Articles | Volume 24, issue 15
https://doi.org/10.5194/acp-24-8549-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-8549-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Characteristics and sources of nonmethane volatile organic compounds (NMVOCs) and O3–NOx–NMVOC relationships in Zhengzhou, China
Dong Zhang
College of Chemistry, Zhengzhou University, Zhengzhou, 450001, China
Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China
Xiao Li
School of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China
Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China
Minghao Yuan
Environmental Protection Monitoring Center Station of Zhengzhou, Zhengzhou, 450007, China
Yifei Xu
Environmental Protection Monitoring Center Station of Zhengzhou, Zhengzhou, 450007, China
Qixiang Xu
School of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China
Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China
Fangcheng Su
School of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China
Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China
Shenbo Wang
School of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China
Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China
Ruiqin Zhang
CORRESPONDING AUTHOR
School of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China
Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China
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Cited
13 citations as recorded by crossref.
- The variations in volatile organic compounds based on the policy change for Omicron in the traffic hub of Zhengzhou B. Zhang et al. https://doi.org/10.5194/acp-24-13587-2024
- Aromatic hydrocarbons during ozone episode in the Pearl River Delta region, China: Insight into ozone control strategies W. Yang et al. https://doi.org/10.1016/j.envpol.2025.126648
- Meteorological regime controls on PM2.5 and O3 variability in the Sichuan Basin: insights from a hybrid causal-machine learning analysis Y. Du et al. https://doi.org/10.1016/j.atmosenv.2026.122244
- First global twice-daily ozone profiles from Chinese UV–vis satellites via synergistic spectral calibration and retrieval X. Wang et al. https://doi.org/10.1016/j.rse.2025.115106
- Patterns and impact of volatile organic compounds on ozone and secondary organic aerosol formation: implications for air pollution in Upper Southeast Asia W. Tala et al. https://doi.org/10.1016/j.hazadv.2025.100762
- Analysis and prediction of atmospheric ozone concentrations using machine learning S. Räss & M. Leuenberger https://doi.org/10.3389/fdata.2024.1469809
- Insights into the source characterization, risk assessment and ozone formation sensitivity of ambient VOCs at an urban site in the Fenwei Plain, China H. Zhang et al. https://doi.org/10.1016/j.jhazmat.2024.136721
- Spatially resolved analysis of speciated VOC emissions and their contributions to secondary pollutant formation: a comparative assessment of anthropogenic and biogenic sources in China Y. Wang et al. https://doi.org/10.1016/j.envint.2025.109627
- Quantifying source-specific formaldehyde contributions to photochemical oxidant formation in a highly polluted Chinese megacity Y. Zhang et al. https://doi.org/10.1016/j.atmosenv.2025.121762
- Mechanisms of ozone formation in heavily polluted cities using interpretable machine learning B. Sun et al. https://doi.org/10.1016/j.uclim.2026.102954
- Toward an Event-Based and Quality-Assured Air Sampling: A Portable System for Sensing and Sampling Volatile Organic Compounds T. Mayer et al. https://doi.org/10.1021/acs.analchem.5c03799
- Life-cycle assessment and sustainable supply potential of charcoal for low-emission silicomanganese production in Gabon M. Werra et al. https://doi.org/10.1016/j.resconrec.2026.108858
- Unraveling the formation and precursor sensitivity of peroxyacetyl nitrate (PAN) in urban photochemical pollution: A case study of Zhengzhou D. Zhang et al. https://doi.org/10.1016/j.atmosenv.2025.121412
13 citations as recorded by crossref.
- The variations in volatile organic compounds based on the policy change for Omicron in the traffic hub of Zhengzhou B. Zhang et al. https://doi.org/10.5194/acp-24-13587-2024
- Aromatic hydrocarbons during ozone episode in the Pearl River Delta region, China: Insight into ozone control strategies W. Yang et al. https://doi.org/10.1016/j.envpol.2025.126648
- Meteorological regime controls on PM2.5 and O3 variability in the Sichuan Basin: insights from a hybrid causal-machine learning analysis Y. Du et al. https://doi.org/10.1016/j.atmosenv.2026.122244
- First global twice-daily ozone profiles from Chinese UV–vis satellites via synergistic spectral calibration and retrieval X. Wang et al. https://doi.org/10.1016/j.rse.2025.115106
- Patterns and impact of volatile organic compounds on ozone and secondary organic aerosol formation: implications for air pollution in Upper Southeast Asia W. Tala et al. https://doi.org/10.1016/j.hazadv.2025.100762
- Analysis and prediction of atmospheric ozone concentrations using machine learning S. Räss & M. Leuenberger https://doi.org/10.3389/fdata.2024.1469809
- Insights into the source characterization, risk assessment and ozone formation sensitivity of ambient VOCs at an urban site in the Fenwei Plain, China H. Zhang et al. https://doi.org/10.1016/j.jhazmat.2024.136721
- Spatially resolved analysis of speciated VOC emissions and their contributions to secondary pollutant formation: a comparative assessment of anthropogenic and biogenic sources in China Y. Wang et al. https://doi.org/10.1016/j.envint.2025.109627
- Quantifying source-specific formaldehyde contributions to photochemical oxidant formation in a highly polluted Chinese megacity Y. Zhang et al. https://doi.org/10.1016/j.atmosenv.2025.121762
- Mechanisms of ozone formation in heavily polluted cities using interpretable machine learning B. Sun et al. https://doi.org/10.1016/j.uclim.2026.102954
- Toward an Event-Based and Quality-Assured Air Sampling: A Portable System for Sensing and Sampling Volatile Organic Compounds T. Mayer et al. https://doi.org/10.1021/acs.analchem.5c03799
- Life-cycle assessment and sustainable supply potential of charcoal for low-emission silicomanganese production in Gabon M. Werra et al. https://doi.org/10.1016/j.resconrec.2026.108858
- Unraveling the formation and precursor sensitivity of peroxyacetyl nitrate (PAN) in urban photochemical pollution: A case study of Zhengzhou D. Zhang et al. https://doi.org/10.1016/j.atmosenv.2025.121412
Saved (final revised paper)
Latest update: 13 Aug 2026
Short summary
The increasing concentration of O3 precursors and unfavorable meteorological conditions are key factors in the formation of O3 pollution in Zhengzhou. Vehicular exhausts (28 %), solvent usage (27 %), and industrial production (22 %) are identified as the main sources of NMVOCs. Moreover, O3 formation in Zhengzhou is found to be in an anthropogenic volatile organic compound (AVOC)-limited regime. Thus, to reduce O3 formation, a minimum AVOCs / NOx reduction ratio ≥ 3 : 1 is recommended.
The increasing concentration of O3 precursors and unfavorable meteorological conditions are key...
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