论文标题
基于卫星的估计值估计中国公司的下降和反弹$ _2 $排放量在COVID-19大流行期间
Satellite-based estimates of decline and rebound in China's CO$_2$ emissions during COVID-19 pandemic
论文作者
论文摘要
CO $ _2 $的变化在Covid-19-19大流行期间的排放已从有关运输和发电等活动的指标估计。在这里，我们使用卫星观测以及自下而上的信息来跟踪大流行期间CO $ _2 $排放的日常动态。与活动数据不同，我们的基于观察的分析可以独立评估，并可以对空间说明变化提供更详细的见解。具体而言，我们使用no $ _2 $的tropomi观察结果来推断为期十天的no $ _x $和CO $ _2 $ _2 $排放，从而区分了行业和省份的排放。在2020年1月至4月之间，中国的CO $ _2 $排放量与2019年同期相比下降了11.5％，但是由于工业活动集中的省份的快速经济复苏，因此排放率反弹到了庞大的水平。
Changes in CO$_2$ emissions during the COVID-19 pandemic have been estimated from indicators on activities like transportation and electricity generation. Here, we instead use satellite observations together with bottom-up information to track the daily dynamics of CO$_2$ emissions during the pandemic. Unlike activity data, our observation-based analysis can be independently evaluated and can provide more detailed insights into spatially-explicit changes. Specifically, we use TROPOMI observations of NO$_2$ to deduce ten-day moving averages of NO$_x$ and CO$_2$ emissions over China, differentiating emissions by sector and province. Between January and April 2020, China's CO$_2$ emissions fell by 11.5% compared to the same period in 2019, but emissions have since rebounded to pre-pandemic levels owing to the fast economic recovery in provinces where industrial activity is concentrated.
