Assessment of the Characteristics and Influencing Factors of Ozone in Fuzhou, China, Using Wavelet Analysis
Abstract 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...
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| Format: | Article |
| Language: | English |
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Springer
2020-06-01
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| Series: | Aerosol and Air Quality Research |
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| Online Access: | https://doi.org/10.4209/aaqr.2019.11.0614 |
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| _version_ | 1823862914906324992 |
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| author | Guiwen Luo Lanyi Zhang Xisheng Hu Benjie Shi Rongzu Qiu |
| author_facet | Guiwen Luo Lanyi Zhang Xisheng Hu Benjie Shi Rongzu Qiu |
| author_sort | Guiwen Luo |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-a5e93a8e2e8449b4a7d90c370d5fb652 |
| institution | Kabale University |
| issn | 1680-8584 2071-1409 |
| language | English |
| publishDate | 2020-06-01 |
| publisher | Springer |
| record_format | Article |
| series | Aerosol and Air Quality Research |
| spelling | doaj-art-a5e93a8e2e8449b4a7d90c370d5fb6522025-02-09T12:19:36ZengSpringerAerosol and Air Quality Research1680-85842071-14092020-06-012091898190910.4209/aaqr.2019.11.0614Assessment of the Characteristics and Influencing Factors of Ozone in Fuzhou, China, Using Wavelet AnalysisGuiwen Luo0Lanyi Zhang1Xisheng Hu2Benjie Shi3Rongzu Qiu4College of Transportation and Civil Engineering, Fujian Agriculture and Forestry UniversityCollege of Transportation and Civil Engineering, Fujian Agriculture and Forestry UniversityCollege of Transportation and Civil Engineering, Fujian Agriculture and Forestry UniversitySchool of Traffic engineering, Fuzhou PolytechnicCollege of Transportation and Civil Engineering, Fujian Agriculture and Forestry UniversityAbstract 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.https://doi.org/10.4209/aaqr.2019.11.0614Ozone concentrationsWavelet analysisMeteorological parametersGas precursorTraffic parameters |
| spellingShingle | Guiwen Luo Lanyi Zhang Xisheng Hu Benjie Shi Rongzu Qiu Assessment of the Characteristics and Influencing Factors of Ozone in Fuzhou, China, Using Wavelet Analysis Aerosol and Air Quality Research Ozone concentrations Wavelet analysis Meteorological parameters Gas precursor Traffic parameters |
| title | Assessment of the Characteristics and Influencing Factors of Ozone in Fuzhou, China, Using Wavelet Analysis |
| title_full | Assessment of the Characteristics and Influencing Factors of Ozone in Fuzhou, China, Using Wavelet Analysis |
| title_fullStr | Assessment of the Characteristics and Influencing Factors of Ozone in Fuzhou, China, Using Wavelet Analysis |
| title_full_unstemmed | Assessment of the Characteristics and Influencing Factors of Ozone in Fuzhou, China, Using Wavelet Analysis |
| title_short | Assessment of the Characteristics and Influencing Factors of Ozone in Fuzhou, China, Using Wavelet Analysis |
| title_sort | assessment of the characteristics and influencing factors of ozone in fuzhou china using wavelet analysis |
| topic | Ozone concentrations Wavelet analysis Meteorological parameters Gas precursor Traffic parameters |
| url | https://doi.org/10.4209/aaqr.2019.11.0614 |
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