Zhejiang Lin’an Atmospheric Background National Observation and Research Station, Zhejiang Institute
of Meteorological Sciences, Hangzhou 311300, China
2
Department of Environmental Engineering, China Jiliang University, Hangzhou 310018, China
3
College of Quality and Standardization, China Jiliang University, Hangzhou 310018, China
Submission date: 2025-07-03
Final revision date: 2025-09-08
Acceptance date: 2025-12-05
Online publication date: 2026-03-04
Corresponding author
Tao Ding
Department of Environmental Engineering, China Jiliang University, No. 258, Xueyuan Street, 310018, Hangzhou, China
In recent years, ozone (O3) pollution in Hangzhou has become increasingly prevalent, posing
a significant threat to public health and the ecological environment. This study investigated
the spatiotemporal characteristics and sensitivity of ozone pollution in Hangzhou by analyzing
monitoring data collected from 2018 to 2022 at 12 monitoring stations. The dataset included ozone
concentrations, meteorological parameters, and pollutant information. The results show that:
(1) The spatiotemporal distribution of ozone concentrations is characterized by a spatial pattern where
concentrations are lower in the west and higher in the east. The monthly variation displays a bimodal
pattern with peaks occurring in late spring and summer, while the diurnal variation demonstrates
a unimodal pattern peaking in the afternoon. Higher ozone concentrations were consistently recorded
during weekends in contrast to weekdays. (2) Sensitivity analysis demonstrated that higher temperatures
and reduced NO2 concentrations significantly facilitated ozone formation, whereas high relative humidity
(>55%) suppressed this process; PM2.5 concentrations demonstrated ozone-promoting effects within the
range of 11-40 μg/m3, while its impact plateaued when concentrations exceeded 77 μg/m3. This study
provides scientific evidence to support precise prevention and control strategies for ozone pollution
in Hangzhou, Zhejiang Province.
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.
REFERENCES(29)
1.
CAKMAK S., HEBBERN C., PINAULT L., LAVIGNE E., VANOS J., CROUSE D.L., TJEPKEMA M. Associations between long-term PM2.5 and ozone exposure and mortality in the Canadian Census Health and Environment Cohort (CANCHEC), by spatial synoptic classification zone. Environment International. 111, 200, 2018. https://doi.org/10.1016/j.envi....
WANG F., QIU X., CAO J., PENG L., ZHANG N., YAN Y., LI R. Policy-driven changes in the health risk of PM2.5 and O3 exposure in China during 2013-2018. Science of the Total Environment. 757 (7794), 143775, 2021. https://doi.org/10.1016/j.scit....
GUAN Y., XIAO Y., CHU C., ZHANG N., YU L. Trends and characteristics of ozone and nitrogen dioxide related health impacts in Chinese cities. Ecotoxicology and Environmental Safety. 241, 2022. https://doi.org/10.1016/j.ecoe....
WHITE M.C., ETZEL R.A., WILCOX W.D., LLOYD C. Exacerbations of childhood asthma and ozone pollution in Atlanta. Environmental Research. 65 (1), 56, 1994. https://doi.org/10.1006/enrs.1....
DU C., PEI J., FENG Z. Unraveling the complex interactions between ozone pollution and agricultural productivity in China's main winter wheat region using an interpretable machine learning framework. Science of the Total Environment. 954, 2024. https://doi.org/10.1016/j.scit....
LIU B., LI Y., WANG L., ZHANG L., QIAO F., NAN P., JI D., HU B., XIA Z., LOU Z. Evaluating the effects of meteorology and emission changes on ozone in different regions over China based on machine learning. Atmospheric Pollution Research. 16 (3), 2025. https://doi.org/10.1016/j.apr.....
LYU Y., JU Q., LV F., FENG J., PANG X., LI X. Spatiotemporal variations of air pollutants and ozone prediction using machine learning algorithms in the Beijing-Tianjin-Hebei region from 2014 to 2021. Environmental Pollution. 306, 2022. https://doi.org/10.1016/j.envp....
DING S., WEI Z., LIU S., ZHAO R. Uncovering the evolution of ozone pollution in China: A spatiotemporal characteristics reconstruction from 1980 to 2021. Atmospheric Research. 307 (33), 107472, 2024. https://doi.org/10.1016/j.atmo....
YAN Y., LIN J., POZZER A., KONG S., LELIEVELD J. Trend reversal from high-to-low and from rural-to-urban ozone concentrations over Europe. Atmospheric Environment. 213, 25, 2019. https://doi.org/10.1016/j.atmo....
REN J., HAO Y., SIMAYI M., SHI Y., XIE S. Spatiotemporal variation of surface ozone and its causes in Beijing, China since 2014. Atmospheric Environment. 260, 118556, 2021. https://doi.org/10.1016/j.atmo....
LIU Z., QI Z., NI X., DONG M., MA M., XUE W., ZHANG Q., WANG J. How to apply O3 and PM2.5 collaborative control to practical management in China: A study based on meta-analysis and machine learning. Science of the Total Environment. 772, 2021. https://doi.org/10.1016/j.scit....
YIN S., LIU H., DUAN Z. Hourly PM2.5 concentration multi-step forecasting method based on extreme learning machine, boosting algorithm and error correction model. Digital Signal Processing. 118, 2021. https://doi.org/10.1016/j.dsp.....
OUFDOU H., BELLANGER L., BERGAM A., KHOMSI K. Forecasting Daily of Surface Ozone Concentration in the Grand Casablanca Region Using Parametric and Nonparametric Statistical Models. Atmosphere. 12 (6), 2021. https://doi.org/10.3390/atmos1....
LI J., AN X., LI Q., WANG C., YU H., ZHOU X., GENG Y.-A. Application of XGBoost algorithm in the optimization of pollutant concentration. Atmospheric Research. 276, 2022. https://doi.org/10.1016/j.atmo....
FENG R., LUO K., FAN J.-R. Decoding Tropospheric Ozone in Hangzhou, China: from Precursors to Sources. Asia-Pacific Journal of Atmospheric Sciences. 56 (3), 321, 2020. https://doi.org/10.1007/s13143....
WANG M., SHENG H., LIU Y., WANG G., HUANG H., FAN L., YE D. Research on the diurnal variation characteristics of ozone formation sensitivity and the impact of ozone pollution control measures in "2+26" cities of Henan Province in summer. Science of the Total Environment. 888, 2023. https://doi.org/10.1016/j.scit....
YU M., ZHU Y., LIN C.-J., WANG S., XING J., JANG C., HUANG J., HUANG J., JIN J., YU L. Effects of air pollution control measures on air quality improvement in Guangzhou, China. Journal of Environmental Management. 244, 127, 2019. https://doi.org/10.1016/j.jenv....
LIU Z., CHEN X., LU Q. Blowin' in the wind of an invisible killer: long-term exposure to ozone and respiratory mortality in the USA. Journal of Population Economics. 38 (3), 2025. https://doi.org/10.1007/s00148....
YANG B.-Y., LIU Y., HU L.-W., ZENG X.-W., DONG G.-H. Urgency to Assess the Health Impact of Ambient Air Pollution in China. In: Ambient Air Pollution and Health Impact in China, G.H. Dong Ed. Volume 1017, pp.1, 2017. https://doi.org/10.1007/978-98....
REAMES T.G., BRAVO M.A. People, place and pollution: Investigating relationships between air quality perceptions, health concerns, exposure, and individual- and area-level characteristics. Environment International. 122, 244, 2019. https://doi.org/10.1016/j.envi....
JIAN Z., CAI J., CHEN R., NIU Y., KAN H. A bibliometric analysis of research on the health impacts of ozone air pollution. Environmental Science and Pollution Research. 31 (11), 16746, 2024. https://doi.org/10.1007/s11356....
DEWAN S., BAMOLA S., LAKHANI A. Addressing ozone pollution to promote United Nations sustainable development goal 2: Ensuring global food security. Chemosphere. 347, 140693, 2024. https://doi.org/10.1016/j.chem....
LI P., YUAN X.-Y., DAI L.-L., FENG Z.-Z. Progress in the Interactions of Ozone Pollution and Other Environmental Stress on Urban Forests in China. Huan jing ke xue = Huanjing kexue. 42 (11), 5075, 2021.
KAUFMAN L., ROUSSEEUW P.J. Finding Groups in Data: An Introduction to Cluster Analysis. Finding Groups in Data: An Introduction to Cluster Analysis, 2009.
WU D.-N., SHI L.-L., XING B., HAN Y., SONG J.P., LV Y., PANG X.-B. Machine learning reveals the driving factors of ozone meteorology in Chinese urban agglomerations. Ecology and Environmental Monitoring of Three Gorges. 1, 2025.
SHEN Z.-B., PANG L., WANG W.D., ZHENG Y., ZHANG G.-C. Research on Ozone Pollution Forecasting Based on Machine Learning: A Case Study of Zhenhai District, Ningbo City. Sichuan Environment. 44 (3), 28, 2025.
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