industrial emission

Belis, C. A., Pernigotti, D., Pirovano, G., Favez, O., Jaffrezo, J. L., Kuenen, J., et al. (2020). Evaluation of receptor and chemical transport models for PM10 source apportionment. Atmospheric Environment: X. http://doi.org/10.1016/j.aeaoa.2019.100053
Mangia, C., Cervino, M., Russo, A., Singer, S., & Gianicolo, E. A. L. (2020). Effectiveness of an air quality intervention: an accountability study in a highly polluted industrial town. Air Quality, Atmosphere And Health. http://doi.org/10.1007/s11869-019-00783-9
Petroselli, C., Moroni, B., Crocchianti, S., Selvaggi, R., Vivani, R., Soggia, F., et al. (2018). Iron speciation of natural and anthropogenic dust by spectroscopic and chemical methods. Atmosphere. http://doi.org/10.3390/atmos10010008
Mangia, C., Bisignano, A., Cervino, M., Mortarini, L., & Castelli, T. (2019). Modeling air quality impact of pollutants emitted by an oil/gas plant in complex terrain in view of a health impact assessment. Air Quality, Atmosphere And Health. http://doi.org/10.1007/s11869-019-00675-y
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