Articles | Volume 15, issue 5
https://doi.org/10.5194/amt-15-1511-2022
https://doi.org/10.5194/amt-15-1511-2022
Research article
 | 
16 Mar 2022
Research article |  | 16 Mar 2022

Ozone formation sensitivity study using machine learning coupled with the reactivity of volatile organic compound species

Junlei Zhan, Yongchun Liu, Wei Ma, Xin Zhang, Xuezhong Wang, Fang Bi, Yujie Zhang, Zhenhai Wu, and Hong Li

Related authors

Iodine oxoacids and their roles in sub-3 nanometer particle growth in polluted urban environments
Ying Zhang, Duzitian Li, Xu-Cheng He, Wei Nie, Chenjuan Deng, Runlong Cai, Yuliang Liu, Yishuo Guo, Chong Liu, Yiran Li, Liangduo Chen, Yuanyuan Li, Chenjie Hua, Tingyu Liu, Zongcheng Wang, Lei Wang, Tuukka Petäjä, Federico Bianchi, Ximeng Qi, Xuguang Chi, Pauli Paasonen, Yongchun Liu, Chao Yan, Jingkun Jiang, Aijun Ding, and Markku Kulmala
EGUsphere, https://doi.org/10.5194/egusphere-2023-311,https://doi.org/10.5194/egusphere-2023-311, 2023
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Effects of long-range transport of air pollutants on nitrogenous organic matters in mountain background region of Southeast China: Sources and influencing factors identified by observation and modal calculation
Yanqin Ren, Gehui Wang, Jie Wei, Jun Tao, Zhisheng Zhang, and Hong Li
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2022-757,https://doi.org/10.5194/acp-2022-757, 2023
Preprint under review for ACP
Short summary
Comprehensive simulations of new particle formation events in Beijing with a cluster dynamics-multicomponent sectional model
Chenxi Li, Yuyang Li, Xiaoxiao Li, Runlong Cai, Yaxin Fan, Xiaohui Qiao, Rujing Yin, Chao Yan, Yishuo Guo, Yongchun Liu, Jun Zheng, Veli-Matti Kerminen, Markku Kulmala, Huayun Xiao, and Jingkun Jiang
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2022-748,https://doi.org/10.5194/acp-2022-748, 2023
Preprint under review for ACP
Short summary
Measurement report: Size distributions of urban aerosols down to 1 nm from long-term measurements
Chenjuan Deng, Yiran Li, Chao Yan, Jin Wu, Runlong Cai, Dongbin Wang, Yongchun Liu, Juha Kangasluoma, Veli-Matti Kerminen, Markku Kulmala, and Jingkun Jiang
Atmos. Chem. Phys., 22, 13569–13580, https://doi.org/10.5194/acp-22-13569-2022,https://doi.org/10.5194/acp-22-13569-2022, 2022
Short summary
Measurement Report: Year-to-year Variability and Influence of Winter Olympics and other Special Events on Air Quality in Urban Beijing during Wintertime
Yishuo Guo, Chenjuan Deng, Aino Ovaska, Feixue Zheng, Chenjie Hua, Junlei Zhan, Yiran Li, Jin Wu, Zongcheng Wang, Jiali Xie, Ying Zhang, Tingyu Liu, Yusheng Zhang, Boying Song, Wei Ma, Yongchun Liu, Chao Yan, Jingkun Jiang, Veli-Matti Kerminen, Men Xia, Tuomo Nieminen, Wei Du, Tom Kokkonen, and Markku Kulmala
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2022-565,https://doi.org/10.5194/acp-2022-565, 2022
Preprint under review for ACP
Short summary

Related subject area

Subject: Gases | Technique: In Situ Measurement | Topic: Validation and Intercomparisons
Intercomparison of commercial analyzers for atmospheric ethane and methane observations
Róisín Commane, Andrew Hallward-Driemeier, and Lee T. Murray
Atmos. Meas. Tech., 16, 1431–1441, https://doi.org/10.5194/amt-16-1431-2023,https://doi.org/10.5194/amt-16-1431-2023, 2023
Short summary
Real-time measurement of phase partitioning of organic compounds using a proton-transfer-reaction time-of-flight mass spectrometer coupled to a CHARON inlet
Yarong Peng, Hongli Wang, Yaqin Gao, Shengao Jing, Shuhui Zhu, Dandan Huang, Peizhi Hao, Shengrong Lou, Tiantao Cheng, Cheng Huang, and Xuan Zhang
Atmos. Meas. Tech., 16, 15–28, https://doi.org/10.5194/amt-16-15-2023,https://doi.org/10.5194/amt-16-15-2023, 2023
Short summary
Comparison of atmospheric CO, CO2 and CH4 measurements at Schneefernerhaus and the mountain ridge at Zugspitze
Antje Hoheisel, Cedric Couret, Bryan Hellack, and Martina Schmidt
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-298,https://doi.org/10.5194/amt-2022-298, 2022
Revised manuscript accepted for AMT
Short summary
A quantitative comparison of methods used to measure smaller methane emissions typically observed from superannuated oil and gas infrastructure
Stuart N. Riddick, Riley Ancona, Mercy Mbua, Clay S. Bell, Aidan Duggan, Timothy L. Vaughn, Kristine Bennett, and Daniel J. Zimmerle
Atmos. Meas. Tech., 15, 6285–6296, https://doi.org/10.5194/amt-15-6285-2022,https://doi.org/10.5194/amt-15-6285-2022, 2022
Short summary
Comparing airborne algorithms for greenhouse gas flux measurements over the Alberta oil sands
Broghan M. Erland, Cristen Adams, Andrea Darlington, Mackenzie L. Smith, Andrew K. Thorpe, Gregory R. Wentworth, Steve Conley, John Liggio, Shao-Meng Li, Charles E. Miller, and John A. Gamon
Atmos. Meas. Tech., 15, 5841–5859, https://doi.org/10.5194/amt-15-5841-2022,https://doi.org/10.5194/amt-15-5841-2022, 2022
Short summary

Cited articles

Breiman, L.: Random Forests, Mach. Learn., 45, 5–32, https://doi.org/10.1023/A:1010933404324, 2001. 
Carter, W.: Updated maximum incremental reactivity scale and hydrocarbon bin reactivities for regulatory applications, California Air Resources Board Contract 07-339, 2010. 
Copernicus: https://www.copernicus.eu/en, last access: 4 March 2022. 
di Carlo, P., Brune, W. H., Martinez, M., Harder, H., Lesher, R., Ren, X., Thornberry, T., Carroll, M. A., Young, V., Shepson, P. B., Riemer, D., Apel, E., and Campbell, C.: Missing OH Reactivity in a Forest: Evidence for Unknown Reactive Biogenic VOCs, Science, 304, 722–725, https://doi.org/10.1126/science.1094392, 2004. 
Download
Short summary
Our study investigated the O3 formation sensitivity in Beijing using a random forest model coupled with the reactivity of volatile organic compound (VOC) species. Results found that random forest accurately predicted O3 concentration when initial VOCs were considered, and relative importance correlated well with O3 formation potential. The O3 isopleth curves calculated by the random forest model were generally comparable with those calculated by the box model.