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• W2965175890 endingPage "109333" @default.
• W2965175890 startingPage "109333" @default.
• W2965175890 abstract "While the economy and society of China are developing rapidly, various ecological and environmental problems continue to emerge. The problem of air pollution is becoming an issue of increasing concern. Since 2013, Beijing, Tianjin, and Hebei Provinces have collaborated to control air pollution and have achieved certain success. However, the air pollution problem in the capital, Beijing, remains severe. In this study, a quantitative evaluation and analysis method is established for assessing urban air quality and its influencing factors by developing a driving force model. The model combines multiple regression and principal component analysis to account for social, economic, meteorological, and regional factors. The influencing factors with the highest contributions are regional transmission, energy consumption, and industrial structure. This model is used to project the future trend of the air quality in Beijing based on the evolution of the influencing factors, aimed to provide a theoretical basis for policies improving Beijing's air quality." @default.
• W2965175890 created "2019-08-13" @default.
• W2965175890 creator A5048305819 @default.
• W2965175890 creator A5080885140 @default.
• W2965175890 creator A5085084248 @default.
• W2965175890 date "2019-10-01" @default.
• W2965175890 modified "2023-10-18" @default.
• W2965175890 title "Exploring regional air quality evolution by developing a driving force model: Case study of Beijing" @default.
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• W2965175890 doi "https://doi.org/10.1016/j.jenvman.2019.109333" @default.
• W2965175890 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31398677" @default.
• W2965175890 hasPublicationYear "2019" @default.
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