Explainable Machine Learning Reveals the Unknown Sources of Atmospheric HONO during COVID-19

Author:

Gao Zhiwei12,Wang Yue12,Gligorovski Sasho345ORCID,Xue Chaoyang6ORCID,Deng LingLing12,Li Rui12ORCID,Duan Yusen7,Yin Shan89ORCID,Zhang Lin10ORCID,Zhang Qianqian11ORCID,Wu Dianming1212ORCID

Affiliation:

1. School of Geographical Sciences, East China Normal University, Key Laboratory of Geographic Information Sciences, Ministry of Education, Shanghai 200241, China

2. Institute of Eco-Chongming (IEC), Shanghai 202162, China

3. State Key Laboratory of Organic Geochemistry and Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China

4. Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control, Guangzhou Institute of Geochemistry, Chinese Academy of Science, Guangzhou, 510640, China

5. Center for Excellence in Deep Earth Science, Chinese Academy of Science, Guangzhou, 510640, China

6. Max Planck Institute for Chemistry, Mainz 55128, Germany

7. Shanghai Environmental Monitoring Center, Shanghai 200235, China

8. Shanghai Yangtze River Delta Eco-Environmental Change and Management Observation and Research Station, Ministry of Science and Technology, Shanghai 200240, China

9. Shanghai Urban Forest Ecosystem Research Station, National Forestry and Grassland Administration, Shanghai 200240, China

10. Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China

11. National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China

12. State Key Laboratory of Atmospheric Boundary Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China

Funder

National Key Research and Development Program of China

Science and Technology Commission of Shanghai Municipality

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry

Publisher

American Chemical Society (ACS)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3