Investigation of the Earliest Ozone Pollution Events in Hangzhou Bay, China Based on Observations and ERA5 Reanalysis Data
Ozone pollution in Hangzhou Bay, one of the seven petrochemical clusters in China, is severe. Early ozone pollution has been detected recently, such as the maximum daily 8 h average (MDA8) ozone concentration in Jiaxing achieving 171.0 μg/m<sup>3</sup> on 7 March 2023. Satellites have observed tropospheric column concentrations of ozone precursors formaldehyde (HCHO) and nitrogen dioxide (NO<sub>x</sub>), and quantitative models are proposed to reveal the causes of the early onset of ozone pollution. VOC-limited and transitional regimes dominate most areas in Hangzhou Bay, and NO<sub>x</sub>-limited regimes dominate the region around Hangzhou Bay, such as northeastern Jiangsu Province. Results show that HCHO column concentrations are increasing in VOC-limited regions, and NO<sub>x</sub> column concentrations are increasing more rapidly than HCHO in NO<sub>x</sub>-limited regions. According to multivariate linear regression (MLR), early spring ozone pollution in Hangzhou Bay is mainly caused by meteorological drivers. Hangzhou Bay has formed an atmospheric meteorological environment with high temperature and low humidity. The richer solar radiation intensifies the photochemical reactions associated with tropospheric ozone formation, producing more tropospheric ozone. Based on the Shapley Additive Explanation (SHAP) algorithm, ozone pollution increases when solar radiation exceeds 12 million J/m<sup>2</sup> and is accompanied by high temperatures. Overall, reducing VOC emissions helps to mitigate ozone growth in Shanghai and northern Hangzhou Bay, while reducing NO<sub>x</sub> emissions is more effective in northeastern Jiangsu Province.
Authors
- Jianhui Guo
- Tianen Yao (ORCID: https://orcid.org/0000-0001-8289-3161)
- Xinyu Yang (ORCID: https://orcid.org/0000-0001-5498-1877)
- Xinhao Li (ORCID: https://orcid.org/0009-0007-3118-2467)
- Jinjia Zhang (ORCID: https://orcid.org/0009-0009-5708-2602)
- Jing Li (ORCID: https://orcid.org/0000-0001-7682-4311)
- Yaqi Wang (ORCID: https://orcid.org/0000-0002-7261-4947)
- Zhi Li (ORCID: https://orcid.org/0000-0002-9268-6497)
Institutions
- Georgia Institute of Technology (US)
- Peking University (CN)
Publication Details
- Journal
- Toxics
- Published
- 2025-01-27
- DOI
- https://doi.org/10.3390/toxics13020099
- Citations
- 3
- Primary Topic
- Air Quality Monitoring and Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 2.40
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China