Canceled : Linkage between Urban Aerosols Distribution and Large-Scale Circulation
This chapter analyzed the dynamics of the atmospheric boundary layer structure (ABLS), Antarctic Oscillation Index (AAOI), and its relationship with air pollution. With regard to the linkage between Antarctic Oscillation (AAO) and pollutants distribution, AAOI was correlated with the dust surface ma...
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| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
2019
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| Online Access: | https://openresearchlibrary.org/viewer/098ea464-237f-4430-b549-19b21c39c1ef https://openresearchlibrary.org/ext/api/media/098ea464-237f-4430-b549-19b21c39c1ef/assets/external_content.pdf |
| Summary: | This chapter analyzed the dynamics of the atmospheric boundary layer structure (ABLS), Antarctic Oscillation Index (AAOI), and its relationship with air pollution. With regard to the linkage between Antarctic Oscillation (AAO) and pollutants distribution, AAOI was correlated with the dust surface mass concentration of PM2.5 over the mainland China, whereby the boreal summer (June and July) AAO signals (JJ–AAOI) was selected as the determinant factor in establishing a relationship with pollutants during boreal winter. It was found that the average of JJ–AAOI has a significant correlation with the dust surface mass concentration of PM2.5. Months from August to October were the most significant months over the Antarctic. These findings imply that the signals of JJ–AAOI can be stored in Antarctic Sea ice from August to October before affecting the ABL which at the end also affects the pollutant distribution. Analysis of the relationship between dust surface mass concentration of PM2.5 and the large-scale circulation involved the empirical orthogonal function (EOF) of the decomposed winter dust surface mass concentration of PM2.5. The time series from the EOF1 analysis showed a wave train of four years of positive and negative (+, −, +) followed by a decadal negative value. |
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