PM2.5 Concentrations and Chemical Compositions in Jeonju from 2017 to 2018

Jo, Gwanggon; 김동우,; Song, Mijung

doi:10.5572/kosae.2018.34.6.876

Cited by 8 publications

(3 citation statements)

References 33 publications

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“…The highest proportions of crustal elements, such as Al and Si, were found during the spring; this result is likely to be due to the influence of dry atmospheric conditions and yellow dust originating from deserts or plateaus [ 26 ]. The highest proportions of components known to have anthropogenic origins, such as Ni, Zn, and Pb, were found in the fall and winter, consistent with the finding of Jo et al [ 31 ].…”

Section: Resultssupporting

confidence: 90%

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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Section: Resultssupporting

confidence: 90%

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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“…The NO3 − in the PM2.5 was significantly enhanced in winter time. Previous studies also reported that PM2.5 concentrations were elevated, particularly in winter, with a remarkable increase in the NO3 − concentrations at the measurement site during winter [63][64][65][66]. In particular, in January, high concentrations of PM2.5 were observed, with a monthly average of 38.1 ± 20.3 μg/m 3 (Table S1), and an average NO3 − concentration of 11.8 μg/m 3 (Figure S5).…”

Section: Contribution Of Nh 3 To Pm 25 Pollutionsupporting

confidence: 56%

Contributions of Ammonia to High Concentrations of PM2.5 in an Urban Area

Park

Kim

et al. 2021

Atmosphere

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Atmospheric ammonia (NH3) plays a critical role in PM2.5 pollution. Data on atmospheric NH3 are scanty; thus, the role of NH3 in the formation of ammonium ions (NH4+) in various environments is understudied. Herein, we measured concentrations of NH3, PM2.5, and its water-soluble SO42−, NO3−, and NH4+ ions (SNA) at an urban site in Jeonju, South Korea from May 2019 to April 2020. During the measurement period, the average concentrations of NH3 and PM2.5 were 10.5 ± 4.8 ppb and 24.0 ± 12.8 μg/m3, respectively, and SNA amounted to 4.3 ± 3.1, 4.4 ± 4.9, and 1.6 ± 1.8 μg/m3, respectively. A three-dimensional photochemical model analysis revealed that a major portion of NH3, more than 88%, originated from Korea. The enhancement of the ammonium-to-total ratio of NH3, NHX (NHR = [NH4+]/[NH4+] + [NH3]) was observed up to ~0.61 during the increase of PM2.5 concentration (PM2.5 ≥ 25 μg/m3) under low temperature and high relative humidity conditions, particularly in winter. The PM2.5 and SNA concentrations increased exponentially as NHR increased, indicating that NH3 contributed significantly to SNA formation by gas-to-particle conversion. Our study provided experimental evidence that atmospheric NH3 in the urban area significantly contributed to SNA formation through gas-to-particle conversion during PM2.5 pollution episodes.

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“…Recently, there have been many studies to characterize chemical species of PM 2.5 nationwide in Korea such as a study of chemical characteristics of PM 2.5 in Seoul in 2019 (Um et al, 2020), a study of the origins and distributions of atmospheric ammonia in Jeonju during 2019-2020 (Park et al, 2020), a study on the characteristics of PM 2.5 chemical compositions and high-concentration episodes from 2013 to 2016 in Jeju (Kim et al, 2020), a study on PM 2.5 and its chemical compositions from 2017 to 2018 in Jeonju ( Jo et al, 2018), estimation of emission source contribution of OC and EC in the spring of 2016 in Seoul (Ham et al, 2017), and a study on the distribution of heavy metals during 2013 and 2014 in Gyeonggido (Kim et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Identification of Fine Dust in Schools through Comprehensive Chemical Characterization

Kwoun¹,

Kang²,

Lee³

et al. 2022

Asian J. Atmos. Environ

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The objective of this study was to analyze the temporal and spatial characteristics of fine particulate matters by using huge hourly datasets of PM 2.5 , including chemical information monitored at the 6 national intensive monitoring sites (NIMSs) from 2013 to 2018 in Korea. Hourly PM 2.5 raw datasets were obtained from the National Institute of Environmental Research (NIER) in Korea. Monitoring sites included urban, rural/agricultural, industrial, and marine environments. Since the PM 2.5 concentration steadily decreased nationwide, each species concentration also decreased in general. One of key reasons for decreasing PM 2.5 might be explained by the implementation of domestic fine dust reduction policies and external influences such as PM 2.5 concentration reduction in China. It was observed that 45.0% of all datasets for 6 years were classified as good condition. The average sum of 14 elements over all sites in 2018 was calculated to be 501.5 ng/m 3 , and its mass ratio for PM 2.5 (21.9 μg/m 3 ) was 2.30%. The inorganic elements were generally higher in industrial/urban areas than in agricultural areas. In addition, the average TC (total carbon) over all 6 sites was 28.3% of PM 2.5 with the range of 23.6% to 31.4%. The TC in small urban areas was much higher than that in marine areas or even that in large, populated urban area/industrial areas. It seemed that the latter areas were better controlled than the former area in terms of combustion activities of fossil fuels. It is suggested that these results could be play an important role as important basic data to manage ambient air quality and establish effective emission reduction strategies in each region.

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PM2.5 Concentrations and Chemical Compositions in Jeonju from 2017 to 2018

Cited by 8 publications

References 33 publications

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

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

Contributions of Ammonia to High Concentrations of PM2.5 in an Urban Area

Identification of Fine Dust in Schools through Comprehensive Chemical Characterization

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