New Insights on the Formation of Nucleation Mode Particles in a Coastal City Based on a Machine Learning Approach

Author:

Yang Chen123,Dong Hesong34,Chen Yuping123,Xu Lingling12,Chen Gaojie123,Fan Xiaolong12,Wang Yonghong5ORCID,Tham Yee Jun6ORCID,Lin Ziyi123,Li Mengren12,Hong Youwei12,Chen Jinsheng12ORCID

Affiliation:

1. Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, People’s Republic of China

2. Fujian Key Laboratory of Atmospheric Ozone Pollution Prevention, Chinese Academy of Sciences, Xiamen, Fujian 361021, People’s Republic of China

3. University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China

4. Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, People’s Republic of China

5. State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, People’s Republic of China

6. School of Marine Sciences, Sun Yat-sen University, Zhuhai, Guangdong 519082, People’s Republic of China

Funder

Sun Yat-sen University

Fujian Provincial Department of Science and Technology

National Key Research and Development Program of China

National Natural Science Foundation of China

Xiamen Atmospheric Environment Observation and Research Station of Fujian Province

Fujian Key Laboratory of Atmospheric Ozone Pollution Prevention

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

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