Please wait a minute...
Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

Postal Subscription Code 80-973

2018 Impact Factor: 3.883

Front. Environ. Sci. Eng.    2019, Vol. 13 Issue (5) : 76    https://doi.org/10.1007/s11783-019-1160-1
RESEARCH ARTICLE
Impacts of emissions and meteorological changes on China’s ozone pollution in the warm seasons of 2013 and 2017
Dian Ding1, Jia Xing1,2(), Shuxiao Wang1,2(), Xing Chang1, Jiming Hao1,2
1. State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
2. State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
 Download: PDF(2909 KB)   HTML
 Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks
Abstract

O3 increment is mainly caused by changes in meteorology rather than emissions.

Emission reduction is effective to reduce O3 nationwide, especially in summer.

Strengthened NOx controls are necessary to meet the ambient O3 standard.

We have quantified the impacts of anthropogenic emissions reductions caused by the Air Pollution Control Action Plan and changes in meteorological fields between 2013 and 2017 on the warm-season O3 concentration in China using a regional 3D chemical transport model. We found that the impact on daily maximum eight-hour (MDA8) O3 concentration by the meteorological variation that mostly increased O3 was greater than that from emission reduction, which decreased O3. Specifically, the control measures implemented since 2013 in China have reduced SO2, NOx, PM2.5, and VOC emissions by 33%, 25%, 30%, and 4% in 2017, while NH3 emissions have increased by 7%. The changes in anthropogenic emissions lowered MDA8 O3 by 0.4–3.7 ppb (0.8%–7.6%, varying by region and month), although MDA8 O3 was increased slightly in some urban areas (i.e. North China) at the beginning/end of warm seasons. Relative to 2013, the average 2 m temperature in 2017 shows increments in North, North-east, East, and South China (0.34℃–0.83℃) and decreases in Central China (0.24℃). The average solar radiation shows increments in North, North-east, and South China (7.0–9.7 w/m2) and decreases in Central, South-west, and North-west China (4.7–10.3 w/m2). The meteorological differences significantly change MDA8 O3 by -3.5–8.5 ppb (-8.2%–18.8%) with large temporal variations. The average MDA8 O3 was slightly increased in North, North-east, East, and South China. The response surface model suggests that the O3 formation regime transfers from NOx-saturated in April to NOx-limited in July on average in China.

Keywords O3 pollution      Meteorological influences      Emission reduction      NOx      VOC     
Corresponding Author(s): Jia Xing,Shuxiao Wang   
Issue Date: 14 October 2019
 Cite this article:   
Dian Ding,Jia Xing,Shuxiao Wang, et al. Impacts of emissions and meteorological changes on China’s ozone pollution in the warm seasons of 2013 and 2017[J]. Front. Environ. Sci. Eng., 2019, 13(5): 76.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-019-1160-1
https://academic.hep.com.cn/fese/EN/Y2019/V13/I5/76
Fig.1  The changes of AvgMDA8 O3 in warm-seasons due to (a) DTOT change, (b) DTmet-drive, (c) DMet-drive, (e) DBio-drive, and (f) DEmis-drive. (d) The change of ISOP emissions associated with the variation of meteorology in 2017 relative to 2013.
Fig.2  The difference of (left) temperature (℃) and (right) RGRND (w/m2) between 2013 and 2017 ( = 2017 – 2013) during the warm season.
Fig.3  The AvgMDA8 O3 response to meteorological fields (red) and anthropogenic emissions (blue) in April–September. Boxes show the range of the 5th and 95th percentile values and the whiskers are max and min values. The segment inside the rectangle is the median value.
Fig.4  AvgMDA8 O3 isopleths (ppb) for April (a and c) and July (b and d) in China (a and b) and Beijing (c and d). Circles (a–d) are the NOx and VOCs emission ratios in 2013 and triangles (a–d) are the emission ratios in 2017. The black dashed lines (a and c) are the ridgelines. In addition, the O3 concentrations in Beijing are shown under different NOx and VOCs reduction pathways (VOCs reduction/NOx reduction= 3:1 (gray), 2:1 (orange), 1:1 (light blue), 1:2 (yellow), 1:3 (dark blue)) in April (e) and July (f).
Fig.5  Spatial distribution of PR in China in (a) April and (b) July. PR changes from 0 to 2 indicate that the O3 chemistry will go through a transition from a NOx-saturated regime to a NOx-limited regime
1 A Anger, O Dessens, F Xi, T Barker, R Wu (2016). China’s air pollution reduction efforts may result in an increase in surface ozone levels in highly polluted areas. Ambio, 45(2): 254–265
https://doi.org/10.1007/s13280-015-0700-6
2 S Cai, Y Wang, B Zhao, S Wang, X Chang, J Hao (2017). The impact of the “Air Pollution Prevention and Control Action Plan” on PM2.5 concentrations in Jing-Jin-Ji region during 2012–2020. Science of the Total Environment, 580: 197–209
https://doi.org/10.1016/j.scitotenv.2016.11.188
3 China Ministry of Ecological Environment (2013). Beijing: China Ecological Environment Status Bulletin (in Chinese)
4 China Ministry of Ecological Environment (2017). Beijing: China Ecological Environment Status Bulletin (in Chinese)
5 D S Cohan, J W Boylan, A Marmur, M N Khan (2007). An integrated framework for multipollutant air quality management and its application in georgia. Environmental Management, 40(4): 545–554
https://doi.org/10.1007/s00267-006-0228-4
6 A J Ding, C B Fu, X Q Yang, J N Sun, L F Zheng, Y N Xie, E Herrmann, W Nie, T Petaja, V M Kerminen, M Kulmala (2013). Ozone and fine particle in the western Yangtze River Delta: An overview of 1 yr data at the SORPES station. Atmospheric Chemistry and Physics, 13(11): 5813–5830
https://doi.org/10.5194/acp-13-5813-2013
7 D Ding, J Xing, S X Wang, K Y Liu, J M Hao (2019). Estimated contributions of emissions controls, meteorological factors, population growth, and changes in baseline mortality to reductions in ambient PM2.5 and PM2.5-related mortality in China, 2013–2017. Environmental Health Perspectives, 127: 067009 doi:10.1289/EHP4157
8 J W He, Y X Wang, J M Hao, L L Shen, L Wang (2012). Variations of surface O3 in August at a rural site near Shanghai: Influences from the West Pacific subtropical high and anthropogenic emissions. Environmental Science and Pollution Research International, 19(9): 4016–4029
https://doi.org/10.1007/s11356-012-0970-5
9 J I Jeong, R J Park (2013). Effects of the meteorological variability on regional air quality in East Asia. Atmospheric Environment, 69: 46–55
https://doi.org/10.1016/j.atmosenv.2012.11.061
10 M Jerrett, R T Burnett, C A Pope III, K Ito, G Thurston, D Krewski, Y L Shi, E Calle, M Thun (2009). Long-Term ozone exposure and mortality. New England Journal of Medicine, 360(11): 1085–1095
https://doi.org/10.1056/NEJMoa0803894
11 S Lou, H Liao, Y Yang, Q Mu (2015). Simulation of the interannual variations of tropospheric ozone over China: Roles of variations in meteorological parameters and anthropogenic emissions. Atmospheric Environment, 122: 839–851
https://doi.org/10.1016/j.atmosenv.2015.08.081
12 H Lu, X Lyu, H Cheng, Z Ling, H Guo (2019). Overview on the spatial-temporal characteristics of the ozone formation regime in China. Environmental science. Processes & impacts, 21: 916–929
13 J M Mcgrath, A M Betzelberger, S W Wang, E Shook, X G Zhu, S P Long, E A Ainsworth (2015). An analysis of ozone damage to historical maize and soybean yields in the United States. Proceedings of the National Academy of Sciences of the United States of America, 112(46): 14390–14395
14 P J Reddy, G G Pfister (2016). Meteorological factors contributing to the interannual variability of midsummer surface ozone in Colorado, Utah, and other western US states. Journal of Geophysical Research, D, Atmospheres, 121(5): 2434–2456
https://doi.org/10.1002/2015JD023840
15 K M Seltzer, D T Shindell, C S Malley (2018). Measurement-based assessment of health burdens from long-term ozone exposure in the United States, Europe, and China. Environmental Research Letters, 13(10): 104018
https://doi.org/10.1088/1748-9326/aae29d
16 M Shao, S Lu, Y Liu, X Xie, C Chang, S Huang, Z Chen (2009a). Volatile organic compounds measured in summer in Beijing and their role in ground-level ozone formation. Journal of Geophysical Research, D, Atmospheres, 114(D2): D00G06
https://doi.org/10.1029/2008JD010863
17 M Shao, Y Zhang, L Zeng, X Tang, J Zhang, L Zhong, B Wang (2009b). Ground-level ozone in the Pearl River Delta and the roles of VOC and NOx in its production. Journal of Environmental Management, 90(1): 512–518
https://doi.org/10.1016/j.jenvman.2007.12.008
18 L Sun, L Xue, Y Wang, L Li, J Lin, R Ni, Y Yan, L Chen, J Li, Q Zhang, W Wang (2018). Impacts of meteorology and emissions on surface ozone increases over Central Eastern China between 2003 and 2015. Atmospheric Chemistry and Physics Discussion, 19(3): 1–28
https://doi.org/10.5194/acp-2018-723
19 Z Tan, K Lu, H Dong, M Hu, X Li, Y Liu, S Lu, M Shao, R Su, H Wang, Y Wu, A Wahner, Y Zhang (2018). Explicit diagnosis of the local ozone production rate and the ozone-NOx-VOC sensitivities. Science Bulletin, 63(16): 1067–1076
https://doi.org/10.1016/j.scib.2018.07.001
20 Z Tan, K Lu, M Jiang, R Su, H Wang, S Lou, Q Fu, C Zhai, Q Tan, D Yue, D Chen, Z Wang, S Xie, L Zeng, Y Zhang (2019). Daytime atmospheric oxidation capacity in four Chinese megacities during the photochemically polluted season: A case study based on box model simulation. Atmospheric Chemistry and Physics, 19(6): 3493–3513
https://doi.org/10.5194/acp-19-3493-2019
21 S X Wang, B Zhao, S Y Cai, Z Klimont, C P Nielsen, T Morikawa, J H Woo, Y Kim, X Fu, J Y Xu, J M Hao, K B He (2014). Emission trends and mitigation options for air pollutants in East Asia. Atmospheric Chemistry and Physics, 14(13): 6571–6603
https://doi.org/10.5194/acp-14-6571-2014
22 T Wang, L Xue, P Brimblecombe, Y F Lam, L Li, L Zhang (2017). Ozone pollution in China: A review of concentrations, meteorological influences, chemical precursors, and effects. Science of the Total Environment, 575: 1582–1596
https://doi.org/10.1016/j.scitotenv.2016.10.081
23 J Xing, D Ding, S Wang, Z Dong, J T Kelly, C Jang, Y Zhu, J Hao (2019). Development and application of observable response indicators for design of an effective ozone and fine particle pollution control strategy in China. Atmospheric Chemistry and Physics Discussion, 2019: 1–44
https://doi.org/10.5194/acp-2019-183
24 J Xing, D Ding, S Wang, B Zhao, C Jang, W Wu, F Zhang, Y Zhu, J Hao (2018). Quantification of the enhanced effectiveness of NOx control from simultaneous reductions of VOC and NH3 for reducing air pollution in the Beijing-Tianjin-Hebei region, China. Atmospheric Chemistry and Physics, 18(11): 7799–7814
https://doi.org/10.5194/acp-18-7799-2018
25 J Xing, S X Wang, C Jang, Y Zhu, J M Hao (2011). Nonlinear response of ozone to precursor emission changes in China: A modeling study using response surface methodology. Atmospheric Chemistry and Physics, 11(10): 5027–5044
https://doi.org/10.5194/acp-11-5027-2011
26 C Zhao, Y Wang, Q Yang, R Fu, D Cunnold, Y Choi (2010). Impact of East Asian summer monsoon on the air quality over China: View from space. Journal of Geophysical Research, D, Atmospheres, 115(D9): D09301
https://doi.org/10.1029/2009JD012745
27 B Zheng, D Tong, M Li, F Liu, C Hong, G Geng, H Li, X Li, L Peng, J Qi, L Yan, Y Zhang, H Zhao, Y Zheng, K He, Q Zhang (2018). Trends in China’s anthropogenic emissions since 2010 as the consequence of clean air actions. Atmospheric Chemistry and Physics, 18(19): 14095–14111
https://doi.org/10.5194/acp-18-14095-2018
[1] FSE-19065-OF-DD_suppl_1 Download
[1] Qiuzhun Chen, Xiang Zhang, Bing Li, Shengli Niu, Gaiju Zhao, Dong Wang, Yue Peng, Junhua Li, Chunmei Lu, John Crittenden. Insight into the promotion mechanism of activated carbon on the monolithic honeycomb red mud catalyst for selective catalytic reduction of NOx[J]. Front. Environ. Sci. Eng., 2021, 15(5): 92-.
[2] Lina Gan, Kezhi Li, Hejingying Niu, Yue Peng, Jianjun Chen, Yuandong Huang, Junhua Li. Simultaneous removal of NOx and chlorobenzene on V2O5/TiO2 granular catalyst: Kinetic study and performance prediction[J]. Front. Environ. Sci. Eng., 2021, 15(4): 70-.
[3] Pol Masclans Abelló, Vicente Medina Iglesias, M. Antonia de los Santos López, Jesús Álvarez-Flórez. Real drive cycles analysis by ordered power methodology applied to fuel consumption, CO2, NOx and PM emissions estimation[J]. Front. Environ. Sci. Eng., 2021, 15(1): 4-.
[4] Wenjing Lu, Yawar Abbas, Muhammad Farooq Mustafa, Chao Pan, Hongtao Wang. A review on application of dielectric barrier discharge plasma technology on the abatement of volatile organic compounds[J]. Front. Environ. Sci. Eng., 2019, 13(2): 30-.
[5] Cong Liu, Yinping Zhang. Relations between indoor and outdoor PM2.5 and constituent concentrations[J]. Front. Environ. Sci. Eng., 2019, 13(1): 5-.
[6] In-Sun Kang, Jinying Xi, Hong-Ying Hu. Photolysis and photooxidation of typical gaseous VOCs by UV Irradiation: Removal performance and mechanisms[J]. Front. Environ. Sci. Eng., 2018, 12(3): 8-.
[7] Lianjie Guo, Nan Jiang, Jie Li, Kefeng Shang, Na Lu, Yan Wu. Abatement of mixed volatile organic compounds in a catalytic hybrid surface/packed-bed discharge plasma reactor[J]. Front. Environ. Sci. Eng., 2018, 12(2): 15-.
[8] Mingxin Dong, Jun Wang, Jinxin Zhu, Jianqiang Wang, Wulin Wang, Meiqing Shen. Effects of Pd doping on N2O formation over Pt/BaO/Al2O3 during NOx storage and reduction process[J]. Front. Environ. Sci. Eng., 2017, 11(6): 11-.
[9] Quanming Liang, Jian Li, Hong He, Wenjun Liang, Tiejun Zhang, Xing Fan. Effects of SO2 on the low temperature selective catalytic reduction of NO by NH3 over CeO2-V2O5-WO3/TiO2 catalysts[J]. Front. Environ. Sci. Eng., 2017, 11(4): 4-.
[10] Christian GEORGE, Anne BEELDENS, Fotios BARMPAS, Jean-François DOUSSIN, Giuseppe MANGANELLI, Hartmut HERRMANN, Jörg KLEFFMANN, Abdelwahid MELLOUKI. Impact of photocatalytic remediation of pollutants on urban air quality[J]. Front. Environ. Sci. Eng., 2016, 10(5): 2-.
[11] He NIU,Ziwei MO,Min SHAO,Sihua LU,Shaodong XIE. Screening the emission sources of volatile organic compounds (VOCs) in China by multi-effects evaluation[J]. Front. Environ. Sci. Eng., 2016, 10(5): 1-.
[12] Nanli QIAO,Xin ZHANG,Chi HE,Yang LI,Zhongshen ZHANG,Jie CHENG,Zhengping HAO. Enhanced performances in catalytic oxidation of o-xylene over hierarchical macro-/mesoporous silica-supported palladium catalysts[J]. Front. Environ. Sci. Eng., 2016, 10(3): 458-466.
[13] Junhua LI,Yue PENG,Huazhen CHANG,Xiang LI,John C. CRITTENDEN,Jiming HAO. Chemical poison and regeneration of SCR catalysts for NOx removal from stationary sources[J]. Front. Environ. Sci. Eng., 2016, 10(3): 413-427.
[14] Hengyi DUAN,Xiaotu LIU,Meilin YAN,Yatao WU,Zhaorong LIU. Characteristics of carbonyls and volatile organic compounds (VOCs) in residences in Beijing, China[J]. Front. Environ. Sci. Eng., 2016, 10(1): 73-84.
[15] Jinying XI,Insun KANG,Hongying HU,Xian ZHANG. A biofilter model for simultaneous simulation of toluene removal and bed pressure drop under varied inlet loadings[J]. Front. Environ. Sci. Eng., 2015, 9(3): 554-562.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed