气候变化领域集成服务门户(CCPortal): Quantifying the emission changes and associated air quality impacts during the COVID-19 pandemic on the North China Plain: A response modeling study

CCPortal

DOI	10.5194/acp-20-14347-2020
	Quantifying the emission changes and associated air quality impacts during the COVID-19 pandemic on the North China Plain: A response modeling study
	Xing J.; Li S.; Jiang Y.; Wang S.; Ding D.; Dong Z.; Zhu Y.; Hao J.
发表日期	2020
ISSN	1680-7316
起始页码	14347
结束页码	14359
卷号	20 期号:22
英文摘要	Quantification of emission changes is a prerequisite for the assessment of control effectiveness in improving air quality. However, the traditional bottom-up method for characterizing emissions requires detailed investigation of emissions data (e.g., activity and other emission parameters) that usually takes months to perform and limits timely assessments. Here we propose a novel method to address this issue by using a response model that provides real-Time estimation of emission changes based on air quality observations in combination with emission-concentration response functions derived from chemical transport modeling. We applied the new method to quantify the emission changes on the North China Plain (NCP) due to the COVID-19 pandemic shutdown, which overlapped the Spring Festival (also known as Chinese New Year) holiday. Results suggest that the anthropogenic emissions of NO2, SO2, volatile organic compound (VOC) and primary PM2:5 on the NCP were reduced by 51 %, 28 %, 67% and 63 %, respectively, due to the COVID-19 shutdown, indicating longer and stronger shutdown effects in 2020 compared to the previous Spring Festival holiday. The reductions of VOC and primary PM2:5 emissions are generally effective in reducing O3 and PM2:5 concentrations. However, such air quality improvements are largely offset by reductions in NOx emissions. NOx emission reductions lead to increases in O3 and PM2:5 concentrations on the NCP due to the strongly VOC-limited conditions in winter. A strong NH3-rich condition is also suggested from the air quality response to the substantial NOx emission reduction. Well-designed control strategies are recommended based on the air quality response associated with the unexpected emission changes during the COVID-19 period. In addition, our results demonstrate that the new response-based inversion model can well capture emission changes based on variations in ambient concentrations and thereby illustrate the great potential for improving the accuracy and efficiency of bottom-up emission inventory methods. © 2020 Copernicus GmbH. All rights reserved.
语种	英语
scopus关键词	air quality; atmospheric pollution; carbon emission; COVID-19; disease spread; emission inventory; pollutant transport; viral disease; China; North China Plain
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/247340
作者单位	State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, 100084, China; School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China; College of Environment and Energy, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou, 510006, China
推荐引用方式 GB/T 7714	Xing J.,Li S.,Jiang Y.,et al. Quantifying the emission changes and associated air quality impacts during the COVID-19 pandemic on the North China Plain: A response modeling study[J],2020,20(22).
APA	Xing J..,Li S..,Jiang Y..,Wang S..,Ding D..,...&Hao J..(2020).Quantifying the emission changes and associated air quality impacts during the COVID-19 pandemic on the North China Plain: A response modeling study.ATMOSPHERIC CHEMISTRY AND PHYSICS,20(22).
MLA	Xing J.,et al."Quantifying the emission changes and associated air quality impacts during the COVID-19 pandemic on the North China Plain: A response modeling study".ATMOSPHERIC CHEMISTRY AND PHYSICS 20.22(2020).