National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki, 305-8506, Japan.
Japan Agency for Marine-Earth Science and Technology (JAMSTEC), 3173-25 Syowa-machi, Kanazawa-ku, Yokohama, 236-0001, Japan.
Sci Rep. 2020 Oct 29;10(1):18688. doi: 10.1038/s41598-020-75763-6.
The COVID-19 pandemic caused drastic reductions in carbon dioxide (CO) emissions, but due to its large atmospheric reservoir and long lifetime, no detectable signal has been observed in the atmospheric CO growth rate. Using the variabilities in CO (ΔCO) and methane (ΔCH) observed at Hateruma Island, Japan during 1997-2020, we show a traceable CO emission reduction in China during February-March 2020. The monitoring station at Hateruma Island observes the outflow of Chinese emissions during winter and spring. A systematic increase in the ΔCO/ΔCH ratio, governed by synoptic wind variability, well corroborated the increase in China's fossil-fuel CO (FFCO) emissions during 1997-2019. However, the ΔCO/ΔCH ratios showed significant decreases of 29 ± 11 and 16 ± 11 mol mol in February and March 2020, respectively, relative to the 2011-2019 average of 131 ± 11 mol mol. By projecting these observed ΔCO/ΔCH ratios on transport model simulations, we estimated reductions of 32 ± 12% and 19 ± 15% in the FFCO emissions in China for February and March 2020, respectively, compared to the expected emissions. Our data are consistent with the abrupt decrease in the economic activity in February, a slight recovery in March, and return to normal in April, which was calculated based on the COVID-19 lockdowns and mobility restriction datasets.
新冠疫情导致二氧化碳(CO)排放量大幅减少,但由于 CO 在大气中储量巨大且寿命长,目前在大气 CO 增长率中并未检测到可察觉的信号。利用日本波照间岛 1997-2020 年期间观测到的 CO(ΔCO)和甲烷(ΔCH)变化,我们发现中国在 2020 年 2-3 月期间的 CO 排放量可被追踪到减少。波照间岛的监测站在冬季和春季观测到中国排放物的流出。受天气变化影响,ΔCO/ΔCH 比值呈系统增加,很好地印证了 1997-2019 年期间中国化石燃料 CO(FFCO)排放量的增加。然而,与 2011-2019 年的平均值 131±11mol/mol 相比,2020 年 2 月和 3 月的 ΔCO/ΔCH 比值分别显著下降了 29±11 和 16±11mol/mol。通过将观测到的 ΔCO/ΔCH 比值投射到运输模型模拟中,我们估计与预期排放量相比,2020 年 2 月和 3 月中国 FFCO 排放量分别减少了 32±12%和 19±15%。我们的数据与基于新冠疫情封锁和流动性限制数据集计算得出的 2 月经济活动的突然减少、3 月略有恢复以及 4 月恢复正常的情况相一致。