Spatiotemporal Variation Characteristics of Ozone and Identification of Key Influencing Factors Based on Random Forest Model: A Case Study of Chuzhou City

The cause of ozone pollution is a complex scientific problem. Studying the spatiotemporal variation characteristics of O at different time scales and analyzing the key influencing factors of O concentration is of great significance for the precise formulation of urban air pollution control measures...

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Published inHuanjing kexue Vol. 45; no. 9; p. 5117
Main Authors Xin, Bo-da, Lü, Lian-Hong, Wang, Pei, Li, Wei, Wang, Lei, Zhou, Chun, Dong, Jing-Jing, Wang, Si-Yi
Format Journal Article
LanguageChinese
Published China 08.09.2024
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Abstract The cause of ozone pollution is a complex scientific problem. Studying the spatiotemporal variation characteristics of O at different time scales and analyzing the key influencing factors of O concentration is of great significance for the precise formulation of urban air pollution control measures and the improvement of urban air quality. Based on the analysis of the spatiotemporal variation characteristics of O concentration in Chuzhou City, we studied the 12 ozone-influencing factors of meteorology and pollutants at multiple time scales using Spearman correlation analysis and a random forest model. The results showed that: ① The O pollution level of Chuzhou City showed an aggravating trend, and the O concentration distribution showed a spatial pattern of "high in the southeast and low in the northwest." ② From February to May, SO concentration had a strong impact on the increase in O concentration. From June to September, PM and PM were significantly positively correlated with ozone and had a greater impac
AbstractList The cause of ozone pollution is a complex scientific problem. Studying the spatiotemporal variation characteristics of O at different time scales and analyzing the key influencing factors of O concentration is of great significance for the precise formulation of urban air pollution control measures and the improvement of urban air quality. Based on the analysis of the spatiotemporal variation characteristics of O concentration in Chuzhou City, we studied the 12 ozone-influencing factors of meteorology and pollutants at multiple time scales using Spearman correlation analysis and a random forest model. The results showed that: ① The O pollution level of Chuzhou City showed an aggravating trend, and the O concentration distribution showed a spatial pattern of "high in the southeast and low in the northwest." ② From February to May, SO concentration had a strong impact on the increase in O concentration. From June to September, PM and PM were significantly positively correlated with ozone and had a greater impac
Author Dong, Jing-Jing
Lü, Lian-Hong
Zhou, Chun
Xin, Bo-da
Li, Wei
Wang, Lei
Wang, Si-Yi
Wang, Pei
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  surname: Xin
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  fullname: Lü, Lian-Hong
  organization: Chinese Research Academy of Environmental Sciences, Beijing 100012, China
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  fullname: Wang, Pei
  organization: Shanghai Jianke Environmental Technology Co., Ltd., Shanghai 200030, China
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  givenname: Wei
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  fullname: Li, Wei
  organization: Chuzhou Ecological Environment Bureau, Chuzhou 239000, China
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  fullname: Wang, Lei
  organization: Chuzhou Ecological Environment Protection Comprehensive Administrative Law Enforcement Detachment, Chuzhou 239000, China
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  organization: Chinese Research Academy of Environmental Sciences, Beijing 100012, China
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  givenname: Si-Yi
  surname: Wang
  fullname: Wang, Si-Yi
  organization: Chinese Research Academy of Environmental Sciences, Beijing 100012, China
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Keywords Chuzhou City
random forest
ozone(O3)
spatiotemporal variation
influencing factor
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Snippet The cause of ozone pollution is a complex scientific problem. Studying the spatiotemporal variation characteristics of O at different time scales and analyzing...
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Title Spatiotemporal Variation Characteristics of Ozone and Identification of Key Influencing Factors Based on Random Forest Model: A Case Study of Chuzhou City
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