4.7 Article

Enhanced air pollution via aerosol-boundary layer feedback in China

期刊

SCIENTIFIC REPORTS
卷 6, 期 -, 页码 -

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/srep18998

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资金

  1. Academy of Finland via Center of Excellence in Atmospheric Sciences [272041]
  2. Finnish Funding Agency for Technology and Innovation TEKES via Beautiful Beijing project [3667/31/2013]
  3. European Research Council Advanced Grant (ATMNUCLE) [227463]
  4. Nanjing University
  5. Collaborative Innovation Center of Climate Change in Jiangsu Province, China
  6. National Natural Science Foundation of China [D0512/41422504]
  7. Academy of Finland project ABBA [280700]
  8. Erasmus + CBHE project ECOIMPACT [561975-EPP-1-2015-1-FI-EPPKA2-CBHE-JP]
  9. Russian Ministry of Education and Science Mega-grant [11.G34.31.0048]
  10. Russian Science Foundation [15-17-20009, 15-17-30009]
  11. Russian Science Foundation [15-17-20009, 15-17-30009] Funding Source: Russian Science Foundation
  12. Academy of Finland (AKA) [280700, 280700] Funding Source: Academy of Finland (AKA)

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Severe air pollution episodes have been frequent in China during the recent years. While high emissions are the primary reason for increasing pollutant concentrations, the ultimate cause for the most severe pollution episodes has remained unclear. Here we show that a high concentration of particulate matter (PM) will enhance the stability of an urban boundary layer, which in turn decreases the boundary layer height and consequently cause further increases in PM concentrations. We estimate the strength of this positive feedback mechanism by combining a new theoretical framework with ambient observations. We show that the feedback remains moderate at fine PM concentrations lower than about 200 mu g m(-3), but that it becomes increasingly effective at higher PM loadings resulting from the combined effect of high surface PM emissions and massive secondary PM production within the boundary layer. Our analysis explains why air pollution episodes are particularly serious and severe in megacities and during the days when synoptic weather conditions stay constant.

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