Guiwen Luo This email address is being protected from spambots. You need JavaScript enabled to view it.1, Lanyi Zhang1, Xisheng Hu1, Benjie Shi2, Rongzu Qiu This email address is being protected from spambots. You need JavaScript enabled to view it.1

1 College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China
2 School of Traffic engineering, Fuzhou Polytechnic, Fuzhou 350002, China


 

Received: December 27, 2019
Revised: June 9, 2020
Accepted: June 14, 2020

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.4209/aaqr.2019.11.0614 

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Cite this article:

Luo, G., Zhang, L., Hu, X., Shi, B. and Qiu. R. (2020). Analysis on the Characteristics and Influencing Factors of Ozone in Fuzhou, China Using the Wavelet Analysis. Aerosol Air Qual. Res. https://doi.org/10.4209/aaqr.2019.11.0614

 


HIGHLIGHTS

  • The characteristics of O3 concentration at different time scales were examined.
  • The variation cycle and mutation characteristic of O3 concentration were examined.
  • The correlation between O3 and meteorological parameters were explored.
  • The relationship between O3, gaseous precursor and traffic parameters were explored.
 

ABSTRACT


In recent years, ozone (O3) pollution has become a major and growing air pollution problem in China. In this study, the O3 concentration monitoring data, meteorological parameters and traffic data from Fuzhou were collected, the wavelet transform method was used to analyze the variation characteristics of O3 concentration and the correlation between O3 concentration and influencing factors. The annual variation characteristics are shown as follows: high value areas of O3 concentration appeared in spring and summer; the significant fluctuations were concentrated in March to April, June to July and September; and the mutation days indicated the possible relationships between O3 concentration and meteorological parameters. The correlation analysis showed that O3 concentration had a significant positive correlation with temperature and sunshine duration, while it had a negative correlation with relative humidity, precipitation and air pressure. Additionally, the O3 concentration increased in lower wind speed and fluctuated in higher wind speed. Furthermore, precursors (NOx and CO) also had a significant negative correlation with O3, and the fluctuations of precursors on working day were larger than the rest day. The traffic parameters (vehicle flow, vehicle speed and traffic flow density) were closely correlated to O3 concentration, the vehicle speed decreased with the increase of vehicle flow and traffic flow density in peak time, leading to an increase in precursors emissions from vehicle exhaust. Notably, there was a significant “weekend effect” between precursors, vehicle flow and O3.


Keywords: Ozone concentrations; Wavelet analysis; Meteorological parameters; Gas precursor; Traffic parameters



Aerosol Air Qual. Res. 20:-. https://doi.org/10.4209/aaqr.2019.11.0614 

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