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Estimation of daily PM10 and PM2.5 concentrations in Italy, 2013–2015, using a spatiotemporal land-use random-forest model (2019)
https://www.sciencedirect.com/science/article/pii/S0160412018327685

Recurrent Neural Network and random forest for analysis and accurate forecast of atmospheric pollutants A case study in Hangzhou, China (2019)
https://www.sciencedirect.com/science/article/pii/S0959652619318554?casa_token=jPKcMWRdWLIAAAAA:dhBDmI5XTxdWLWujpYGvupwAAOPKocn1BuODZPpNPfchIfESeNBc4akSQRkeY1QyiATKBG-3Uw

Secondary organic aerosol of PM2.5 in a mountainous forest area in southeastern China Molecular compositions and tracers implication (2019)
https://www.sciencedirect.com/science/article/pii/S0048969718342694?casa_token=tMVRgcytiLMAAAAA:zzd6abUOeQRS5bZ4w60AfppwFcIAfB9GEdw7VhRYmqMGd-RlfO3qjaFnR1-YvjS_YW5g-UDAFA

 
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Cuba, N. I., Torres, R., San Roman, E., & Lagorio, M. G. (2020). Influence of Surface Structure, Pigmentation and Particulate Matter on Plant Reflectance and Fluorescence.Photochemistry and Photobiology. https://onlinelibrary.wiley.com/doi/abs/10.1111/php.13273?casa_token=YCSXURBuKKkAAAAA:Lm1..
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1.Loewenstein, N. J., & Pallardy, S. G. (1998). Drought tolerance, xylem sap abscisic acid and stomatal conductance during soil drying: a comparison of canopy trees of three temperate deciduous angiosperms.Tree Physiology,18(7), 431-439. https://doi.org/10.1093/treephys/18.7.431 2.Dzier..