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

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

Wang, F; Zhang, ZC; Wang, G; Wang, ZY; Li, M; Liang, WQ; Gao, J; Wang, W; Chen, D; Feng, YC; Shi, GL

Shi, GL (通讯作者)，Nankai Univ, Coll Environm Sci & Engn, State Environm Protect Key Lab Urban Ambient Air, Tianjin Key Lab Urban Transport Emiss Res, Tianjin 300350, Peoples R China.;Shi, GL (通讯作者)，Nankai Univ, Coll Environm Sci & Engn, CMA NKU Cooperat Lab Atmospher Environm Hlth Res, Tianjin 300350, Peoples R China.;Wang, W (通讯作者)，Nankai Univ, Coll Comp Sci, Trusted AI Syst Lab, Tianjin 300350, Peoples R China.

Abstract

Fine particulate matter (PM2.5) and ozone (O-3) pollutions are prevalent air quality issues in China. Volatile organic compounds (VOCs) have significa......

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

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