicated to side-by-side comparison in ambient conditions with co-located instruments providing independent information on submicron aerosol optical, physical, and chemical properties. Near real-time measurements of the major chemical species (organic matter, sulfate, nitrate, ammonium, and chloride) in the non-refractory submicron aerosols (NR-PM) were obtained here from 13 Q-ACSM. The results show that these instruments can produce highly comparable and robust measurements of the NR-PM total mass and its major components. Taking the median of the 13 Q-ACSM as a reference for this study, strong correlations (r > 0.9) were observed systematically for each individual Q-ACSM across all chemical families except for chloride for which three Q-ACSMs showing weak correlations partly due to the very low concentrations during the study. Reproducibility expanded uncertainties of Q-ACSM concentration measurements were determined using appropriate methodologies defined by the International Standard Organization (ISO 17025, 1999) and were found to be 9, 15, 19, 28, and 36 % for NR-PM, nitrate, organic matter, sulfate, and ammonium, respectively. However, discrepancies were observed in the relative concentrations of the constituent mass fragments for each chemical component. In particular, significant differences were observed for the organic fragment at mass-to-charge ratio 44, which is a key parameter describing the oxidation state of organic aerosol. Following this first major intercomparison exercise of a large number of Q-ACSMs, detailed intercomparison results are presented, along with a discussion of some recomme

Published
2015

33. Thermal-optical analysis for the measurement of elemental carbon (EC) and organic carbon (OC) in ambient air a literature review

Author

European Commission, Karanasiou, Angeliki, Minguillón, María Cruz, Viana, Mar, Alastuey, Andrés, Putaud, Jean-Philippe, Maenhaut, Willy, Panteliadis, P., Močnik, G., Favez, O., Kuhlbusch, Thomas A. J., European Commission, Karanasiou, Angeliki, Minguillón, María Cruz, Viana, Mar, Alastuey, Andrés, Putaud, Jean-Philippe, Maenhaut, Willy, Panteliadis, P., Močnik, G., Favez, O., and Kuhlbusch, Thomas A. J.

Abstract

Thermal-optical analysis is currently under consideration by the European standardization body (CEN) as the reference method to quantitatively determine organic carbon (OC) and elemental carbon (EC) in ambient air. This paper presents an overview of the critical parameters related to the thermal-optical analysis including thermal protocols, critical factors and interferences of the methods examined, method inter-comparisons, inter-laboratory exercises, biases and artifacts, and reference materials. The most commonly used thermal protocols include NIOSH-like, IMPROVE_A and EUSAAR_2 protocols either with light transmittance or reflectance correction for charring. All thermal evolution protocols are comparable for total carbon (TC) concentrations but the results vary significantly concerning OC and especially EC concentrations. Thermal protocols with a rather low peak temperature in the inert mode like IMPROVE_A and EUSAAR_2 tend to classify more carbon as EC compared to NIOSH-like protocols, while charring correction based on transmittance usually leads to smaller EC values compared to reflectance. The difference between reflectance and transmittance correction tends to be larger than the difference between different thermal protocols. Nevertheless, thermal protocols seem to correlate better when reflectance is used as charring correction method. The difference between EC values as determined by the different protocols is not only dependent on the optical pyrolysis correction method, but also on the chemical properties of the samples due to different contributions from various sources. The overall conclusion from this literature review is that it is not possible to identify the "best" thermal-optical protocol based on literature data only, although differences attributed to the methods have been quantified when possible.

Published
2015

34. ACTRIS ACSM intercomparison – Part 1: Reproducibility of concentration and fragment results from 13 individual Quadrupole Aerosol Chemical Speciation Monitors (Q-ACSM) and consistency with co-located instruments

Author

Crenn, V., primary, Sciare, J., additional, Croteau, P. L., additional, Verlhac, S., additional, Fröhlich, R., additional, Belis, C. A., additional, Aas, W., additional, Äijälä, M., additional, Alastuey, A., additional, Artiñano, B., additional, Baisnée, D., additional, Bonnaire, N., additional, Bressi, M., additional, Canagaratna, M., additional, Canonaco, F., additional, Carbone, C., additional, Cavalli, F., additional, Coz, E., additional, Cubison, M. J., additional, Esser-Gietl, J. K., additional, Green, D. C., additional, Gros, V., additional, Heikkinen, L., additional, Herrmann, H., additional, Lunder, C., additional, Minguillón, M. C., additional, Močnik, G., additional, O'Dowd, C. D., additional, Ovadnevaite, J., additional, Petit, J.-E., additional, Petralia, E., additional, Poulain, L., additional, Priestman, M., additional, Riffault, V., additional, Ripoll, A., additional, Sarda-Estève, R., additional, Slowik, J. G., additional, Setyan, A., additional, Wiedensohler, A., additional, Baltensperger, U., additional, Prévôt, A. S. H., additional, Jayne, J. T., additional, and Favez, O., additional

Published
2015
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37. Supplementary material to "ACTRIS ACSM intercomparison – Part I: Reproducibility of concentration and fragment results from 13 individual Quadrupole Aerosol Chemical Speciation Monitors (Q-ACSM) and consistency with Time-of-Flight ACSM (ToF-ACSM), High Resolution ToF Aerosol Mass Spectrometer (HR-ToF-AMS) and other co-located instruments"

Author

Crenn, V., primary, Sciare, J., additional, Croteau, P. L., additional, Verlhac, S., additional, Fröhlich, R., additional, Belis, C. A., additional, Aas, W., additional, Äijälä, M., additional, Alastuey, A., additional, Artiñano, B., additional, Baisnée, D., additional, Bonnaire, N., additional, Bressi, M., additional, Canagaratna, M., additional, Canonaco, F., additional, Carbone, C., additional, Cavalli, F., additional, Coz, E., additional, Cubison, M. J., additional, Esser-Gietl, J. K., additional, Green, D. C., additional, Gros, V., additional, Heikkinen, L., additional, Herrmann, H., additional, Lunder, C., additional, Minguillón, M. C., additional, Močnik, G., additional, O'Dowd, C. D., additional, Ovadnevaite, J., additional, Petit, J.-E., additional, Petralia, E., additional, Poulain, L., additional, Priestman, M., additional, Riffault, V., additional, Ripoll, A., additional, Sarda-Estève, R., additional, Slowik, J. G., additional, Setyan, A., additional, Wiedensohler, A., additional, Baltensperger, U., additional, Prévôt, A. S. H., additional, Jayne, J. T., additional, and Favez, O., additional

Published
2015
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38. ACTRIS ACSM intercomparison – Part I: Reproducibility of concentration and fragment results from 13 individual Quadrupole Aerosol Chemical Speciation Monitors (Q-ACSM) and consistency with Time-of-Flight ACSM (ToF-ACSM), High Resolution ToF Aerosol Mass Spectrometer (HR-ToF-AMS) and other co-located instruments

Author

Crenn, V., primary, Sciare, J., additional, Croteau, P. L., additional, Verlhac, S., additional, Fröhlich, R., additional, Belis, C. A., additional, Aas, W., additional, Äijälä, M., additional, Alastuey, A., additional, Artiñano, B., additional, Baisnée, D., additional, Bonnaire, N., additional, Bressi, M., additional, Canagaratna, M., additional, Canonaco, F., additional, Carbone, C., additional, Cavalli, F., additional, Coz, E., additional, Cubison, M. J., additional, Esser-Gietl, J. K., additional, Green, D. C., additional, Gros, V., additional, Heikkinen, L., additional, Herrmann, H., additional, Lunder, C., additional, Minguillón, M. C., additional, Močnik, G., additional, O'Dowd, C. D., additional, Ovadnevaite, J., additional, Petit, J.-E., additional, Petralia, E., additional, Poulain, L., additional, Priestman, M., additional, Riffault, V., additional, Ripoll, A., additional, Sarda-Estève, R., additional, Slowik, J. G., additional, Setyan, A., additional, Wiedensohler, A., additional, Baltensperger, U., additional, Prévôt, A. S. H., additional, Jayne, J. T., additional, and Favez, O., additional

Published
2015
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39. ACTRIS ACSM intercomparison – Part 2: Intercomparison of ME-2 organic source apportionment results from 15 individual, co-located aerosol mass spectrometers

Author

Fröhlich, R., primary, Crenn, V., additional, Setyan, A., additional, Belis, C. A., additional, Canonaco, F., additional, Favez, O., additional, Riffault, V., additional, Slowik, J. G., additional, Aas, W., additional, Aijälä, M., additional, Alastuey, A., additional, Artiñano, B., additional, Bonnaire, N., additional, Bozzetti, C., additional, Bressi, M., additional, Carbone, C., additional, Coz, E., additional, Croteau, P. L., additional, Cubison, M. J., additional, Esser-Gietl, J. K., additional, Green, D. C., additional, Gros, V., additional, Heikkinen, L., additional, Herrmann, H., additional, Jayne, J. T., additional, Lunder, C. R., additional, Minguillón, M. C., additional, Močnik, G., additional, O'Dowd, C. D., additional, Ovadnevaite, J., additional, Petralia, E., additional, Poulain, L., additional, Priestman, M., additional, Ripoll, A., additional, Sarda-Estève, R., additional, Wiedensohler, A., additional, Baltensperger, U., additional, Sciare, J., additional, and Prévôt, A. S. H., additional

Published
2015
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42. Two years of near real-time chemical composition of submicron aerosols in the region of Paris using an Aerosol Chemical Speciation Monitor (ACSM) and a multi-wavelength Aethalometer

Author

Petit, J.-E., primary, Favez, O., additional, Sciare, J., additional, Crenn, V., additional, Sarda-Estève, R., additional, Bonnaire, N., additional, Močnik, G., additional, Dupont, J.-C., additional, Haeffelin, M., additional, and Leoz-Garziandia, E., additional

Published
2015
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44. Supplementary material to "ACTRIS ACSM intercomparison – Part 2: Intercomparison of ME-2 organic source apportionment results from 15 individual, co-located aerosol mass spectrometers"

Author

Fröhlich, R., primary, Crenn, V., additional, Setyan, A., additional, Belis, C. A., additional, Canonaco, F., additional, Favez, O., additional, Riffault, V., additional, Slowik, J. G., additional, Aas, W., additional, Aijälä, M., additional, Alastuey, A., additional, Artiñano, B., additional, Bonnaire, N., additional, Bozzetti, C., additional, Bressi, M., additional, Carbone, C., additional, Coz, E., additional, Croteau, P. L., additional, Cubison, M. J., additional, Esser-Gietl, J. K., additional, Green, D. C., additional, Gros, V., additional, Heikkinen, L., additional, Herrmann, H., additional, Jayne, J. T., additional, Lunder, C. R., additional, Minguillón, M. C., additional, Močnik, G., additional, O'Dowd, C. D., additional, Ovadnevaite, J., additional, Petralia, E., additional, Poulain, L., additional, Priestman, M., additional, Ripoll, A., additional, Sarda-Estève, R., additional, Wiedensohler, A., additional, Baltensperger, U., additional, Sciare, J., additional, and Prévôt, A. S. H., additional

Published
2015
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46. Submicron aerosol source apportionment of wintertime pollution in Paris, France by double positive matrix factorization (PMF<sup>2</sup>) using an aerosol chemical speciation monitor (ACSM) and a multi-wavelength Aethalometer

Author

Petit, J.-E., primary, Favez, O., additional, Sciare, J., additional, Canonaco, F., additional, Croteau, P., additional, Močnik, G., additional, Jayne, J., additional, Worsnop, D., additional, and Leoz-Garziandia, E., additional

Published
2014
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47. Supplementary material to "Characterization of primary and secondary wood combustion products generated under different burner loads"

Author

Bruns, E. A., primary, Krapf, M., additional, Orasche, J., additional, Huang, Y., additional, Zimmermann, R., additional, Drinovec, L., additional, Močnik, G., additional, El-Haddad, I., additional, Slowik, J. G., additional, Dommen, J., additional, Baltensperger, U., additional, and Prévôt, A. S. H., additional

Published
2014
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