Lyapustin A - Search Results

1

Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty.

van Donkelaar A, Hammer MS, Bindle L, Brauer M, Brook JR, Garay MJ, Hsu NC, Kalashnikova OV, Kahn RA, Lee C, Levy RC, Lyapustin A, Sayer AM, Martin RV. van Donkelaar A, et al. Among authors: lyapustin a. Environ Sci Technol. 2021 Nov 16;55(22):15287-15300. doi: 10.1021/acs.est.1c05309. Epub 2021 Nov 1. Environ Sci Technol. 2021. PMID: 34724610 Free article.

2

Using High-Resolution Satellite Aerosol Optical Depth To Estimate Daily PM2.5 Geographical Distribution in Mexico City.

Just AC, Wright RO, Schwartz J, Coull BA, Baccarelli AA, Tellez-Rojo MM, Moody E, Wang Y, Lyapustin A, Kloog I. Just AC, et al. Among authors: lyapustin a. Environ Sci Technol. 2015 Jul 21;49(14):8576-84. doi: 10.1021/acs.est.5b00859. Epub 2015 Jun 26. Environ Sci Technol. 2015. PMID: 26061488 Free PMC article.

3

Spatiotemporal prediction of fine particulate matter using high-resolution satellite images in the Southeastern US 2003-2011.

Lee M, Kloog I, Chudnovsky A, Lyapustin A, Wang Y, Melly S, Coull B, Koutrakis P, Schwartz J. Lee M, et al. Among authors: lyapustin a. J Expo Sci Environ Epidemiol. 2016 Jun;26(4):377-84. doi: 10.1038/jes.2015.41. Epub 2015 Jun 17. J Expo Sci Environ Epidemiol. 2016. PMID: 26082149 Free PMC article.

4

Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors.

van Donkelaar A, Martin RV, Brauer M, Hsu NC, Kahn RA, Levy RC, Lyapustin A, Sayer AM, Winker DM. van Donkelaar A, et al. Among authors: lyapustin a. Environ Sci Technol. 2016 Apr 5;50(7):3762-72. doi: 10.1021/acs.est.5b05833. Epub 2016 Mar 24. Environ Sci Technol. 2016. PMID: 26953851

5

Assessing PM2.5 Exposures with High Spatiotemporal Resolution across the Continental United States.

Di Q, Kloog I, Koutrakis P, Lyapustin A, Wang Y, Schwartz J. Di Q, et al. Among authors: lyapustin a. Environ Sci Technol. 2016 May 3;50(9):4712-21. doi: 10.1021/acs.est.5b06121. Epub 2016 Apr 22. Environ Sci Technol. 2016. PMID: 27023334 Free PMC article.

6

Monthly analysis of PM ratio characteristics and its relation to AOD.

Sorek-Hamer M, Broday DM, Chatfield R, Esswein R, Stafoggia M, Lepeule J, Lyapustin A, Kloog I. Sorek-Hamer M, et al. Among authors: lyapustin a. J Air Waste Manag Assoc. 2017 Jan;67(1):27-38. doi: 10.1080/10962247.2016.1208121. J Air Waste Manag Assoc. 2017. PMID: 27589199

7

Developing particle emission inventories using remote sensing (PEIRS).

Tang CH, Coull BA, Schwartz J, Lyapustin AI, Di Q, Koutrakis P. Tang CH, et al. Among authors: lyapustin ai. J Air Waste Manag Assoc. 2017 Jan;67(1):53-63. doi: 10.1080/10962247.2016.1214630. J Air Waste Manag Assoc. 2017. PMID: 27653469 Free PMC article.

8

MAIAC-based long-term spatiotemporal trends of PM_2.5 in Beijing, China.

Liang F, Xiao Q, Wang Y, Lyapustin A, Li G, Gu D, Pan X, Liu Y. Liang F, et al. Among authors: lyapustin a. Sci Total Environ. 2018 Mar;616-617:1589-1598. doi: 10.1016/j.scitotenv.2017.10.155. Epub 2017 Oct 19. Sci Total Environ. 2018. PMID: 29055576

9

The Potential Impact of Satellite-Retrieved Cloud Parameters on Ground-Level PM_2.5 Mass and Composition.

Belle JH, Chang HH, Wang Y, Hu X, Lyapustin A, Liu Y. Belle JH, et al. Among authors: lyapustin a. Int J Environ Res Public Health. 2017 Oct 18;14(10):1244. doi: 10.3390/ijerph14101244. Int J Environ Res Public Health. 2017. PMID: 29057838 Free PMC article.

10

Predicting monthly high-resolution PM_2.5 concentrations with random forest model in the North China Plain.

Huang K, Xiao Q, Meng X, Geng G, Wang Y, Lyapustin A, Gu D, Liu Y. Huang K, et al. Among authors: lyapustin a. Environ Pollut. 2018 Nov;242(Pt A):675-683. doi: 10.1016/j.envpol.2018.07.016. Epub 2018 Jul 11. Environ Pollut. 2018. PMID: 30025341 Free PMC article.

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