pollutant source

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Costabile, F., Gualtieri, M., Canepari, S., Tranfo, G., Consales, C., Grollino, M. G., et al. (2019). Evidence of association between aerosol properties and in-vitro cellular oxidative response to PM1, oxidative potential of PM2.5, a biomarker of RNA oxidation, and its dependency on combustion sources. Atmospheric Environment. http://doi.org/10.1016/j.atmosenv.2019.06.023
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Oduber, F., Calvo, A. I., Blanco-Alegre, C., Castro, A., Vega-Maray, A. M., Valencia-Barrera, R. M., et al. (2019). Links between recent trends in airborne pollen concentration, meteorological parameters and air pollutants. Agricultural And Forest Meteorology. http://doi.org/10.1016/j.agrformet.2018.09.023
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Graziosi, F., Arduini, J., Furlani, F., Giostra, U., Kuijpers, L. J. M., Montzka, S. A., et al. (2015). European emissions of HCFC-22 based on eleven years of high frequency atmospheric measurements and a Bayesian inversion method. Atmospheric Environment. http://doi.org/10.1016/j.atmosenv.2015.04.042
Graziosi, F., Arduini, J., Furlani, F., Giostra, U., Kuijpers, L. J. M., Montzka, S. A., et al. (2015). European emissions of HCFC-22 based on eleven years of high frequency atmospheric measurements and a Bayesian inversion method. Atmospheric Environment. http://doi.org/10.1016/j.atmosenv.2015.04.042
Cesari, D., Amato, F., Pandolfi, M., Alastuey, A., Querol, X., & Contini, D. (2016). An inter-comparison of PM10 source apportionment using PCA and PMF receptor models in three European sites. Environmental Science And Pollution Research. http://doi.org/10.1007/s11356-016-6599-z
Ricciardelli, I., Bacco, D., Rinaldi, M., Bonafè, G., Scotto, F., Trentini, A., et al. (2017). A three-year investigation of daily PM2.5 main chemical components in four sites: the routine measurement program of the Supersito Project (Po Valley, Italy). Atmospheric Environment. http://doi.org/10.1016/j.atmosenv.2016.12.052