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

被引:44
作者
Li, Ruiyuan [1 ]
Xu, Miaoqing [1 ]
Li, Manchun [2 ]
Chen, Ziyue [1 ]
Zhao, Na [3 ,4 ]
Gao, Bingbo [5 ]
Yao, Qi [1 ]
机构
[1] Beijing Normal Univ, Coll Global Change & Earth Syst Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[2] Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Peoples R China
[3] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100049, Peoples R China
[4] Univ Chinese Acad Sci, Beijing 100080, Peoples R China
[5] China Agr Univ, Coll Land Sci & Technol, Beijing 100083, Peoples R China
关键词
METEOROLOGICAL INFLUENCES; ANTHROPOGENIC EMISSIONS; PM2.5; CONCENTRATIONS; NITROGEN-OXIDES; SURFACE OZONE; POLLUTION; OMI; TRENDS; URBAN; NOX;
D O I
10.5194/acp-21-15631-2021
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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.
引用
收藏
页码:15631 / 15646
页数:16
相关论文
共 60 条
[1]   Updated Smithsonian Astrophysical Observatory Ozone Monitoring Instrument (SAO OMI) formaldehyde retrieval [J].
Abad, G. Gonzalez ;
Liu, X. ;
Chance, K. ;
Wang, H. ;
Kurosu, T. P. ;
Suleiman, R. .
ATMOSPHERIC MEASUREMENT TECHNIQUES, 2015, 8 (01) :19-32
[2]  
[Anonymous], 2021, EARTHDATA
[3]   Exploring the role of land degradation on agricultural land use change dynamics [J].
Bajocco, S. ;
Smiraglia, D. ;
Scaglione, M. ;
Raparelli, E. ;
Salvati, L. .
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 636 :1373-1381
[4]   A new stratospheric and tropospheric NO2 retrieval algorithm for nadir-viewing satellite instruments: applications to OMI [J].
Bucsela, E. J. ;
Krotkov, N. A. ;
Celarier, E. A. ;
Lamsal, L. N. ;
Swartz, W. H. ;
Bhartia, P. K. ;
Boersma, K. F. ;
Veefkind, J. P. ;
Gleason, J. F. ;
Pickering, K. E. .
ATMOSPHERIC MEASUREMENT TECHNIQUES, 2013, 6 (10) :2607-2626
[5]   Investigating ambient ozone formation regimes in neighboring cities of shale plays in the Northeast United States using photochemical modeling and satellite retrievals [J].
Chang, Chih-Yuan ;
Faust, Eric ;
Hou, Xiangting ;
Lee, Pius ;
Kim, Hyun Cheol ;
Hedquist, Brent C. ;
Liao, Kuo-Jen .
ATMOSPHERIC ENVIRONMENT, 2016, 142 :152-170
[6]   The control of anthropogenic emissions contributed to 80% of the decrease in PM2.5 concentrations in Beijing from 2013 to 2017 [J].
Chen, Ziyue ;
Chen, Danlu ;
Kwan, Mei-Po ;
Chen, Bin ;
Gao, Bingbo ;
Zhuang, Yan ;
Li, Ruiyuan ;
Xu, Bing .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (21) :13519-13533
[7]   Understanding the causal influence of major meteorological factors on ground ozone concentrations across China [J].
Chen, Ziyue ;
Li, Ruiyuan ;
Chen, Danlu ;
Zhuang, Yan ;
Gao, Bingbo ;
Yang, Lin ;
Li, Manchun .
JOURNAL OF CLEANER PRODUCTION, 2020, 242
[8]   Evaluating the "2+26" regional strategy for air quality improvement during two air pollution alerts in Beijing: variations in PM2.5 concentrations, source apportionment, and the relative contribution of local emission and regional transport [J].
Chen, Ziyue ;
Chen, Danlu ;
Wen, Wei ;
Zhuang, Yan ;
Kwan, Mei-Po ;
Chen, Bin ;
Zhao, Bo ;
Yang, Lin ;
Gao, Bingbo ;
Li, Ruiyuan ;
Xu, Bing .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (10) :6879-6891
[9]   Understanding long-term variations of meteorological influences on ground ozone concentrations in Beijing During 2006-2016 [J].
Chen, Ziyue ;
Zhuang, Yan ;
Xie, Xiaoming ;
Chen, Danlu ;
Cheng, Nianliang ;
Yang, Lin ;
Li, Ruiyuan .
ENVIRONMENTAL POLLUTION, 2019, 245 :29-37
[10]   Understanding meteorological influences on PM2.5 concentrations across China: a temporal and spatial perspective [J].
Chen, Ziyue ;
Xie, Xiaoming ;
Cai, Jun ;
Chen, Danlu ;
Gao, Bingbo ;
He, Bin ;
Cheng, Nianliang ;
Xu, Bing .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2018, 18 (08) :5343-5358