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1. Strengths and Weaknesses of the Current EU Situation

Author

Belis, C., Blond, N., Bouland, C., Carnevale, C., Clappier, A., Douros, J., Fragkou, E., Guariso, G., Miranda, A. I., Nahorski, Z., Pisoni, E., Ponche, J.-L., Thunis, P., Viaene, P., Volta, M., Kacprzyk, Janusz, Series editor, Guariso, Giorgio, editor, and Volta, Marialuisa, editor

Published
2017
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2. Current European AQ Planning at Regional and Local Scale

Author

Belis, C., Baldasano, J., Blond, N., Bouland, C., Buekers, J., Carnevale, C., Cherubini, A., Clappier, A., De Saeger, E., Douros, J., Finzi, G., Fragkou, E., Gama, C., Graff, A., Guariso, G., Janssen, S., Juda-Rezler, K., Karvosenoja, N., Maffeis, G., Martilli, A., Mills, S., Miranda, A. I., Moussiopoulos, N., Nahorski, Z., Pisoni, E., Ponche, J.-L., Rasoloharimahefa, M., Real, E., Reizer, M., Relvas, H., Roncolato, D., Tainio, M., Thunis, P., Viaene, P., Vlachokostas, C., Volta, M., White, L., Kacprzyk, Janusz, Series editor, Guariso, Giorgio, editor, and Volta, Marialuisa, editor

Published
2017
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7. Current European AQ Planning at Regional and Local Scale

Author

Belis, C., primary, Baldasano, J., additional, Blond, N., additional, Bouland, C., additional, Buekers, J., additional, Carnevale, C., additional, Cherubini, A., additional, Clappier, A., additional, De Saeger, E., additional, Douros, J., additional, Finzi, G., additional, Fragkou, E., additional, Gama, C., additional, Graff, A., additional, Guariso, G., additional, Janssen, S., additional, Juda-Rezler, K., additional, Karvosenoja, N., additional, Maffeis, G., additional, Martilli, A., additional, Mills, S., additional, Miranda, A. I., additional, Moussiopoulos, N., additional, Nahorski, Z., additional, Pisoni, E., additional, Ponche, J.-L., additional, Rasoloharimahefa, M., additional, Real, E., additional, Reizer, M., additional, Relvas, H., additional, Roncolato, D., additional, Tainio, M., additional, Thunis, P., additional, Viaene, P., additional, Vlachokostas, C., additional, Volta, M., additional, and White, L., additional

Published
2016
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8. Strengths and Weaknesses of the Current EU Situation

Author

Belis, C., primary, Blond, N., additional, Bouland, C., additional, Carnevale, C., additional, Clappier, A., additional, Douros, J., additional, Fragkou, E., additional, Guariso, G., additional, Miranda, A. I., additional, Nahorski, Z., additional, Pisoni, E., additional, Ponche, J.-L., additional, Thunis, P., additional, Viaene, P., additional, and Volta, M., additional

Published
2016
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17. Evaluation of receptor and chemical transport models for PM10 source apportionment

Author

Belis, C. A., Pernigotti, D., Pirovano, G., Favez, O., Jaffrezo, J. L., Kuenen, J., van Der Gon, H. Denier, Reizer, M., Riffault, V, Alleman, L. Y., Almeida, M., Amato, F., Angyal, A., Argyropoulos, G., Bande, S., Beslic, I, Besombes, J-L, Bove, M. C., Brotto, P., Calori, G., Cesari, D., Colombi, C., Contini, D., De Gennaro, G., Di Gilio, A., Diapouli, E., El Haddad, I, Elbern, H., Eleftheriadis, K., Ferreira, J., Vivanco, M. Garcia, Gilardoni, S., Golly, B., Hellebust, S., Hopke, P. K., Izadmanesh, Y., Jorquera, H., Krajsek, K., Kranenburg, R., Lazzeri, P., Lenartz, F., Lucarelli, F., Maciejewska, K., Manders, A., Manousakas, M., Masiol, M., Mircea, M., Mooibroek, D., Nava, S., Oliveira, D., Paglione, M., Pandolfi, M., Perrone, M., Petralia, E., Pietrodangelo, A., Pillon, S., Pokorna, P., Prati, P., Salameh, D., Samara, C., Samek, L., Saraga, D., Sauvage, S., Schaap, M., Scotto, F., Sega, K., Siour, G., Tauler, R., Valli, G., Vecchi, R., Venturini, E., Vestenius, M., Waked, A., Yubero, E., Belis, C. A., Pernigotti, D., Pirovano, G., Favez, O., Jaffrezo, J. L., Kuenen, J., van Der Gon, H. Denier, Reizer, M., Riffault, V, Alleman, L. Y., Almeida, M., Amato, F., Angyal, A., Argyropoulos, G., Bande, S., Beslic, I, Besombes, J-L, Bove, M. C., Brotto, P., Calori, G., Cesari, D., Colombi, C., Contini, D., De Gennaro, G., Di Gilio, A., Diapouli, E., El Haddad, I, Elbern, H., Eleftheriadis, K., Ferreira, J., Vivanco, M. Garcia, Gilardoni, S., Golly, B., Hellebust, S., Hopke, P. K., Izadmanesh, Y., Jorquera, H., Krajsek, K., Kranenburg, R., Lazzeri, P., Lenartz, F., Lucarelli, F., Maciejewska, K., Manders, A., Manousakas, M., Masiol, M., Mircea, M., Mooibroek, D., Nava, S., Oliveira, D., Paglione, M., Pandolfi, M., Perrone, M., Petralia, E., Pietrodangelo, A., Pillon, S., Pokorna, P., Prati, P., Salameh, D., Samara, C., Samek, L., Saraga, D., Sauvage, S., Schaap, M., Scotto, F., Sega, K., Siour, G., Tauler, R., Valli, G., Vecchi, R., Venturini, E., Vestenius, M., Waked, A., and Yubero, E.

Abstract

In this study, the performance of two types of source apportionment models was evaluated by assessing the results provided by 40 different groups in the framework of an intercomparison organised by FAIRMODE WG3 (Forum for air quality modelling in Europe, Working Group 3). The evaluation was based on two performance indicators: z-scores and the root mean square error weighted by the reference uncertainty (RMSEu), with pre-established acceptability criteria. By involving models based on completely different and independent input data, such as receptor models (RMs) and chemical transport models (CTMs), the intercomparison provided a unique opportunity for their cross-validation. In addition, comparing the CTM chemical profiles with those measured directly at the source contributed to corroborate the consistency of the tested model results. The most commonly used RM was the US EPA- PMF version 5. RMs showed very good performance for the overall dataset (91% of z-scores accepted) while more difficulties were observed with the source contribution time series (72% of RMSEu accepted). Industrial activities proved to be the most difficult sources to be quantified by RMs, with high variability in the estimated contributions. In the CTMs, the sum of computed source contributions was lower than the measured gravimetric PM10 mass concentrations. The performance tests pointed out the differences between the two CTM approaches used for source apportionment in this study: brute force (or emission reduction impact) and tagged species methods. The sources meeting the z-score and RMSEu acceptability criteria tests were 50% and 86%, respectively. The CTM source contributions to PM10 were in the majority of cases lower than the RM averages for the corresponding source. The CTMs and RMs source contributions for the overall dataset were more comparable (83% of the z-scores accepted) than their time series (successful RMSEu in the range 25% - 34%). The comparability between CTMs and RMs va

Published
2020

21. Wood burning as source of Benzo(a)pyrene in PM

Author

Belis C., A, Piazzalunga, A, Larsen, B, Vecchi, R, Fermo, P, Colombi, C, Gianelle, V, Belis C. A, Larsen B, Vecchi R, Fermo P, Colombi C, Gianelle V., PIAZZALUNGA, ANDREA, Belis C., A, Piazzalunga, A, Larsen, B, Vecchi, R, Fermo, P, Colombi, C, Gianelle, V, Belis C. A, Larsen B, Vecchi R, Fermo P, Colombi C, Gianelle V., and PIAZZALUNGA, ANDREA

Published
2010

22. Wood burning as source of Benzo(a)pyrene in PM

Author

Belis, C, Piazzalunga, A, Larsen, B, Vecchi, R, Fermo, P, Colombi, C, Gianelle, V, Belis C. A, Larsen B, Vecchi R, Fermo P, Colombi C, Gianelle V., PIAZZALUNGA, ANDREA, Belis, C, Piazzalunga, A, Larsen, B, Vecchi, R, Fermo, P, Colombi, C, Gianelle, V, Belis C. A, Larsen B, Vecchi R, Fermo P, Colombi C, Gianelle V., and PIAZZALUNGA, ANDREA

Published
2010

24. Network di progetti per lo studio del particolato atmosferico nell’area alpina della lombardia

Author

Belis, C, Cazzuli, O, Colombi, C, Fermo, P, Gianelle, V, Giudici, A, Lanzani, G, Larsen, B, Magnani, T, Piazzalunga, A, Vecchi, R, Belis, C. A, Vecchi, R., PIAZZALUNGA, ANDREA, Belis, C, Cazzuli, O, Colombi, C, Fermo, P, Gianelle, V, Giudici, A, Lanzani, G, Larsen, B, Magnani, T, Piazzalunga, A, Vecchi, R, Belis, C. A, Vecchi, R., and PIAZZALUNGA, ANDREA

Published
2008

25. Wood burning as source of Benzo(a)pyrene in PM

Author

Belis C. A, Larsen B, Vecchi R, Fermo P, Colombi C, Gianelle V., PIAZZALUNGA, ANDREA, Belis, C, Piazzalunga, A, Larsen, B, Vecchi, R, Fermo, P, Colombi, C, and Gianelle, V

Subjects
particulate matter, wood burning, Benzo(a)pyrene
Published
2010

26. The contribution of biomass burning to PAH levels in PM10

Author

Belis, C, Larsen, B, Roberta Vecchi, R, Colombi, C, Gianelle, V., PIAZZALUNGA, ANDREA, Belis, C, Larsen, B, Piazzalunga, A, Roberta Vecchi, R, Colombi, C, and Gianelle, V

Subjects
CHIM/12 - CHIMICA DELL'AMBIENTE E DEI BENI CULTURALI, wood burning, PAH, particulate matter
Published
2010

31. Supplementary material to "Variations in the chemical composition of the submicron aerosol and in the sources of the organic fraction at a regional background site of the Po Valley (Italy)"

Author

Bressi, M., primary, Cavalli, F., additional, Belis, C. A., additional, Putaud, J.-P., additional, Fröhlich, R., additional, Martins dos Santos, S., additional, Petralia, E., additional, Prévôt, A. S. H., additional, Berico, M., additional, Malaguti, A., additional, and Canonaco, F., additional

Published
2016
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32. Variations in the chemical composition of the submicron aerosol and in the sources of the organic fraction at a regional background site of the Po Valley (Italy)

Author

Bressi, M., primary, Cavalli, F., additional, Belis, C. A., additional, Putaud, J.-P., additional, Fröhlich, R., additional, Martins dos Santos, S., additional, Petralia, E., additional, Prévôt, A. S. H., additional, Berico, M., additional, Malaguti, A., additional, and Canonaco, F., additional

Published
2016
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33. ACTRIS ACSM intercomparison - Part 2

Author

University of Helsinki, Department of Physics, Froehlich, R., Crenn, V., Setyan, A., Belis, C. A., Canonaco, F., Favez, O., Riffault, V., Slowik, J. G., Aas, W., Aijala, M., Alastuey, A., Artinano, B., Bonnaire, N., Bozzetti, C., Bressi, M., Carbone, C., Coz, E., Croteau, P. L., Cubison, M. J., Esser-Gietl, J. K., Green, D. C., Gros, V., Heikkinen, L., Herrmann, H., Jayne, J. T., Lunder, C. R., Minguillon, M. C., Mocnik, G., O'Dowd, C. D., Ovadnevaite, J., Petralia, E., Poulain, L., Priestman, M., Ripoll, A., Sarda-Esteve, R., Wiedensohler, A., Baltensperger, U., Sciare, J., Prevot, A. S. H., University of Helsinki, Department of Physics, Froehlich, R., Crenn, V., Setyan, A., Belis, C. A., Canonaco, F., Favez, O., Riffault, V., Slowik, J. G., Aas, W., Aijala, M., Alastuey, A., Artinano, B., Bonnaire, N., Bozzetti, C., Bressi, M., Carbone, C., Coz, E., Croteau, P. L., Cubison, M. J., Esser-Gietl, J. K., Green, D. C., Gros, V., Heikkinen, L., Herrmann, H., Jayne, J. T., Lunder, C. R., Minguillon, M. C., Mocnik, G., O'Dowd, C. D., Ovadnevaite, J., Petralia, E., Poulain, L., Priestman, M., Ripoll, A., Sarda-Esteve, R., Wiedensohler, A., Baltensperger, U., Sciare, J., and Prevot, A. S. H.

Abstract

Chemically resolved atmospheric aerosol data sets from the largest intercomparison of the Aerodyne aerosol chemical speciation monitors (ACSMs) performed to date were collected at the French atmospheric supersite SIRTA. In total 13 quadrupole ACSMs (Q-ACSM) from the European ACTRIS ACSM network, one time-of-flight ACSM (ToF-ACSM), and one high-resolution ToF aerosol mass spectrometer (AMS) were operated in parallel for about 3 weeks in November and December similar to 2013. Part 1 of this study reports on the accuracy and precision of the instruments for all the measured species. In this work we report on the intercomparison of organic components and the results from factor analysis source apportionment by positive matrix factorisation (PMF) utilising the multilinear engine 2 (ME-2). Except for the organic contribution of mass-to-charge ratio m/z 44 to the total organics (f(44)), which varied by factors between 0.6 and 1.3 compared to the mean, the peaks in the organic mass spectra were similar among instruments. The m/z 44 differences in the spectra resulted in a variable f(44) in the source profiles extracted by ME-2, but had only a minor influence on the extracted mass contributions of the sources. The presented source apportionment yielded four factors for all 15 instruments: hydrocarbon-like organic aerosol (HOA), cooking-related organic aerosol (COA), biomass burning-related organic aerosol (BBOA) and secondary oxygenated organic aerosol (OOA). ME-2 boundary conditions (profile constraints) were optimised individually by means of correlation to external data in order to achieve equivalent / comparable solutions for all ACSM instruments and the results are discussed together with the investigation of the influence of alternative anchors (reference profiles). A comparison of the ME-2 source apportionment output of all 15 instruments resulted in relative standard deviations (SD) from the mean between 13.7 and 22.7 % of the source's average mass contribution depen

Published
2015

34. ACTRIS ACSM intercomparison - Part 1

Author

University of Helsinki, Department of Physics, Crenn, V., Sciare, J., Croteau, P. L., Verlhac, S., Froehlich, R., Belis, C. A., Aas, W., Äijälä, M., Alastuey, A., Artinano, B., Baisnee, D., Bonnaire, N., Bressi, M., Canagaratna, M., Canonaco, F., Carbone, C., Cavalli, F., Coz, E., Cubison, M. J., Esser-Gietl, J. K., Green, D. C., Gros, V., Heikkinen, L., Herrmann, H., Lunder, C., Minguillon, M. C., Mocnik, G., O'Dowd, C. D., Ovadnevaite, J., Petit, J. -E., Petralia, E., Poulain, L., Priestman, M., Riffault, V., Ripoll, A., Sarda-Esteve, R., Slowik, J. G., Setyan, A., Wiedensohler, A., Baltensperger, U., Prevot, A. S. H., Jayne, J. T., Favez, O., University of Helsinki, Department of Physics, Crenn, V., Sciare, J., Croteau, P. L., Verlhac, S., Froehlich, R., Belis, C. A., Aas, W., Äijälä, M., Alastuey, A., Artinano, B., Baisnee, D., Bonnaire, N., Bressi, M., Canagaratna, M., Canonaco, F., Carbone, C., Cavalli, F., Coz, E., Cubison, M. J., Esser-Gietl, J. K., Green, D. C., Gros, V., Heikkinen, L., Herrmann, H., Lunder, C., Minguillon, M. C., Mocnik, G., O'Dowd, C. D., Ovadnevaite, J., Petit, J. -E., Petralia, E., Poulain, L., Priestman, M., Riffault, V., Ripoll, A., Sarda-Esteve, R., Slowik, J. G., Setyan, A., Wiedensohler, A., Baltensperger, U., Prevot, A. 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-PM1) were obtained here from 13 Q-ACSM. The results show that these instruments can produce highly comparable and robust measurements of the NR-PM1 total mass and its major components. Taking the median of the 13 Q-ACSM as a reference for this study, strong correlations (r(2) > 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-PM1, 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 reco

Published
2015

35. A new methodology to assess the performance and uncertainty of source apportionment models II: The results of two European intercomparison exercises

Author

Belis, C, Karagulian, F, Amato, F, Almeida, M, Artaxo, P, Beddows, D, Bernardoni, V, Bove, M, Carbone, S, Cesari, D, Contini, D, Cuccia, E, Diapouli, E, Eleftheriadis, K, Favez, O, El Haddad, I, Harrison, R, Hellebust, S, Hovorka, J, Jang, E, Jorquera, H, Kammermeier, T, Karl, M, Lucarelli, F, Mooibroek, D, Nava, S, Nøjgaard, J, Paatero, P, Pandolfi, M, Perrone, M, Petit, J, Pietrodangelo, A, Pokorná, P, Prati, P, Prevot, A, Quass, U, Querol, X, Saraga, D, Sciare, J, Sfetsos, A, Valli, G, Vecchi, R, Vestenius, M, Yubero, E, Hopke, P, Belis, CA, Beddows, D. C. S, Bove, MC, Harrison, RM, Nøjgaard, J. K, PERRONE, MARIA GRAZIA, Petit, JE, Prevot, ASH, Hopke, PK, Belis, C, Karagulian, F, Amato, F, Almeida, M, Artaxo, P, Beddows, D, Bernardoni, V, Bove, M, Carbone, S, Cesari, D, Contini, D, Cuccia, E, Diapouli, E, Eleftheriadis, K, Favez, O, El Haddad, I, Harrison, R, Hellebust, S, Hovorka, J, Jang, E, Jorquera, H, Kammermeier, T, Karl, M, Lucarelli, F, Mooibroek, D, Nava, S, Nøjgaard, J, Paatero, P, Pandolfi, M, Perrone, M, Petit, J, Pietrodangelo, A, Pokorná, P, Prati, P, Prevot, A, Quass, U, Querol, X, Saraga, D, Sciare, J, Sfetsos, A, Valli, G, Vecchi, R, Vestenius, M, Yubero, E, Hopke, P, Belis, CA, Beddows, D. C. S, Bove, MC, Harrison, RM, Nøjgaard, J. K, PERRONE, MARIA GRAZIA, Petit, JE, Prevot, ASH, and Hopke, PK

Abstract

The performance and the uncertainty of receptor models (RMs) were assessed in intercomparison exercises employing real-world and synthetic input datasets. To that end, the results obtained by different practitioners using ten different RMs were compared with a reference. In order to explain the differences in the performances and uncertainties of the different approaches, the apportioned mass, the number of sources, the chemical profiles, the contribution-to-species and the time trends of the sources were all evaluated using the methodology described in Belis et al. (2015). In this study, 87% of the 344 source contribution estimates (SCEs) reported by participants in 47 different source apportionment model results met the 50% standard uncertainty quality objective established for the performance test. In addition, 68% of the SCE uncertainties reported in the results were coherent with the analytical uncertainties in the input data. The most used models, EPA-PMF v.3, PMF2 and EPA-CMB 8.2, presented quite satisfactory performances in the estimation of SCEs while unconstrained models, that do not account for the uncertainty in the input data (e.g. APCS and FA-MLRA), showed below average performance. Sources with well-defined chemical profiles and seasonal time trends, that make appreciable contributions (>10%), were those better quantified by the models while those with contributions to the PM mass close to 1% represented a challenge. The results of the assessment indicate that RMs are capable of estimating the contribution of the major pollution source categories over a given time window with a level of accuracy that is in line with the needs of air quality management.

Published
2015

36. 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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40. Dioxins and dioxin-like pollutants in alpine forests

Author

Offenthaler, I., Moche, W., Futterknecht, P., Schwarzl, B., Thanner, G., Uhl, M., van Ommen, K., Bassan, R., Belis, C., Jakobi, G., Kirchner, M., Kräuchi, N., Schramm, K.-W., Levy-Lopez, W., Sedivy, I., Simoncic, P., and Weiss, P.

Abstract

PCDD/F and PCB concentrations in remote mountainous spruce stands of the Central European Alps show strong geographic variation. Independent of the matrix (0.5 year old needles, humus or mineral soil), the highest pollutant levels were always found at the lateral zones of the mountain range. High levels coincided with strong precipitation, particularly along the northern margin of the study region. The most volatile PCB congener propagated farther into the colder, drier central Alps than the heavier species. Matrices with different accumulation history (needles and humus) repeatedly reflected different spatial immission patterns. Consistent with its much longer exposure, pollutant levels in humus exceeded those of needles by LIP to two orders of magnitude. Needle contamination varied with altitude but the vertical trends were highly variable between transsects and changed between years, too.

Published
2009

42. Monitoring network in the Alpine Region for persistent and other organic pollutants : a multinational approach to investigate the contamination of the Alps with organic compounds

Author

Bassan, R., Jakobi, G., Belis, C., Heublein, D., Iozza, S., Jakl, T., Kirchner, M., Knoth, W., Kräuchi, N., Levy-Lopez, W., Luchetta, A., Magnani, T., Moche, W., Oehme, M., Offenthaler, I., Perthen - Palmisano, B., Schramm, K.-W., Schmidt, D., Schrott, H., Schröder, P., Sedivy, I., Simoncic, P., Uhl, M., Weiss, P., Reiner, E., and Alaee, M.

Subjects
Alpine region, organic pollutants, altitudinal effects, deposition
Published
2005

43. 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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44. European intercomparison for Receptor Models Using a Synthetic Database

Author

Belis, C, Karagulian, F, Amato, F, Almeida, M, Argyropoulos, G, Artaxo, P, Bove, M, Cesari, D, Contini, D, Diapouli, E, Eleftheriadis, K, El Haddad, I, Harrison, R, Hellebust, S, Jang, E, Jorquera, H, Mooibroek, D, Nava, S, Nøjgaard, J, Pandolfi, M, Perrone, M, Pietrodangelo, A, Pirovano, G, Pokorná, P, Prati, P, Samara, S, Saraga, D, Sfetsos, A, Valli, G, Vecchi, R, Vestenius, M, Yubero, E, Hopke, P, Belis, CA, Bove, MC, Harrison, RM, Nøjgaard, JK, Hopke, PK, PERRONE, MARIA GRAZIA, Belis, C, Karagulian, F, Amato, F, Almeida, M, Argyropoulos, G, Artaxo, P, Bove, M, Cesari, D, Contini, D, Diapouli, E, Eleftheriadis, K, El Haddad, I, Harrison, R, Hellebust, S, Jang, E, Jorquera, H, Mooibroek, D, Nava, S, Nøjgaard, J, Pandolfi, M, Perrone, M, Pietrodangelo, A, Pirovano, G, Pokorná, P, Prati, P, Samara, S, Saraga, D, Sfetsos, A, Valli, G, Vecchi, R, Vestenius, M, Yubero, E, Hopke, P, Belis, CA, Bove, MC, Harrison, RM, Nøjgaard, JK, Hopke, PK, and PERRONE, MARIA GRAZIA

Published
2013

45. European intercomparison for Receptor Models: Preliminary Results

Author

Karagulian, F, Belis, C, Amato, F, Beddows, D, Bernardoni, V, Carbone, S, Cesari, D, Cuccia, E, Contini, D, Favez, O, El Haddad, I, Harrison, R, Kammermeier, T, Karl, M, Lucarelli, F, Nava, S, Nojgaard, J, Pandolfi, M, Perrone, M, Petit, J, Pietrodangelo, A, Prati, P, Prevot, A, Quass, U, Querol, X, Saraga, D, Sciare, J, Sfetsos, A, Valli, G, Vecchi, R, Vestenius, M, Schuer, J, Turner, J, Paatero, P, Hopke, P, Belis, CA, Beddows, DCS, Harrison, RM, Nojgaard, JK, Petit, JE, Prevot, AH, Schuer, JJ, Turner, JR, Hopke, PK, PERRONE, MARIA GRAZIA, Karagulian, F, Belis, C, Amato, F, Beddows, D, Bernardoni, V, Carbone, S, Cesari, D, Cuccia, E, Contini, D, Favez, O, El Haddad, I, Harrison, R, Kammermeier, T, Karl, M, Lucarelli, F, Nava, S, Nojgaard, J, Pandolfi, M, Perrone, M, Petit, J, Pietrodangelo, A, Prati, P, Prevot, A, Quass, U, Querol, X, Saraga, D, Sciare, J, Sfetsos, A, Valli, G, Vecchi, R, Vestenius, M, Schuer, J, Turner, J, Paatero, P, Hopke, P, Belis, CA, Beddows, DCS, Harrison, RM, Nojgaard, JK, Petit, JE, Prevot, AH, Schuer, JJ, Turner, JR, Hopke, PK, and PERRONE, MARIA GRAZIA

Published
2012

46. Sources for PM air pollution in the Po Plain, Italy: I. Critical comparison of methods for estimating biomass burning contributions to benzo(a)pyrene

Author

Belis, C, Cancelinha, J, Duane, M, Forcina, V, Pedroni, V, Passarella, R, Tanet, G, Douglas, K, Piazzalunga, A, Bolzacchini, E, Sangiorgi, G, Perrone, M, Ferrero, L, Fermo, P, Larsen, B, Belis, CA, Larsen, BR, PIAZZALUNGA, ANDREA, BOLZACCHINI, EZIO, SANGIORGI, GIORGIA MAURA LUISA, PERRONE, MARIA GRAZIA, FERRERO, LUCA, Belis, C, Cancelinha, J, Duane, M, Forcina, V, Pedroni, V, Passarella, R, Tanet, G, Douglas, K, Piazzalunga, A, Bolzacchini, E, Sangiorgi, G, Perrone, M, Ferrero, L, Fermo, P, Larsen, B, Belis, CA, Larsen, BR, PIAZZALUNGA, ANDREA, BOLZACCHINI, EZIO, SANGIORGI, GIORGIA MAURA LUISA, PERRONE, MARIA GRAZIA, and FERRERO, LUCA

Published
2011

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

Author

Piazzalunga, A, Belis, C, Bernardoni, V, Cazzuli, O, Fermo, P, Valli, G, Vecchi, R, PIAZZALUNGA, ANDREA, Vecchi, R., Piazzalunga, A, Belis, C, Bernardoni, V, Cazzuli, O, Fermo, P, Valli, G, Vecchi, R, PIAZZALUNGA, ANDREA, and Vecchi, R.

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). © 2011 Elsevier Ltd.

Published
2011

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