Projected Aerosol Changes Driven by Emissions and Climate Change Using a Machine Learning Method-Reference-Cited by-同舟云学术

Projected Aerosol Changes Driven by Emissions and Climate Change Using a Machine Learning Method

Published:2022-03-16 Issue:7 Volume:56 Page:3884-3893
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Li Huimin¹^ORCID,Yang Yang¹^ORCID,Wang Hailong²^ORCID,Wang Pinya¹,Yue Xu¹^ORCID,Liao Hong¹

Affiliation:

1. Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China

2. Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States

Funder

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

Office of Science

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.1c04380

Reference65 articles.