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Identifying the spatiotemporal variations in ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis

文献类型：期刊论文

作者Li, Ruiyuan2; Xu, Miaoqing2; Li, Manchun3; Chen, Ziyue2; Zhao, Na4,5; Gao, Bingbo1; Yao, Qi2
刊名ATMOSPHERIC CHEMISTRY AND PHYSICS
出版日期2021-10-19
卷号21期号:20页码:15631-15646
ISSN号1680-7316
DOI10.5194/acp-21-15631-2021
通讯作者Chen, Ziyue(zychen@bnu.edu.cn)
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.
WOS关键词METEOROLOGICAL INFLUENCES ; ANTHROPOGENIC EMISSIONS ; PM2.5 CONCENTRATIONS ; NITROGEN-OXIDES ; SURFACE OZONE ; POLLUTION ; OMI ; TRENDS ; URBAN ; NOX
资助项目Beijing Municipal Natural Science Foundation[8202031] ; Open Fund of the State Key Laboratory of Remote Sensing Science[OFSLRSS201926] ; Open Fund of the State Key Laboratory of Resources and Environmental Information System ; Fundamental Research Funds for the Central Universities
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000710512800001
出版者COPERNICUS GESELLSCHAFT MBH
资助机构Beijing Municipal Natural Science Foundation ; Open Fund of the State Key Laboratory of Remote Sensing Science ; Open Fund of the State Key Laboratory of Resources and Environmental Information System ; Fundamental Research Funds for the Central Universities
源URL[http://ir.igsnrr.ac.cn/handle/311030/167387]  
专题中国科学院地理科学与资源研究所
通讯作者Chen, Ziyue
作者单位1.China Agr Univ, Coll Land Sci & Technol, Beijing 100083, Peoples R China
2.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
3.Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100049, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714		 Li, Ruiyuan,Xu, Miaoqing,Li, Manchun,et al. Identifying the spatiotemporal variations in ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2021,21(20):15631-15646.
APA Li, Ruiyuan.,Xu, Miaoqing.,Li, Manchun.,Chen, Ziyue.,Zhao, Na.,...&Yao, Qi.(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),15631-15646.
MLA Li, Ruiyuan,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):15631-15646.

入库方式： OAI收割

来源：地理科学与资源研究所

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