Source apportionment

Belis, C. A., Karagulian, F., Amato, F., Almeida, M., Artaxo, P., Beddows, D. C. S., et al. (2015). A new methodology to assess the performance and uncertainty of source apportionment models II: The results of two European intercomparison exercises. Atmospheric Environment. http://doi.org/10.1016/j.atmosenv.2015.10.068

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Cesari, D., Donateo, A., Conte, M., Merico, E., Giangreco, A., Giangreco, F., & Contini, D. (2016). An inter-comparison of PM2.5 at urban and urban background sites: Chemical characterization and source apportionment. Atmospheric Research. http://doi.org/10.1016/j.atmosres.2016.02.004

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Cesari, D., De Benedetto, G. E., Bonasoni, P., Busetto, M., Dinoi, A., Merico, E., et al. (2018). Seasonal variability of PM2.5 and PM10 composition and sources in an urban background site in Southern Italy. Science Of The Total Environment. http://doi.org/10.1016/j.scitotenv.2017.08.230

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Cesari, D., Donateo, A., Conte, M., & Contini, D. (2016). Inter-comparison of source apportionment of PM10 using PMF and CMB in three sites nearby an industrial area in central Italy. Atmospheric Research. http://doi.org/10.1016/j.atmosres.2016.08.003

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Cesari, D., Donateo, A., Conte, M., & Contini, D. (2016). Inter-comparison of source apportionment of PM10 using PMF and CMB in three sites nearby an industrial area in central Italy. Atmospheric Research. http://doi.org/10.1016/j.atmosres.2016.08.003

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Contini, D., Cesari, D., Conte, M., & Donateo, A. (2016). Application of PMF and CMB receptor models for the evaluation of the contribution of a large coal-fired power plant to PM10 concentrations. Science Of The Total Environment. http://doi.org/10.1016/j.scitotenv.2016.04.031

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