Review on Atmospheric Ozone Pollution in China: Formation, Spatiotemporal Distribution, Precursors and Affecting Factors
Abstract
:1. Introduction
2. Photochemical Formation Mechanism of Tropospheric O3
3. Spatiotemporal Distribution of Tropospheric Ozone in China
4. Relationship between Tropospheric Ozone and Its Precursors
- (1)
- Ozone production efficiency (OPE, defined as the number of ozone molecules produced for each NOx molecule oxidized). A lower OPE value (<4) indicates that the free radical cycling efficiency is lower, so VOCs are the limiting factor, and the formation of O3 is controlled by VOCs. Conversely, a higher OPE value (>7) indicates that the free radical cycling is efficient and the formation of O3 is limited by NOx. When the OPE value is medium (4–7), O3 generation is controlled by both VOCs and NOx. The OPE values in rural and suburban areas of Beijing were measured during the 2008 Olympics [59]. The results showed that higher OPE values corresponded to NOx limiting under low NOx conditions, whereas OPE values were lower under high NOx conditions.
- (2)
- Relative incremental reactivity (RIR, defined as the ratio of the decrease in O3 production rate to a given reduction in the precursor concentration) is a measure of the sensitivity of a single precursor. Cardelino et al. [60] first used a scenario test calculated by a box model to simulate the response of ozone to changes in precursors. The calculation result can be expressed by the following formula.
- (3)
- H2O2/HNO3 ratio method. A ratio of 0.8–1.2 is used to separate NOx-sensitive and VOC-sensitive regions. If the ratio is small, it can be considered as a sensitive area of VOCs, otherwise it is a sensitive area of NOx. Based on this method, the urban areas were sensitive to VOCs while the rural areas were sensitive to NOx in Hong Kong [62].
- (4)
- Empirical kinetic modelling approach (EKMA). The EKMA model can give the isoline of O3 maxima under different NOx and VOCs due to photochemical reactions. The initial design was to simulate the maximum O3 concentrations under different precursor emission scenarios to develop O3-polluting precursor emission mitigation strategies [48]. The EKMA diagram illustrates the sensitivity of O3 to VOCs and NOx and how the ratio of VOCs/NOx affects the production of O3. The ridge line of the EKMA curve is formed by connecting the convex points of each curve. EKMA is divided into two parts: when the VOCs/NOx ratio is located in the left of the ridge line, the O3 formation is limited by VOCs, otherwise the O3 formation is limited by NOx [63]. The advantages of the EKMA curve method are as follows: Firstly, it can provide both a qualitative and quantitative basis for O3 prevention and control; Secondly, it is a link between secondary and primary pollutants, which can better express the relationship between the two types of pollutants; Thirdly, the shape of EKMA will change under different conditions, which can better reflect the specific local conditions. For example, a Chinese EKMA was developed by following the traditional approach of constructing EKMA curves to explore the cost-effective emission reduction strategies for both O3 and PM2.5, suggesting that a strategy of “focusing on VOCs first, then NOx” could be effective in controlling PM2.5 and O3 pollution mitigation in the long term [64].
5. Factors Affecting Atmospheric Ozone Level
5.1. Precursors
5.2. Meteorological Factors
5.3. Atmospheric Particulates
5.4. Weekend Effect
6. Prevention and Control Measures for Tropospheric Ozone Pollution
- (1)
- The technology and energy structures should be improved, and the emissions of NOx and highly reactive VOCs should be controlled. Pollution can be reduced by closing high-polluting factories, setting up coal-free zones, restricting vehicles, installing tailpipe cleaners and promoting the use of “three-way” catalytic converters. In addition, improving the fuel, changing the composition of gasoline, or using alternative fuels can reduce the pollution of tail gas.
- (2)
- The monitoring and management should be strengthened. Measures should be taken to avoid the occurrence of photochemical smog by using warnings issued from monitoring equipment. When oxidant concentrations reach dangerous levels, authorities should prohibit garbage incineration, reduce road vehicles or shut down some factories temporarily. Emissions from oil refineries, petrochemical plants and nitrogen fertilizer plants should be severely restricted by regulations. The VOCs from landfills have been reported to contribute to the formation of O3 and photochemical smog [96]. Therefore, there is a need for integrated waste management policies, including source reduction and waste recovery, to reduce VOCs emissions.
- (3)
- The prevention and control of VOCs and NOx pollution should be strengthened. The control measures should focus on the industries with relatively serious pollution, such as petrochemicals and printing. The comprehensive treatments for the waste gas produced by these processes should be strengthened. The waste-gas-containing pollutants should be centralized processing, and the treated tail gas should be recycled. The use of raw and auxiliary materials with low VOCs content and low reactivity should be promoted, and the production processes should be optimized as much as possible. The implementation of urban forest measures for O3 should be undertaken in noncompliant areas, that is, the gradual replacement of high-BVOC-emission species with low-emission species, which can effectively control the emission of VOCs to reduce O3 production [97]. Some regions have been effective in curbing O3 pollution through synergistic control of VOCs and NOx, but O3 remains a problem in most places, especially in areas with high ozone pollution such as Beijing–Tianjin–Hebei, the Yangtze River Delta and the Pearl River Delta. Xiang et al. [64] pointed out that equally reducing NOx and VOCs emissions in the initial stage may have the least benefit for air pollution improvement in Beijing–Tianjin–Hebei and the surrounding areas because the NOx-focused strategies may exacerbate O3 pollution. Emission reduction programs should be optimized in conjunction with short-term or long-term targets to control VOCs and NOx emissions more scientifically.
- (4)
- O3 pollution should be controlled in coordination with PM2.5/PM10. O3 and PM2.5 co-pollution conditions occur under meteorological conditions of high relative humidity, high surface air temperature and low wind speed [98]. When PM2.5 and O3 interact under different ambient meteorological conditions, it depends on the dominant party. Tropospheric O3 and particulate matter interact through aerosol formation, nonhomogeneous reactions on the surface of the particulate matter and changes in the aerosol-induced photolysis rate. The relationship between PM2.5/PM10 and the atmospheric ozone is therefore complex. High PM2.5/PM10 concentrations can affect the aerosol radiative effects and the surface inhomogeneous reactions, which are also influenced by different regions and meteorology, with long-range transport of air masses bringing about cross-regional pollution of PM2.5 and O3 [99]. Long-term mitigation of PM2.5 and O3 pollution control should be addressed by optimizing the zoning of prevention and control areas and implementing local and targeted measures. Predictive simulation models and representative regional monitoring networks should be developed, and synergistic mitigation strategies for PM2.5 and O3 pollution should be explored. The effective synergistic control measures remain a difficult area for future research.
7. Summary and Recommendations
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Acknowledgments
Conflicts of Interest
References
- Wang, Y.; Jiang, H.; Xiao, Z.; Zhang, X.; Zhou, G.; Yu, S. Extracting temporal and spatial distribution information about total ozone amount in China based on OMI satellite data. Environ. Sci. Technol. 2009, 32, 177–181. (In Chinese) [Google Scholar]
- Lin, Y.; Wang, Q.; Fu, Q.; Duan, Y.; Xu, J.; Liu, Q.; Li, F.; Huang, K. Temporal-spatial characteristics and impact factors of ozone pollution in Shanghai. Environ. Monit. China 2017, 33, 60–67. (In Chinese) [Google Scholar]
- Ou, H. Prevention and control of ozone pollution in ambient air. Guangdong Chem. Ind. 2019, 46, 113–114. (In Chinese) [Google Scholar]
- Cao, J.; Zhu, J.; Zeng, Q.; Li, C. Research advance in the effect of elevated O3 on characteristics of photosynthesis. J. Biol. 2012, 29, 66–70. (In Chinese) [Google Scholar]
- Geng, F.; Liu, Q.; Chen, Y. Discussion on the research of Surface Ozone. Desert Oasis Meteor. 2012, 6, 8–14. (In Chinese) [Google Scholar]
- Meul, S.; Langematz, U.; Kröger, P.; Oberländer-Hayn, S.; Jöckel, P. Future changes in the stratosphere-to-troposphere ozone mass flux and the contribution from climate change and ozone recovery. Atmos. Chem. Phys. 2018, 18, 721–7738. [Google Scholar] [CrossRef] [Green Version]
- Lin, C.; Chang, C.; Chan, C.; Kuo, C.; Chen, W.; Chu, D.; Liu, S. Characteristics of springtime profiles and sources of ozone in the low troposphere over northern Taiwan. Atmos. Environ. 2010, 44, 182–193. [Google Scholar] [CrossRef]
- Gaudel, A.; Cooper, O.R.; Ancellet, G.; Barret, B.; Boynard, A.; Burrows, J.P.; Clerbaux, C.; Coheur, P.-F.; Cuesta, J.; Cuevas, E.; et al. Tropospheric Ozone Assessment Report: Present-day distribution and trends of tropospheric ozone relevant to climate and global atmospheric chemistry model evaluation. Elem. Sci. Anth. 2018, 6, 2–58. [Google Scholar] [CrossRef]
- Kalabokas, P.D.; Thouret, V.; Cammas, J.-P.; Volz-Thomas, A.; Boulanger, D.; Repapis, C.C. The geographical distribution of meteorological parameters associated with high and low summer ozone levels in the lower troposphere and the boundary layer over the eastern Mediterranean (Cairo case). Tellus B 2015, 67, 1–24. [Google Scholar] [CrossRef] [Green Version]
- Monks, P.S.; Archibald, A.T.; Colette, A.; Cooper, O.; Coyle, M.; Derwent, R.; Fowler, D.; Granier, C.; Law, K.S.; Mills, G.E.; et al. Tropospheric ozone and its precursors from the urban to the global scale from air quality to short-lived climate forcer. Atmos. Chem. Phys. 2015, 15, 8889–8973. [Google Scholar] [CrossRef] [Green Version]
- Dufour, G.; Eremenko, M.; Cuesta, J.; Doche, C.; Foret, G.; Beekmann, M.; Cheiney, A.; Wang, Y.; Cai, Z.; Liu, Y.; et al. Springtime daily variations in lower-tropospheric ozone over east Asia: The role of cyclonic activity and pollution as observed from space with IASI. Atmos. Chem. Phys. 2015, 15, 10839–10856. [Google Scholar] [CrossRef] [Green Version]
- Zheng, L.; Xu, T.; Chen, Z.; Wang, H. Characteristics and influencing factors of ozone pollution in summer in Chengdu. J. Meteor. Environ. 2019, 35, 78–84. (In Chinese) [Google Scholar]
- Liu, F.; Xu, Y. Review of surface ozone modeling system. Environ. Monit. China 2017, 33, 1–15. (In Chinese) [Google Scholar]
- Wang, T.; Xue, L.; Brimblecombe, P.; Lam, Y.F.; Li, L.; Zhang, L. Ozone pollution in China: A review of concentrations, meteorological influences, chemical precursors, and effects. Sci. Total Environ. 2017, 575, 1582–1596. [Google Scholar] [CrossRef] [PubMed]
- Duan, Y.; Zhang, Y.; Wang, D.; Xu, J.; Wei, H.; Cui, H. Spatial-temporal patterns analysis of ozone pollution in several cities of China. Admin. Tech. Environ. Monit. 2011, 23, 34–39. (In Chinese) [Google Scholar]
- Sadanaga, Y.; Sengen, M.; Takenaka, N.; Bandow, H. Analyses of the ozone weekend effect in tokyo, Japan: Regime of oxidant (O3 + NO2) production. Aerosol Air Qual. Res. 2012, 12, 161–168. [Google Scholar] [CrossRef]
- Bowman, F.M.; Seinfeld, J.H. Ozone productivity of atmospheric organics. J. Geophys. Res. 1994, 99, 5309–5324. [Google Scholar] [CrossRef]
- Abdul-Wahab, S.A.; Bakheit, C.S.; Al-Alawi, S.M. Principal component and multiple regression analysis in modelling of ground-level ozone and factors affecting its concentrations. Environ. Model. Softw. 2005, 20, 1263–1271. [Google Scholar] [CrossRef]
- Li, Z.; Yang, L.; Hua, D.; Fang, J.; Huang, W.; Sun, L.; Wang, C. Spatial pattern of surface ozone and its relation with meteorological variables in China during 2013–2018. Res. Environ. Sci. 2021, 34, 2094–2104. Available online: https://doi.org/10.13198/j.issn.1001-6929.2021.06.16 (accessed on 28 November 2021). (In Chinese).
- Liu, X.; Lou, S.; Chen, Y.; Liu, Q.; Wang, J.; Shan, Y.; Huang, S.; Du, H. Spatiotemporal distribution of ground-level ozone in mid-east China based on OMI observations. Acta Sci. Circumstantiae 2016, 36, 2811–2818. (In Chinese) [Google Scholar]
- Jiang, L.; Bai, L. Spatio-temporal characteristics of urban air pollutions and their causal relationships: Evidence from Beijing and its neighboring cities. Sci. Rep. 2018, 8, 1279. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Wang, Z.; Li, J.; Liang, L. Spatio-temporal evolution of ozone pollution and its influencing factors in the Beijing-Tianjin-Hebei urban agglomeration. Environ. Pollut. 2020, 256, 113419. [Google Scholar] [CrossRef] [PubMed]
- Cheng, L.; Wang, S.; Gong, Z.; Yang, Q.; Wang, Y. Pollution trends of ozone and its characteristics of temporal and spatial distribution in Beijing-Tianjin-Hebei region. Environ. Monit. China 2017, 33, 14–21. (In Chinese) [Google Scholar]
- Zhang, Q.; Zhang, X. Ozone spatial-temporal distribution and trend over China since 2013: Insight from satellite and surface observation. Environ. Sci. 2019, 40, 1132–1142. (In Chinese) [Google Scholar]
- Xue, L.; Wang, T.; Gao, J.; Ding, A.; Zhou, X.; Blake, D.R.; Wang, X.; Saunders, S.M.; Fan, S.; Zuo, H.; et al. Ground-level ozone in four Chinese cities: Precursors, regional transport and heterogeneous processes. Atmos. Chem. Phys. 2014, 14, 13175–13188. [Google Scholar] [CrossRef] [Green Version]
- Xia, S.; Zhao, Q.; Liu, Q. Pollution characteristics of ozone and impacts of its precursors in Jiangsu Province. Environ. Sci. Technol. 2018, 41, 96–100. (In Chinese) [Google Scholar]
- Liu, Z.; Xie, X.; Xie, M.; Wang, T.; Zhu, X.; Ouyang, Y.; Feng, W.; Zhun, K.; Shu, L. Spatial-temporal distribution of ozone pollution over Yangtze River Delta region. J. Ecol. Rural Environ. 2016, 32, 445–450. (In Chinese) [Google Scholar]
- Duan, Z.; Yang, Y.; Wang, L.; Liu, C.; Fan, S.; Chen, C.; Tong, Y.; Lin, X.; Gao, Z. Temporal characteristics of carbon dioxide and ozone over a rural-cropland area in the Yangtze River Delta of eastern China. Sci. Total Environ. 2021, 757, 143750. [Google Scholar] [CrossRef] [PubMed]
- Liu, M.; Wang, C.; Hou, L.; Yu, X.; Lin, H. Spatial-temporal patterns and variation trend of ozone pollution in Shenyang. Environ. Monit. China 2017, 33, 126–131. (In Chinese) [Google Scholar]
- Chai, M.; Luo, Y.; Shang, J.; Wang, F.; Liu, M. Pollution status of ozone and its characteristics of temporal and spatial distribution in the cities of Jiangxi province. Jiangxi Sci. 2018, 36, 95–100. (In Chinese) [Google Scholar]
- Wu, K.; Kang, P.; Wang, Z.; Gu, S.; Tie, X.; Zhang, Y.; Wen, X.; Wang, S.; Chen, Y.; Wang, Y.; et al. Ozone temporal variation and its meteorological factors over Chengdu City. Acta Sci. Circumstantiae 2017, 37, 4241–4252. (In Chinese) [Google Scholar]
- Yang, X.; Wu, K.; Wang, H.; Liu, Y.; Gu, S.; Lu, Y.; Zhang, X.; Hu, Y.; Ou, Y.; Wang, S.; et al. Summertime ozone pollution in Sichuan Basin, China: Meteorological conditions, sources and process analysis. Atmos. Environ. 2020, 226, 117392. [Google Scholar] [CrossRef]
- Gong, C.; Liao, H. A typical weather pattern for ozone pollution events in North China. Atmos. Chem. Phys. 2019, 19, 13725–13740. [Google Scholar] [CrossRef] [Green Version]
- Li, K.; Jacob, D.J.; Shen, L.; Lu, X.; De Smedt, I.; Liao, H. Increases in surface ozone pollution in China from 2013 to 2019: Anthropogenic and meteorological influences. Atmos. Chem. Phys. 2020, 20, 11423–11433. [Google Scholar] [CrossRef]
- Tang, G.; Liu, Y.; Huang, X.; Wang, Y.; Hu, B.; Zhang, Y.; Song, T.; Li, X.; Wu, S.; Li, Q.; et al. Aggravated ozone pollution in the strong free convection boundary layer. Sci. Total Environ. 2021, 788, 147740. [Google Scholar] [CrossRef]
- Kaser, L.; Patton, E.G.; Pfister, G.G.; Weinheimer, A.J.; Montzka, D.D.; Flocke, F.; Thompson, A.M.; Stauffer, R.M.; Halliday, H.S. The effect of entrainment through atmospheric boundary layer growth on observed and modeled surface ozone in the Colorado Front Range. J. Geophys. Res. 2017, 122, 6075–6093. [Google Scholar] [CrossRef]
- Neu, U.; Künzle, T.; Wanner, H. On the relation between ozone storage in the residual layer and daily variation in near-surface ozone concentration—A case study. Bound. Layer Meteorol. 1994, 69, 221–247. [Google Scholar] [CrossRef]
- Zhao, W.; Tang, G.; Yu, H.; Yang, Y.; Wang, Y.; Wang, L.; An, J.; Gao, W.; Hu, B.; Cheng, M.; et al. Evolution of boundary layer ozone in Shijiazhuang, suburban site on the North China plain. J. Environ. Sci. 2019, 83, 152–160. [Google Scholar] [CrossRef]
- Shan, Y.; Li, L.; Liu, Q.; Qin, Y.; Chen, Y.; Shi, Y.; Liu, X.; Wang, H.; Ling, Y. Spatial-temporal distribution of ozone and its precursors in typical cities in the Yangtze River Delta. Desert Oasis Meteor. 2016, 10, 72–78. (In Chinese) [Google Scholar]
- Shen, J.; Huang, X.; Wang, Y.; Ye, S.; Pan, Y.; Chen, D.; Chen, H.; Ou, Y.; Lv, X.; Wang, Z. Study on ozone pollution characteristics and source apportionment in Guangdong Province. Acta Sci. Circumstantiae 2017, 37, 4449–4457. (In Chinese) [Google Scholar]
- Liu, S.; Wang, D.; Chen, Z.; Bai, L.; Zhang, J.; Huang, Y. Analysis on the characteristics and trend of ozone pollution in Circum-Bohai-Sea zone. Environ. Sci. Technol. 2018, 41, 257–262. (In Chinese) [Google Scholar]
- Ding, A.; Wang, T.; Thouret, V.; Cammas, J.-P.; Nédélec, P. Tropospheric ozone climatology over Beijing: Analysis of aircraft data from the MOZAIC program. Atmos. Chem. Phys. 2008, 8, 1–13. [Google Scholar] [CrossRef] [Green Version]
- Wang, H.; Jiang, D.; Xie, Z.; Zheng, Q.; Yang, Y. The Spatial and temporal distribution and synoptic causes of surface layer ozone in Fujian province. Mid-Low Latit. Mt. Meteorol. 2018, 142, 1–6. (In Chinese) [Google Scholar]
- He, T.; He, S.; Kuang, S.; Jia, J. Design of temporal-spatial distribution feature extraction system for ozone pollution in different seasons. Environ. Sci. Manag. 2019, 44, 110–115. (In Chinese) [Google Scholar]
- Kley, D.; Geiss, H.; Mohnen, V.A. Tropospheric ozone at elevated sites and precursor emissions in the United States and Europe. Atmos. Environ. 1994, 28, 140–158. [Google Scholar] [CrossRef]
- Kalabokas, P.D.; Viras, L.G.; Bartzis, J.G.; Repapis, C.C. Mediterranean rural ozone characteristics around the urban area of Athens. Atmos. Environ. 2000, 34, 5199–5208. [Google Scholar] [CrossRef]
- Zou, Y.; Charlesworth, E.; Yin, C.; Yan, X.; Deng, X.; Li, F. The weekday/weekend ozone differences induced by the emissions change during summer and autumn in Guangzhou, China. Atmos. Environ. 2019, 199, 114–126. [Google Scholar] [CrossRef]
- Yu, D.; Tan, Z.; Lu, K.; Ma, X.; Li, X.; Chen, S.; Zhu, B.; Lin, L.; Li, Y.; Qiu, P.; et al. An explicit study of local ozone budget and NOx-VOCs sensitivity in Shenzhen China. Atmos. Environ. 2020, 224, 117304. [Google Scholar] [CrossRef]
- Sillman, S.; Logan, J.A.; Wofsy, S.C. The sensitivity of ozone to nitrogen oxides and hydrocarbons in regional ozone episodes. J. Geophys. Res. 1990, 95, 1837–1851. [Google Scholar] [CrossRef]
- Geng, F.; Zhao, C.; Tang, X.; Lu, G.; Tie, X. Analysis of ozone and VOCs measured in Shanghai: A case study. Atmos. Environ. 2007, 41, 989–1001. [Google Scholar] [CrossRef]
- Tan, Z.; Lu, K.; Jiang, M.; Su, R.; Wang, H.; Lou, S.; Fu, Q.; Zhai, C.; Tan, Q.; Yue, D.; et al. Daytime atmospheric oxidation capacity in four Chinese megacities during the photochemically polluted season: A case study based on box model simulation. Atmos. Chem. Phys. 2019, 19, 3493–3513. [Google Scholar] [CrossRef] [Green Version]
- Yan, M.; Yin, K.; Liang, Y.; Zhuang, Y.; Liu, B.; Li, J.; Liu, Z. Ozone Pollution in Summer in Shenzhen City. Res. Environ. Sci. 2012, 25, 411–418. (In Chinese) [Google Scholar]
- Mo, Z.; Shao, M.; Wang, W.; Liu, Y.; Wang, M.; Lu, S. Evaluation of biogenic isoprene emissions and their contribution to ozone formation by ground-based measurements in Beijing, China. Sci. Total Environ. 2018, 627, 1485–1494. [Google Scholar] [CrossRef]
- Zhang, Y.; Li, C.; Yan, Q.; Han, S.; Zhao, Q.; Yang, L.; Liu, Y.; Zhang, R. Typical industrial sector-based volatile organic compounds source profiles and ozone formation potentials in Zhengzhou, China. Atmos. Pollut. Res. 2020, 11, 841–850. [Google Scholar] [CrossRef]
- Lapina, K.; Honrath, R.E.; Owen, R.C.; Martín, M.V.; Pfister, G. Evidence of significant large-scale impacts of boreal fires on ozone levels in the midlatitude Northern Hemisphere free troposphere. Geophys. Res. Lett. 2006, 33, L10815. [Google Scholar] [CrossRef]
- Walaszek, K.; Kryza, M.; Werner, M. The role of precursor emissions on ground level ozone concentration during summer season in Poland. J. Atmos. Chem. 2018, 75, 181–204. [Google Scholar] [CrossRef] [Green Version]
- Wei, W.; Li, Y.; Ren, Y.; Cheng, S.; Han, L. Sensitivity of summer ozone to precursor emission change over Beijing during 2010–2015: A WRF-Chem modeling study. Atmos. Environ. 2019, 218, 116984. [Google Scholar] [CrossRef]
- Chi, X.; Liu, C.; Xie, Z.; Fan, G.; Wang, Y.; He, P.; Fan, S.; Hong, Q.; Wang, Z.; Yu, X.; et al. Observations of ozone vertical profiles and corresponding precursors in the low troposphere in Beijing, China. Atmos. Res. 2018, 213, 224–235. [Google Scholar] [CrossRef]
- Wang, T.; Nie, W.; Gao, J.; Xue, L.; Gao, X.; Wang, X.; Qiu, J.; Poon, C.; Meinardi, S.; Blake, D.; et al. Air quality during the 2008 Beijing Olympics: Secondary pollutants and regional impact. Atmos. Chem. Phys. 2010, 10, 7603–7615. [Google Scholar] [CrossRef] [Green Version]
- Cardelino, C.A.; Chameides, W.L. An observation-based model for analyzing ozone precursor relationships in the urban atmosphere. J. Air Waste Manag. Assoc. 1995, 45, 161–180. [Google Scholar] [CrossRef]
- Tan, Z.; Lu, K.; Jiang, M.; Su, R.; Dong, H.; Zeng, L.; Xie, S.; Tan, Q.; Zhang, Y. Exploring ozone pollution in Chengdu, southwestern China: A case study from radical chemistry to O3-VOC-NOx sensitivity. Sci. Total Environ. 2018, 636, 775–786. [Google Scholar] [CrossRef]
- Lam, K.; Wang, T.; Wu, C.; Li, Y. Study on an ozone episode in hot season in Hong Kong and transboundary air pollution over Pearl River Delta region of China. Atmos. Environ. 2005, 39, 1967–1977. [Google Scholar] [CrossRef]
- Jiang, M.; Lu, K.; Su, R.; Tan, Z.; Wang, H.; Li, L.; Fu, Q.; Zhai, C.; Tan, Q.; Yue, D.; et al. Ozone formation and key VOCs in typical Chinese city clusters. Chin. Sci. Bull. 2018, 63, 1130–1141. (In Chinese) [Google Scholar] [CrossRef]
- Xiang, S.; Liu, J.; Tao, W.; Yi, K.; Xu, J.; Hu, X.; Liu, H.; Wang, Y.; Zhang, Y.; Yang, H.; et al. Control of both PM2.5 and O3 in Beijing-Tianjin-Hebei and the surrounding areas. Atmos. Environ. 2020, 224, 117259. [Google Scholar] [CrossRef]
- Hui, L.; Liu, X.; Tan, Q.; Feng, M.; An, J.; Qu, Y.; Zhang, Y.; Jiang, M. Characteristics, source apportionment and contribution of VOCs to ozone formation in Wuhan, central China. Atmos. Environ. 2018, 192, 55–71. [Google Scholar] [CrossRef]
- An, J. Ozone production efficiency in Beijing area with high NOx emissions. Acta Sci. Circumstantiae 2006, 26, 652–657. (In Chinese) [Google Scholar]
- Zhang, Y.; Xue, L.; Dong, C.; Wang, T.; Mellouki, A.; Zhang, Q.; Wang, W. Gaseous carbonyls in China’s atmosphere: Tempo-spatial distributions, sources, photochemical formation, and impact on air quality. Atmos. Environ. 2019, 214, 116863. [Google Scholar] [CrossRef]
- Liu, Y.; Li, L.; An, J.; Huang, L.; Yan, R.; Huang, C.; Wang, H.; Wang, Q.; Wang, M.; Zhang, W. Estimation of biogenic VOC emissions and its impact on ozone formation over the Yangtze River Delta region, China. Atmos. Environ. 2018, 186, 113–128. [Google Scholar] [CrossRef]
- Wu, K.; Yang, X.; Chen, D.; Gu, S.; Lu, Y.; Jiang, Q.; Wang, K.; Ou, Y.; Qian, Y.; Shao, P.; et al. Estimation of biogenic VOC emissions and their corresponding impact on ozone and secondary organic aerosol formation in China. Atmos. Res. 2020, 231, 104656. [Google Scholar] [CrossRef]
- Guo, H.; Chen, K.; Wang, P.; Hu, J.; Ying, Q.; Gao, A.; Zhang, H. Simulation of summer ozone and its sensitivity to emission changes in China. Atmos. Pollut. Res. 2019, 10, 1543–1552. [Google Scholar] [CrossRef]
- Qiao, X.; Wang, P.; Zhang, J.; Zhang, H.; Tang, Y.; Hu, J.; Ying, Q. Spatial-temporal variations and source contributions to forest ozone exposure in China. Sci. Total Environ. 2019, 674, 189–199. [Google Scholar] [CrossRef]
- Reddy, B.S.K.; Kumar, K.R.; Balakrishnaiah, G.; Gopal, K.R.; Reddy, R.R.; Sivakumar, V.; Lingaswamy, A.P.; Arafath, S.M.; Umadevi, K.; Kumari, S.P.; et al. Analysis of diurnal and seasonal behavior of surface ozone and its precursor (NOx) at a semi-arid rural site in Southern India. Aerosol Air Qual. Res. 2012, 12, 1081–1094. [Google Scholar] [CrossRef] [Green Version]
- Nishanth, T.; Prassed, K.M.; Satheesh, K.M.K.; Valsaraj, K.T. Influence of ozone precursors and PM10 on the variation of surface O3 over Kannur, India. Atmos. Res. 2014, 138, 112–124. [Google Scholar] [CrossRef]
- Yang, J.; Liu, J.; Han, S.; Yao, Q.; Cai, Z. Study of the meteorological influence on ozone in urban areas and their use in assessing ozone trends in all seasons from 2009 to 2015 in Tianjin, China. Meteorol. Atmos. Phys. 2019, 131, 1661–1675. [Google Scholar] [CrossRef]
- Pu, X.; Wang, T.; Huang, X.; Melas, D.; Zanis, P.; Papanastasiou, D.K.; Poupkou, A. Enhanced surface ozone during the heat wave of 2013 in Yangtze River Delta region, China. Sci. Total Environ. 2017, 603–604, 807–816. [Google Scholar] [CrossRef]
- Wang, Y.; Du, H.; Xu, Y.; Lu, D.; Wang, X.; Guo, Z. Temporal and spatial variation relationship and influence factors on surface urban heat island and ozone pollution in the Yangtze River Delta, China. Sci. Total Environ. 2018, 631–632, 921–933. [Google Scholar] [CrossRef] [PubMed]
- Tang, G.; Li, X.; Wang, X.; Xin, J.; Hu, B.; Wang, L.; Ren, Y.; Wang, Y. Effect of synoptic type on surface ozone pollution in Beijing. Environ. Sci. 2010, 31, 73–578. (In Chinese) [Google Scholar]
- Kalabokas, P.D.; Cammas, J.-P.; Thouret, V.; Volz-Thomas, A.; Boulanger, D.; Repapis, C.C. Examination of the atmospheric conditions associated with high and low summer ozone levels in the lower troposphere over the Eastern Mediterranean. Atmos. Chem. Phys. 2013, 13, 10339–10352. [Google Scholar] [CrossRef] [Green Version]
- Doche, C.; Dufour, G.; Foret, G.; Eremenko, M.; Cuesta, J.; Beekmann, M.; Kalabokas, P. Summertime tropospheric-ozone variability over the Mediterranean basin observed with IASI. Atmos. Chem. Phys. 2014, 14, 10589–10600. [Google Scholar] [CrossRef] [Green Version]
- Ou-Yang, C.; Hsieh, H.; Wang, S.; Lin, N.; Lee, C.; Sheu, G.; Wang, J. Influence of Asian continental outflow on the regional background ozone level in northern South China Sea. Atmos. Environ. 2013, 78, 144–153. [Google Scholar] [CrossRef]
- Li, Y.; Xue, Y.; Guang, J.; Leeuw, G.; Self, R.; She, L.; Fan, C.; Xie, Y.; Chen, G. Spatial and temporal distribution characteristics of haze days and associated factors in China from 1973 to 2017. Atmos. Environ. 2019, 214, 116862. [Google Scholar] [CrossRef]
- Zhang, M.; Wang, Y.; Ma, Y.; Wang, L.; Gong, W.; Liu, B. Spatial distribution and temporal variation of aerosol optical depth and radiative effect in South China and its adjacent area. Atmos. Environ. 2018, 188, 120–128. [Google Scholar] [CrossRef]
- Yu, H.; Yang, W.; Wang, X.; Yin, B.; Zhang, X.; Wang, J.; Gu, C.; Ming, J.; Geng, C.; Bai, Z. A seriously sand storm mixed air-polluted area in the margin of Tarim Basin: Temporal-spatial distribution and potential sources. Sci. Total Environ. 2019, 676, 436–446. [Google Scholar] [CrossRef] [PubMed]
- Qu, Y.; Wang, T.; Wu, H.; Shu, L.; Li, M.; Chen, P.; Zhao, M.; Li, S.; Xie, M.; Zhang, B.; et al. Vertical structure and interaction of ozone and fine particulate matter in spring at Nanjing, China: The role of aerosol’s radiation feedback. Atmos. Environ. 2020, 222, 117162. [Google Scholar] [CrossRef]
- Wang, Z.; Lv, J.; Tan, Y.; Guo, M.; Gu, Y.; Xu, S.; Zhou, Y. Temporospatial variations and Spearman correlation analysis of ozone concentrations to nitrogen dioxide, sulfur dioxide, particulate matters and carbon monoxide in ambient air, China. Atmos. Pollut. Res. 2019, 10, 1203–1210. [Google Scholar] [CrossRef]
- Fang, X.; Fan, Q.; Liao, Z.; Xie, J.; Xu, X.; Fan, S. Spatial-temporal characteristics of the air quality in the Guangdong-Hong Kong-Macau Greater Bay Area of China during 2015–2017. Atmos. Environ. 2019, 210, 14–34. [Google Scholar] [CrossRef]
- Qiu, Y.; Wang, J.; Hu, S. Spatial and temporal distribution of PM2.5 and PM10-2.5 in Anhui province, 2015–2016. J. Hefei Univ. Technol. Nat. Sci. 2020, 43, 113–118. (In Chinese) [Google Scholar]
- Jia, M.; Zhao, T.; Cheng, X.; Gong, S.; Zhang, X.; Tang, L.; Liu, D.; Wu, X.; Wang, L.; Chen, Y. Inverse relations of PM2.5 and O3 in air compound pollution between cold and hot seasons over an urban area of East China. Atmosphere 2017, 8, 59. [Google Scholar] [CrossRef] [Green Version]
- Li, K.; Jacob, D.J.; Liao, H.; Shen, L.; Zhang, Q.; Bates, K.H. Anthropogenic drivers of 2013–2017 trends in summer surface ozone in China. Proc. Natl. Acad. Sci. USA 2019, 116, 422–427. [Google Scholar] [CrossRef] [Green Version]
- Dickerson, R.R.; Kondragunta, S.; Stenchikov, G.; Civerolo, K.L.; Doddridge, B.G.; Holben, B.N. The impact of aerosols on solar ultraviolet radiation and photochemical smog. Science 1997, 278, 827–830. [Google Scholar] [CrossRef] [Green Version]
- Andrew, J.A.; Farmer, D.K. Summer ozone in the northern Front Range metropolitan area: Weekend–weekday effects, temperature dependences, and the impact of drought. Atmos. Chem. Phys. 2017, 17, 6517–6529. [Google Scholar] [CrossRef] [Green Version]
- Koo, B.; Jung, J.; Pollack, A.K.; Lindhjem, C.; Jimenez, M.; Yarwood, G. Impact of meteorology and anthropogenic emissions on the local and regional ozone weekend effect in Midwestern US. Atmos. Environ. 2012, 57, 13–21. [Google Scholar] [CrossRef]
- Zhao, X.; Zhou, W.; Han, L. Human activities and urban air pollution in Chinese mega city: An insight of ozone weekend effect in Beijing. Phys. Chem. Earth 2019, 110, 109–116. [Google Scholar] [CrossRef]
- Kannari, A.; Ohara, T. Theoretical implication of reversals of the ozone weekend effect systematically observed in Japan. Atmos. Chem. Phys. 2010, 10, 6765–6776. [Google Scholar] [CrossRef] [Green Version]
- Fadnavis, S.; Chakraborrty, T.; Beig, G. Seasonal stratospheric intrusion of ozone in the upper troposphere over India. Ann. Geophys. 2010, 28, 2149–2159. [Google Scholar] [CrossRef] [Green Version]
- Ding, Y.; Cai, C.; Hu, B.; Xu, Y.; Zheng, X.; Chen, Y.; Wu, W. Characterization and control of odorous gases at a landfill site: A case study in Hangzhou, China. Waste Manag. 2012, 32, 317–326. [Google Scholar] [CrossRef]
- Taha, H.; Wilkinson, J.; Bornstein, R.; Xiao, Q.; McPherson, G.; Simpson, J.; Anderson, C.; Lau, S.; Lam, J.; Blain, C. An urban-forest control measure for ozone in the Sacramento, CA Federal Non-Attainment Area (SFNA). Sustain. Cities Soc. 2016, 21, 51–65. [Google Scholar] [CrossRef]
- Dai, H.; Zhu, J.; Liao, H.; Li, J.; Liang, M.; Yang, Y.; Yue, X. Co-occurrence of ozone and PM2.5 pollution in the Yangtze River Delta over 2013–2019: Spatiotemporal distribution and meteorological conditions. Atmos. Res. 2021, 249, 105363. [Google Scholar] [CrossRef]
- Li, H.; Peng, L.; Bi, F.; Li, L.; Bao, J.; Li, J.; Zhang, H.; Chai, F. Strategy of coordinated control of PM2.5 and ozone in China. Res. Environ. Sci. 2019, 32, 1763–1778. (In Chinese) [Google Scholar]
Reaction | Reaction Number |
---|---|
(R1) | |
(R2) | |
(R3) | |
(R4) | |
(R5) | |
(R6) | |
(R7) | |
(R8) | |
(R9) | |
(R10) | |
(R11) | |
(R12) | |
(R13) | |
(R14) | |
(R15) |
Region | Period | Maximum Value or Range (ppbv) | Precursors | Reference |
---|---|---|---|---|
Jing-Jin-Ji Urban Agglomeration | 2013–2015 | (O3-8 h) 77.5–81 * | [23] | |
Jing-Jin-Ji region | January–December 2017 | (O3-1 h) 139.5 | [22] | |
21 June–31 July 2005 | (O3-1 h) 286 | VOCs (Alkenes, aromatics) | [25] | |
Beijing | 2014–2017 | (O3-8 h) 98–103 * | [24] | |
Nantong, Jiangsu | 2013–2015 | (O3-8 h) 83.5 * | CO, VOCs (propene, ethane, xylene, acetylene) | [26] |
4 May–1 June 2005 | (O3-1 h) 127 | VOCs (Alkenes, aromatics) | [25] | |
Shanghai | 2014–2017 | (O3-8 h) 76–94 * | [24] | |
Jiaxing, Zhejiang | 27 June–31 August 2013 | (O3-1 h) 84 * | CO, NO2 | [27] |
Shouxian, Anhui | January 2015–December 2018 | (Monthly mean) 51.3 | [28] | |
Wan Qing | 20 April–26 May 2004 | (O3-1 h) 178 | VOCs (aromatics) | [25] |
Guangzhou | 2014–2017 | (O3-8 h) 76–85 * | [24] | |
19 June–16 July 2006 | (O3-1 h) 143 | VOCs (alkenes) | [25] | |
2013–2015 | (O3-8 h) 77 * | NO2, CO | [29] | |
Jiangxi | January 2015–August 2017 | (O3-1 h) 40.5–70 * | [30] | |
Chengdu, Sichuan | January 2014–December 2016 | (O3-8 h) 2.5–146.5 * | [31] | |
Chengdu | 2014–2017 | (O3-8 h) 68–94 * | [24] | |
Sichuan | July 2017 | (O3-8 h) 141.3 * | VOCs | [32] |
NCP | June 2017 | (O3-1 h) 91 * | [33] |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Yu, R.; Lin, Y.; Zou, J.; Dan, Y.; Cheng, C. Review on Atmospheric Ozone Pollution in China: Formation, Spatiotemporal Distribution, Precursors and Affecting Factors. Atmosphere 2021, 12, 1675. https://doi.org/10.3390/atmos12121675
Yu R, Lin Y, Zou J, Dan Y, Cheng C. Review on Atmospheric Ozone Pollution in China: Formation, Spatiotemporal Distribution, Precursors and Affecting Factors. Atmosphere. 2021; 12(12):1675. https://doi.org/10.3390/atmos12121675
Chicago/Turabian StyleYu, Ruilian, Yiling Lin, Jiahui Zou, Yangbin Dan, and Chen Cheng. 2021. "Review on Atmospheric Ozone Pollution in China: Formation, Spatiotemporal Distribution, Precursors and Affecting Factors" Atmosphere 12, no. 12: 1675. https://doi.org/10.3390/atmos12121675