气候变化领域集成服务门户(CCPortal): Identifying the spatiotemporal variations in ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis

CCPortal

DOI	10.5194/acp-21-15631-2021
	Identifying the spatiotemporal variations in ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis
	Li R.; Xu M.; Li M.; Chen Z.; Zhao N.; Gao B.; Yao Q.
发表日期	2021
ISSN	1680-7316
起始页码	15631
结束页码	15646
卷号	21 期号:20
英文摘要	Ozone formation regimes are closely related to the ratio of volatile organic compounds (VOCs) to NOx. Different ranges of HCHO/NO2 indicate three formation regimes, including VOC-limited, transitional, and NOx-limited regimes. Due to the unstable interactions between a diversity of precursors, the range of the transitional regime, which plays a key role in identifying ozone formation regimes, remains unclear. To overcome the uncertainties from single models and the lack of reference data, we employed two models, polynomial simulation and convergent cross-mapping (CCM), to identify the ranges of HCHO/NO2 across China based on ground observations and remote sensing datasets. The ranges of the transitional regime estimated by polynomial simulation and CCM were [1.0, 1.9] and [1.0, 1.8]. Since 2013, the ozone formation regime has changed to the transitional and NOx-limited regime all over China, indicating that ozone concentrations across China were mainly controlled by NOx. However, despite the NO2 concentrations, HCHO concentrations continuously exert a positive influence on ozone concentrations under transitional and NOx-limited regimes. Under the circumstance of national NOx reduction policies, the increase in VOCs became the major driver for the soaring ozone pollution across China. For an effective management of ozone pollution across China, the emission reduction in VOCs and NOx should be equally considered. © 2021 The Author(s).
语种	英语
scopus关键词	atmospheric chemistry; atmospheric pollution; concentration (composition); data set; identification method; observational method; ozone; reduction; remote sensing; spatiotemporal analysis; twenty first century; volatile organic compound; China
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/246490
作者单位	State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Sciences, Beijing Normal University, Beijing, 100875, China; School of Geography and Ocean Science, Nanjing University, Nanjing, 210023, China; State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100049, China; University of Chinese Academy of Sciences, Beijing, 100080, China; College of Land Science and Technology, China Agriculture University, Beijing, 100083, China
推荐引用方式 GB/T 7714	Li R.,Xu M.,Li M.,et al. Identifying the spatiotemporal variations in ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis[J],2021,21(20).
APA	Li R..,Xu M..,Li M..,Chen Z..,Zhao N..,...&Yao Q..(2021).Identifying the spatiotemporal variations in ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(20).
MLA	Li R.,et al."Identifying the spatiotemporal variations in ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.20(2021).