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Review

Review on Atmospheric Ozone Pollution in China: Formation, Spatiotemporal Distribution, Precursors and Affecting Factors

College of Chemical Engineering, Huaqiao University, Xiamen 361021, China
*
Author to whom correspondence should be addressed.
Atmosphere 2021, 12(12), 1675; https://doi.org/10.3390/atmos12121675
Submission received: 31 October 2021 / Revised: 6 December 2021 / Accepted: 7 December 2021 / Published: 13 December 2021
(This article belongs to the Special Issue Air Pollution in China)

Abstract

:
In recent years, atmospheric ozone pollution has become more and more serious in many areas of China due to the rapid development of industrialization and urbanization. The increase in atmospheric ozone concentration will not only cause harm to the human respiratory tract, nervous system and immune system, but also cause obvious harm to crops, which will lead to reductions in crop production. Therefore, the study of atmospheric ozone pollution should not be ignored in research on the atmospheric environment. In this paper, we summarized the formation mechanisms of atmospheric ozone, the spatiotemporal distribution characteristics of atmospheric ozone in some areas of China, the relationship between atmospheric ozone and its precursors, and the main factors affecting the concentration of atmospheric ozone. Then, the control countermeasures against atmospheric ozone pollution were put forward in combination with the actual situation in China.

1. Introduction

Ozone (O3) is one of the gas components in the atmosphere. More than 90% of all O3 is concentrated in the stratosphere, and less than 10% is distributed in the troposphere [1]. As is known, the ozone layer in the stratosphere can protect life on Earth by absorbing most of ultraviolet radiation from the sun. However, O3 in the troposphere is a secondary pollutant, which is the main driving force of atmospheric photochemical reactions and is one of the key factors in controlling atmospheric pollution [2]. As a characteristic product of photochemical smog, O3 is a strong oxidant that can threaten human health and vegetation. Excessive inhalation of O3 may cause respiratory infections, neurotoxic reactions or directly damage the human immune system [3]. High concentrations of O3 can inhibit the growth of plants, resulting in a reduction in crop yields [4]. Furthermore, tropospheric O3 is one of the most important greenhouse gases, and it may contribute to climate change. Therefore, tropospheric ozone pollution has attracted more and more attention, especially in recent years.
There are two main sources of tropospheric O3. One is from stratosphere through the stratospheric–tropospheric exchange. In the stratosphere, oxygen molecules may absorb ultraviolet radiation with a wavelength of less than 240 nm and decompose into oxygen atoms, which can combine with oxygen molecules to form O3, and this O3 may be transmitted down to the troposphere and become the source of tropospheric O3 [5]. The prospective O3 transmission from stratosphere to troposphere was studied using the most advanced chemical–climate model, and the results showed that the global average annual mass fluxes of stratospheric O3 into the troposphere were expected to increase by 53% from 2000 to 2100 [6]. It was reported that O3 in the mid-latitude stratosphere would intrude into the lower troposphere due to the convective activities over the tropical Pacific [7]. Similar stratosphere–troposphere interactions have been observed over the eastern Mediterranean [8,9]. Recent model studies and some studies based on observational constraints indicate that more than 10% of the ozone in the troposphere is transmitted from the stratosphere, while the rest is photochemically formed in the troposphere [10]. Previous observations indicate that the spring maximum in the lower troposphere over East Asia is contributed by stratospheric-to-tropospheric transport and regional photochemical O3 production [11]. That is, the tropospheric O3 can be generated by the photochemical reactions of primary pollutants such as volatile organic compounds (VOCs) and nitrogen oxides (NOx, mainly including NO and NO2). The main sources of NOx in the troposphere are the combustion of coal, vehicle exhausts and the burning of other fossil fuels. VOCs come from a wide range of sources, including natural sources such as plant emissions, and anthropogenic sources such as biomass combustion, coal combustion, solvent usage, and the chemical industry [12]. Under strong sunlight, NO2 may photolyze to generate atomic oxygen, which can react with oxygen molecules to generate ozone. The existence of massive VOCs in the air will hinder the decomposition of O3, resulting in tropospheric O3 accumulation [13]. Primary pollutants such as NOx and VOCs, as the precursors of O3, are closely related to the generation and change of tropospheric O3. Therefore, studying the correlation between O3 and its precursors is helpful to understand the changing pattern of tropospheric O3 pollution and to provide a scientific basis for creating effective measures to control the composite atmospheric pollution.
With the development of urbanization, industrialization, and traffic, tropospheric O3 pollution has become increasingly serious in many areas of China. According to ozone observation data from 74 Chinese cities, the mean daily maximum 8 h average mass concentration of O3 (O3-max-8 h) increased from 149 μg·m−3 in 2013 to 161 μg·m−3 in 2015 [14]. The atmospheric O3 concentration has the characteristics of spatiotemporal distribution, and can be affected by factors such as the precursors and meteorological factors. In recent years, the frequency of photochemical smog and the concentration of atmospheric O3 have been increasing year by year, which has increased the complexity of air pollution and the urgency of improving air quality. As a result, much attention has been paid to the formation mechanism of atmospheric O3, the pollution status and the influencing factors of tropospheric O3, and the sensitivity relationship between O3 and its precursors, which has become one of the research topics of current atmospheric environmental science [15]. Therefore, the formation mechanism of tropospheric O3, the spatiotemporal distribution characteristics of tropospheric O3 in some regions of China, the relationship between O3 and its precursors, and the factors affecting tropospheric O3 levels, were reviewed in this paper. Furthermore, some countermeasures for controlling tropospheric O3 pollution were put forward based on the actual situation in China.

2. Photochemical Formation Mechanism of Tropospheric O3

Most of the tropospheric O3 is generated due to the photochemical reactions of some primary pollutants, such as NOx and VOCs, under the strong sunlight in the troposphere. Some main reactions of the formation and loss mechanisms of tropospheric ozone are summarized in Table 1.
In the reactions in Table 1, R and M stand for organic group and other matters in the atmosphere, respectively. Tropospheric O3 is formed by the photolysis of NO2, with the reactions R1 and R2 [16]. The three reactions from R1 to R3 constitute a rapid cyclic process, which can reach a dynamic equilibrium under certain conditions without causing an increase in the total amount of O3 when no other chemical species are involved. However, in the atmosphere polluted by organic matter, peroxy radicals (such as RO2· and HO2·) can replace the O3 in reaction R3, so the conversion of NO to NO2 does not need to consume O3, but the continuous reactions of R1 and R2 occur subsequently, thereby destroying the photochemical reaction cycle of NO2-NO-O3, resulting in the accumulation of O3. The rate of photochemical O3 production is primarily determined by the reaction of NO with peroxy radicals such as RO2· and HO2·, with the reactions of R4 and R5. Peroxy radicals RO2 and HO2· can be produced by the reactions of ·OH with hydrocarbon (abbreviated as RH) and CO, with the reactions from R6 to R9.
There is a series of chain reactions centered on various free radicals, resulting in the accumulation of O3 [17]. In the clean troposphere, the ·OH radicals are mainly derived from the reaction of water vapor with O (1D) atoms, which are usually produced by the photolysis of O3, with the reactions R10–R11. In the polluted troposphere, the OH radicals are mainly formed from the photolysis of HONO, with reaction R12. At the same time, O3 can be removed from the atmosphere by some reactions such as R3, R10 and R13–R15. Hence, the net generation rate of O3 is equal to the total generation rate minus the removal rate. It was reported that the destruction of O3 could occur in many ways, and the most important pathway is the surface deposition [18]. For example, O3 consumption pathways can be achieved by oxidation of SO2 in the liquid phase reaction. The rates of these reactions vary greatly depending on the meteorological and photolysis conditions, in addition to the rate of competitive transport and removal processes.

3. Spatiotemporal Distribution of Tropospheric Ozone in China

Tropospheric O3 exhibits different characteristics in different regions. Understanding the spatiotemporal characteristics of O3 concentration is essential for controlling atmospheric O3 pollution. Since 2012, the Chinese government has included atmospheric O3 as a regular pollutant monitoring indicator, and the national monitoring network has brought convenience to the study of the spatial and temporal characteristics of atmospheric O3.
Most of Chinese population lives in the east of China, especially in the three most developed regions of Jing-Jin-Ji (JJJ, including Beijing, Tianjin, and Hebei province), Yangtze River Delta (YRD, including Shanghai, Zhejiang, Jiangsu, and Anhui provinces), and Pearl River Delta (PRD, including nine cities in south-central of Guangdong province). These regions are also the areas with the highest emissions of anthropogenic NOx and VOCs, thus leading to serious regional atmospheric ozone pollution. Therefore, these regions are the key areas for preventing and controlling air pollution. Figure 1 shows the spatial distribution of annual average O3-max-8 h in China from 2013 to 2018 [19]. The overall O3 concentration presented a spatial distribution pattern of higher in the east and lower in the west. The high-value areas of O3-max-8 h were mainly concentrated in the North China Plain in the east, such as Hebei province and Shandong province, where O3-max-8 h was higher than 180 μg·m−3; followed by the Yangtze River Delta and its nearby areas with an O3-max-8 h ranging from 120 to 160 μg·m−3. The O3-max-8 h in the southern Pearl River Delta region was also in the range of 120 to 160 μg·m−3, but the high-value area was smaller than the Yangtze River Delta area. The O3-max-8 h was lower in the western region, ranging from 70 to 100 μg·m−3, and reaching as low as 62 μg·m−3 in the Hami area. The spatial distribution of O3-max-8 h was consistent with the distribution pattern of its precursor emissions. The NOx emission intensity was higher in the east than that in the west, with the highest values distributing in the Beijing–Tianjin–Hebei region, Yangtze River Delta and Pearl River Delta. From 2013 to 2018, the 90th percentile of O3-max-8 h concentration in China gradually increased with an annual growth rate of 2.6 μg·m−3 per year. The highest O3-max-8 h (≥180 μg·m−3) zone mainly occurred in the North China and Yangtze River Plains, which gradually expanded in the North China Plain (NCP) while shrinking in the YRD and PRD.
Based on the data of ozone monitoring instruments (OMI) from 2005 to 2014, the tropospheric ozone trend in mid-eastern China (including 10 major cities) was studied [20]. The results showed that the mixing ratios of tropospheric ozone column were fairly stable, but those of ground-level clearly increased, by 12.38%. The concentration of ground-level ozone reached the maximum value from May to June, while the minimum value was from November to December. The concentrations of ground-level ozone increased with the cumulative increments of 6.3, 6.6, and 10.2 ppbv (parts per billion by volume) in Beijing, Shijiazhuang and Tianjin, respectively, from 2005 to 2014. Additionally, the concentration of ground-level ozone increased rapidly in Tianjin during 2012-2014, showing an increase of 13.25% compared with 2010–2011, which might be due to the more rubber and chemical companies around Tianjin. In contrast, the concentration of ground-surface O3 in the Beijing area showed a slower rising trend from 2005 to 2014. According to previous studies, atmospheric O3 pollution often appeared in the region of Beijing–Tianjin–Hebei, among which Beijing and Baoding were more polluted [21,22].
The temporal and spatial distribution characteristics of atmospheric O3 in the Beijing–Tianjin–Hebei region during 2013–2015 indicated that O3 concentration presented obvious seasonal variation, with the highest concentration in late spring and summer, and showed a single peak distribution during daytime, with the maximum value appearing around 15:00. In contrast, the concentration was lower and had little fluctuation throughout the day in autumn and winter. The higher values of O3-max-8 h were mainly distributed in north-central Beijing, Chengde and Hengshui [23]. The seasonal variations of tropospheric O3 concentration distribution in Beijing, Shanghai, Guangzhou and Chengdu were similar, with the highest value generally occurring in summer and the lowest value generally appearing in winter [24]. Table 2 summarizes the tropospheric ozone concentrations in some regions of China.
The summer–winter differences are due to the general meteorological conditions including the variability of irradiation levels affecting free-tropospheric and boundary-layer photochemistry, which is also one of the main sources of the high background O3 on the surface [9]. From 2013 to 2019, the weather in the North China Plain (NCP) drove an increase in surface O3 [34]. The hot weather in the NCP in summer is usually driven by a wide range of anticyclone conditions, which is regarded as a typical climate pattern for the number of days of O3 pollution [33]. The influence of the boundary layer on ozone in the summer afternoon cannot be ignored. Under the conditions of free convection, the stronger the ultraviolet radiation (UV), the higher the temperature, the lower the relative humidity (RH) and the higher the boundary-layer height (BLH), the more serious the ozone pollution was in Shijiazhuang in summer of 2018–2019 [35]. The increase in radiation during the day may cause the boundary layer to rise, and the accumulated O3 may mix down to the boundary layer, affecting the near-surface ozone concentration. The history of the air mass is an important factor in determining the magnitude and potential signs of the impact of entrainment on surface O3 through atmospheric boundary-layer growth [36]. As the height of the boundary layer increases, the O3 in the residual layer (RL) is transported to the boundary layer. Some studies have found that the mixed ozone from the RL contributes 50–70% of the maximum concentration near the surface for the next day, and the rest comes from chemical production and possible advection [37,38].
Based on the tropospheric O3 concentration data of 16 urban monitoring stations from June 2013 to May 2014, the spatiotemporal distribution characteristics of atmospheric O3 in the Yangtze River Delta region were studied [27]. The results showed that the annual average O3 concentration was higher in the cities near the sea and lower in the cities that are inland. The concentration of atmospheric O3 showed a seasonal variation, with higher concentration in summer and lower concentration in winter. The higher O3 pollution area was located in the north of Hangzhou Bay in summer, while the higher O3 pollution area was located in the eastern coastal zone in winter. The diurnal variation of O3 concentration in the Yangtze River Delta was unimodal throughout the four seasons. The daily minimum O3 concentration appeared around 06:00 in summer, and was delayed by about one hour in the other seasons, and the daily maximum O3 concentration appeared around 15:00 in all seasons. Based on the OMI data, the spatiotemporal distribution of the tropospheric O3 in the Yangtze River Delta region showed a significant zonal difference, increasing with latitude [39]. According to the monitoring data of 72 state-controlled stations in Jiangsu province from 2013 to 2015, the spatiotemporal distribution characteristics of tropospheric O3 were studied [26]. The results indicated that the annual mean value of atmospheric O3 in Jiangsu province showed a significant spatial difference, with the concentration gradually decreasing from coast to inland. Tropospheric O3 showed the highest concentration in Yancheng city, while it was lower in Changzhou, eastern Wuxi and Xuzhou cities. The 90th percentile concentrations of O3-8 h were significantly different from north to south. The atmospheric O3 concentration was relatively higher in the cities of Nanjing, Yangzhou and Zhenjiang, while the lower concentrations were found in the cities of Xuzhou and Suqian. It was reported that the atmospheric O3 peak occurred in the afternoon in Shanghai from 2006 to 2016 [2]. The areas with O3 concentration exceeding the limit of Chinese national ambient air quality standards were mainly in the southwest suburbs of Shanghai, and the atmospheric O3 concentration decreased from the southwest suburb to the northeast urban areas. It was reported that the tropospheric O3 pollution in the Yangtze River Delta region was more serious in Shanghai, Ningbo and other cities [28]. It should be noted that the concentrations of near-ground-surface O3 in Shanghai, Hangzhou, Hefei and Nanjing in the Yangtze River Delta region have increased slightly during the past 10 years (from 2005 to 2014), but the increase degree was smaller than that in the Beijing–Tianjin–Hebei region. The distribution of atmospheric O3 pollution in the Yangtze River Delta showed relatively obvious flaky distribution characteristics, and the higher emissions from motor vehicles in the Yangtze River Delta urban cities were the main sources of atmospheric O3 in this region [20].
The average near-ground-surface O3 concentration in the Pearl River Delta region was slightly lower than those in the Beijing–Tianjin–Hebei region and the Yangtze River Delta region during 2013–2018 [19]. The characteristics of atmospheric O3 pollution in the Pearl River Delta region and Guangdong province were reported based on the large-scale and long-term continuous O3 monitoring data of recent years [40]. The results showed that the atmospheric O3 concentration in the Pearl River Delta region was higher than that in the northwest of Guangdong province. Outside of the Pearl River Delta region, the eastern area of Guangdong province has the highest atmospheric O3 level. The O3 concentration was higher in the central southern part of the Pearl River Delta and the eastern part of Guangdong, while it was lower in the west. The concentration of atmospheric O3 was higher in summer and autumn, and lower in winter and spring. Due to the large differences of the climate between the Pearl River Delta region and the Beijing–Tianjin–Hebei region and the Yangtze River Delta region, the better atmospheric diffusion conditions made it difficult for atmospheric O3 to accumulate in the Pearl River Delta region.
In addition to the regions of Beijing–Tianjin–Hebei, the Yangtze River Delta and the Pearl River Delta, other regions in China have also been conducted research on local atmospheric O3 pollution. The spatial and temporal distribution of atmospheric O3 pollution in the Bohai Rim region of Liaoning province was reported [41]. The results showed that the atmospheric O3 pollution presented obvious seasonal variation characteristics, and the main months in which the O3 concentration exceeded the limit of Chinese national ambient air quality standards were from May to August. The diurnal variation of atmospheric O3 was unimodal, and the peak concentration appeared in the afternoon. The higher O3 concentration areas were mainly located in Yingkou in the central Bohai Sea Economic Rim of Liaoning, while the O3 level was relatively lower in Dalian and Huludao. The investigation of atmospheric O3 pollution in Shenyang area from 2013 to 2015 showed that the concentration of O3 in the periphery of the city was higher than that in the center of the city [29]. Compared with the periphery of the city, the concentration of NO emissions is higher in urban centers. The increase in NO emissions leads to an increase in the titration of O3, which inhibits the accumulation of O3. The variation of O3 concentration showed obvious seasonal characteristics, with the highest being in summer and the lowest in winter. The diurnal variation showed a unimodal distribution, with the trough value at 06:00 and the peak value at 14:00. Over continental sites, important nocturnal ozone destruction is observed due to dry deposition and NO titration [42]. The tropospheric O3 concentrations showed significant “weekend effects”, with higher O3 concentrations in weekends than in weekdays during the daytime while little difference at night. The spatiotemporal distribution characteristics of surface O3 concentrations in Fujian province in 2016 was studied [43]. The results showed that the O3 concentration was higher in spring and autumn, whereas it was lower in winter. The O3 concentrations in the coastal cities were higher than those in the inland cities. The monthly changes in O3 concentration presented a bimodal pattern, with peaks generally appearing in May and September. The diurnal variation curve of O3 concentration was a single peak, which usually appeared at about 14:00. The spatiotemporal distribution characteristics of the atmospheric O3 concentrations in Jiangxi province during 2015–2017 showed that the higher values of atmospheric O3 were mainly distributed in the northeast areas such as Nanchang city and Jiujiang city, while the lower values were mainly distributed in the western areas such as Xinyu city and Yichun city [30]. The monthly variation of atmospheric O3 concentration showed a double-peak pattern with higher values in May and September, while the daily variation showed a single-peak pattern with higher values at 14:00–16:00. The temporal characteristics of atmospheric O3 pollution and the meteorological factors in Chengdu during 2014–2016 were reported, and the results showed that the situation of atmospheric O3 pollution in Chengdu became worse in recent years [31]. The concentrations of atmospheric O3 showed obvious seasonal variation characteristics—higher in summer and spring, while lower in winter and autumn. The diurnal variation of O3 concentration showed a unimodal distribution, with the peak appearing at around 15:00, which was consistent with the diurnal variation of air temperature and solar irradiance. The distribution of surface O3 in Chongqing city in 2018 showed that the O3 concentration in spring to autumn exceeded the limit of Chinese national ambient air quality standards [44]. It was pointed out that the concentration of atmospheric O3 was the highest and the pollution lasted for a long time in summer. Severe O3 pollution in the Sichuan basin in summer was also reported [32].
For most urban stations, the potential ozone (Ox = O3 + NO2) is a conservative amount over a short time scale. When the freshly emitted NO reacts with O3, NO2 is formed in a few minutes, so some local NO2 in the troposphere is produced at the expense of O3 [45,46]. Generally, the surface ozone production is controlled by NOx. The diurnal patterns of O3 and nitrogen dioxide were opposite in Chengdu, indicating that the O3 sensitivity was VOC-limited [32]. The relationship between atmospheric O3 with non-methane hydrocarbons (NMHCs) and NOx in Guangzhou in 2011 was discussed, and the results showed that controlling highly reactive NMHCs and NOx could effectively reduce O3 concentration [47]. It should be noted that the reduction in NOx may have positive or negative impact on local ozone production. Ozone sensitivity was different at different stages, and reducing NOx emissions had a negative impact on Shenzhen’s ozone pollution control from 2015 to 2018 [48].

4. Relationship between Tropospheric Ozone and Its Precursors

As mentioned before, tropospheric O3 can be produced by photochemical reactions of VOCs, NOx and other primary pollutants under solar radiation. Theoretically, the content of O3 in the troposphere can be controlled by controlling the emission of VOCs and NOx. However, the execution difficulty is that the relationship between the generation of O3 with VOCs and NOx is nonlinear. An investigation into the relationship between the atmospheric O3 with NOx and VOCs showed that the formation of O3 depended on NOx in rural areas, while it depended on both NOx and VOCs in urban areas [49]. A study on the formation of tropospheric O3 and the effect of VOCs in Shanghai found that alkanes and aromatic hydrocarbons were the dominant VOCs, and aromatic hydrocarbons contributed most to the chemical production of atmospheric O3 [50]. Similar results were found in Guangzhou, where aromatics accounted for 70% of the atmospheric O3 formation potential (OFP) [51].
A numerical simulation control of atmospheric O3 pollution was carried out in Shenzhen city based on the two-dimensional air-quality model [52]. The results showed that the generation of atmospheric O3 was the product of the interaction between NOx and VOCs, and the emission of VOCs was more important. The co-emission reduction in the precursors might effectively reduce the atmospheric O3 pollution. As one of the major species of VOCs emitted from biogenic sources, isoprene is highly reactive and plays an important role in the generation of oxidants for a range of photochemical reactions. A study on the contribution of isoprene emissions to the ground-level O3 formation in Beijing showed that isoprene emissions accounted for almost half (49.5%) of OFP at 13:00 in August of 2010, suggesting that isoprene played an important role in the ozone formation [53]. According to the results of field sampling, the most influential substances related to OFP in Zhengzhou urban area were ethanol, 2-hexanone, o-trimethylbenzene, and the industrial VOCs were a source of O3 pollution in Zhengzhou [54]. It is reported that fire can affect NOx, CO and VOCs, which will significantly affect the background value of O3 [55].
Therefore, the prevention and control of atmospheric O3 pollution cannot be simply through a programmed control of primary pollutants. The influence of VOCs and NOx on atmospheric O3 production can be characterized by a VOCs-sensitive zone and NOx-sensitive zone [56]. In general, the oxidation of VOCs with high concentrations of VOCs can produce higher concentrations of RO2·, and the emission of NO can lead to reaction R4 enhancement. Therefore, the amount of O3 production increases with the increase in NOx, and this type of O3 generation mechanism is described as the NOx-sensitive (limiting) type. When the concentration of NOx is high and the concentration of VOCs is low, the reaction rate of NO + O3 is faster than that of NO + RO2·. In this case, the cumulative amount of O3 may decrease with the increase in NOx, and may increase with the increase in VOCs, hence this mechanism is described as VOC-sensitive (limiting) or NOx saturation. When the generation of O3 is restricted by VOCs, the O3 generation can be controlled by reducing the emission of VOCs. Similarly, when the formation mechanism of O3 is NOx-limiting type, the O3 content can be controlled by reducing the emission of NOx. The sensitivity of summer O3 in Beijing during 2010–2015 was studied [57]. The results showed that when VOCs/NOx was 2.0, the urban areas were more sensitive to VOCs and high concentrations of VOCs persisted in western and northern rural areas. When VOCs/NOx was 3.0~5.0, O3 precursors aged, and lower VOCs concentrations appeared in the northern and southern suburbs. A comprehensive investigation into O3 and its precursors and low tropospheric aerosols over a survey site located at the University of Chinese Academy of Sciences in Beijing showed that the photochemical generation of O3 in the boundary layer was restricted by VOCs in hazy weather, while the photochemical reaction of O3 became VOCs–NOx-limiting in the clean weather [58]. According to the sensitivity analysis, the atmospheric O3 generation was largely determined by VOCs when air masses came from the polluted areas in the south. Therefore, reducing VOCs emissions from the industrial areas and urbanized areas could help to reduce the ozone pollution at this site.
Currently, there are a variety of methods that can be used to study the sensitivity of atmospheric ozone generation. Some commonly used methods are as follows.
(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.
RIR ( X ) = Δ O 3 ( X ) / O 3 Δ C ( X ) / C ( X )
where X represents a group of major pollutants, and O3 represents the modelled O3 concentration. ΔC(X)/C(X) gives the relative change in the primary pollutants in one of the sensitivity tests, and the relative change in modelled ozone concentration is given by ΔO3(X)/O 3. In the study on atmospheric ozone pollution conducted in Chengdu in September 2016, the anthropogenic variation of the main pollutant in the sensitivity test was chosen as 20% in the RIR analysis, because when the variation value was greater than 20%, the RIR value deviated due to the significant change in the simulated free radical concentration [61]. The RIR results demonstrated that anthropogenic VOCs reduction is the most efficient way to mitigate ozone pollution, of which alkenes dominated more than 50% of the ozone production [61].
(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].
According to current research on atmospheric ozone formation regimes, most of the urban areas in China are in VOCs-limited zones, with anthropogenic VOCs (especially reactive aromatics and alkenes) playing a dominant role. However, some variations were found in the chemistry regime of atmospheric ozone formation in different regions.

5. Factors Affecting Atmospheric Ozone Level

5.1. Precursors

Photochemical reactions are the main source of tropospheric O3, whose concentration is closely related to the concentrations of NOX and VOCs. Generally, the ozone concentration in urban and suburban areas is mainly affected by photochemistry. The transmission of the “aging” urban plume has resulted in extremely high O3 levels (up to 286 ppbv) in rural sites downwind of Beijing, which are most affected by local photochemistry. In the suburbs of Shanghai, Guangzhou, and Lanzhou, strong in situ photochemical production is the main focus [25]. The characteristics of VOCs pollution and its contribution to atmospheric O3 formation in Wuhan city was studied [65]. The results showed that the local pollution source was the main source of VOCs pollution, and olefins had the highest chemical activity and the biggest contribution to atmospheric O3. Based on the observed data of atmospheric O3 and its precursors in Beijing in autumn 2004, the O3 generation efficiency in the region near the main traffic lines was calculated, and the results suggested that the reduction in VOCs emission was beneficial to the reduction in atmospheric O3 concentration [66]. Carbonyl compounds are important members of the VOCs family and are important precursors of secondary organic aerosols (SOA); alkenes, aromatics, and isoprene are primarily secondary products of carbonyl compounds; carbonyl groups are usually dominant in the formation of atmospheric O3 in rural areas [67]. Biovolatile organic compounds (BVOCs) played an important role in the formation of tropospheric O3, especially in urban areas [68]. The effects of BVOCs emission on the formation of tropospheric O3 and SOA were studied by using a WRF-CMAQ simulation system, and the results showed that the biogenic emission peaked in summer and decreased gradually from south China to north China [69]. High BVOCs emissions in eastern and southwestern China increased the ground-level ozone, particularly in the Beijing–Tianjin–Hebei region, Sichuan Basin, Yangtze River Delta and the central Pearl River Delta. The ozone isolines in the summer of 2013 showed that the O3 concentrations were controlled by NOx in most areas of China, and the effect of VOCs reduction on O3 concentration was less, except in the urban areas of Shanghai and Guangzhou [70]. An investigation into the O3 exposure indices and the source contributions in the forests of China throughout the entire year of 2013 suggested that the O3 production was much more due to NOx than due to VOCs [71].

5.2. Meteorological Factors

Tropospheric O3 concentration was found to be positively correlated with ambient air temperature, and negatively correlated with wind speed and relative humidity. On the contrary, NOx was positively correlated with relative humidity, and negatively correlated with temperature [72]. Under normal conditions, temperature can affect the concentration of O3 by influencing the reaction rate, while wind speed can affect the dilution and diffusion of pollutants. Relative humidity has some influence on photochemical reaction processes, and higher relative humidity can cause wet deposition and even lead to the erosion of pollutants by rainwater. It was reported that aerosol could change the photolysis rate of trace gases [73]. Absorption of aerosols can reduce UV flux throughout the troposphere, resulting in a reduction in near-surface O3. Based on the analysis of the meteorological effect on atmospheric O3 in Tianjin from 2009 to 2015, it was concluded that the tropospheric O3 level was more dependent on temperature in the afternoon than in the morning since the daily maximum temperature usually occurred in the afternoon [74]. In spring and summer, the maximum daily O3 was less dependent on the solar radiation than the ambient temperature. In autumn and winter, solar radiation played a more important role in determining O3 level. The concentration of atmospheric O3 had a weak negative correlation with the wind speed in spring, summer, and autumn, but a weak positive correlation with the wind speed in winter. Moisture in spring and autumn also had an effect on atmospheric O3 concentration due to the compensation between water vapor and O3. Air with high humidity raised ·OH radicals and produced higher O3 concentration in the areas with high NOx. At the same time, a rise in water vapor also consumed excited oxygen atoms and increased the loss of O3. The relationship between heat waves and the concentration of atmospheric O3 in the Yangtze River Delta was discussed [75]. The results showed that under the action of heat waves, the water vapor content and the cloud cover of the Yangtze River Delta were reduced because of the anticyclone controlled by the downdraft, which increased the concentration of atmospheric O3 in the presence of intense solar radiation. In the case of climate warming, the chemical reaction may cause the atmospheric O3 content to increase significantly, and the high temperature can also promote vertical turbulence and horizontal advection to some extent, which is beneficial to the removal of O3, but the extent is much less than that of the chemical action. Relevant studies have shown that the heat-island effect was directly or indirectly related to the increase in the emission of atmospheric O3 and its precursors. The pollution of atmospheric O3 in the Yangtze River Delta is becoming more and more serious, and the heat-island effect is the key factor affecting the atmospheric O3 level. There was a positive correlation between heat-island effect and the atmospheric O3 concentration in the Yangtze River Delta. The factors influencing the urban heat-island effect and atmospheric O3 include landscape, topography and population, but land surface temperature and vegetation index are the most important [76]. It was reported that the structure and evolution of weather was of great significance to the atmospheric photochemical pollution [77]. The level of ozone concentration affected by the surface and the boundary layer depends on the main weather conditions that are conducive to large-scale subsidence [78]. The eastern and central basins of the Mediterranean have obvious top-down ozone deposition, which is caused by adiabatic convection over the Persian Gulf during the Indian monsoon season [79]. The influence of Asian continental outflow on the regional background ozone level in the northern South China Sea was studied, and the results indicated that the Asian continental outflows brought about by the winter monsoon could be immense, and intense enough to affect regions from far south, at latitudes similar to Antarctica [80].

5.3. Atmospheric Particulates

Aerosols are small particles suspended in the atmosphere and play an important role in the earth’s radiation balance, air quality and cloud microphysics. They directly affect the regional and global climate by absorbing and scattering solar and terrestrial radiation, and indirectly affect the global climate by altering cloud formation characteristics. Ambient aerosol particles are mainly derived from anthropogenic activities and natural sources, such as residential heating, automobile exhausts, open-air combustion and volcanic activities [81]. The Asian monsoon brought in aerosols from biomass burning in southeast Asia, which were mixed with moist air particles in southern China, eventually reaching high aerosol concentrations in the spring, which reached the lowest concentration in winter [82]. There was a significant negative correlation between O3 and particulate matter in the margin of Tarim Basin, indicating that the effect of dust on solar transmittance in the atmosphere lead to a decrease in net O3 productivity [83]. The concentration of O3 was influenced by the nonuniform chemical processes occurring on the surface of particles, so increasing the concentration of PM2.5 could weaken the atmospheric radiation. This would allow the O3 level to be suppressed by eliminating ultraviolet light, which was consistent with the conclusions of Wang et al. [22] and Qu et al. [84]. In 2017, 338 main cities in China were selected to sample ambient air for 365 days to compare the concentrations of O3, NO2, SO2, particulate matter and CO in the atmosphere [85]. The results showed that O3 concentrations were significantly correlated with PM10 in 238 cities, among which, the coefficients in 142 cities were positive whereas those in 96 cities were negative. Most cities with positive correlations were mainly located in the south and northeast, while most cities with negative correlations were mainly located in the north of China. There was no significant correlation between O3 concentration and PM10 concentration in 100 cities. O3 concentrations were significantly correlated with PM2.5 in 250 cities, among which, the coefficients in 117 cities were positive and those in 133 cities were negative. Most cities with positive correlations were mainly located in the south, while most cities with negative correlations were mainly located in the north. There was no significant correlation between O3 concentration and PM2.5 concentration in 88 cities. The possible reason for the above results was that NOx and VOCs would simultaneously increase significantly on the particulate matter (PM) pollution days in many cities, and the increase in these precursors influences the atmospheric O3 concentration more than the particulates. Atmospheric O3 was usually used as a tracer for photochemical reactions. A large amount of O3 was used as an oxidant to enrich the secondary components of PM2.5 through a secondary photochemical process, so higher PM2.5/PM10 usually indicated the existence of more active photochemical reactions. To some extent, PM2.5/PM10 could be used as a reference index for the types of air pollution, that is, higher or lower PM2.5/PM10 indicated the complicated pollution types related to photochemical reaction [86].
The main fixed sources of PM2.5 and PM10 are smoke and dust produced by fuel combustion and gas oil during heating in industrial enterprises, such as power generation, oil and printing. The main moving source is exhaust gas emitted by road traffic vehicles into the atmosphere. The temporal characteristics of PM2.5 in Anhui province showed that PM2.5 decreased from January to July, and increased from July to December, that is, the concentrations of PM2.5 were lower in summer and higher in winter [87]. Some studies showed that PM2.5 and PM10 were positively correlated with NO2 and CO, and weakly correlated with O3. The high concentration of O3 in highly oxidized air in high-temperature seasons promoted the formation of secondary particulate matter, which made PM2.5 positively correlated with O3 [88]. Several studies have found that reducing PM2.5 might lead to an increase in atmospheric O3, and reducing emissions of NOx and VOCs is required to overcome this effect. A more important factor affecting O3 trends in the North China Plain (NCP) from 2013 to 2017 was the reduction in PM2.5, which slowed down the sink of hydroperoxy radicals, thus speeding up O3 production [89]. In addition, atmospheric particles could directly affect the scattering and absorption of radiation, consequently changing the intensity of incident ultraviolet radiation, and affecting the production of O3. The formation of O3 decreased with the decrease in UV radiation or light scattering associated with PM2.5 [90].

5.4. Weekend Effect

The weekend effect refers to the phenomenon of different atmospheric pollutants concentration between weekends and weekdays, mainly caused by human activities. On weekdays, the main anthropogenic precursor emissions are due to commuting driving, especially during the day. However, on the weekends, the main anthropogenic precursors might come from family-related recreational activities. The difference in vehicle emissions between weekdays and weekends is mainly related to fuel combustion products, fuel consumption, and the traffic patterns of gasoline and diesel vehicles. Heavy-duty diesel vehicles are the main source of NOx and black carbon (BC), while light-duty gasoline vehicles are the main source of CO2. In general, the diesel-fueled vehicles showed a significant reduction during weekends, resulting in a significant reduction in NOx and BC emissions. If the atmospheric system was at nitrogen oxide saturation in urban areas, the reduction in NOx emission on weekends may lead to a reduction in O3 titrations, which can reduce the inhibition of O3 formation, resulting in an increased O3 concentration on weekends. The “ozone quenching hypothesis” and “NOx reduction hypothesis” in the weekend effect prove that NOx plays a complex role in ozone production and termination [16]. The concentration of atmospheric O3 increased from weekdays to weekends for a number of sites in the Northern Front Range metropolitan area (NFRMA) of Colorado, with weekend reductions in NO2 at two sites in downtown Denver between 2000 and 2015, indicating that the region was in a NOx-saturated ozone production regime [91]. Similar results were found in Shenyang city from 2013 to 2015 [29]. Koo et al. [92] investigated the weekend effect in the Midwest (north-central and northeast) of the United States in the summer of 2005, and the results showed that the reduction in O3 on weekends depends on the increase in NOx emissions leading to an increase in O3 titration. The investigation of the weekend effect on O3 in Beijing in 2014 showed that the O3 concentration at weekends was overall higher than that on weekdays, especially in urban centers [93]. The atmospheric O3 generation might be limited by VOCs during summer, autumn and winter. However, the weekend O3 concentration was lower than on the working days in spring, suggesting that O3 production might be limited by NOx in this season. On the urban scale, the weekend effect in the central area of the city was larger than that in the suburb, but on the local scale, the weekend effect showed a downward trend, with an increase in urbanization. Weekend O3 changes depend on the intensity of the sunshine and the ratio of VOCs to NOx emissions [94].

6. Prevention and Control Measures for Tropospheric Ozone Pollution

In a particular region, the level of tropospheric O3 depends on meteorology and the interaction between O3 precursors. The distinction of these impacts is important for evaluating the effectiveness of past emission reduction measures and clarifying the direction of future control plans [95]. In order to effectively reduce the tropospheric O3 pollution, it is necessary to strengthen the prevention and control of corresponding pollutants.
(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

High ozone concentrations are harmful to humans and the ecological environment, and atmospheric ozone pollution is becoming a major environmental problem that has been plaguing the economic development in China. There are significant regional differences in the distribution of O3-max-8 h in China. The overall level of O3-max-8 h in the NCP is higher than that of other regions. Due to economic development and dense population, the eastern region has a higher level of O3-max-8 h, and the high-value areas are distributed in flakes and bands. The high O3-max-8 h areas are mainly concentrated in the Beijing–Tianjin–Hebei region, the Yangtze River Delta and the Pearl River Delta. In general, the tropospheric ozone concentration is higher in summer while lower in winter, and higher in coastal areas and lower inland. The concentration of tropospheric O3 is related to its precursors, air temperature, solar radiation, air humidity, wind speed and the boundary-layer height. There is a highly nonlinear relationship between O3 and its precursors (NOx and VOCs), and the influencing mechanisms of NOx and VOCs in different regions are quite different. Generally speaking, the rural area is controlled by NOx and the urban area is controlled by VOCs. In addition, the influence of meteorological factors on tropospheric ozone concentration also has large regional differences. The control of atmospheric O3 should, first of all, be at a specific location. Secondly, the control of atmospheric O3 should be time-dependent, and largely depends on the meteorological conditions. Finally, in all cases, the optimal VOCs/NOx ratio for controlling emissions should be studied in detail. Through the coordinated control of O3 and other air pollution, such as PM2.5/PM10, we can realize people’s high expectations of the air environment.

Author Contributions

Conceptualization, R.Y.; writing—original draft preparation, Y.L., J.Z.; writing—review and editing, R.Y.,Y.L., C.C. and Y.D.; supervision, R.Y.; project administration, R.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China (No. 21777049) and the Graduate Tutor Team Project in Fujian Province, China (418-50300012). The APC was funded by both of the projects.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Acknowledgments

We acknowledge Gongren Hu and Yu Yan for some comments on the manuscript as well as the anonymous reviewers and editors for helpful comments on the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Spatial distribution of annual average O3-max-8 h in China from 2013 to 2018. Reprinted with a permission from ref. [19]. Copyright 2021 Li Ze Yuan.
Figure 1. Spatial distribution of annual average O3-max-8 h in China from 2013 to 2018. Reprinted with a permission from ref. [19]. Copyright 2021 Li Ze Yuan.
Atmosphere 12 01675 g001
Table 1. Main reactions of the formation and loss mechanisms of tropospheric ozone.
Table 1. Main reactions of the formation and loss mechanisms of tropospheric ozone.
ReactionReaction Number
NO 2 +   h ν   ( λ < 420   nm )     NO   +   O ( P 3 ) (R1)
O ( P 3 ) + O 2 +   M   O 3 +   M (R2)
NO   +   O 3   NO 2 +   O 2 (R3)
RO 2 +   NO     RO +   NO 2 (R4)
HO 2 +   NO     NO 2 + OH (R5)
OH   +   RH     R +   H 2 O (R6)
R +   O 2 +   M     RO 2 +   M (R7)
OH   +   CO     H   +   CO 2 (R8)
H   +   O 2 +   M     HO 2 +   M (R9)
O 3 +   h ν     O 2 +   O ( D 1 ) (R10)
O ( D 1 ) +   H 2 O     2 OH (R11)
HONO   +   h ν     OH   + NO (R12)
O 3 + O l e f i n s     products (R13)
O 3 + OH       HO 2 +   O 2 (R14)
O 3 + HO 2     OH   + 2 O 2 (R15)
Table 2. Summary of tropospheric ozone concentrations in some regions of China.
Table 2. Summary of tropospheric ozone concentrations in some regions of China.
RegionPeriodMaximum Value or Range (ppbv)PrecursorsReference
Jing-Jin-Ji Urban Agglomeration2013–2015(O3-8 h) 77.5–81 * [23]
Jing-Jin-Ji regionJanuary–December 2017(O3-1 h) 139.5 [22]
Chang   Ping ,   Beijing 21 June–31 July 2005(O3-1 h) 286VOCs (Alkenes, aromatics)[25]
Beijing2014–2017(O3-8 h) 98–103 * [24]
Nantong, Jiangsu2013–2015(O3-8 h) 83.5 *CO, VOCs (propene, ethane, xylene, acetylene)[26]
Taicang ,   Shanghai 4 May–1 June 2005(O3-1 h) 127VOCs (Alkenes, aromatics)[25]
Shanghai2014–2017(O3-8 h) 76–94 * [24]
Jiaxing, Zhejiang27 June–31 August 2013(O3-1 h) 84 *CO, NO2[27]
Shouxian, AnhuiJanuary 2015–December 2018(Monthly mean) 51.3 [28]
Wan Qing Sha ,   Guangzhou 20 April–26 May 2004(O3-1 h) 178VOCs (aromatics)[25]
Guangzhou2014–2017(O3-8 h) 76–85 * [24]
Renshoushan   Park ,   Lanzhou 19 June–16 July 2006(O3-1 h) 143VOCs (alkenes)[25]
Shenyang ,   Liaoning 2013–2015(O3-8 h) 77 *NO2, CO[29]
JiangxiJanuary 2015–August 2017(O3-1 h) 40.5–70 * [30]
Chengdu, SichuanJanuary 2014–December 2016(O3-8 h) 2.5–146.5 * [31]
Chengdu2014–2017(O3-8 h) 68–94 * [24]
SichuanJuly 2017(O3-8 h) 141.3 *VOCs[32]
NCPJune 2017(O3-1 h) 91 * [33]
1. O3-1 h: Maximum 1 h average; O3-8 h: Maximum 8 h average. 2. Note: * For rough estimates from the literature.
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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

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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

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Yu, 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

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