气候变化领域集成服务门户(CCPortal): Quantifying daily NOx and CO2 emissions from Wuhan using satellite observations from TROPOMI and OCO-2

CCPortal

DOI	10.5194/acp-23-551-2023
	Quantifying daily NOx and CO2 emissions from Wuhan using satellite observations from TROPOMI and OCO-2
	Zhang, Qianqian; Boersma, K. Folkert; Zhao, Bin; Eskes, Henk; Chen, Cuihong; Zheng, Haotian; Zhang, Xingying
发表日期	2023
ISSN	1680-7316
EISSN	1680-7324
起始页码	551
结束页码	563
卷号	23 期号:1 页码:13
英文摘要	Quantification and control of NOx and CO2 emissions are essential across the world to limit adverse climate change and improve air quality. We present a new top-down method, an improved superposition column model to estimate day-to-day NOx and CO2 emissions from the large city of Wuhan, China, located in a polluted background. The latest released version 2.3.1 TROPOMI (TROPOspheric Monitoring Instrument) NO2 columns and version 10r of the Orbiting Carbon Observatory-2 (OCO-2)-observed CO2 mixing ratio are employed. We quantified daily NOx and CO2 emissions from Wuhan between September 2019 and October 2020 with an uncertainty of 31 % and 43 %, compared to 39 % and 49 % with the earlier v1.3 TROPOMI data, respectively. Our estimated NOx and CO2 emissions are verified against bottom-up inventories with minor deviations (< 3 % for the 2019 mean, ranging from -20 % to 48 % on a daily basis). Based on the estimated CO2 emissions, we also predicted daily CO2 column mixing ratio enhancements, which match well with OCO-2 observations (< 5 % bias, within +/- 0.3 ppm). We capture the day-to-day variation of NOx and CO2 emissions from Wuhan in 2019-2020, which does not reveal a substantial weekend reduction but does show a clear holiday reduction in the NOx and CO2 emissions. Our method also quantifies the abrupt decrease and slow NOx and CO2 emissions rebound due to the Wuhan lockdown in early 2020. This work demonstrates the improved superposition model to be a promising new tool for the quantification of city NOx and CO2 emissions, allowing policymakers to gain real-time information on spatial-temporal emission patterns and the effectiveness of carbon and nitrogen regulation in urban environments.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000913500500001
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/273698
作者单位	Wageningen University & Research; China Meteorological Administration; Royal Netherlands Meteorological Institute; Tsinghua University; China Meteorological Administration
推荐引用方式 GB/T 7714	Zhang, Qianqian,Boersma, K. Folkert,Zhao, Bin,et al. Quantifying daily NOx and CO2 emissions from Wuhan using satellite observations from TROPOMI and OCO-2[J],2023,23(1):13.
APA	Zhang, Qianqian.,Boersma, K. Folkert.,Zhao, Bin.,Eskes, Henk.,Chen, Cuihong.,...&Zhang, Xingying.(2023).Quantifying daily NOx and CO2 emissions from Wuhan using satellite observations from TROPOMI and OCO-2.ATMOSPHERIC CHEMISTRY AND PHYSICS,23(1),13.
MLA	Zhang, Qianqian,et al."Quantifying daily NOx and CO2 emissions from Wuhan using satellite observations from TROPOMI and OCO-2".ATMOSPHERIC CHEMISTRY AND PHYSICS 23.1(2023):13.