Analysis of air pollution in two major Korean cities: trends, seasonal variations, daily 1-hour maximum versus other hour-based concentrations, and standard exceedances

Jo, Wan-Kuen; Yoon, I. H.; Nam, Chan-Woo

doi:10.1016/s0269-7491(99)00284-5

Cited by 20 publications

(5 citation statements)

References 5 publications

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“…Another readily observable trend is that concentrations in major cities are systematically higher than those of the provinces. This observation supports previous finding that gradual increases in NO 2 emissions have coincided with increased urbanization and industrialization in urban areas (Jo et al 2000).…”

Section: Annual Patternssupporting

confidence: 92%

Changes in NO2 Concentration from Major Cities and Provinces in Korea: A Case Study from 1998 to 2003

Nguyen¹,

Kim²

2006

Terr. Atmos. Ocean. Sci.

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In this paper, the spatio-temporal distribution characteristics of nitrogen dioxide (NO 2) were investigated using data obtained routinely from air quality monitoring stations located in seven major cities and nine provinces in Korea for the period 1998 to 2003. The results indicate that annual trends in NO 2 concentrations generally reflect changes in environmental conditions, while exhibiting cyclic and systematic patterns across seasons. Its wintertime concentrations were most prominent, with concentrations decreasing gradually across spring, fall, and summer. If concentration patterns are examined among different cities and/or provinces, the highest mean values were found from the Capital city, Seoul (34.7 ppb) and the surrounding province, Gyunggi (30.2 ppb). In contrast, remarkably reduced NO 2 concentrations were seen in such regions as the remote island, Jeju and Jeonnam province with mean values of 17.5 and 16.5 ppb, respectively. The overall results of our study indicate that there are strong geographical gradients in NO 2 distributions to exhibit strongly polluted patterns consistently in densely populated urban areas (e.g., major city), compared to large rural areas (e.g., province).

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Section: Annual Patternssupporting

confidence: 92%

Changes in NO2 Concentration from Major Cities and Provinces in Korea: A Case Study from 1998 to 2003

Nguyen¹,

Kim²

2006

Terr. Atmos. Ocean. Sci.

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“…To help place the KORUS-AQ observations into context, it is useful to first examine the distribution of surface ozone observed by the AirKorea network of air quality monitoring sites. KORUS-AQ was conducted during the climatological peak of O 3 season in South Korea that occurs during the pre-monsoon period in late spring/early summer, typically during May and June (Ghim and Chang, 2000;Jo et al, 2000;Kim et al, 2006). Therefore, the timing of the field deployment is germane to exploring spatiotemporal tendencies in O 3 and conducting policyrelevant analysis of the key drivers of O 3 formation.…”

Section: Distribution Of Surface O 3 In the Sma During Korus-aqmentioning

confidence: 99%

Observation-based modeling of ozone chemistry in the Seoul metropolitan area during the Korea-United States Air Quality Study (KORUS-AQ)

et al. 2020

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The Seoul Metropolitan Area (SMA) has a population of 24 million and frequently experiences unhealthy levels of ozone (O 3). In this work, measurements taken during the Korea-United States Air Quality Study (KORUS-AQ, 2016) are used to explore regional gradients in O 3 and its chemical precursors, and an observationally-constrained 0-D photochemical box model is used to quantify key aspects of O 3 production including its sensitivity to precursor gases. Box model performance was evaluated by comparing modeled concentrations of select secondary species to airborne measurements. These comparisons indicate that the steady state assumption used in 0-D box models cannot describe select intermediate species, highlighting the importance of having a broad suite of trace gases as model constraints. When fully constrained, aggregated statistics of modeled O 3 production rates agreed with observed changes in O 3 , indicating that the box model was able to represent the majority of O 3 chemistry. Comparison of airborne observations between urban Seoul and a downwind receptor site reveal a positive gradient in O 3 coinciding with a negative gradient in NO x , no gradient in CH 2 O, and a slight positive gradient in modeled rates of O 3 production. Together, these observations indicate a radical-limited (VOClimited) O 3 production environment in the SMA. Zero-out simulations identified C 7+ aromatics as the dominant VOC contributors to O 3 production, with isoprene and anthropogenic alkenes making smaller but appreciable contributions. Simulations of model sensitivity to decreases in NO x produced results that were not spatially uniform, with large increases in O 3 production predicted for urban Seoul and decreases in O 3 production predicted for far-outlying areas. The policy implications of this work are clear: Effective O 3 mitigation strategies in the SMA must focus on reducing local emissions of C 7+ aromatics, while reductions in NO x emissions may increase O 3 in some areas but generally decrease the regional extent of O 3 exposure.

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“…Of particular concern is urban aerosol pollution, which has been the subject of many studies. Typical results of industrialization and urbanization have indicated many problems arising from urban aerosols [17,[29][30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%

Studying Air Pollutants Origin and Associated Meteorological Parameters over Seoul from 2000 to 2009

Park

Sabbah

Kwak

et al. 2015

Advances in Meteorology

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We investigate the temporal characteristics of major air pollutants collected from 44 air quality stations over the city of Seoul, Korea, namely, nitrogen dioxide, carbon monoxide, particular matter at 10 microns, and sulfur dioxide (SO2) between 2000 and 2009. The corresponding satellite datasets, namely, aerosol optical depth (AODsat), Ångström exponent, and fine mode fraction, collected from moderate resolution imaging spectroradiometer (MODIS) as well as the Aeronet ground aerosol optical depth (AODaeronet), have been analyzed. Pollutants’ seasonal effect has been inferred from the precipitation and temperature. The four pollutants under study show varying temporal characteristics with different annual mean concentration patterns. The monthly mean of mentioned pollutants all show similar low concentrations during the summer season and high concentrations during the winter season. We found that pollution is strongly linked to temperature and precipitation variability, especially during the fall season. Satellite data analysis provides information on the pollutants origin whether of natural or anthropogenic type. Our results indicate that the anthropogenic aerosol is dominant in the summer season even though the concentration was lower than the other seasons. AODaeronetand Ångström exponent indicated high positive and negative correlation coefficients with PM10, 0.60, and −0.45, respectively. Both small and large sizes of aerosols existed in 2007; however coarse size of aerosols was the primary component in 2002.

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Analysis of air pollution in two major Korean cities: trends, seasonal variations, daily 1-hour maximum versus other hour-based concentrations, and standard exceedances

Cited by 20 publications

References 5 publications

Changes in NO2 Concentration from Major Cities and Provinces in Korea: A Case Study from 1998 to 2003

Changes in NO2 Concentration from Major Cities and Provinces in Korea: A Case Study from 1998 to 2003

Observation-based modeling of ozone chemistry in the Seoul metropolitan area during the Korea-United States Air Quality Study (KORUS-AQ)

Studying Air Pollutants Origin and Associated Meteorological Parameters over Seoul from 2000 to 2009

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