Obtaining vertical distribution of PM2.5 from CALIOP data and machine learning algorithms-Reference-Cited by-同舟云学术

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Obtaining vertical distribution of PM2.5 from CALIOP data and machine learning algorithms

Published:2022-01 Issue: Volume:805 Page:150338
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Chen Bin,Song Zhihao,Pan Feng,Huang Yue

Funder

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference96 articles.

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2. Impact of the mixing boundary layer on the relationship between PM2.5 and aerosol optical thickness;Boyouk;Atmos. Environ.,2010

3. Ambient air pollution exposure estimation for the global burden of disease 2013;Brauer;Environ. Sci. Technol.,2016

4. Evaluation of the surface PM2.5 in version 1 of the NASA MERRA aerosol reanalysis over the United States;Buchard;Atmos. Environ.,2016

5. Letter to the editor: stability of Random Forest importance measures;Calle;Brief. Bioinform.,2011

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