Combining Machine Learning and Numerical Simulation for High-Resolution PM<sub>2.5</sub> Concentration Forecast-Reference-Cited by-同舟云学术

Combining Machine Learning and Numerical Simulation for High-Resolution PM_2.5 Concentration Forecast

Published:2022-01-12 Issue:3 Volume:56 Page:1544-1556
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Bi Jianzhao¹^ORCID,Knowland K. Emma²³,Keller Christoph A.²³,Liu Yang⁴^ORCID

Affiliation:

1. Department of Environmental & Occupational Health Sciences, University of Washington, 4225 Roosevelt Way NE, Seattle, Washington 98105, United States

2. NASA Goddard Space Flight Center, Global Modeling and Assimilation Office, Greenbelt, Maryland 20771, United States

3. Universities Space Research Association/Goddard Earth Science Technology & Research (GESTAR), Columbia, Maryland 21046, United States

4. Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, Georgia 30322, United States

Funder

National Aeronautics and Space Administration

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.1c05578

Reference51 articles.

1. Cardiovascular effects of air pollution

2. Systematic review and meta-analysis of the adverse health effects of ambient PM2.5 and PM10 pollution in the Chinese population

3. Global PM2.5-attributable health burden from 1990 to 2017: Estimates from the Global Burden of disease study 2017