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首页|期刊导航|Atmospheric and Oceanic Science Letters|Clarifying the relationship between PM2.5 and ozone complex pollution and synoptic patterns in a typical petrochemical city in the Bohai Rim region of China:Implications for air pollution forecasting and control

Clarifying the relationship between PM2.5 and ozone complex pollution and synoptic patterns in a typical petrochemical city in the Bohai Rim region of China:Implications for air pollution forecasting and control

Yongxin Yan Cong An Junling Li Yuanyuan Ji Rui Gao Hong Wang Fanyi Shang Linlin Ma Xiaoshuai Gao Hong Li

Atmospheric and Oceanic Science Letters2024,Vol.17Issue(6):P.45-52,8.
Atmospheric and Oceanic Science Letters2024,Vol.17Issue(6):P.45-52,8.DOI:10.1016/j.aosl.2024.100539

Clarifying the relationship between PM2.5 and ozone complex pollution and synoptic patterns in a typical petrochemical city in the Bohai Rim region of China:Implications for air pollution forecasting and control

Yongxin Yan 1Cong An 1Junling Li 1Yuanyuan Ji 1Rui Gao 1Hong Wang 2Fanyi Shang 3Linlin Ma 1Xiaoshuai Gao 4Hong Li1

作者信息

  • 1. State Key Laboratory of Environmental Criteria and Risk Assessment,Chinese Research Academy of Environmental Sciences,Beijing,China
  • 2. Fujian Key Laboratory of Severe Weather,and Key Laboratory of Straits Severe Weather,China Meteorological Administration,Fuzhou,China
  • 3. Dongying Ecological Environment Bureau,Dongying,China
  • 4. State Key Laboratory of Environmental Criteria and Risk Assessment,Chinese Research Academy of Environmental Sciences,Beijing,China Beijing University of Technology,Beijing,China
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摘要

关键词

Synoptic classification/T-mode principal component analysis/Complex air pollution/Correlation analysis/Bohai Rim region

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资源环境

引用本文复制引用

Yongxin Yan,Cong An,Junling Li,Yuanyuan Ji,Rui Gao,Hong Wang,Fanyi Shang,Linlin Ma,Xiaoshuai Gao,Hong Li..Clarifying the relationship between PM2.5 and ozone complex pollution and synoptic patterns in a typical petrochemical city in the Bohai Rim region of China:Implications for air pollution forecasting and control[J].Atmospheric and Oceanic Science Letters,2024,17(6):P.45-52,8.

基金项目

jointly supported by the Ministry of Ecology and Environment of the People’s Republic of China[grant number DQGG202121] ()

the Dongying Ecological and Environmental Bureau[grant number 2021DFKY-0779]。 ()

Atmospheric and Oceanic Science Letters

1674-2834

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