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Published July 2024 | Published
Journal Article Open

Significant reductions of urban daytime ozone by extremely high concentration NOₓ from ship's emissions: A case study

Abstract

In this paper, a four nested Weather Research and Forecasting-Community Multiscale Air Quality (WRF-CMAQ) model was applied to analyze ozone (O3) concentration reductions under the influence of extremely high NOx concentrations emitted from ships at the Hankou Jiangtan (HJ) station adjacent to the Yangtze River in Wuhan, China. By adding NO emissions along the waterway for the sensitivity experiments, the model successfully reproduced two cases of high NOx concentrations on April 9 and April 28, 2020, and one case of persistent and extremely high NOx concentrations on the night of May 3, 2020. During daytime, strong photochemical reactions generated new O3, while the high concentration NOx from ship emissions continuously reduced O3 through catalytic cycling. This led to the O3 concentrations at the HJ station being consistently lower than the surrounding stations in the afternoon, with the high NOx plume dropping O3 concentrations by 51 ppb in 1 h, and NO2 concentrations up to 110 ppb. The presence of large amounts of fresh NO (up to 265 ppb) in the ship emission plumes rapidly reduces O3 concentrations through titration reactions during night, resulting in a wide area of low O3 concentrations (2–4 ppb) over a long period of time. This study demonstrates that the pollution and impact of emissions from ships traveling in waterways on the atmosphere of the surrounding area cannot be ignored.

    Copyright and License

    © 2024 Turkish National Committee for Air Pollution Research and Control. Production and hosting by Elsevier.

    Acknowledgement

    This work was supported by the National Natural Science Foundation of China (No. 421750847236113700721577126, and 41561144004), Department of Science and Technology of China (No. 2018YFC0213506 and 2018YFC0213503).

    Contributions

    Zhe Song: Methodology, Writing – original draft, Formal analysis. Shaocai Yu: Conceptualization, Methodology, Writing – review & editing. Xue Chen: Formal analysis. Mengying Li: Formal analysis. Pengfei Li: Conceptualization, Software, Writing – review & editing. Ke Hu: Data curation. Shengwen Liang: Data curation. Jianmin Chen: Writing – review & editing. Daniel Rosenfeld: Writing – review & editing. John H. Seinfeld: Writing – review & editing.

    Data Availability

    Appendix A. Supplementary data

    Conflict of Interest

    The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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    Additional details

    Created:
    May 30, 2024
    Modified:
    May 30, 2024