Daily CO2 Emission Reduction Indicates the Control of Activities to Contain COVID-19 in China

• Published in: Innovation (New York, NY) NY), 2020-11, Vol.1 (3), p.100062, Article 100062
• Main Authors: Wang, Rong, Xiong, Yuankang, Xing, Xiaofan, Yang, Ruipu, Li, Jiarong, Wang, Yijing, Cao, Junji, Balkanski, Yves, Peñuelas, Josep, Ciais, Philippe, Hauglustaine, Didier, Sardans, Jordi, Chen, Jianmin, Ma, Jianmin, Xu, Tang, Kan, Haidong, Zhang, Yan, Oda, Tomohiro, Morawska, Lidia, Zhang, Renhe, Tao, Shu
• Format: Article
• Language: English
• Subjects: carbon emission; containment efficacy; correlation analysis; COVID-19 pandemic; energy consumption; integrated model; public health; social carbon cost
• ISSN: 2666-6758; 2666-6758
• DOI: 10.1016/j.xinn.2020.100062

Lockdown measures are essential to containing the spread of coronavirus disease 2019 (COVID-19), but they will slow down economic growth by reducing industrial and commercial activities. However, the benefits of activity control from containing the pandemic have not been examined and assessed. Here we use daily carbon dioxide (CO2) emission reduction in China estimated from statistical data for energy consumption and satellite data for nitrogen dioxide (NO2) measured by the Ozone Monitoring Instrument (OMI) as an indicator for reduced activities consecutive to a lockdown. We perform a correlation analysis to show that a 1% day−1 decrease in the rate of COVID-19 cases is associated with a reduction in daily CO2 emissions of 0.22% ± 0.02% using statistical data for energy consumption relative to emissions without COVID-19, or 0.20% ± 0.02% using satellite data for atmospheric column NO2. We estimate that swift action in China is effective in limiting the number of COVID-19 cases