利用二维模型推断一氧化碳的长期趋势

Renjian Zhang, Mingxing Wang, Lixin Ren
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引用次数: 8

摘要

利用全球二维化学模型,研究了工业化前至2020年全球CH4、CO和OH在给定排放情景下的长期变化趋势。计算出的1840年前全球平均CO浓度为27ppbv, 1991年CO浓度为76ppbv,预计2020年CO浓度为105ppbv。从1840年到1991年,OH的浓度从7.17×105变为5.79×105分子/cm3,即下降了19%。模型得出的CH4的长期趋势与观测结果吻合较好。1983-1991年,该模式估算的CH4年增幅为12.1 ~ 13.3 ppbv,观测值估算的CH4年增幅为11.1 ~ 11.6 ppbv。1980年代CO的计算增长率为1.03-1.06% /年,即6.9-7.9 ppbv/年。利用该模型研究了20世纪90年代初CO浓度下降的原因。我们发现CO排放的减少和平流层臭氧的消耗是最好的解释,它们分别占CO浓度下降的70%和30%。模型结果还表明,CH4排放的可能减少对CO浓度的变化影响不大,但CO排放的减少可以显著抵消CH4的增长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Long-term trends of carbon monoxide inferred using a two-dimensional model

A global two-dimensional chemistry model is used to study the long-term trends of CH4, CO, and OH from pre-industrial times to 2020 with given emission scenarios according to the increase of world population. The calculated global-averaged concentration of CO is 27 ppbv before 1840, the concentration of CO is 76 ppbv in 1991, and is estimated to be 105 ppbv in 2020. From 1840 to 1991, the concentration of OH changed from 7.17×105 to 5.79×105 molecules/cm3, i.e., decreased by 19%. The long-term trends of CH4 derived from the model are in good agreement with observation results. The annual increase of CH4 during 1983–1991 is 12.1–13.3 ppbv by this model and 11.1–11.6 ppbv by observation. The calculated growth rate of CO in 1980s is 1.03–1.06%/yr i.e., 6.9–7.9 ppbv/yr. The model is used to investigate why the CO concentration decreased at the beginning of 1990s. We find that the decrease of CO emissions and depletion of stratospheric ozone are the best explanation, which account for 70% and 30% of the decrease of CO concentration, respectively. The model results also show that possible reduction of CH4 emission has little influence on the change of CO concentrations though the reduction of CO emission can counteract the growth of CH4 significantly.

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