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Factors controlling surface ozone in the Seoul Metropolitan Area during the KORUS-AQ campaign

Authors:

Heejeong Kim,

Department of Earth and Environmental Sciences, Korea University, Seoul, KR
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Junsu Gil,

Department of Earth and Environmental Sciences, Korea University, Seoul, KR
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Meehye Lee ,

Department of Earth and Environmental Sciences, Korea University, Seoul, KR
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Jinsang Jung,

Center for Gas Analysis, Korea Research Institute of Standards and Science, Daejeon, KR
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Andrew Whitehill,

US EPA, Research Triangle Park, Durham, NC, US
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James Szykman,

US EPA, Research Triangle Park, Durham, NC, US
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Gangwoong Lee,

Department of Environmental Sciences, Hankuk University of Foreign Studies, Yongin, KR
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Deug-Soo Kim,

Department of Environmental Engineering, Kunsan National University, Kunsan, US
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Seogju Cho,

Seoul Metropolitan Government Research Institute of Public Health and Environment, Gyeonggi-do, KR
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Jun-Young Ahn,

Department of Climate and Air Quality, National Institute of Environmental Research, Incheon, KR
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Jinkyu Hong,

Department of Atmospheric Sciences, Yonsei University, Seoul, KR
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Moon-Soo Park

Research Center for Atmospheric Environment, Hankuk University of Foreign Sturdies, Yongin, KR
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Abstract

To understand the characteristics of air quality in the Seoul Metropolitan Area, intensive measurements were conducted under the Korea-United States Air Quality (KORUS-AQ) campaign. Trace gases such as O3, NOx, NOy, SO2, CO, and volatile organic compounds (VOCs), photochemical byproducts such as H2O2 and HCHO, aerosol species, and meteorological variables including planetary boundary layer height were simultaneously measured at Olympic Park in Seoul. During the measurement period, high O3 episodes that exceeded the 90 ppbv hourly maximum occurred on 14 days under four distinct synoptic meteorological conditions. Furthermore, local circulation such as land–sea breeze and diurnal evolution of the boundary layer were crucial in determining the concentrations of precursor gases, including NOx and VOC as well as O3. During such episodes, the nighttime NOx and VOC and daytime UV levels were higher compared to non-episode days. The overall precursor levels and photochemical activity were represented fairly well by variations in the HCHO, which peaked in the morning during the high O3 episodes. This study revealed that toluene was the most abundant VOC in Seoul, and its concentration increased greatly with NOx due to the large local influence under stagnant conditions. When O3 was highly elevated concurrently with PM2.5 under dominant westerlies, NOx and VOCs were relatively lower and CO was noticeably higher than in other episodes. Additionally, the O3 production efficiency was the highest due to a low NOx with the highest NOz/NOy ratio among the four episodes. When westerlies were dominant in transport-south episode, the nighttime concentration of O3 remained as high as 40~50 ppbv due to the minimum level of NOx titration. Overall, the Seoul Metropolitan Area is at NOx-saturated and VOC-limited conditions, which was diagnosed by indicator species and VOC/NOx ratios.

Knowledge Domain: Atmospheric Science
How to Cite: Kim, H., Gil, J., Lee, M., Jung, J., Whitehill, A., Szykman, J., Lee, G., Kim, D.-S., Cho, S., Ahn, J.-Y., Hong, J. and Park, M.-S., 2020. Factors controlling surface ozone in the Seoul Metropolitan Area during the KORUS-AQ campaign. Elem Sci Anth, 8(1), p.46. DOI: http://doi.org/10.1525/elementa.444
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 Published on 25 Aug 2020
 Accepted on 22 Jul 2020            Submitted on 31 Aug 2019
Domain Editor-in-Chief: Detlev Helmig; Boulder A.I.R. LLC, US
Associate Editor: Alex Guenther; Atmospheric Chemistry Division, National Center for Atmospheric Research, US


1. Introduction

Tropospheric ozone (O3), which is known as a short-lived climate pollutant, is a potent greenhouse gas that acts as a product and initiator in environmental photochemical reactions (IPCC, 2007). It has been a critical cause of the increasing rate of climate change over the years and is harmful to human health, vegetation, and ecosystems due to its strong oxidation capacity (Benton et al., 2000; Fuhrer, 2003; Kampa and Castanas, 2008; Karnosky et al., 2005; Thompson, 1992; Thurston and Ito, 2001). Ozone is primarily transported from the stratosphere and produced via photochemical reactions that involve nitrogen oxides (NOx), volatile organic compounds (VOCs), and carbon monoxide (CO) in the presence of sunlight (NRC, 1991). These O3 precursors are emitted into the atmosphere from many diverse sources (e.g., vehicle exhaust, industrial activities, residences, and biogenic activities). Ozone is produced rapidly under highly elevated NOx and VOC concentrations, which may lead to severe surface O3 pollution (Jacob, 1999). Many metropolitan areas across the globe have suffered from extreme O3 pollution, with severe exceedances of the National Ambient Air Quality Standards (NAAQS). For example, in North America and Europe, the number of severe O3 pollution events rose in the 1990s, which were alleviated by imposing strict emission controls (Chang et al., 2017; Cooper et al., 2014). Significant research has been conducted for several decades on alleviating air pollution in urban areas in Europe and North America (Jenkin and Clemitshaw, 2000; Singh et al., 2006; Solomon et al., 2000). For example, Los Angeles was troubled with photochemical smog in the 1900s; however, the O3 was alleviated after research was conducted and stringent control strategies were implemented on emissions (Fenger, 1999; Jacob, 1999). Similarly, Houston suffered from extreme O3 pollution in the summer of 2000 and the Texas Air Quality Study (TexAQS) was conducted to determine why the city frequently faced severe O3 exceedances of the NAAQS (Banta et al., 2005). In Mexico City, a high population density and local geographical features facilitated the O3 and PM2.5 pollution; therefore, the “Megacity Initiative: Local and Global Research Observations-the Mexico City Metropolitan Area (MILAGRO-MCMA)” campaign was conducted to improve the Mexico City Metropolitan Area emissions inventory and to understand the overall atmospheric pollution (Molina et al., 2006; Song et al., 2010).

The highest concentrations of O3 and other pollutants frequently occur in major metropolitan areas in South and East Asia owing to urbanization and industrialization, which is causing significant increases in O3 precursor emissions (Akimoto, 2003; McGranahan and Murray, 2012; Molina and Molina, 2004). In China, Beijing is one of the most populated cities and suffers from the high O3 pollution with severe NAAQS exceedances (Wang et al., 2006; Wang et al., 2017; Xu et al., 2011). To improve the understanding of VOC-NOx-O3 chemistry, the Campaign of Air Quality Research in Beijing and surrounding areas (CARE-Beijing) was conducted in 2006 (Chou et al., 2009).

The Seoul Metropolitan Area (SMA) accounts for approximately 44% of South Korea’s population (51 million), which has approximately 10 million registered vehicles (KOSTAT, 2019). Thus, the SMA suffers from high NOx and VOC concentrations, which is a major hindrance in maintaining good air quality (An et al., 2015; Iqbal et al., 2014; Na et al., 2003). In Seoul, primary pollutants such as CO and SO2 decreased sharply until the early 2000s and have remained low since then (KMOE, 2017). The mean annual PM2.5 concentration has also decreased (Seoul, 2017). However, the O3 levels have clearly increased since 2005, in spite of the NO2 decrease. Han et al. (2013) suggested that the increased O3 concentration in Seoul adequately represents the complex nonlinearity between O3 and its precursors. In Seoul, the highest hourly O3 mixing ratio reached approximately 150 ppbv in the spring of 2017 (KMOE, 2017), and thus the reduction of O3 and its precursors has become an imminent environmental issue as well as further reduction in PM2.5 concentrations.

To investigate and identify the key constituents and parameters involved in the photochemical formation of O3, which eventually leads to O3 pollution, a multi-year study was conducted in the eastern parts of Seoul (at Olympic Park and Korea University) from 2004–2005 (Lee et al., 2008b; Shon et al., 2007). Moreover, the Megacity Air Pollution Study-Seoul (MAPS-Seoul) was conducted to investigate the meteorological and chemical factors that contribute to O3 formation in May and June of 2015 (Kim and Lee, 2018). The main result of these study was that O3 formation in Seoul is generally VOC-sensitive (Kim et al., 2018a; Lee et al., 2008a).

The Korea-United States Air Quality (KORUS-AQ) campaign, performed in the spring of 2016, was a comprehensive measurement study to investigate the diverse aspects of air quality problems in East Asia and to evaluate the air quality of the SMA (KORUS-AQ mission whitepaper, 2015). This study, which was conducted as part of the KORUS-AQ campaign, aims to understand the photochemical mechanisms of O3 formation in the SMA, diagnose its sensitivity, and identify the crucial factors that control O3 formation in early summer (May–June).

2. Experimental methods

2.1. Measurements

Seoul, the capital of South Korea, is a basin surrounded by mountains with the Han River flowing across the center from east to west. The old town is located in the northern part of the Han River and forms a historical and political center, while the south is a newly developed area that serves as a residential and economic center. Ground measurements were conducted at Olympic Park, located in southeastern Seoul, from May 10 to June 12, 2016 (Figure 1). Olympic Park (37.52 N, 127.12 E) is surrounded by trees, main roads (400–600 m away), and residential areas. All measurement instruments were installed in a two-story container house, which was located close to a small lake (~50 m) and swimming stadium with a parking lot (~200 m).

Figure 1 

Map showing the Korean Peninsula and the capital city, Seoul. Olympic Park, utilized as a ground measurement site in Seoul, is located in the southeast portion of Seoul (37.52 N, 127.12 E). DOI: https://doi.org/10.1525/elementa.444.f1

During the field measurements, trace gases including O3, NOx, NOy, SO2, CO, and VOCs, aerosol species, and photochemical indicators (e.g., H2O2 and HCHO) were measured simultaneously. The Korea Research Institute of Standards and Science (KRISS) measured the O3, NOx, CO, and SO2 concentrations using a series of KENTEK instruments (South Korea) utilizing UV absorption (Mezus 410), chemiluminescence with a photolytic converter (Mezus 210P), non-dispersive infrared technique (Mezus 310), and UV fluorescence (Mezus 110), respectively. The detection limit was 0.5 ppbv for O3, NO, NO2, and SO2, and 50 ppbv for CO. The NOx, SO2, and CO instruments were calibrated every three days against zero air and span gas (400 ppbv for NOx and SO2; 4 ppm for CO). The O3 monitor was calibrated before and after the field campaign using the standard reference photometer of KRISS. The NOy measurement (T200U, Teledyne, USA) was made by Kunsan National University. To minimize the loss of reactive nitrogen oxide (e.g., PAN, HNO2, and HNO3) in the sample, the molybdenum converter was mounted externally, close to the sample inlet. The detection limit of NOy was 0.5 ppbv. Three calibrations were performed by KRISS against NO (101.26 μmol/mol) and NO2 (50.05 μmol/mol) using a Teledyne (T700) calibrator. The concentration change was verified for 30 min to 1 h after injecting zero and standard gas (400 ppbv) directly through the sample line.

For VOCs, of the total 56 species of O3 precursors species, C6–C12 (34 species) and C2–C5 (22 species), were measured at Olympic Park and a nearby Gwangjin site (37.55 N, 127.09 E), respectively, by the Seoul Research Institute of Public Health and Environment (SRI) utilizing a gas chromatography flame ionization detector (GC-FID). In addition, the National Institute of Environmental Research (NIER) operated a proton-transfer-reaction mass spectrometer (PTR-MS) in Olympic Park to detect acetone, acetaldehyde, and methyl ethyl ketone (MEK). A detailed description of the VOC species is summarized in Kim et al., 2020.

The United States Environmental Protection Agency (EPA) installed Aerodyne quantum cascade lasers (TDL Wintel v14.91) in the second floor of container house to detect formaldehyde (HCHO). The instrument accuracy was 10%, and its precision was 0.06 ppbv (Spinei et al., 2018). A quantum cascade-tunable infrared laser differential absorption spectrometer (QC–TILDAS) was used by the Hankuk University of Foreign Studies (HUFS) to measure hydrogen peroxide (H2O2) and nitrous acid (HONO).

PM2.5 mass concentration and composition were measured by the SRI. The mass was monitored every 5 min utilizing beta attenuation techniques (FH 62 C14 series, Thermo Fisher Scientific). The composition was analyzed every hour for soluble ionic species using a monitoring of aerosols and gases system (MARGA, model ADI 2080, DOGA Limited, Turkey).

Meteorological parameters were monitored on site by NIER. In particular, the planetary boundary layer (PBL) height was retrieved from the continuous backscatter profiles obtained from a ceilometer (CL-51, Vaisala Inc.) by the EPA. At a nearby Jungnang site (37.5907°N 127.0794°E) that is located 8.5 km northwest of Olympic Park, vertical wind profiles were continuously monitored by pulsed Doppler wind lidar (Leosphere, Windcube-200) (Park et al., 2017). These two sets of measurements provide a unique opportunity to investigate the role of boundary layer dynamics in air quality. Considering the different time resolutions of the various measurements, all measured species were averaged hourly and merged into a dataset for further analysis in this study.

2.2. Model description

The air-mass trajectory was traced backward using the hybrid single-particle Lagrangian integrated trajectory (HYSPLIT) model with a global data assimilation system (GDAS, 1 degree) from the U.S. National Oceanic and Atmospheric Administration (NOAA) (Draxler and Hess, 1998; Stein et al., 2015), and the trajectories were calculated and plotted using Trajstat software (Wang, 2014).

This study used the framework for 0-D atmospheric modeling (F0AM) to simulate diurnal O3 variations using measured NOx and VOC concentrations as hourly averages. The F0AM was initially introduced as an advanced version of 1D chemistry for the atmosphere-forest exchange (CAFE) model (Wolfe et al., 2016), but was applied to various types of experiments and analyses. The F0AM provides a chemical mechanism, such as a master chemical mechanism (MCM) or a regional atmospheric chemistry mechanism (RACM), and facilitates the simulation of an atmospheric chemistry system, including the time evolution of photochemical process, VOC oxidation, radical production, and photolysis. In this study, MCMv3.3.1, written in MATLAB, was utilized as the chemical mechanism.

3. Results and discussion

3.1. Measurement overview

The measurement results of the trace gases (e.g., O3, NOx, NOy, SO2, HCHO, CO, and VOCs), PM2.5, and meteorological factors are presented for the May 10 to June 12 study period (Figure 2), and the VOCs are given for each of the sub-classes. During the entire measurement period, the daily maximum 1- and 8-h average O3 mixing ratios were 128 ppbv and 96 ppbv, respectively, and were observed on June 10, 2016 (Table 1). The O3 mixing ratios showed a variation that is typical of polluted urban sites; these variations were characterized by a clear maximum during the day and a very low level at night. The O3 mixing ratios, however, occasionally remained high (greater than 40 ppbv) at night with a low NOx. The average NOx mixing ratio for the entire study period was 30 ± 23 ppbv (NO: 6.2 ± 12.1 ppbv and NO2: 23.9 ± 14.4 ppbv) within a range of 0.1 to 148.9 ppbv. The highest NOx was observed at night on May 18. At night, the NOx frequently exceeded 50 ppbv and exceeded 100 ppbv for 5 consecutive days. NOy variations showed similar patterns to NOx and ranged from 2.8 to 145.0 ppbv with a mean of 35.6 ± 23.3 ppbv. Furthermore, NOz as [NOy] – [NOx] ranged from 1 to 20.0 ppbv, with an average of 5.9 ppbv. The total oxidant (Ox) as the sum of O3 and NO2 exhibited a typical distribution similar to that of O3 with a maximum of 144 ppbv at 15:00 on June 10. In this case, O3 accounted for almost 90% of the Ox in the daytime, and the concentration of NO2 was mainly high during the nighttime.

Figure 2 

Time-series variation of reactive gases (O3, NO, NO2, NOy, CO, SO2, and HCHO), PM2.5 mass and composition (NO3, SO42–, NH4+, and OC), meteorological parameters (temperature, relative humidity, and boundary layer height), and total VOCs classified into four subgroups (alkanes, alkenes and alkynes, aromatics, and OVOCs). The C2–C5 hydrocarbons were measured at the Gwangjin site near Olympic Park. The PM2.5 composition is given as the daily average. DOI: https://doi.org/10.1525/elementa.444.f2

Table 1

Measurement statistics of O3, PM2.5, NOx, NOy, CO, SO2, VOCs, HCHO, and meteorological parameters during the KORUS-AQ campaign, and the number of days (out of total 34 days) during which O3 and PM2.5 values exceeded the NAAQS. DOI: https://doi.org/10.1525/elementa.444.t1

Species Mean ± SD (ppbv) Maximum (ppbv) Exceedance days

O3 39 ± 27 128 6a, 26b
PM2.5 29± 16 (µg m–3) 88 (µg m–3) 23c
NOx 30± 23 149
NOy 36± 23 145
CO 537± 190 1113
SO2 4.2± 2.1 15.0
TVOCs 39± 18 105
Alkanes 16± 11 69
Alkenes and Alkynes 4± 1 8
Aromatics 9± 5 27
OVOCs 10± 3 26

Formaldehyde 3.6± 1.6 9.6
Temperature (°C) 20.8± 4.8 30.6
Relative Humidity (%) 60.7± 19.4 97.8
Planetary Boundary Layer Height (m) 774± 513 2624
Wind Speed (m/s) 0.5± 0.4 2.3

a Exceedance of 1-h standard of 100 ppbv.

b Exceedance of 8-h standard of 60 ppbv.

c Exceedance of 24-h standard of 35 µg m–3.

As a byproduct of VOCs oxidation, HCHO was measured from May 12 to June 11, and the mean was 3.6 ± 1.6 ppbv. From May 18 to May 23, when NOx was the highest, the HCHO was also elevated, and the highest HCHO was 9.6 ppbv on May 20.

During the entire experiment, the mean and maximum PM2.5 were 29 ± 16 µg m–3 and 88 µg m–3, respectively. The PM2.5 concentration exceeded the daily standard of 35 µg m–3 from May 25 to May 31. During this period, the major ionic species, including nitrate (NO3), sulfate (SO42), and ammonium (NH4+), were highly elevated and accounted for nearly one-third of the PM2.5 mass. In conjunction with an increase in PM2.5, the CO increased to 1112 ppbv, which is more than twice the average CO mixing ratio (537 ± 190 ppbv). In addition, the SO2 increased and remained high during this period. Unlike inorganic species, organic carbon (OC) was the most abundant from May 20–23 when PM2.5 concentrations were relatively low.

In this study, the four VOC sub-classes were considered as O3 precursors and included in the total VOCs (TVOCs): alkanes, alkenes and alkynes, aromatics, and oxygenated VOCs (OVOCs). Of these, the C2–C5 species were measured at the Gwangjin site near Olympic Park. Due to the scarcity of VOC measurements, it was not feasible to investigate the spatial homogeneity of the two sites. In Seoul, however, the OH reactivity and temporal variability of light VOCs were generally less than that of heavy VOCs (Seoul City, 2017). Therefore, the measurements from the two sites were combined for further discussion.

Among these, the alkanes were the most abundant and accounted for 40% of the total VOCs, followed by OVOCs, aromatics, and alkenes (Figure 2). The highest concentration among the individual species was acetone, followed by ethane and toluene. The highest toluene and acetone mixing ratios, 16 and 13 ppbv, respectively, occurred on June 10.

The temperature gradually increased from May to June, and the daily maximum temperature exceeded 30°C for four days during the entire period. The relative humidity varied from 16.6 to 97.8% and the PBL height significantly varied from 121 to 3,507 m according to the meteorological conditions.

3.2. High O3 episodes

3.2.1. O3 and PM2.5 standard exceedance

In South Korea, the NAAQS for O3 are 100 and 60 ppbv for the 1- and 8-h averages, respectively. Based on these criteria, the O3 exceeded the NAAQS on 6 and 26 days, respectively, which means that the 8-h O3 standard was violated for approximately two-thirds of the experiment period. In this context, the high O3 episodes were selected for which the daily maximum O3 exceeded 90 ppbv (96th percentile) in the present study. This concurred with the “moderate” phase of the Comprehensive Air-quality Index (CAI) that classifies ambient air quality according to the health risks of air pollution. As a result, in total, 14 days were chosen as high O3 episodes. Over the same period, PM2.5 exceedance occurred on 10 days, when the daily PM2.5 concentration was higher than 35 µg m–3 (1-day NAAQS for PM2.5).

3.2.2. Synoptic weather condition

Because the study region was under the influence of the East Asian Monsoon, northerly winds were dominant from December to February, while southerly winds brought heavy rain from July to September. Before the summer monsoon season, there is a transition period during which air masses are frequently stagnant, with a low wind speed (<2 m/s), and high radiant heating during the day in May and June (Kim et al., 2018a). For the KORUS-AQ period, meteorological conditions showed dynamic variations, leading to an increase in O3 or PM2.5 concentrations (Kim et al., 2018b; RSSR, 2017). While high O3 events were identified under various synoptic weather conditions like the stagnant, transport, and blocking periods (Peterson et al., 2019), the PM2.5 exceedance days occurred mostly during the transport period.

With the HYSPLIT model, the 24 h backward trajectories of air masses arriving at an altitude of 500 m, were analyzed every 3 h for the entire experiment period. Through cluster analysis, these trajectories were separated into four groups (Figure 3), in which the 14 days of high O3 episodes were found in groups according to synoptic weather conditions. As a result, the four trajectory clusters were connected with the distinct synoptic weather periods, representing the mean trajectories of air masses for the stagnant (C1), blocking (C2), and transport (C3 and C4) periods.

Figure 3 

Four trajectories identified from air mass cluster analyses at 500 m for 24-h using NOAA HYSPLIT model. The high-O3 episode days belong to these four clusters: stagnation to C1, blocking to C2, transport-north to C3, and transport-south to C4. DOI: https://doi.org/10.1525/elementa.444.f3

The episodes from May 18–23 belonged to C1 under a high-pressure system residing over the Korean Peninsula (except for May 21). Similarly, C2 included the high O3 events that occurred in June under a blocking pattern over East Asia (June 2, 5, 7, 9, and 10). In contrast, the episodes of C3 and C4 were characterized by highly elevated PM2.5 concentrations under the influence of dominant westerlies. While C3 included the impact of Northern China, including North Korea (May 17, 29, and 30), C4 was distinguished by the air mass from the southeastern part of China (May 25) (Peterson et al., 2019). Thus, the transport period was split into transport-north (C3) and transport-south (C4) period. The measurements of reactive gases and meteorological parameters were sorted by episode and compared with each other and with those of non-episode periods (Figure 4).

Figure 4 

Box-whisker plots of major chemical and meteorological species and their ratios. Categorized into four high O3 episodes, then further divided into day (06:00–19:00) and night (20:00–05:00) and compared with the non-episode periods. UV is colored in red and cloud coverage in blue. DOI: https://doi.org/10.1525/elementa.444.f4

This study focused on the 14 days of high O3 episodes that were categorized into the four groups (C1–C4), for which the relevant reactive precursors were comprehensively analyzed and the factors affecting the O3 level were thoroughly investigated in the following section.

Temperature and relative humidity showed a gradual change from C1 to C4. Likewise, the PM2.5, SO2, and CO concentrations increased from C1 to C4. In comparison, VOC and NOx were similar in variation to those of UV and PBLheight and noticeably higher in C1 than in C4. While O3 levels were comparable during the day, the nighttime concentration was clearly higher in C4. Among the four episodes, C1 was characterized by high temperatures, PBL heights, and NOx concentrations. In contrast, C4 was distinguished by a concurrent increase in O3 and PM2.5, with high SO2 and low NOx concentrations. The similarities and differences in the measured variables between the four episodes reveal key factors controlling the air quality and indicate the intimate coupling between chemical and meteorological processes at local and regional scales.

3.2.3. Diurnal evolution of O3 and its precursors

The UV and precursor levels were noticeably high during the high O3 episodes compared to the non-episode periods (Figure 4) and their diurnal evolution varied from episode to episode (Figure 5). In this section, therefore, the diurnal variations of the chemical species and meteorological variables were examined in detail for the four episodes. For instance, the UV level was highly variable and did not directly correlate with the O3 (Figure 5). In a previous study, the UV level was not a key factor that determined high O3 concentrations (Lee et al., 2008b). In this study, the UV level variations were related to cloud coverage (low and medium levels). In C4, the UV level was low due to a thick cloud cover in the morning, but it rapidly increased with a decrease in cloud coverage around noon, leading to a sharp O3 peak at 15:00 (Figure 5d). On the contrary, the O3 peak time was 14:00 during the non-episode period, with increased cloud coverage in the afternoon (Figure 5e). Therefore, these four high O3 episodes demonstrate the weather conditions that meet the prerequisites for high O3 formation.

Figure 5 

Diurnal variations of O3, PM2.5, cloud coverage, and UV (upper panel), and aromatics, NOx, HCHO, and H2O2 (lower panel) for four high O3 episodes. (a) C1, (b) C2, (c) C3, and (d) C4, and (e) the non-episode. DOI: https://doi.org/10.1525/elementa.444.f5

One of the main results of the KORUS-AQ campaign revealed that mesoscale circulation, such as the land–sea breeze, was a critical factor determining the O3 level in Seoul (Peterson et al., 2019; RSSR, 2017). This was observed in the C1 episode, when stagnant condition and weak synoptic flow enhanced land-sea breeze (Peterson et al., 2019). On May 20, the O3 level increased abruptly and reached a maximum at 18:00.

As a major source and sink of odd-hydrogen radicals, the variations of HCHO and H2O2 were examined under different conditions during the four high O3 episodes and non-episode (Figure 5). Previous studies reported that HCHO reached a maximum at 10:00–11:00 or 14:00–15:00, which varied based on the season (Li et al., 2014; Pang and Mu, 2006). Most interestingly, there were three HCHO peaks identified in the present study, one in the morning, afternoon, and evening. The morning peak appeared right after the maximum NOx occurred and was most pronounced in C1 when there was no typical afternoon maximum for HCHO (Figure 5a). Instead, the HCHO increased with NOx at night, which was the most noticeable on May 21 and 22 (Figure 2). This is primarily related to the daily evolution of boundary layer.

In the stagnant condition (C1), NOx and VOC levels were highly elevated at night, but at a minimum in the afternoon. While the shallow PBL resulted in the enrichment of precursors at night, all precursor levels were at their minimum levels when the boundary layer was the deepest in the afternoon. In the morning, the UV level was the highest for all four episodes, which likely expedited VOC oxidation and led to HCHO formation, and in turn, HO2 radical production. It was recently hypothesized that OH radicals produced from HONO photolysis initiated VOC oxidation early in the morning during the high O3 episodes (Gil et al., 2020). It is likely to be a plausible reason for the morning HCHO peaks observed in this study.

In general, the afternoon peak was evident and represented the daily maximum HCHO, which was the most pronounced on May 25 (C4) (Figure 5d). The daily maximum was not significantly different between episodes (5–6 ppbv), although it was substantially lower during non-episodes. Likewise, the background HCHO level was higher during the high O3 episodes (~4 ppbv) than during non-episodes (~3 ppbv). Furthermore, the morning and night HCHO peaks agreed well with the VOC and NOx levels. These results imply that HCHO serves as a robust tracer for the overall VOC activity that leads to O3 formation. The minimum HCHO for the entire measurement period, which was no less than 2 ppbv, indicates that it needs to be further investigated to determine whether it was a result of primary or secondary sources.

In the four episodes, the diurnal variation of H2O2 was different in the peak time between 14:00 and 19:00. Except for C1, H2O2 reached its maximum around 17:00, after the O3 peak. In C1, the H2O2 mixing ratio increased in the early morning and showed a broad maximum around 14:00, before the O3 maximum (Figure 5a). This is likely associated with the morning HCHO peak, which readily produced HO2 radicals and promoted HO2 formation. In the present study, the H2O2 levels were higher during the high O3 episodes than during the non-episodes; however, the maximum barely exceeded 1 ppbv due to the high NOx, which was particularly high at night. In C1, the boundary layer was the most intensively expanded during the day, and the levels of primary species rapidly decreased accordingly, creating a favorable condition for H2O2 formation.

These findings demonstrate that the photochemical characteristics differed between episodes and that the cycle of odd-hydrogen radicals was closely related to the overall precursor level and meteorological conditions.

3.3. Planetary boundary layer effects on air quality

In Northeast Asia, atmospheric pollutant levels are significantly affected by synoptic weather conditions, which was also observed in this study (Jordan et al., 2020; Peterson et al., 2019). Additionally, the daily evolution of the boundary layer has been found to be a critical factor determining urban air quality (e.g., Huang et al., 2018). As expected, in the present study, O3 and CO were positively and negatively correlated with the PBL height, respectively (Figure 6). The measurement data presented for each episode shows that the boundary layer was deeper in C1 and C2 than in C3 and C4. Nevertheless, O3 levels were comparable for the four episodes because a deep boundary layer not only promotes O3 production through NOx dilution, but also dilutes photochemically produced O3. In Figure 6a, outliers were mostly observed in C1 and C2. Especially, on May 20 (C1), the O3 concentration rapidly increased with a decrease in the PBL height, reaching up to 113 ppbv at 18:00. It turned out that this was caused by mesoscale circulation, such as a land–sea breeze (Peterson et al., 2019).

Figure 6 

Correlation between planetary boundary layer (PBL) height and (a) O3, (b) CO, and (c) PM2.5 for the high O3 episodes and a non-episode. DOI: https://doi.org/10.1525/elementa.444.f6

The relationship between PBL height and CO demonstrates that the CO level was affected by the PBL because it was diluted during the day and accumulated at night (Figure 6b) and was evidently higher during transport episodes (C3 and C4) than the other episodes. This characteristic was partially attributed to the change in the PBL height under different synoptic meteorological conditions. Like CO, PM2.5 concentration was inversely related to the PBL height (Figure 6c). Considering that the highest PM2.5 was due to secondary inorganic ions at night in C4 episode, this relationship suggests that there must be other mechanisms responsible for nighttime increases in PM2.5 than accumulation or transport, which is addressed in Jordan et al. (2020).

In addition to the high O3 occurrence observed on May 20, O3 often increased or remained high after sunset, which was associated with the low PBL height as shown in Figure 6a. On May 23–24 and June 5–6, the O3 increase was accompanied with an increase in H2O2 and a decrease in CO from 00:00–02:00 (Figure 7a and b). These events took place in association with a rapid change in the PBL height (C1 and C2, respectively). In comparison, the nighttime O3 and H2O2 enhancement was concurrent with an increase in CO and PM2.5 on May 25–26 and 30–31, during which the PBL height remained low (C3 and C4, respectively) (Figure 7c and d). The PBL was overlaid with the vertical wind vectors measured by the Doppler wind lidar in Figure 7, which revealed the detailed boundary layer structure, particularly when the PBL was shallow at night.

Figure 7 

Diurnal variations of O3, PM2.5, CO, and H2O2 at night with the boundary layer height (white line) and vertical wind profile (wind speed and direction) up to 3 km measured by a pulsed Doppler wind lidar at the Jungnang site near Olympic Park on (a) May 23–24, (b) June 5–6, (c) May 30–31, and (d) May 25–26. DOI: https://doi.org/10.1525/elementa.444.f7

For cases C1 and C2, the PBL change was associated with strong southerly winds above the boundary layer and at the surface, respectively. These horizontal winds were possibly due to local circulation such as land and mountain breezes, which caused the boundary layer to become unstable and the nocturnal residual layer was mixed down. The PBL primarily stayed shallow under constant westerlies; however, it was slightly increased when winds were strong, as indicated in C4 (Figure 7d). In this case, CO and PM2.5 concentrations increased with O3 and H2O2 increases. As a result of the KORUS-AQ campaign, the elevated CO/CO2 ratio was suggested to be an indicator of Chinese influences (Tang et al., 2018). It is mainly attributed to the CO enhancement, which is evident in the transport regimes of C3 and C4.

Given that all these enhanced O3 events at night occurred during the high O3 episodes, the likely cause is the vertical mixing of air enriched with photochemical byproducts in the residual layer. In previous studies, the nighttime O3 increase has been explained by nocturnal residual layer entrainment (Aneja et al., 2000; Jackson and Hewitt, 1996; Lee et al., 2008b). Therefore, the results of this study demonstrated that, in addition to synoptic circulation, the daily boundary layer evolution was responsible for the O3 and PM2.5 short-term variations as well as primary pollutants such as CO. The enhanced nighttime O3 level was not as high as the episodes during the day; however, it was greater than 60 ppbv and could thus contribute to the 8-h NAAQS violations. It is also noteworthy that the nighttime increase was accompanied by an increase in H2O2; thereby suggesting that it is a useful tracer for residual layer entrainment.

3.4. Characteristics of O3 precursors

3.4.1. Nitrogen oxide

In general, O3 is titrated by NOx under a high NOx environment; this is a major process of O3 loss in urban areas. Thus, Ox (NO2+O3) represents the actual O3 level and is a better indicator for understanding O3 chemistry (Lei et al., 2007; Lin et al., 2008). As shown in Figure 4, the Ox level was comparable in all four cases. For O3, the daytime levels were in a similar range, but the nighttime levels were clearly different from episode to episode, leading to a large difference in the O3/Ox ratio at night caused by a difference in NOx, which were highest in C1 and lowest in C4. The difference of nighttime O3/Ox ratios in the C1 and C4 demonstrates that the NOx-titration effect is significant even during the high O3 episodes in Seoul. It is also noteworthy that the nighttime O3 concentration remained as high as 40–50 ppbv under the low NOx condition in C4, which is comparable to the mode concentration of O3 (59 ppbv) observed from shipboard measurements in the Yellow Sea during the KORUS-AQ (Seo et al., 2019).

Like NOx, the NOy mixing ratio was two times higher in C1 (52.5 ppbv) than in C4 (24.8 ppbv). In contrast, NOz, calculated as [NOy] – [NOx], was the highest in C4, in which NOz accounted for approximately 40% of the NOy. It is well known that the NOz/NOy ratio provides information about the photochemical aging of air masses (Marion et al., 2001; Perros and Marion, 1999; Wood et al., 2009). The NOz/NOy ratio was higher in C3 and C4 than in C1 and C2, as expected from the meteorological regime of the air mass. NOz is discussed further in Section 3.5.2 to evaluate O3 production efficiency.

3.4.2. Volatile organic compounds

The reactions of NO with HO2 and RO2 radicals produced from VOC oxidation are the major pathway for radical cycling that leads to O3 formation. In general, VOC reactivity varies over a wide range and individual VOC species make different contributions to O3 formation in the atmosphere (Atkinson et al., 2000). The TVOC mixing ratios were higher during the high O3 episodes (203.0 ppbC) than during the non-episodes (154.7 ppbC). Among the four episodes, TVOCs were the highest in C1, followed by C3, and the lowest in C4 (Figure 8a). Toluene was the most abundant VOC compound, accounting for nearly 15% of the TVOCs, followed by acetone and n-butane. It was the highest in C1 among the four episodes.

Figure 8 

(a) Abundance of the four VOC sub-classes and individual VOC species and (b) their relative OH reactivity with that of NO2 and CO during the four high O3 episodes. For this analysis, the missing C2–C5 alkane measurements during June 8–12 were estimated from a linear regression between alkanes and aromatics (R2 = 0.65) and are presented separately with a red dashed line. DOI: https://doi.org/10.1525/elementa.444.f8

To compare the contribution of each VOC species to O3 formation, their OH reactivity was calculated (Atkinson et al., 2003) including NO2 and CO (Figure 8b). Although alkanes were abundant in Seoul, they were less reactive than the aromatics such as xylene and toluene or OVOCs such as acetaldehyde and HCHO. These aromatic VOCs were found to significantly influence O3 production during the KORUS-AQ (Schroeder, 2020). Despite their low mixing ratios, 1,3,5-trimethylbenzene and styrene exhibited a considerably high contribution to OH reactivity.

The OH reactivity of CO and NO2 comprised approximately half of the total reactivity for all episodes. Interestingly, the CO contribution increased with the decrease in NO2 reactivity from the C1 to C4 episodes. CO has not been regarded as a major O3 precursor in urban chemistry due to its low reactivity and long lifetime (cf., Jacobson, 2002; Sze, 1977); however, its contribution was reported to be significant in previous studies (Di Carlo et al., 2004; Jeffries, 1995; Vukovich, 2011) and increased under a transport regime in this study. Since the results of this study are based entirely on measurements, the CO contribution to the total OH reactivity may be overestimated due to missing OH reactivity or VOC measurement uncertainty. Basically, the increased contribution of OH reactivity was due to the elevated CO under transport regime in the C3 and C4 episodes, during which the average OH reactivity of CO was 3.1 and 2.8 s–1, respectively, compared to the average OH reactivity of CO was 2.1 s–1 for the entire period. This analysis shows that the photochemical properties vary depending on weather conditions, which may have implications for policy making.

As the most abundant carbonyl compounds in an urban area, formaldehyde and acetaldehyde significantly contributed to OH reactivity (15%) during the high O3 episodes. These compounds are mainly produced by secondary formations from the breakdown of VOCs or directly emitted from a variety of sources (Luecken et al., 2012; Ling et al., 2017). In previous studies, their importance to O3 formation was demonstrated in many regions, including the SMA (Shao et al., 2009; Kim et al., 2015).

3.5. O3 formation diagnosis

3.5.1. Ozone formation sensitivity

O3 formation sensitivity to NOx or VOCs is driven by odd-hydrogen chemistry, which can be diagnosed by photochemical indicator species such as H2O2, HNO3, HCHO, and NOz (Milford et al., 1994; Sillman, 1995; Sillman et al., 1997). In models, NOx- and VOC-sensitive regimes were associated with the high and low values of H2O2/HNO3, O3/NOz, and O3/NOy ratios. In the present study, the evidence for O3 formation sensitivity was obtained from NOy, NOz, HCHO, and H2O2 measurements.

The split values of various indicators (Sillman, 1995; Sillman et al., 1997) and the percentage of measurements that fit into these criteria are summarized in Table 2. For the NOy indicator, 63% of the measurements fell into the VOC-sensitive regime. When the H2O2/NOy ratio was applied, 96% of all the measurements fell into the VOC-sensitive regime. All the other indicator species ratios tested in this study, including O3/NOy, H2O2/NOz, and HCHO/NOy, consistently indicated that O3 formation is more sensitive to the VOC than the NOx in Seoul (Table 2). This result demonstrates that VOCs play a more critical role than NOx in O3 production, thereby suggesting VOC control for O3 abatement.

Table 2

Percentage of measurements that meet the criteria of each indicator for VOC- and NOx-sensitive regimes. DOI: https://doi.org/10.1525/elementa.444.t2

Indicators VOC-sensitive NOx-sensitive

NOy 63% (> 20 ppbv) 11% (< 10 ppbv)
O3/NOy 85% (< 6) 9% (> 7.5)
H2O2/NOy 96% (< 0.15) 0% (> 0.3)
H2O2/NOz 75% (< 0.2) 9% (> 0.35)
HCHO/NOy 69% (< 0.2) 4% (> 0.4)

Before this approach was developed, the relative ratio of VOCs to NOx was utilized as a diagnostics tool to evaluate the O3 production regime (United States Environmental Protection Agency, 1989). The TVOCs-to-NOx ratios greater than 15 and less than 4 are often considered as NOx- and VOC-sensitive regimes, respectively (NRC, 1991). Thus, this method was applied to this study, and the daily averaged VOC and NOx mixing ratios were obtained as shown in Figure 9a. Consistent with the results presented earlier, the O3 formation was found to be VOC-limited and 13 of the 14 high O3 days fell into the line of TVOCs: NOx between 4 and 8. In comparison, a few non-episode days were found in the transition regime. The indicator species ratio and the relative ratio of TVOCs to NOx consistently indicated that O3 formation is NOx-saturated and VOC-limited in Seoul, and therefore VOCs need to be reduced to decrease the O3 concentration. It is also noteworthy that although the TVOCs/NOx ratios are similar for high O3 episodes, the individual NOx and VOC mixing ratios were spread in a wide range and are not distinguished from those of non-episode days, except for C1. In this regard, the detailed chemical mechanisms tightly linked with meteorological conditions of the high O3 episodes should be thoroughly understood when establishing an O3 abatement policy.

Figure 9 

(a) Daily averaged TVOCs and NOx concentrations and (b) correlation of NOz with Ox between 12:00 and 16:00, signifying OPE during the four high O3 episodes. In (a), the line denotes the TVOCs/NOx ratio of 15, 8, and 4. The estimated TVOCs (see Figure 8) are presented as open squares for June 8–12. DOI: https://doi.org/10.1525/elementa.444.f9

3.5.2. Ozone production efficiency

In addition to the sensitivity regime, ozone production efficiency (OPE) is another key factor in determining O3 mixing ratio in the NOx-saturated regime (Kleinman et al., 2002a; Zaveri, 2003). OPE can be practically determined from a linear regression of O3 or Ox against NOz (Kleinman et al. 2002b; Trainer et al., 1993). In previous studies, OPE has been found to be as high as 10 in low NOx conditions (Li et al., 1997; Trainer et al., 1993). In urban conditions, low OPEs were found as follows: 8 in Houston during the DISCOVER-AQ campaign (Mazzuca et al., 2016), 5.9 in Texas during the TexAQS 2006 field study (Neuman et al., 2009), 5.4 during the TexAQS 2000 (Ryerson et al., 2003), 2.2–4.2 in New York City (Kleinman et al., 2000), and 6 and 5 for urban and power plant plumes in Nashville, respectively (St John et al., 1998).

In this study, OPE was determined as a slope of Ox against NOz between 12:00 and 16:00. For each high O3 episode, it ranged from 3.1 to 6.3 mol/mol (Figure 9b). As expected, it was the highest in C4 (6.3 mol/mol), which was twice as high as the other episodes (~3 mol/mol), suggesting that O3 production was more efficient under the transport regime. In the C4 episode, NOx and VOC levels were significantly lower; however, the NOz levels and the NOz/NOy ratios were considerably higher than in the other episodes (Figure 4). The Ox to NOz ratio also serves as an indicator for O3 formation sensitivity and is higher under NOx-sensitive and lower under VOC-sensitive regimes (Kleinman et al. 2002b; Sillman et al., 1995). This result implies that the NOx titration effect is substantial in Seoul and reducing NOx will increase OPE and thus O3. Currently, high PM2.5 concentrations have become a national issue, and the NOx reduction policy has been implemented to combat PM2.5. In this respect, an integrated understanding of PM2.5 and O3 formation is required when establishing policies to improve urban air quality.

3.6. Effect of NOx and VOC reduction on O3

In the present study, the precursor levels were higher in the high O3 episodes than the non-episodes and the O3 formation was controlled by VOCs during high O3 episodes. In this study, the FOAM modeling was utilized to examine how O3 level changed as precursor levels were reduced to non-episode levels. Evaluating the NOx and VOC reduction effect on O3 production is crucial for implementing O3 policies. First, the O3 mixing ratio was simulated for episodes C1, C2, and C3 with the average diurnal profiles of NOx and VOCs. In this simulation, C4 was not considered because the NOx and VOC levels were lower than during the non-episodes. Next, O3 was calculated with the three reduced scenarios of NOx, VOCs, and combined NOx and VOC. Then, the peak O3 level of each run was compared (Table 3). The detailed photochemical model information used for this calculation can be found in Gil et al., 2020. Considering the abundance and OH reactivity, ten VOC species were chosen for simulation including acetaldehyde, acetone, BTX, and isoprene. These species account for nearly two-thirds of the total OH reactivity of the 56 VOC species.

Table 3

Average concentration of O3, PM2.5, NOx, and TVOCs during the four high O3 episodes, as well as the non-episode periods, and the rate of change in O3 maximum concentration with a reduction in NOx, VOCs, and combination of both. DOI: https://doi.org/10.1525/elementa.444.t3

Species (unit) Stagnation (C1) Blocking (C2) Transport-North (C3) Transport-South (C4) Non-episodes

May 18–23 June 2, 5, 7, 9, and 10 May 17, 29, and 30 May 25

O3 (ppbv) 38 39 44 59 39
PM2.5 (µg m–3) 30 29 39 53 27
NOx (ppbv) 48 33 36 16 25
TVOCs (ppbC) 246 162 232 108 155
NOx control1 +12% +9% +10% N/A
VOCs control2 –35% –13% –26% N/A
NOx and VOCs control3 –25% –4% –17% N/A

1 NOx, 2 VOCs, and 3 NOx and VOC concentrations were reduced to that of the non-episode.

For the C1 episode, NOx and VOC levels were reduced by 49% and 45%, respectively, compared to the base run. For C2 and C3, the NOx and VOC reductions were 24% and 16%, and 31% and 34%, respectively. As expected from the O3 formation sensitivity, O3 increased with a reduction in NOx but decreased with a reduction in VOCs in all three episodes. While the increased O3 was not related to the NOx reduction, the O3 decrease was proportional to the VOC reduction. When reducing both NOx and VOCs, the decrease in O3 was less than the VOC-only reduction. This model simulation highlights that the chemical regime creating high O3 mixing ratio was highly saturated with NOx and the daily maximum O3 was reduced by 0.57% per 1% reduction in VOCs regardless of the NOx level and VOC composition.

4. Conclusion

As a part of the KORUS-AQ campaign, comprehensive measurements were conducted at several ground sites in South Korea. At Olympic Park in Seoul, reactive gases including O3, NOx, NOy, CO, and SO2, and VOCs, photochemical byproducts such as HCHO and H2O2, PM2.5 composition, and meteorological parameters such as PBL height were continuously measured from May 10 to June 12, 2016. In this experiment, the maximum hourly O3 (127 ppbv) and PM2.5 (88 µg m–3) occurred on June 10 and May 31, respectively. The average NOx and TVOC were 30.0 and 39.3 ppbv, respectively. As the most dominant VOCs, the toluene mixing ratio reached 16.0 ppbv with an average of 3.9 ppbv.

During the experiment, the O3 level violated the 8-h standard of 60 ppbv for 26 days and the 1-h standard of 100 ppbv for 6 days. For an in-depth analysis of this study, the high O3 episode was defined as occurring when the daily O3 maximum exceeded 90 ppbv (96th percentile). The 14 days of high O3 episodes occurred under distinct weather conditions that were separated into stagnant, transport, and blocking periods. The transport regime was further divided into two periods involving different air masses from the southwest (transport-south) and northwest (transport-north). As the experiment was conducted before the summer monsoon started, the synoptic meteorology played a significant role in determining the air quality. For example, PM2.5 and O3 were imported in aged plumes transported over the Yellow Sea under the constant westerlies and the local influences were more significant as westerlies were weakened. When the extreme stagnation developed under a persistent anticyclone, the evolution of boundary layer played an important role.

Under a persistent high pressure, NOx and VOC were greatly elevated, particularly at night by the emissions of the SMA. During mornings when the UV level was high under a clear sky, the VOC oxidation resulted from a clear morning peak in HCHO. In the afternoon, all precursor levels decreased below those of the non-episode days due to deep mixing. During stagnant periods, O3 occasionally increased in the evening and at night, which was associated with mesoscale circulation and was evident in the vertical wind profile.

Similarly, the air was stagnated under blocking condition. In this condition, the precursor levels were lower than in the stagnant episode and the levels and variations of photochemical byproducts highlight that the air was photochemically more aged with higher HCHO and NOz levels during the day. Accordingly, the highest O3 concentration was observed in this episode.

When the air mass was transported across the Yellow Sea, O3 was concurrently enhanced with PM2.5. This episode is characterized by high CO and SO2 levels, but low NOx and VOC concentrations. As a result, O3/Ox and NOz/NOy ratios were high, implying that the air was photochemically aged. At night, O3 concentrations remained in the range of 40–50 ppbv with an O3/Ox ratio as high as 0.8, indicating the O3 titration by NOx is substantial and played a critical role in determining the O3 level in Seoul. In addition, the OH reactivity of CO was increased with a decrease in NO2. CO was highly enhanced with O3 under the northerly wind at the end of May.

For the high O3 episodes, the O3 formation was diagnosed as VOC-sensitive from the photochemical indicator species ratios such as H2O2, HCHO, and NOz, and from the TVOC and NOx levels. In addition, the ozone production efficiency evaluated from the ΔOx/ΔNOz of the linear regression between Ox and NOz was higher in the transport regime than in the other episodes, which was further demonstrated from the model simulation. Because the precursor levels were higher during the high O3 episodes than during the non-episodes, the diurnal variation of O3 was simulated for the three episodes (C1–C3) with the NOx and VOC levels of the non-episode. Under the NOx-saturated condition, the NOx reduction increased the O3 concentration. In contrast, the daily maximum O3 was reduced proportionally with the VOC reduction rate; therefore, reducing NOx would exacerbate air quality in terms of O3. In the SMA, air quality improvement should be attained, based on a comprehensive understanding of the O3 and PM2.5 formation.

Data Accessibility Statement

Surface data during the KORUS-AQ in South Korea were obtained from the NASA data archive at https://www-air.larc.nasa.gov/cgi-bin/ArcView/korusaq. The cloud coverage and UV data were obtained from the Korea Meteorological Administration website (http://www.data.kma.go.kr).

Acknowledgements

Authors would like to thank to all participants in KORUS-AQ and MAPS-Seoul.

Funding information

This study was supported by the National Institute of Environmental Research and Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Science, Information, and Communications Technology & Future Planning (NRF- 2020R1A2C3014592 & 2018R1A2B6005090).

Competing interests

The authors have no competing interests to declare.

Author contributions

  • Contributed to conception and design: ML, GL
  • Contributed to acquisition of data: HK, JG, JJ, AW, JS, GL, DSK, JYA, SC, JH, MSP
  • Contributed to analysis and interpretation of data: HK, JG, ML, GL
  • Drafted and/or revised the article: HK, ML, GL
  • Approved the submitted version for publication: ML, JYA, SC

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