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
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.
Revised:
June 9, 2020
Accepted:
June 14, 2020
Download Citation:
||https://doi.org/10.4209/aaqr.2019.11.0614
Luo, G., Zhang, L., Hu, X., Shi, B. and Qiu. R. (2020). Assessment of the Characteristics and Influencing Factors of Ozone in Fuzhou, China, Using Wavelet Analysis. Aerosol Air Qual. Res. 20: 1898–1909. https://doi.org/10.4209/aaqr.2019.11.0614
Cite this article:
In recent years, ozone (O3) air pollution has become a major problem—which is still increasing—in China. In this study, data on the O3 concentration as well as on two of its influencing factors, meteorological parameters and traffic conditions, were collected in Fuzhou and then analyzed via wavelet transforms to evaluate the variation in O3 concentration and its relationships with the factors. High concentrations appeared during spring and summer, and notable fluctuations occurred primarily from March till April, from June till July and during September. The level of O3 exhibited significant positive correlations with the temperature and sunshine duration but negative ones with the relative humidity, precipitation and air pressure; additionally, it increased when the wind speed was low and fluctuated when the wind speed was high. The concentration was also significantly negatively correlated with the concentrations of O3 precursors (NOx and CO) and hence closely related to the traffic conditions, as the reduced vehicle speed during rush hour due to increased vehicle flow and traffic density led to higher precursor emissions in the vehicular exhaust. A prominent “weekend effect” was observed with the precursor levels, which displayed greater fluctuations during the weekdays than the weekends; the vehicle flow and the O3 concentration.HIGHLIGHTS
ABSTRACT
Keywords:
Ozone concentrations; Wavelet analysis; Meteorological parameters; Gas precursor; Traffic parameters.
Aerosol Air Qual. Res. 20 :1898 -1909 . https://doi.org/10.4209/aaqr.2019.11.0614