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Items: 5

1.

Estimating Daily PM2.5 and PM10 over Italy Using an Ensemble Model.

Shtein A, Kloog I, Schwartz J, Silibello C, Michelozzi P, Gariazzo C, Viegi G, Forastiere F, Karnieli A, Just AC, Stafoggia M.

Environ Sci Technol. 2019 Dec 10. doi: 10.1021/acs.est.9b04279. [Epub ahead of print]

PMID:
31749355
2.

Anthropogenic or non-anthropogenic particulate matter: Which one is more dangerous and how to differentiate between the effects?

Novack L, Shenkar Y, Shtein A, Kloog I, Sarov B, Novack V.

Chemosphere. 2020 Feb;240:124954. doi: 10.1016/j.chemosphere.2019.124954. Epub 2019 Sep 26.

PMID:
31726583
3.

Predicting Fine-Scale Daily NO2 for 2005-2016 Incorporating OMI Satellite Data Across Switzerland.

de Hoogh K, Saucy A, Shtein A, Schwartz J, West EA, Strassmann A, Puhan M, Röösli M, Stafoggia M, Kloog I.

Environ Sci Technol. 2019 Sep 3;53(17):10279-10287. doi: 10.1021/acs.est.9b03107. Epub 2019 Aug 15.

PMID:
31415154
4.

Correcting Measurement Error in Satellite Aerosol Optical Depth with Machine Learning for Modeling PM2.5 in the Northeastern USA.

Just AC, De Carli MM, Shtein A, Dorman M, Lyapustin A, Kloog I.

Remote Sens (Basel). 2018 May;10(5). pii: 803. doi: 10.3390/rs10050803. Epub 2018 May 22.

5.

Estimation of daily PM10 and PM2.5 concentrations in Italy, 2013-2015, using a spatiotemporal land-use random-forest model.

Stafoggia M, Bellander T, Bucci S, Davoli M, de Hoogh K, De' Donato F, Gariazzo C, Lyapustin A, Michelozzi P, Renzi M, Scortichini M, Shtein A, Viegi G, Kloog I, Schwartz J.

Environ Int. 2019 Mar;124:170-179. doi: 10.1016/j.envint.2019.01.016. Epub 2019 Jan 14.

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