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A 1-year aerosol chemical speciation monitor (ACSM) source analysis of organic aerosol particle contributions from anthropogenic sources after long-range transport at the TROPOS research station Melpitz
Atabakhsh, S., Poulain, L., Chen, G., Canonaco, F., Prévôt, A. S. H., Pöhlker, M., … Herrmann, H. (2023). A 1-year aerosol chemical speciation monitor (ACSM) source analysis of organic aerosol particle contributions from anthropogenic sources after long-range transport at the TROPOS research station Melpitz. Atmospheric Chemistry and Physics, 23(12), 6963-6988. https://doi.org/10.5194/acp-23-6963-2023
Investigation of four-year chemical composition and organic aerosol sources of submicron particles at the ATOLL site in northern France
Chebaicheb, H., F. de Brito, J., Chen, G., Tison, E., Marchand, C., Prévôt, A. S. H., … Riffault, V. (2023). Investigation of four-year chemical composition and organic aerosol sources of submicron particles at the ATOLL site in northern France. Environmental Pollution, 330, 121805 (10 pp.). https://doi.org/10.1016/j.envpol.2023.121805
European aerosol phenomenology - 8: harmonised source apportionment of organic aerosol using 22 year-long ACSM/AMS datasets
Chen, G., Canonaco, F., Tobler, A., Aas, W., Alastuey, A., Allan, J., … Prévôt, A. S. H. (2022). European aerosol phenomenology - 8: harmonised source apportionment of organic aerosol using 22 year-long ACSM/AMS datasets. Environment International, 166, 107325 (18 pp.). https://doi.org/10.1016/j.envint.2022.107325
Real-time source apportionment of organic aerosols in three European cities
Chen, G., Canonaco, F., Slowik, J. G., Daellenbach, K. R., Tobler, A., Petit, J. E., … Prévôt, A. S. H. (2022). Real-time source apportionment of organic aerosols in three European cities. Environmental Science and Technology, 56(22), 15290-15297. https://doi.org/10.1021/acs.est.2c02509
Source identification of the elemental fraction of particulate matter using size segregated, highly time-resolved data and an optimized source apportionment approach
Manousakas, M., Furger, M., Daellenbach, K. R., Canonaco, F., Chen, G., Tobler, A., … Prevot, A. S. H. (2022). Source identification of the elemental fraction of particulate matter using size segregated, highly time-resolved data and an optimized source apportionment approach. Atmospheric Environment: X, 14, 100165 (15 pp.). https://doi.org/10.1016/j.aeaoa.2022.100165
<em>Rolling </em>vs. <em>seasonal </em>PMF: real-world multi-site and synthetic dataset comparison
Via, M., Chen, G., Canonaco, F., Daellenbach, K. R., Chazeau, B., Chebaicheb, H., … Cruz Minguillón, M. (2022). Rolling vs. seasonal PMF: real-world multi-site and synthetic dataset comparison. Atmospheric Measurement Techniques, 15(18), 5479-5495. https://doi.org/10.5194/amt-15-5479-2022
Combined organic and inorganic source apportionment on yearlong ToF-ACSM dataset at a suburban station in Athens
Zografou, O., Gini, M., Manousakas, M. I., Chen, G., Kalogridis, A. C., Diapouli, E., … Eleftheriadis, K. (2022). Combined organic and inorganic source apportionment on yearlong ToF-ACSM dataset at a suburban station in Athens. Atmospheric Measurement Techniques, 15(16), 4675-4692. https://doi.org/10.5194/amt-15-4675-2022
A new method for long-term source apportionment with time-dependent factor profiles and uncertainty assessment using SoFi Pro: application to 1 year of organic aerosol data
Canonaco, F., Tobler, A., Chen, G., Sosedova, Y., Slowik, J. G., Bozzetti, C., … Prévôt, A. S. H. (2021). A new method for long-term source apportionment with time-dependent factor profiles and uncertainty assessment using SoFi Pro: application to 1 year of organic aerosol data. Atmospheric Measurement Techniques, 14(2), 923-943. https://doi.org/10.5194/amt-14-923-2021
Time-dependent source apportionment of submicron organic aerosol for a rural site in an alpine valley using a rolling positive matrix factorisation (PMF) window
Chen, G., Sosedova, Y., Canonaco, F., Fröhlich, R., Tobler, A., Vlachou, A., … Prévôt, A. S. H. (2021). Time-dependent source apportionment of submicron organic aerosol for a rural site in an alpine valley using a rolling positive matrix factorisation (PMF) window. Atmospheric Chemistry and Physics, 21(19), 15081-15101. https://doi.org/10.5194/acp-21-15081-2021
Eight years of sub-micrometre organic aerosol composition data from the boreal forest characterized using a machine-learning approach
Heikkinen, L., Äijälä, M., Daellenbach, K. R., Chen, G., Garmash, O., Aliaga, D., … Ehn, M. (2021). Eight years of sub-micrometre organic aerosol composition data from the boreal forest characterized using a machine-learning approach. Atmospheric Chemistry and Physics, 21(13), 10081-10109. https://doi.org/10.5194/acp-21-10081-2021
Characterization of non-refractory (NR) PM<sub>1</sub> and source apportionment of organic aerosol in Kraków, Poland
Tobler, A. K., Skiba, A., Canonaco, F., Močnik, G., Rai, P., Chen, G., … Prevot, A. S. H. (2021). Characterization of non-refractory (NR) PM1 and source apportionment of organic aerosol in Kraków, Poland. Atmospheric Chemistry and Physics, 21(19), 14893-14906. https://doi.org/10.5194/acp-21-14893-2021
Improved method for the optical analysis of particulate black carbon (BC) using smartphones
Chen, G., Wang, Q., Fan, Y., Han, Y., Wang, Y., Urch, B., … Chan, A. W. H. (2020). Improved method for the optical analysis of particulate black carbon (BC) using smartphones. Atmospheric Environment, 224, 117291 (9 pp.). https://doi.org/10.1016/j.atmosenv.2020.117291