• Journal of Environmental Health Sciences
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• v.46 no.5
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• pp.532-538
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• 2020

Objectives: The study evaluated correlations among monthly PM_2.5, PM₁₀, Cd, Pb concentrations and the number of Asian dust days. Methods: Based on data from 'The annual report on air quality in Korea from 1999 to 2017', concentrations of PM₁₀, PM_2.5, Cd, Pb, and the number of Asian dust days were recalculated to mean, standard deviation, minimum, and maximum. Correlation coefficients were calculated among PM_2.5, PM₁₀, Cd, Pb, and Asian dust days. Results: Asian dust days were correlated only with PM₁₀ among the four factors of PM₁₀, PM_2.5, Cd, and Pb. The four factors of PM₁₀, PM_2.5, Cd, and Pb were very significantly correlated with each other (p<0.01). Their correlation coefficients for PM₁₀ were 0.800 for PM_2.5, 0.823 for Cd, and 0.892 for Pb. PM_2.5 was also correlated strongly with Cd (0.845) and Pb (0.830). Cd had a correlation with Pb of 0.971. The maximums of PM_2.5, PM₁₀, and Pb were shown to exceed the atmospheric environmental standard of Korea, which necessitates national continuous exposure control. Based on exposure data, Asian dust days were thought to be an exposure factor for Cd and Pb. Conclusion: Asian dust might be a factor in Cd and Pb exposure. National exposure controls are required for exposure to PM_2.5, PM₁₀, Cd, and Pb.

• Journal of Environmental Health Sciences
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• v.40 no.5
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• pp.346-354
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• 2014

Objectives: Although a number of epidemiologic studies have examined the association between air pollution and mortality, data limitations have resulted in fewer studies of particulate matter with an aerodynamic diameter of ${\leq}2.5{\mu}m$ ($PM_{2.5}$). We conducted a time-series study of the acute effects of particulate matter with an aerodynamic diameter of ${\leq}10{\mu}m$($PM_{10}$) and $PM_{2.5}$ on the increased risk of death for all causes and cardiovascular mortality in Seoul, Korea from 2006 to 2010. Methods: We applied the generalized additive model (GAM) with penalized splines, adjusting for time, day of week, holiday, temperature, and relative humidity in order to investigate the association between risk of mortality and particulate matter. Results: We found that $PM_{10}$ and $PM_{2.5}$ were associated with an increased risk of mortality for all causes and of cardiovascular mortality in Seoul. A $10{\mu}g/m^3$ increase in the concentration of $PM_{10}$ corresponded to 0.44% (95% Confidence Interval [CI]: 0.25-0.63%), and 0.95% (95% CI: 0.16-1.73%) increase of all causes and of cardiovascular mortality. A $10{\mu}g/m^3$ increase in the concentration of $PM_{2.5}$ corresponded to 0.76% (95% CI: 0.40-1.12%), and 1.63% (95% CI: 0.89-2.37%) increase of all causes and cardiovascular mortality. Conclusion: We conclude that $PM_{10}$ and $PM_{2.5}$ have an adverse effect on population health and that this strengthens the rationale for further limiting levels of $PM_{10}$ and $PM_{2.5}$ in Seoul.

• Environmental Analysis Health and Toxicology
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• v.22 no.2 s.57
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• pp.185-188
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• 2007

PM10 and PM2.5 in ambient air were collected in Seongbuk-gu area of Seoul for one year, from April 2005 to February 2006, and the concentration of PM-bound mercury was monitored. The annual concentrations of particles were $66.4{\pm}43.2{\mu}g/m^3\;(47.6{\pm}19.1{\mu}g/m^3-106.1{\pm}78.0{\mu}g/m^3)$ in PM10 and $37.2{\pm}20.4{\mu}g/m^3\;(28.0{\pm}23.4{\mu}g/m^3{\sim}42.7{\pm}21.4{\mu}g/m^3)$ in PM2.5, which is about 56% of PM10 concentration. The annual average concentrations of mercury were $0.125{\pm}0.078ng/m^3\;in\;PM10\;and\;0.141{\pm}0.080ng/m^3$ in PM2.5, respectively. In April of Asian dust season in Korea, mercury showed the highest concentration in both PM10 and PM2.5.

• Journal of Korean Society for Atmospheric Environment
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• v.19 no.2
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• pp.231-245
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• 2003

Hourly PM$_{10}$ concentrations measured at 11 sites in Seoul and 10 sites in the large cities over South Korea for the period from March 1995 to February 2000 are analyzed to examine annual trend and monthly variations of the PM$_{10}$ concentrations. Further analysis has been carried out by using the one year data from March 1999 to February 2000 to see the seasonal variation, diurnal variation and weekly variation of the seasonally averaged PM$_{10}$ concentrations at each site. Weekly variations of the CO concentrations at the same sites for the same one year period are compared with that of the PM$_{10}$ concentration. There is no significant annual trend in the variation of the PM$_{10}$ concentration at all the sites analyzed. The seasonal and monthly mean concentrations show a minimum concentration in summer and alternative maximum concentration in spring and winter for most sites. The diurnal variation of the seasonally averaged mean PM$_{10}$ concentrations is strongly affected by traffic loads and meteorological conditions. The weekly variation of seasonal averaged concentrations of CO and PM$_{10}$ shows a high concentration for weekdays in spring, autumn and winter while high concentration for weekends in summer.nds in summer.

• Tuberculosis and Respiratory Diseases
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• v.49 no.5
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• pp.568-575
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• 2000

Background : Cytokines are chemical mediators that control and modulate many inflammatory processes. They work in different fashions in a variety of diseases. Discriminating between malignant effusion, tuberculous effusion, and parapneumonic effusion are crucial from the clinical view-point in Korea. In the current study, interferon-gamma (IFN-${\gamma}$), soluble interleukin-2 receptor (IL-2R), interleukin-6 (IL-6) and interleukin-10 (IL-10) were measured for this purpose. Methods : Pleural fluids from patients with malignant disease, tuberculosis, parapneumonic effusion and lung empysema were collected and gauged using commercial ELISA kits. Results : 34 patients were enrolled in this study. Among these 15 cases were malignant effusions, 12 were tuberculosis pleurisy and 7 were parapneumonic effusion and lung empyema. The levels of cytokines measured in this study were as follows, in order of frequency, malignant effusion, tuberculous effusion, parapneumonic effusion and lung empyema. The levels of INF-${\gamma}$ were higher in tuberculous effusion than in malignant or parapneumonic effusion ($295.5{\pm}585.5$ vs. $16.7{\pm}50$ vs. $10.0{\pm}0$ pg/ml, p>0.05). The levels of IL-2R were higher in tuberculous effusion than in malignant or parapneumoruc effusion ($7423.5{\pm}3752.8$ vs. $3247.4{\pm}1713.3$ vs. $3790.2{\pm}3201.1$ pg/ml, p<0.05). No significant differences were found in the levels of IL-6 between the groups ($600{\pm}12.8$ pg/ml in malignant effusion, $556.4{\pm}161.7$ pg/ml in tuberculous effusion, $514.4{\pm}224.8$ pg/ml in parapneumoruc effusion). IL-10 levels were higher in parapneumoruc effusion than in malignant or tuberculous effusions ($98.4{\pm}141.7$ vs. $28.2{\pm}55.5$ vs. $11.3{\pm}11.7$ pg/ml, p<0.05). Conclusion : These results suggest that the measurement of IL-2R levels in pleural fluids may be a useful means of differentiating between tuberculous effusion and pleural effusions of other origins, and that the measurement of IL-10 levels in pleural fluids may be useful to differentiate between parapneumonic effusion and pleural effusions of other origins.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2000.04a
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• pp.143-144
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• 2000

최근 대기중 입자상 물질에 대한 기준이 강화되고 있으며, TSP에서 PM10으로 기준이 강화되는 등 미세입자에 대한 관심이 높아지고 있다 특히, 호흡범주의 입자에 대한 규제를 목적으로 PM2.5에 대한규제가 미국등 몇 개국에서 시행되고 있으며, PM2.5에 대한 각종 연구들이 활발히 진행되고 있다. TSP 나 PM10 에 대한 각각의 연구들은 많이 보고되고 있으나 PM2.5에 대한 연구는 아직 미진하며 PM10 과 PM2.5 의 상호비교를 고찰한 논문도 그리 많지 않다. (중략)

• Communications for Statistical Applications and Methods
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• v.25 no.2
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• pp.199-215
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• 2018

Interest in $PM_{10}$ concentrations have increased greatly in Korea due to recent increases in air pollution levels. Therefore, we consider a forecasting model for next day $PM_{10}$ concentration based on the principal elements of air pollution, weather information and Beijing $PM_{2.5}$. If we can forecast the next day $PM_{10}$ concentration level accurately, we believe that this forecasting can be useful for policy makers and public. This paper is intended to help forecast a daily mean $PM_{10}$, a daily max $PM_{10}$ and four stages of $PM_{10}$ provided by the Ministry of Environment using various data mining techniques. We use seven models to forecast the daily $PM_{10}$, which include five regression models (linear regression, Randomforest, gradient boosting, support vector machine, neural network), and two time series models (ARIMA, ARFIMA). As a result, the linear regression model performs the best in the $PM_{10}$ concentration forecast and the linear regression and Randomforest model performs the best in the $PM_{10}$ class forecast. The results also indicate that the $PM_{10}$ in Seoul is influenced by Beijing $PM_{2.5}$ and air pollution from power stations in the west coast.

• Korean Journal of Microbiology
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• v.34 no.3
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• pp.144-148
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• 1998

Soil microorganisms including bacteria, fungi, and actinomycetes were seasonally isolated at depths (0.5~2, $10{\pm}1$, $50{\pm}1cm$) of field. The frequency of microbial isolates was employed for the determination of microbial population (CFU/g dry soil) and distribution ratio (%) in soil. Both bacteria (24-fold) and actinomycetes (7-fold) exhibited the biggest change at the depth of $50{\pm}1cm$, whereas fungi showed the maximum (13-fold) at $10{\pm}1cm$. On the whole, the bacterial population was high in spring soil, fungi in winter, and actinomycetes in autumn. Soil microorganisms also exhibited the seasonal variation on their distribution ratio (%). The maximum distribution ratio (85.7%) of bacteria was observed at the depth of $50{\pm}1cm$ in spring, whereas bacteria showed the minimum (35.2%) at the depth of $10{\pm}1cm$ in spring. The maximum distribution ratio (23.0%) of fungi was found at the depth of $50{\pm}1cm$ in spring, whereas its minimum (0.5%) at the depth of $10{\pm}1cm$ in spring. Actinomycetes exhibited the maximum distribution ratio (45.2%) at the depth of $10{\pm}1cm$ in spring, whereas its minimum (12.2%) was showed at the depth of $50{\pm}1cm$ in spring.

• Journal of Korean Society for Atmospheric Environment
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• v.32 no.2
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• pp.216-232
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• 2016

In present, the Seoul City is undergoing traffic congestion problems caused by rapid urbanization and population growth. Thus the City government has reorganized the mass transportation system since 2004 and the subway has become a very important means for public transit. Since the subway system is typically a closed environment, the indoor air quality issues have often raised by the public. Especially since a huge amount of PM (particulate matter) is emitted from ground tunnels passing through the subway train, it is now necessary to assess the characteristics and behaviors of fine PM inside the tunnel. In this study, the concentration patterns of $PM_1$, $PM_{2.5}$, and $PM_{10}$ in the Seoul subway line-2 were analyzed by real-time measurement during winter (Jan 13, 2015) and summer (Aug 7, 2015). The line-2 consisting of 51 stations is the most busy circular line in Seoul having the railway of 60.2 km length. The the one-day average $PM_{10}$ concentrations were $148{\mu}g/m^3$ in winter and $66.3{\mu}g/m^3$ in summer and $PM_{2.5}$ concentrations were $118{\mu}g/m^3$ and $58.5{\mu}g/m^3$, respectively. The $PM_{2.5}/PM_{10}$ ratio in the underground tunnel was lower than the outdoor ratio and also the ratio in summer is higher than in winter. Further the study examined structural types of underground subsections to explain the patterns of elevated PM concentrations in the line-2. The subsections showing high PM concentration have longer track, shorter curvature radius, and farther from the outdoor stations. We also estimated the outdoor PM concentrations near each station by a spatial statistical analysis using the $PM_{10}$ data obtained from the 40 Seoul Monitoring Sites, and further we calculated $PM_{2.5}/PM_{10}$ and $PM_1/PM_{10}$ mass ratios near the outdoor subway stations by using our observed outdoor $PM_1$, $PM_{2.5}$, and $PM_{10}$ data. Finally, we could develop pollution maps for outdoor $PM_1$ and $PM_{2.5}$ near the line-2 by using the kriging method in spatial analysis. This methodology may help to utilize existing $PM_{10}$ database when managing and control fine particle problems in Korea.

• Journal of Environmental Health Sciences
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• v.38 no.1
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• pp.51-56
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• 2012

Objectives: High concentrations of airborne particulate matters (PM) can affect the health of passengers using public transportation. The objectives of this research were to develop a PM control system for a railway cabin and to evaluate the performance of the device under conditions of an actual journey. Methods: This study measured the concentrations of $PM_{10}$ and $PM_{2.5}$ simultaneously in a reference cabin and a cabin with the PM control device. Results: The average $PM_{10}$ concentration in the reference cabin was 100 ${\mu}g/m^3$, and the $PM_{10}$ concentration in the cabin with the control device was 79 ${\mu}g/m^3$. While the overall control efficiency of the control device was 15.4%, reduction was more effective for peak $PM_{10}$ concentration. However, $PM_{2.5}$ levels did not differ greatly between the reference cabin and the cabin with the control device. The ratio of $PM_{2.5}$ to $PM_{10}$ was 0.37. $PM_{10}$ concentrations in cabins were not associated with ambient concentrations, indicating that the main sources of $PM_{10}$ were present in cabins. Additionally, average $CO_2$ concentration in the cabins was 1,359 ppm, less than the maximum of 2,000 ppm set out by the Korean Ministry of Environment's guideline. The $CO_2$ concentration in cabins was significantly associated with the number of passengers: the in-cabin concentration = $23.4{\times}N+460.2$, where N is the number of passengers. Conclusions: Application of the PM control device can improve $PM_{10}$ concentration, especially at peak levels but not $PM_{2.5}$ concentration.