Impacts of local vs. trans-boundary emissions from different sectors on PM2.5 exposure in South Korea during the KORUS-AQ campaign

Choi, Jinkyul; Park, Rokjin J.; Lee, Hyung Min; Lee, Seungun; Jo, Duseong S.; Jeong, Jae-In; Henze, D. K.; Woo, Jung‐Hun; Ban, Soo-Jin; Lee, Mindo; Lim, Cheol-Soo; Park, Mi-Kyung; Shin, Hye Jung; Cho, Seogju; Peterson, David A.; Song, Chang‐Keun

doi:10.1016/j.atmosenv.2019.02.008

Cited by 138 publications

(91 citation statements)

References 52 publications

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“…The Chinese contribution to the PM 2.5 concentration for SMA in February 2014 was 40-50% during high PM 2.5 days [32] and reached up to 70% at the Bulgwang supersite in Seoul [32]. The range in the Chinese contribution estimated in this study is similar to the results of the previous studies mentioned earlier [5,6,30]. The Chinese contribution was 70% or higher for the West Sea because of its geographic proximity to China and the primary wind direction in the winter and spring which makes bringing primary and secondary pollutants from China to South Korea favorable [34,35].…”

Section: The Chinese Contribution To the Pm25 Concentrations In The supporting

confidence: 88%

“…The urban air quality monitoring network (AMS) was used to identify the location of the cells on the monitors in this study. Similar to previous studies [5][6][7]26,30], the area-based contributions are presented and discussed in Sections 3.2-3.5. Moreover, we compare the foreign contributions with the two receptor definitions in Section 3.6.…”

Section: Receptor Definitionmentioning

confidence: 71%

“…Considering the horizontal scale of transboundary transport (100 s of km) of air pollutants in Northeast Asia, a coarse horizontal grid resolution (e.g., 25-80 km) may be sufficient to investigate the foreign source apportionment or impact [5][6][7][8]. At the same time, air quality simulation with a fine horizontal grid resolution (e.g., 9-or 3-km) is desirable to examine detailed spatial distributions of local emissions, terrain height, and population so as to better represent the source-receptor relationships [11].…”

Section: The Modeling Domain and Study Periodmentioning

confidence: 99%

“…Previous studies have attempted to quantify the contributions of foreign and domestic sources to PM 2.5 concentrations in Northeast Asian countries [5][6][7]. Itahashi et al [8] reported that contributions from China, South Korea, and Japan to the ambient sulfate concentration over Oki Island were 46-50%, 5-15%, and approximately 1%, respectively, via a chemical transport model.…”

Section: Introductionmentioning

confidence: 99%

“…They also reported that contributions to the annual PM 2.5 concentrations from domestic and foreign sources can vary by 20% or more depending on the meteorological and emission conditions. Choi et al [5] reported that the Chinese contribution to South Korean PM 2.5 concentrations was up to 68% during May and June 2016.While they exhibited one consensus that long-range transport of air pollutants is important to elucidate local air quality over the region, one potential major drawback of these studies is that they employed a single modeling domain with a coarse horizontal grid resolution ranging from 25-80 km while focusing on regional scale air pollution.…”

Section: Introductionmentioning

confidence: 99%

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A Multiscale Tiered Approach to Quantify Contributions: A Case Study of PM2.5 in South Korea During 2010–2017

Bae

Kim

et al. 2020

Atmosphere

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We estimated long-term foreign contributions to the particulate matter of 2.5 μm or less in diameter (PM2.5) concentrations in South Korea with a set of air quality simulations. The Weather Research and Forecasting (WRF)-Sparse Matrix Operator Kernel Emissions (SMOKE)-Community Multiscale Air Quality (CMAQ) modeling system was used to simulate the base and sensitivity case after a 50% reduction of foreign emissions. The effects of horizontal modeling grid resolutions (27- and 9-km) was also investigated. For this study, we chose PM2.5 in South Korea during 2010–2017 for the case study and emissions from China as a representative foreign source. The 9-km simulation results show that the 8-year average contribution of the Chinese emissions in 17 provinces ranged from 40–65%, which is ~4% lower than that from the 27-km simulation for the high-tier government segments (particularly prominent in coastal areas). However, for the same comparison for low-tier government segments (i.e., 250 prefectures), the 9-km simulation presented lowered the foreign contribution by up to 10% compared to that from the 27-km simulation. Based on our study results, we recommend using high-resolution modeling results for regional contribution analyses to develop an air quality action plan as the receptor coverage decreases.

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Section: The Chinese Contribution To the Pm25 Concentrations In The supporting

confidence: 88%

Section: Receptor Definitionmentioning

confidence: 71%

Section: The Modeling Domain and Study Periodmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Multiscale Tiered Approach to Quantify Contributions: A Case Study of PM2.5 in South Korea During 2010–2017

Bae

Kim

et al. 2020

Atmosphere

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The Interannual Variation of Transboundary Contributions from Chinese Emissions of PM2.5 to South Korea

Xiao

Zhang

2021

Adv. Atmos. Sci.

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In recent years, several studies pointed out that anthropogenic emission sources in China which significantly contribute to the PM 2.5 mass burden was an important cause of particulate pollution in South Korea. However, most studies generally focused upon a single pollution event. It is rare to see comprehensive research that captures those features prone to interannual variations concerning the transboundary pollutant contribution in South Korea using a unified method. In this paper, we establish the emission inventories covering East Asia in 2010, 2015, and 2017, and then conduct the source apportionment by applying a coupled regional air quality model called the Integrated Source Apportionment Module (ISAM). Comparison of simulated and observed PM 2.5 mass concentration at 165 CNEMC (China National Environmental Monitoring Center) sites suggests that the PM 2.5 concentrations are well represented by the modeling system. The model is used to quantitatively investigate the contribution from emission sources in China to PM 2.5 concentrations over South Korea and those features found to be prone to interannual variations are then discussed. The results show that the average annual contribution of PM 2.5 has dropped significantly from 28.0% in 2010 to 15.7% in 2017, which strongly suggests that China has achieved remarkable results in the treatment of atmospheric particulates.

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Regional classification of high PM10 concentrations in the Seoul metropolitan and Chungcheongnam-do areas, Republic of Korea

Choi,

Song,

Kim

et al. 2023

Environ Monit Assess

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Since the Seoul metropolitan area is a highly developed megacity, many people are often exposed to high concentrations of particulate matter (PM), with mean aerodynamic diameters equal to or less than 10 μm (PM10), in cold seasons. PM10 concentrations can be influenced by a combination of various factors, including meteorological conditions, anthropogenic emissions, atmospheric chemical reactions, transboundary transport, and geographic characteristics. However, the establishment of an efficient air quality management plan remains challenging due to the limited understanding of the regional PM concentration characteristics. Here, the Seoul metropolitan (Seoul, Gyeonggi-do, and Incheon) and Chungcheongnam-do (Chungcheongnam-do, Daejeon, and Sejong) areas were regionally classified to identify the spatiotemporal air quality in areas where megacities and emission sources are mixed. The four representative regions were determined using the K-means clustering method based on the temporal variations in the observed PM10 concentrations. The first cluster consisted of small cities in the southern and eastern parts of Gyeonggi-do and Chungcheongnam-do, respectively, while the second cluster consisted of Incheon, West Gyeonggi-do, and Seoul. In addition, the third and fourth clusters included West Chungcheongnam-do and East Gyeonggi-do, which are adjacent to the Yellow Sea and downstream area of the westerly wind, respectively. The characteristics of each cluster during the high PM10 concentration events are explainable by wind patterns and the local air pollutant emissions, including nitrogen oxides and sulfur oxides. The obtained regional classification was different from the provincial-level administrative division of South Korea. Therefore, the present study is expected to be a scientific basis for overcoming the limitations of air quality management in administrative districts.

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Impacts of local vs. trans-boundary emissions from different sectors on PM2.5 exposure in South Korea during the KORUS-AQ campaign

Cited by 138 publications

References 52 publications

A Multiscale Tiered Approach to Quantify Contributions: A Case Study of PM2.5 in South Korea During 2010–2017

A Multiscale Tiered Approach to Quantify Contributions: A Case Study of PM2.5 in South Korea During 2010–2017

The Interannual Variation of Transboundary Contributions from Chinese Emissions of PM2.5 to South Korea

Regional classification of high PM10 concentrations in the Seoul metropolitan and Chungcheongnam-do areas, Republic of Korea

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