Understanding summertime peroxyacetyl nitrate (PAN) formation and its relation to aerosol pollution: insights from high-resolution measurements and modeling
College of Chemistry, Chemical Engineering and Environment, Minnan Normal University, Zhangzhou 363000, China
Fujian Provincial Key Laboratory of Modern Analytical Science and Separation Technology, Minnan Normal University, Zhangzhou 363000, China
Fujian Province University Key Laboratory of Pollution Monitoring and Control, Minnan Normal University, Zhangzhou 363000, China
Naihua Chen
College of Chemistry, Chemical Engineering and Environment, Minnan Normal University, Zhangzhou 363000, China
Pingtan Environmental Monitoring Center of Fujian, Fuzhou, Pingtan 350400, China
Rui Li
Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Science, East China Normal University, Shanghai 200241, China
Mingqiang Huang
College of Chemistry, Chemical Engineering and Environment, Minnan Normal University, Zhangzhou 363000, China
Fujian Provincial Key Laboratory of Modern Analytical Science and Separation Technology, Minnan Normal University, Zhangzhou 363000, China
Fujian Province University Key Laboratory of Pollution Monitoring and Control, Minnan Normal University, Zhangzhou 363000, China
Box modeling with the Master Chemical Mechanism (MCM) was used to explore summertime peroxyacetyl nitrate (PAN) formation and its link to aerosol pollution under high-ozone conditions. The MCM model is effective in the study of PAN photochemical formation and performed better during the clean period than the haze period. Machine learning analysis identified ammonia, nitrate, and fine particulate matter as the top three factors contributing to simulation bias.
Box modeling with the Master Chemical Mechanism (MCM) was used to explore summertime...