The Characteristics of Heavy Ozone Pollution Episodes and Identification of the Primary Driving Factors Using a Generalized Additive Model (GAM) in an Industrial Megacity of Northern China
Tropospheric ozone is the only normal pollutant with a continuously increasing annual average concentration worldwide. In this study, data were monitored at the Nankai University Air Quality Research Supersite (NKAQRS) (38.99° N, 117.33° E) between 1 April, and 31 August from 2018 to 2020, 33 O<s...
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2021
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oai:doaj.org-article:faa9c21f4cae40a8922eb98d94a5c3132021-11-25T16:45:48ZThe Characteristics of Heavy Ozone Pollution Episodes and Identification of the Primary Driving Factors Using a Generalized Additive Model (GAM) in an Industrial Megacity of Northern China10.3390/atmos121115172073-4433https://doaj.org/article/faa9c21f4cae40a8922eb98d94a5c3132021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4433/12/11/1517https://doaj.org/toc/2073-4433Tropospheric ozone is the only normal pollutant with a continuously increasing annual average concentration worldwide. In this study, data were monitored at the Nankai University Air Quality Research Supersite (NKAQRS) (38.99° N, 117.33° E) between 1 April, and 31 August from 2018 to 2020, 33 O<sub>3</sub> episodes from 2018 to 2020 were analyzed to reveal the characteristics of O<sub>3</sub>, VOCs and OFP during O<sub>3</sub> episodes and to evaluate the driving factors. The O<sub>3</sub> episodes showed a decreasing trend in terms of pollution frequency, days, heavy pollution duration and peak concentration. Ethane, acetylene, cyclopentane, and methylcyclopentane were the major types in 2020, while 1-hexene was the main component in 2019. The main ozone-contributing species in 2020 were propene cyclopentane methylcyclopentane and ethylene. Alkenes were important contributors to ozone formation. Using generalized additive models (GAMs), the explanatory variables in the study are divided into environmental and meteorological factors, and 16 impact factors are selected as explanatory variables. We found that the influence of these meteorological factors on O<sub>3</sub> pollution was nonlinear and impacted by the interaction between variables. O<sub>3</sub> episodes were mainly driven by meteorological and precursor (NO) factors in 2018, while meteorological conditions (T), followed by precursor (NO<sub>2</sub>) were the driving factors in 2019 and 2020, suggesting that O<sub>3</sub> episodes were mainly driven by meteorological conditions.Liuli DiaoXiaohui BiWenhui ZhangBaoshuang LiuXuehan WangLinxuan LiQili DaiYufen ZhangJianhui WuYinchang FengMDPI AGarticleO<sub>3</sub> episodesOFPGAMdriving factorsMeteorology. ClimatologyQC851-999ENAtmosphere, Vol 12, Iss 1517, p 1517 (2021) |
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DOAJ |
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EN |
| topic |
O<sub>3</sub> episodes OFP GAM driving factors Meteorology. Climatology QC851-999 |
| spellingShingle |
O<sub>3</sub> episodes OFP GAM driving factors Meteorology. Climatology QC851-999 Liuli Diao Xiaohui Bi Wenhui Zhang Baoshuang Liu Xuehan Wang Linxuan Li Qili Dai Yufen Zhang Jianhui Wu Yinchang Feng The Characteristics of Heavy Ozone Pollution Episodes and Identification of the Primary Driving Factors Using a Generalized Additive Model (GAM) in an Industrial Megacity of Northern China |
| description |
Tropospheric ozone is the only normal pollutant with a continuously increasing annual average concentration worldwide. In this study, data were monitored at the Nankai University Air Quality Research Supersite (NKAQRS) (38.99° N, 117.33° E) between 1 April, and 31 August from 2018 to 2020, 33 O<sub>3</sub> episodes from 2018 to 2020 were analyzed to reveal the characteristics of O<sub>3</sub>, VOCs and OFP during O<sub>3</sub> episodes and to evaluate the driving factors. The O<sub>3</sub> episodes showed a decreasing trend in terms of pollution frequency, days, heavy pollution duration and peak concentration. Ethane, acetylene, cyclopentane, and methylcyclopentane were the major types in 2020, while 1-hexene was the main component in 2019. The main ozone-contributing species in 2020 were propene cyclopentane methylcyclopentane and ethylene. Alkenes were important contributors to ozone formation. Using generalized additive models (GAMs), the explanatory variables in the study are divided into environmental and meteorological factors, and 16 impact factors are selected as explanatory variables. We found that the influence of these meteorological factors on O<sub>3</sub> pollution was nonlinear and impacted by the interaction between variables. O<sub>3</sub> episodes were mainly driven by meteorological and precursor (NO) factors in 2018, while meteorological conditions (T), followed by precursor (NO<sub>2</sub>) were the driving factors in 2019 and 2020, suggesting that O<sub>3</sub> episodes were mainly driven by meteorological conditions. |
| format |
article |
| author |
Liuli Diao Xiaohui Bi Wenhui Zhang Baoshuang Liu Xuehan Wang Linxuan Li Qili Dai Yufen Zhang Jianhui Wu Yinchang Feng |
| author_facet |
Liuli Diao Xiaohui Bi Wenhui Zhang Baoshuang Liu Xuehan Wang Linxuan Li Qili Dai Yufen Zhang Jianhui Wu Yinchang Feng |
| author_sort |
Liuli Diao |
| title |
The Characteristics of Heavy Ozone Pollution Episodes and Identification of the Primary Driving Factors Using a Generalized Additive Model (GAM) in an Industrial Megacity of Northern China |
| title_short |
The Characteristics of Heavy Ozone Pollution Episodes and Identification of the Primary Driving Factors Using a Generalized Additive Model (GAM) in an Industrial Megacity of Northern China |
| title_full |
The Characteristics of Heavy Ozone Pollution Episodes and Identification of the Primary Driving Factors Using a Generalized Additive Model (GAM) in an Industrial Megacity of Northern China |
| title_fullStr |
The Characteristics of Heavy Ozone Pollution Episodes and Identification of the Primary Driving Factors Using a Generalized Additive Model (GAM) in an Industrial Megacity of Northern China |
| title_full_unstemmed |
The Characteristics of Heavy Ozone Pollution Episodes and Identification of the Primary Driving Factors Using a Generalized Additive Model (GAM) in an Industrial Megacity of Northern China |
| title_sort |
characteristics of heavy ozone pollution episodes and identification of the primary driving factors using a generalized additive model (gam) in an industrial megacity of northern china |
| publisher |
MDPI AG |
| publishDate |
2021 |
| url |
https://doaj.org/article/faa9c21f4cae40a8922eb98d94a5c313 |
| work_keys_str_mv |
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