• 한국대기환경학회지
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• 제31권2호
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• pp.143-156
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• 2015

본 연구에서는 문헌조사를 중점으로 1984년부터 2013년까지의 TSP, $PM_{10}$, $PM_{2.5}$와 $PM_{2.5}$의 이온성분 그리고 원소상탄소의 농도변화 추이에 대해 살펴보았다. TSP와 $PM_{10}$은 비슷한 추이를 보이고 있으며 1998년부터 2003년까지를 제외하고는 지속적으로 감소하고 있다. $PM_{2.5}$는 정부 자료와 학술대회나 학술지에서 파악한 자료의 질량농도는 다르지만 두 자료 모두 지속적으로 감소하고 있다. 2010년 이후에는 2015년부터 적용될 연평균 기준농도보다 낮은 값을 보이고 있다. 그러나 2013년에는 다시 증가했고 안정적으로 기준을 만족시키지 못하기 때문에 $PM_{2.5}$에 대한 보다 적절한 대책이 필요할 것으로 보인다. $PM_{2.5}$의 이온성분의 경우 $NH{_4}^+$와 $NO{_3}^-$의 농도는 증가하고 $SO{_4}^{2-}$농도는 감소하는 경향을 보이고 있다. $SO{_4}^{2-}$ 농도의 감소는 중국에서의 장거리 이동 영향과 정책의 적용이 원인으로 보인다. 또한 이온성분들 간의 반응도 이온성분의 농도에 영향을 미친 것으로 보인다. $NO{_3}^-$의 경우 $SO{_4}^{2-}$와는 다르게 $NO_x$의 농도는 감소하고 있지만 저감 대책에 따른 $NO_2$의 뚜렷한 농도변화를 보이지 않고 $NO{_3}^-$의 농도가 증가하고 있기 때문에 적절한 대책이 필요할 것으로 보인다. $PM_{2.5}$의 원소상 탄소의 추이를 통해 1차 오염과 2차 오염의 영향을 볼 수 있다. OC는 2000년대 초반까지는 감소하였으나 2000년대 후반에는 뚜렷한 경향이 없으며, EC는 감소하는 추이를 보이고 있다. OC와 EC의 추이뿐만 아니라 두 성분의 비를 통해 1차 오염보다는 2차 오염에 의한 영향이 크다는 것을 파악할 수 있다. 본 연구에서는 문헌조사를 통해 1986년부터 2013년까지 장기간의 $PM_{2.5}$와 그 화학성분들의 연평균 농도 추이를 파악하였다. $PM_{2.5}$와 그 성분의 농도 변화 추이를 통해 대기오염원의 기여도에 대해 파악할 수 있다. 따라서 $PM_{2.5}$와 그 화학조성은 대기질 개선을 위한 대책 수립에 중요한 기초자료가 된다. 이 연구가 정확성을 갖기 위해서는 더 많은 연평균 농도파악을 통해 구체적인 추이를 살펴볼 필요가 있다. 지속적인 측정과 분석이 필요하며 이를 통해 적절한 대책을 수립할 수 있을 것이다.

• 환경위생공학
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• 제2권3호
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• pp.39-47
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• 1987

Breast milk samples collected from 8 areas of 59 lactating women were analysed by atomic absorption spectrophotometry for copper, zinc and manganese concentrations. The results were as follows; 1. The mean levels of Cu, Zn and Mn in the total samples were $342.6\pm138.9{\mu}g/l$ of Cu, $2.01\pm1.44mg/l$ of Zn and $8.67\pm5.12{\mu}g/l$ of Mn. 2. The mean Cu levels by lactation periods were $504.5\pm166.2{\mu}g/l$ in 1-4 weeks, $345.0\pm100.0{\mu}g/l$ in 5-12 weeks, $276.4\pm84.8{\mu}g/l$ in 13-36 weeks and indicated decreasing concentrations by the post-partus period progressed. (p<0.01) 3. The mean Zn levels were $3.50\pm2.10mg/1$ in 1-4 weeks, $2.08\pm0.79mg/1$ in 5-12 weeks, $1.38\pm0.91mg/l$ and showed the decline trend by the lactation periods. (p< 0.01) 4. The mean levels of Mn were $8.964\pm3.313{\mu}g/l$ in 1-4 weeks, $7.971\pm6.066{\mu}g/l$ in 5-12 weeks, $8.357\pm4.966{\mu}g/$ in 13-36 weeks and didn't indicate significant decreasing concentrations by the lactation periods.

• 한국대기환경학회지
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• 제32권1호
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• pp.32-45
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• 2016

The anthropogenic aerosols originated from the pollutant emissions in the eastern part of China and dust emitted in northwestern China in Yellow sand regions are subsequently transported via eastward wind to the Korean peninsula and then these aerosols induce high $PM_{10}$ concentrations in Korean peninsula. In order to estimate air quality considering anthropogenic and dust emissions, Comprehensive Air-quality Model with extension (CAMx) was applied to simulate $PM_{10}$ concentration. The predicted $PM_{10}$ concentrations without/with dust emissions were compared with observations at ambient air quality monitoring sites in China and Korea for 2008. The predicted $PM_{10}$ concentrations with dust emissions could depict the variation of measured $PM_{10}$ especially during Yellow sand events in Korea. The comparisons also showed that predicted $PM_{10}$ concentrations without dust emissions were under-predicted while predictions of $PM_{10}$ concentrations with dust emission were in good agreement with observations. This implied that dust emissions from desert and barren soil in southern Mongolia and northern China minimized the discrepancies in the $PM_{10}$ predictions in East Asia. The effect of dust emission on annual $PM_{10}$ concentrations in Korea Peninsula for year 2008 was $5{\sim}10{\mu}g/m^3$, which were about 20% of observed annual $PM_{10}$ concentrations.

• 한국산업보건학회지
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• 제25권3호
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• pp.380-391
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• 2015

Objectives: The objective of this study is to assess airborne particulate matter pollution and its effect on health of residents living near Ansim Briquette Fuel Complex and its vicinities. Also, this study measured and analyzed the concentration of TSP, $PM_{10}$, $PM_{2.5}$, and heavy metals which influences on the environmental and respiratory disease in Ansim Briquette Fuel Complex, Daegu, Korea. Methods: In this study, we analyzed various environmental pollutants such as particulate matter and heavy metals from Ansim Briquette Fuel Complex that adversely affected local residents's health. In particular, we verified the concentration distribution and characteristics of exposure for TSP, $PM_{10}$, and $PM_{2.5}$ among particulate matters, and heavy metals(Cd, Cr, Cu, Mn, Ni, Pb, Fe, Zn, and Mg). In that regard, the official test method on air pollution in Korea for analysis of particulate matter and heavy metal in atmosphere were conducted. The large capacity air sampling method by the official test method on air pollution in Korea were applied for sampling of heavy metals in atmosphere. In addition, we evaluated the concentration of seasonal environmental pollutants for each point of residence in Ansim Briquette Fuel Complex and surrounding area. The sampling measured periods for air pollutants were from August 11, 2013 to February 21, 2014. Furthermore, we measured and analyzed the seasonal concentrations(summer, autumn and winter). Results: The average concentration for TSP, $PM_{10}$, and $PM_{2.5}$ by direct influence area at Ansim Briquette Fuel Complex were 1.7, 1.4 and 1.9 times higher than reference region. In analysis results of seasonal concentrations for particulate matter in four direct influence and reference area, concentration levels for winter were generally somewhat higher than concentrations for summer and autumn. The average concentrations for Cd, Cr, Mn, Ni, Pb, Fe, and Zn in direct influence area at Ansim Briquette Fuel Complex were $0.0008{\pm}0.0004{\mu}g/Sm^3$, $0.0141{\pm}0.0163{\mu}g/Sm^3$, $0.0248{\pm}0.0059{\mu}g/Sm^3$, $0.0026{\pm}0.0011{\mu}g/Sm^3$, $0.0272{\pm}0.0084{\mu}g/Sm^3$, $0.4855{\pm}0.1862{\mu}g/Sm^3$, and $0.3068{\pm}0.0631{\mu}g/Sm^3$, respectively. In particularly, the average concentrations for Cd, Cr, Mn, Ni, Pb, Fe, and Zn in direct influence area at Ansim Briquette Fuel Complex were 1.9, 3.6, 2.1, 1.9, 1.4, 2.6, and 1.2 times higher than reference area, respectively. The continuous monitoring and management were required for some heavy metals such as Cr and Ni. Moreover, the average concentration in winter for particulate matter in direct influence area at Ansim Briquette Fuel Complex were generally higher than concentrations in summer and autumn. Also, average concentrations for TSP, $PM_{10}$, and $PM_{2.5}$ were from 1.5 to 2.0 times, 1.2 to 1.8 times, and 1.1 to 2.3 times higher than reference area, respectively. In results for seasonal atmospheric environment, TSP, $PM_{10}$, $PM_{2.5}$, and heavy metal concentrations in direct influence area were higher than reference area. Especially, the concentrations in C station were a high level in comparison with other area. Conclusions: In the results, some particulate matters and heavy metals were relatively high concentration, in order to understand the environmental pollution level and health effect in surrounding area at Ansim Briquette Fuel Complex. The concentration of some heavy metals emitted from direct influence area at Ansim Briquette Fuel Complex were relatively higher than reference area. In particular, average concentration for heavy metals in this study were higher than average concentrations in air quality monitoring station for heavy metal for 7 years in Deagu metropolitan region. Especially, the residents near Ansim Briquette Fuel Complex may be exposed to the pollutants(TSP, $PM_{10}$, $PM_{2.5}$, and heavy metals, etc) emitted from the factories in Ansim Briquette Fuel Complex.

• 한국환경과학회지
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• 제26권1호
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• pp.55-65
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• 2017

Average concentration of PM in Seoul metropolitan area satisfied the Korean air quality standard in 2010. Furthermore, concentration of PM in all boroughs across Seoul met the air environment standard in 2012. $PM_{10}$ concentration was relatively higher in center of Seoul in comparison to the rest, while $PM_{2.5}$ concentration showed exactly the contrary result. We analyzed the effect that PM emissions from vehicles would have on PM concentrations across Seoul. The results showed that average annual PM concentration recently decreased in Seoul although the number of vehicles registered annually continued its upward trend. By contrast, average fine dust concentrations in Seoul showed a decline which suggested that correlation between annual average PM concentrations and number of registered vehicles remained low. However, year-on-year vehicle registration rate recently showed a declining tendency in the same way as the trend of changes in average PM concentrations. Particularly, the upward trend in annual average PM concentrations in 2002 and 2007 was consistent with the increase in vehicle registration rate, suggesting that vehicle registration rate was closely associated with changes in PM concentrations.

• 대한환경공학회지
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• 제22권6호
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• pp.1159-1170
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• 2000

여러 가지 대기오염물질을 규제대상으로 지정하여 대기중으로 방출되는 대기오염물질에 대한 적절한 처리와 방지를 통하여 대기질을 개선하는 작업이 필요하다. 특히 도시지역의 경우 이들 오염물질 중 시정의 악화, 인체보건학상 급 만성 장애를 초래하며, 재산상의 피해를 주는 분진 에 대해 최근 관심이 모아지고 있다. 이러한 분진의 농도 중가에 따른 피해를 저감시키기 위해서 는, 먼지의 농도 특성 자료에 근거한 적절한 통제전략을 수립할 필요가 있다. 이러한 배경에서 본 연구는 부산지역의 도시분진 오염도에 대한 적절한 관리를 위해 부산지역의 대기중 $PM_{2.5}$의 질량농도 및 수용성 음이온성분($Cl^-$, $NO_3{^-}$, $SO_4{^{2-}}$)의 농도 특성을 $PM_{10}$의 경우와 대비하여 비교 평가하였다. 시료채취기간은 1999년 5월부터 1999년 11월까지이며, 각 38회의 $PM_{2.5}$ 및 $PM_{10}$의 시료를 채취하여, 그 질량농도와 수용성 음이온성분 ($Cl^-$, $NO_3{^-}$, $SO_4{^{2-}}$) 의 농도 특성을 분석하였다. $PM_{2.5}$의 전체기간동안 평균농도는 $35.016{\mu}g/m^3$으로 산정되었으며, $PM_{10}$ 평균농도 ($50.293{\mu}g/m^3$)에 대한 $PM_{2.5}$의 질량농도비 평균은 0.692로 산정되었다. $PM_{2.5}$ 중 수용성 음이온성분의 전체평균농도는 각각 $1.581(Cl^-)$, $3.690(NO_3{^-})$ 그리고 $12.825(SO_4{^{2-}}){\mu}g/m^3$으로 나타났으며, $PM_{10}$은 각각 $2.471(Cl^-)$, $5.819(NO_3{^-})$ 그리고 $14.414(SO_4{^{2-}}){\mu}g/m^3$으로 나타났다. 각 성분들간의 상관분석을 시행한 결과, $PM_{2.5}$와 $PM_{10}$ 질량농도의 상관성은 0.945로 상당히 높은 상관관계를 나타내었다. $PM_{2.5}$ 질량농도와 각 성분들간에는 $Cl^-$(0.025), $NO_3{^-}$(0.788), 그리고 $PM_{10}$ 질량농도와는 $Cl^-$(-0.019), $NO_3{^-}$(0.806), 그리고 $SO_4{^{2-}}$)(0.535)의 상관성을 나타내었다.

• 한국환경보건학회지
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• 제38권1호
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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.

• Environmental Analysis Health and Toxicology
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• 제29권
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• pp.5.1-5.7
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• 2014

Objectives Numerous studies have revealed the adverse health effects of acute and chronic exposure to particulate matter less than $10{\mu}m$ in aerodynamic diameter ($PM_{10}$). The aim of the present study was to examine the spatial distribution of $PM_{10}$ concentrations and cardiovascular mortality and to investigate the spatial correlation between $PM_{10}$ and cardiovascular mortality using spatial scan statistic (SaTScan) and a regression model. Methods From 2008 to 2010, the spatial distribution of $PM_{10}$ in the Seoul metropolitan area was examined via kriging. In addition, a group of cardiovascular mortality cases was analyzed using SaTScan-based cluster exploration. Geographically weighted regression (GWR) was applied to investigate the correlation between $PM_{10}$ concentrations and cardiovascular mortality. Results An examination of the regional distribution of the cardiovascular mortality was higher in provincial districts (gu) belonging to Incheon and the northern part of Gyeonggi-do than in other regions. In a comparison of $PM_{10}$ concentrations and mortality cluster (MC) regions, all those belonging to MC 1 and MC 2 were found to belong to particulate matter (PM) 1 and PM 2 with high concentrations of air pollutants. In addition, the GWR showed that $PM_{10}$ has a statistically significant relation to cardiovascular mortality. Conclusions To investigate the relation between air pollution and health impact, spatial analyses can be utilized based on kriging, cluster exploration, and GWR for a more systematic and quantitative analysis. It has been proven that cardiovascular mortality is spatially related to the concentration of $PM_{10}$.

• 한국환경보건학회지
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• 제45권2호
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• pp.186-191
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• 2019

Objectives: Subway is one of the most common transportation modes in Seoul, Korea. The objectives of this study were to determine characteristics of in-cabin $PM_{2.5}$ concentration in Seoul Metro Line Number 2 and to identify factors of the $PM_{2.5}$ concentration. Methods: In-cabin $PM_{2.5}$ concentrations in Seoul Metro Line Number 2 were measured using real-time monitors and the factors affecting $PM_{2.5}$ concentration in cabin were observed. Linear regression analysis of in-cabin $PM_{2.5}$ concentration and indoor/outdoor (I/O) ratio were performed. Results: In-cabin $PM_{2.5}$ concentration was associated with the in-cabin $PM_{2.5}$ concentration in previous station. In-cabin $PM_{2.5}$ concentration was correlated with ambient $PM_{2.5}$ concentration and associated with underground station with control of the in-cabin $PM_{2.5}$ concentration in previous station. I/O ratio increased as the number of passengers increased and when passing through the underground station with control of I/O ratio in previous station. Conclusion: In-cabin $PM_{2.5}$ concentration was affected by ambient $PM_{2.5}$ concentration. Therefore, management of in-cabin $PM_{2.5}$ concentrations should be based on outdoor air quality.

• Asian Journal of Atmospheric Environment
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• 제10권1호
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• pp.32-41
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• 2016

Particle-phase concentrations were measured at 10, 80, and 200 m from the roadside of a national highway near Seoul in January and May 2008. The highway has two lanes each way, with an average hourly traffic volume of 1,070 vehicles. In January 2008, $PM_{10}$ concentrations decreased from 10 to 80 m but increased at 200 m. Black carbon (BC) decreased only slightly with distance due to the influence of biomass burning and open burning from the surrounding areas. In May 2008, the effect of secondary formation on both $PM_{10}$ and $PM_{2.5}$ was significant due to high temperatures compared with January. Because on-road emissions had little effect on secondary formation for a short time, variations in $PM_{10}$ concentrations became smaller, and $PM_{2.5}$ concentrations increased with distance. The effects of fugitive dust on PM concentrations were greater in May than in January when the mean temperature was below freezing. In the composition variations, the amounts of primary ions, organic carbon (OC), and BC were larger in January, while those of secondary ions and others were larger in $PM_{10}$, as well as $PM_{2.5}$ in May.