theoretical model

Mangia, C., Cervino, M., & Gianicolo, E. A. L. (2019). The Manfredonia case 40 years after: Measurements and modelling of arsenic deposition [Il caso Manfredonia 40 anni dopo: Misure e modellazione della deposizione di arsenico]. Epidemiologia E Prevenzione. http://doi.org/10.19191/EP19.1.P76.024
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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
View
Oteros, J., García-Mozo, H., Alcázar, P., Belmonte, J., Bermejo, D., Boi, M., et al. (2015). A new method for determining the sources of airborne particles. Journal Of Environmental Management. http://doi.org/10.1016/j.jenvman.2015.03.037
View
Bokhorst, S., Pedersen, S. H., Brucker, L., Anisimov, O., Bjerke, J. W., Brown, R. D., et al. (2016). Changing Arctic snow cover: A review of recent developments and assessment of future needs for observations, modelling, and impacts. Ambio. http://doi.org/10.1007/s13280-016-0770-0
View
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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