A Study on Characteristics of High PM2.5 Pollution Observed around Large-scale Stationary Sources in Chungcheongnam-do Province

Son, Se-Chang; Park, Seungshik; Bae, Minah; Kim, Soontae

doi:10.5572/kosae.2020.36.5.669

Cited by 14 publications

(3 citation statements)

References 9 publications

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“…The average concentration of this source was 0.57 µg/m 3 (5.6%) (Table 5). The seasonal contribution was not significantly affected by season changes (Figure 8) [39]. The seventh factor showed a high contribution by As, and it was classified as a coal combustion source.…”

Section: Results Of the Regional Contributions By Acerwtmentioning

confidence: 95%

Modification of Hybrid Receptor Model for Atmospheric Fine Particles (PM2.5) in 2020 Daejeon, Korea, Using an ACERWT Model

Han,

Joo,

Kim

et al. 2024

Atmosphere

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Hybrid receptor models overestimate the contribution of background areas (no specific emission sources), like the Yellow Sea in Korea. This study aimed to improve model performances using Advanced Concentration Emission and Retention Time Weighted Trajectory (ACERWT). ACERWT was combined with a positive matrix factorization (PMF), back trajectory, and Regional Emission Inventory in Asia (REAS). The PMF receptor model used one year of data from Korea’s Central Air Environment Research Center. In the PMF receptor model, eight sources (dust/soil, secondary nitrate, biomass burning, vehicles, secondary sulfate, industry, coal combustion and sea salt) influenced PM2.5 pollution at the receptor site (Daejeon, Korea). Secondary sulfate was the most dominant source, followed by secondary nitrate and vehicle sources. ACERWT results showed high contributions from China, Japan, and Korean regions, while the contribution from the Yellow Sea was significantly lower. Several regions, such as the eastern and south-eastern areas of China, the southern area of Taiwan, the western area of Tokyo, and the central area of Korea, showed high contributions due to large-scale emission facilities and industrial complexes. In this study, the ACERWT model significantly improved its performance regarding regional contributions to PM2.5 pollution at the receptor site.

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Section: Results Of the Regional Contributions By Acerwtmentioning

confidence: 95%

Modification of Hybrid Receptor Model for Atmospheric Fine Particles (PM2.5) in 2020 Daejeon, Korea, Using an ACERWT Model

Han,

Joo,

Kim

et al. 2024

Atmosphere

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show abstract

“…Furthermore, owing to the geographical advantage of Dangjin, which is connected to inland steel mills, industrial complexes, power plants, and roads, sources of pollution are concentrated in this limited area. Additionally, as suggested by Son et al (2020) and Kim et al (2020), these results may be due to the presence of the Charyeong Mountains, which may prevent the dispersion and dilution of pollutants into downwind areas with the prevailing westerly or northwesterly winds and, instead, causes the pollutants to be localized to the area [ 33 , 34 ].…”

Section: Discussionmentioning

confidence: 99%

“…Particularly, As is a major metabolite of bituminous coal combustion, and As, Cu, and Fe have also been reported to be released from iron smelting furnaces [ 35 ]. Hence, the high concentration might be influenced by the presence of the Dangjin thermal power plant [ 32 , 33 ].…”

Section: Discussionmentioning

confidence: 99%

A Comparison of Health Risks from PM2.5 and Heavy Metal Exposure in Industrial Complexes in Dangjin and Yeosu·Gwangyang

Jeon,

Jung,

Park

et al. 2024

Toxics

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Particulate matter (PM) can cause illness, including respiratory diseases, and PM2.5 compositions are likely to vary according to the emission profiles of industrial complexes. This study analyzed and compared the concentrations and distributions of PM2.5 and heavy metals in two regions of Republic of Korea: Yeosu·Gwangyang, which houses a massive national industrial complex, and Dangjin, which houses power plants. Further, we conducted a health risk assessment on the residents of the areas near these industrial complexes. Measurements were taken at five different points in each setting over a two-year period from August 2020 to August 2022. We found differences in PM2.5 concentrations and heavy metal composition ratios across the sites. Specifically, PM2.5 concentrations exceeded the standard of 1 at all measurement sites, while the specific heavy metals exceeding the standard varied across the sites. Ultimately, we observed regional differences in PM2.5 composition across measurement sites across and within the two regions and variations in health risks and according health effects due to the absence of PM2.5 toxicity values, and compared the health risks of two industrial complexes with different characteristics. These findings underscore the importance of considering not only PM2.5 but also its composition in exposure and health risk assessments.

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Chemical characteristics of PM2.5 during spring and fall at two sites in Chungcheongnam-do, South Korea; insight into Fe solubility and SO42− formation

Park

Son

Lee

2022

Atmospheric Pollution Research

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A Study on Characteristics of High PM2.5 Pollution Observed around Large-scale Stationary Sources in Chungcheongnam-do Province

Cited by 14 publications

References 9 publications

Modification of Hybrid Receptor Model for Atmospheric Fine Particles (PM2.5) in 2020 Daejeon, Korea, Using an ACERWT Model

Modification of Hybrid Receptor Model for Atmospheric Fine Particles (PM2.5) in 2020 Daejeon, Korea, Using an ACERWT Model

A Comparison of Health Risks from PM2.5 and Heavy Metal Exposure in Industrial Complexes in Dangjin and Yeosu·Gwangyang

Chemical characteristics of PM2.5 during spring and fall at two sites in Chungcheongnam-do, South Korea; insight into Fe solubility and SO42− formation

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