Air pumping for alleviation of heavy smog in Beijing
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Beijing often suffers under heavy smog. During such events which occur mostly in autumn and winter, people are desperate for fresh air. The formation of heavy smog is due to foremost human induced air pollution, but geographic and meteorological conditions, especially below a surface inversion, play an important role. We propose to destroy the inversion by pumping air from above the inversion layer to the surface layer to alleviate the severity of the smog. While long-term air quality improvement depends on the reduction of air pollution emission, air pumping may provide relief in the interim for the Beijing citizens. We estimate that an air pumping at a rate 2×107 m3 s–1 can lead to significantly improved air quality in Beijing, due to (1) direct clean air input; (2) increased instability and vertical mixing and (3) a positive radiation-mixing feedback. The pumping requires an energy input of 10 GW, comparable with the energy consumption in Beijing for air conditioning in summer. We propose to use wind energy from Inner Mongolia for the pumping, which has currently an installed wind energy capacity of 70 GW.
KeywordsBeijing air quality Air pumping Numerical modelling Inversion
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We wish to thank Xia Qian, University of Cologne, for preparing Figures 3a and 4 and Zong Zhiping, National Meteorological Center of CMA, for providing Figure 2a. We are also grateful to the reviewers for their comments which led to improvements of the manuscript. This work was supported by the National Natural Science Foundation of China (Grant No. 91537211).
- Fuchs H, Tan Z, Lu K, Bohn B, Broch S, Brown S S, Dong H, Gomm S, Häseler R, He L, Hofzumahaus A, Holland F, Li X, Liu Y, Lu S, Min K E, Rohrer F, Shao M, Wang B, Wang M, Wu Y, Zeng L, Zhang Y, Wahner A, Zhang Y. 2017. OH reactivity at a rural site (Wangdu) in the North China Plain: Contributions from OH reactants and experimental OH budget. Atmos Chem Phys, 17: 645–661CrossRefGoogle Scholar
- National Bureau of Statistics of China. 2016. China Statistical Yearbook 2016Google Scholar
- Wang Z F, Li J, Wang Z, Yang W Y, Tang X, Ge B Z, Yan P Z, Zhu L L, Chen X S, Chen H S, Wand W, Li J J, Liu B, Wang X Y, Wand W, Zhao Y L, Lu N, Su D B. 2014. Modeling study of regional severe hazes over mid-eastern China in January 2013 and its implications on pollution prevention and control. Sci China Earth Sci, 57: 3–13CrossRefGoogle Scholar