Machine learning and theoretical analysis release the non-linear relationship among ozone, secondary organic aerosol and volatile organic compounds-Reference-Cited by-同舟云学术

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Machine learning and theoretical analysis release the non-linear relationship among ozone, secondary organic aerosol and volatile organic compounds

Published:2022-04 Issue: Volume:114 Page:75-84
ISSN:1001-0742
Container-title:Journal of Environmental Sciences
language:en
Short-container-title:Journal of Environmental Sciences

Author:

Wang Feng,Zhang Zhongcheng,Wang Gen,Wang Zhenyu,Li Mei,Liang Weiqing,Gao Jie,Wang Wei,Chen Da,Feng Yinchang,Shi Guoliang

Publisher

Elsevier BV

Subject

General Environmental Science,General Medicine,Environmental Chemistry,Environmental Engineering

Reference55 articles.

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2. Relationships between particulate matter, ozone, and nitrogen oxides during urban smoke events in the Western US;Buysse;Environ. Sci. Technol.,2019

3. An observation-based model for analyzing ozone precursor relationships in the urban atmosphere;Cardelino;J. Air Waste Manag. Assoc.,1995

4. Development of a condensed SAPRC-07 chemical mechanism;Carter;Atmos. Environ.,2010

5. Characteristics of ozone and particles in the near-surface atmosphere in the urban area of the Yangtze River Delta, China;Chen;Atmos. Chem. Phys.,2019

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