Deep Learning for Prediction of the Air Quality Response to Emission Changes

Author:

Xing Jia12ORCID,Zheng Shuxin3,Ding Dian12,Kelly James T.4,Wang Shuxiao12ORCID,Li Siwei5,Qin Tao3,Ma Mingyuan6,Dong Zhaoxin12,Jang Carey4,Zhu Yun7,Zheng Haotian12,Ren Lu12,Liu Tie-Yan3,Hao Jiming12

Affiliation:

1. State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China

2. State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China

3. Microsoft Research Asia, Beijing 100080, China

4. Office of Air Quality Planning and Standards, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711, United States

5. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

6. School of Electronics Engineering and Computer Science, Peking University, Beijing 100084, China

7. College of Environment and Energy, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China

Funder

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

National Natural Science Foundation of China

MSRA

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

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