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• W2926675229 endingPage "73" @default.
• W2926675229 startingPage "61" @default.
• W2926675229 abstract "Irregular oscillations of Equatorial Pacific sea surface temperatures known as El Niño-Southern Oscillation (ENSO) has been shown to affect air pollution in China by altering atmospheric circulations. In this study, we use hourly PM2.5 data from nearly 1500 monitoring stations across entire China to further explore the connection between ENSO and China's haze pollution by comparing PM2.5 concentrations for the two most recent ENSO events, the 2015–2016 El Niño and the 2017–2018 La Niña. The PM2.5 concentrations show significant differences between the two events and the differences are larger in winter and smaller in summer. In summer, the PM2.5 concentrations are higher across China during El Niño. However in winter, higher concentrations are found at most stations in northern China during El Niño, but at majority of stations in southern China during La Niña. Spring and autumn show a transitional pattern between summer and winter. Dividing the country into nine regions with similar geographical conditions, the relationship between the monthly PM2.5 concentration anomalies and the Niño3.4 indices, as revealed by linear regression, is generally positive at stations in North, Northeast and the northern parts of Central and East China, but generally negative in South, Southwest and the southern parts of Central and East China. No difference is found in the oscillation periods of the PM2.5 concentrations between the two events, except that the seasonal and intra-seasonal oscillatory signals appear to be slightly stronger during El Niño than La Niña. The regional and seasonal differences in PM2.5 concentrations between El Niño and La Niña can be partially explained by the differences in the anomalous atmospheric circulation patterns, particularly the low-level wind and surface precipitation patterns." @default.
• W2926675229 created "2019-04-11" @default.
• W2926675229 creator A5007131783 @default.
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• W2926675229 date "2019-07-01" @default.
• W2926675229 modified "2023-09-26" @default.
• W2926675229 title "Impact of 2015–2016 El Niño and 2017–2018 La Niña on PM2.5 concentrations across China" @default.
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• W2926675229 doi "https://doi.org/10.1016/j.atmosenv.2019.03.035" @default.
• W2926675229 hasPublicationYear "2019" @default.
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