Advances in Atmospheric Sciences

, Volume 36, Issue 8, pp 823–836 | Cite as

The Effect of Super Volcanic Eruptions on Ozone Depletion in a Chemistry-Climate Model

  • Luyang Xu
  • Ke WeiEmail author
  • Xue Wu
  • S. P. Smyshlyaev
  • Wen Chen
  • V. Ya. Galin
Original Paper


With the gradual yet unequivocal phasing out of ozone depleting substances (ODSs), the environmental crisis caused by the discovery of an ozone hole over the Antarctic has lessened in severity and a promising recovery of the ozone layer is predicted in this century. However, strong volcanic activity can also cause ozone depletion that might be severe enough to threaten the existence of life on Earth. In this study, a transport model and a coupled chemistry-climate model were used to simulate the impacts of super volcanoes on ozone depletion. The volcanic eruptions in the experiments were the 1991 Mount Pinatubo eruption and a 100 × Pinatubo size eruption. The results show that the percentage of global mean total column ozone depletion in the 2050 RCP8.5 100 × Pinatubo scenario is approximately 6% compared to two years before the eruption and 6.4% in tropics. An identical simulation, 100 × Pinatubo eruption only with natural source ODSs, produces an ozone depletion of 2.5% compared to two years before the eruption, and with 4.4% loss in the tropics. Based on the model results, the reduced ODSs and stratospheric cooling lighten the ozone depletion after super volcanic eruption.

Key words

stratospheric ozone volcanic eruptions stratospheric aerosols chemistry-climate model 

摘 要

随着平流层中臭氧损耗物质(ODSs)的不断清除, 由南极上空臭氧空洞的发现所引发的环境危机正在减轻, 并且臭氧层也在逐渐恢复. 然而, 强火山活动同样会造成严重的臭氧损耗, 从而威胁地球上的生命. 在本研究中, 利用了一个大气输送模式和一个化学气候模式, 来模拟超级火山爆发后造成的臭氧损耗. 模拟的火山事件为1991年的皮纳图博(Pinatubo)火山以及一个100×Pinatubo级别的火山. 结果表明, 在2050 RCP8.5 100×Pinatubo情形下, 全球平均臭氧损耗和爆发前两年相比大约为6%, 赤道地区为6.4%. 而一个理想情形, 即100×Pinatubo在自然源ODSs全部清除, 只剩自然源的背景下爆发后, 全球平均臭氧损耗和爆发前两年相比为2.5%, 赤道地区为4.4%. 根据模式结果, ODSs含量的下降以及平流层降温能够减轻超级火山爆发后造成的臭氧损耗.


平流层臭氧 火山爆发 平流层气溶胶 化学气候模式 


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This research was supported by the National Key Research and Development Project of China (Grant No. 2016YFA0600604), the National Natural Science Foundation of China (Grant No. 41461144001 and No. 41861144016), and the Youth Innovation Promotion Association of the Chinese Academy of Sciences (Grant No. 2014064). We thank the two anonymous referees for their comments on the manuscript.


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Copyright information

© Institute of Atmospheric Physics/Chinese Academy of Sciences, and Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Luyang Xu
    • 1
    • 2
  • Ke Wei
    • 1
    Email author
  • Xue Wu
    • 3
  • S. P. Smyshlyaev
    • 4
  • Wen Chen
    • 1
  • V. Ya. Galin
    • 5
  1. 1.Center for Monsoon System Research, Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina
  2. 2.University of Chinese Academy of SciencesBeijingChina
  3. 3.Key Laboratory of Middle Atmosphere and Global Environment ObservationInstitute of Atmospheric Physics, Chinese Academy of SciencesBeijingChina
  4. 4.Russian State Hydrometeorological UniversitySt. PetersburgRussia
  5. 5.Institute of Numerical Mathematics, Russian Academy of SciencesMoscowRussia

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