• 한국대기환경학회지
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• 제20권1호
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• pp.17-31
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• 2004

The subway play an important part in serious traffic problems. However, because subway system is a closed environment, many serious air pollution problems occurred in subway stations and injured passenger's health. Therefor, it is a necessary to identify sources and to estimate pollutant sources in order to protect passenger's health and to keep clean subway environment. The purpose of this study was to analyze a air quality in the subway stations and to apply a new receptor methodology for quantitatively estimate of PM10 sources. In this study, the size distributions of particulate matters has been measured by using Aerosizer LD (U.S.A., API, Inc.). It's real time measurement capability of time-of-flight technique offers a significant advantage of user convenience and air pollution management. Also, the mass concentrations of PM 10 has been measured by using mini-vol portable sampler (U.S.A., Airmetrics Co.). The sampling performed in Seoul subway stations during the period of February 2000 and April 2000. The number distribution data used in this study consisted of 26 raw data sets in the Jongno-sam-ga station. Correlation Analysis can be used in subway stations for source separation and identification. Then, number contribution from each source is determined by the particle number balance (PNB). The mass concentration data used in this study consisted of 31 raw data in the 8 different stations. The mass contributions of PM10 sources in the concourse by using PMF/CMB model.

• Journal of Nutrition and Health
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• 제43권6호
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• pp.628-637
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• 2010

To determine vitamin A and E intakes and their food sources, dietary intakes were collected by three consecutive 24-hour recalls from 192 adults living in Seoul and Gyeonggi Province, Korea. The mean vitamin A, retinol and ${\beta}$-carotene intakes were $1240.1{\pm}1101.1\;{\mu}g$ retinol equivalent/day ($693.3{\pm}563.2\;{\mu}g$ retinol activity equivalent/day), $182.6{\pm}149.5\;{\mu}g$/day and $5443.3{\pm}6365.5\;{\mu}g$/day, respectively. Only 9.4% of the subjects consumed less than the Korean Estimated Average Requirement for vitamin A. The mean vitamin E intake was $6.03{\pm}2.54\;mg$ ${\alpha}$-tocopherol equivalent/day. The ${\alpha}$-tocopherol and ${\gamma}$-tocopherol intakes were $4.83{\pm}2.03$ and $5.57{\pm}3.41\;mg$/day, respectively. Most of the subjects (93.8%) consumed less than the Korean Adequate Intake for vitamin E. The major food sources of vitamin A were sweet potato, carrot, red pepper powder, spinach, and citrus fruit, and the top 30 foods provided 91.5% of total Plant foods provided 81.0% and animalderived foods 10.5% of the vitamin A intake from the top 30 foods. The major food sources of vitamin E were soybean oil, red pepper powder, Ramyeon (cup noodles), spinach, and egg. The top 30 foods provided 78.0% of total vitamin E intake. Plant foods provided 61.3% and animal-derived foods 15.9% of the vitamin E intake from the top 30 foods. In conclusion, the vitamin A intake of the Korean adults in this study was ge-nerally adequate, but the vitamin E intake of many subjects was inadequate. Therefore, nutritional education may be of benefit to Korean adults to increase their vitamin E intake.

• 한국대기환경학회지
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• 제16권1호
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• pp.11-22
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• 2000

Polycyclic aromatic hydrocarbons(PAHs) have known as potentially hazardous air pollutants(HAPs0 to human health because of its carcinogenic and mutagenic behaviors. The purpose of this study was to determine the level of 6 PAHs(Fluoranthene, Pyrene, Benzo[a]anthracene, Chrysene, Benzo[b]fluoranthene, and Benzo[a]pyrene) as well as 10 inorganic elements(Cr, Na, K, Zn, Pb, Fe, Cu, Ti, Al and Cd) in the ambient PM-10. The total of 115 samples had been collected from February, 1996 to June, 1996 on quartz fiber by a PM-10 high volume air sampler near the Yong-Tong Apartment complexes. A statistical analysis was performed for the PAHs and inorganic elements data set using a principal component analysis in order to identify qualitatively the potential sources of PM-10. A total of 6 principal components were separated by intensive data pretrement and transformation processes, such as soil, refuse incineration, oil burning, coal burning, field burning, vehicle emission sources. The results showed that PAHs were associated with various burning activities like refuse and field burning, coal burning, and oil burning emissions in the study area. These derived sources were well matched with the previously known source profiles in terms of compositonal order and level of measured species. The combination data set consisted of both organic and inorganic species might provide more powerful source signature and might increase the number of potentially derived sources than PAHs or inorganic data alone.

• 한국대기환경학회지
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• 제32권3호
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• pp.329-341
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• 2016

Pohang is a well-known industrial city in Korea with a large steel-industrial complexes. The biggest environmental issue in the city is associated with fine particulate matter (hereinafter, $PM_{10}$). The concentration of $PM_{10}$ is generally dependent on the local emission sources and meteorological conditions. Iron and steel industrial complexes are likely serious pollution sources of $PM_{10}$ in Pohang. In this study, daily $PM_{10}$ data from a large database from the year of 2000 to 2012 were statistically analyzed, together with meteorological data. The average concentrations of $PM_{10}$ were evaluated according to the frequency of Asian dust, haze, mist, and fog. The number of days exceeding short-term standard for $PM_{10}$ were also examined, taking into consideration of weather conditions. It was found that the concentration of $PM_{10}$ was reduced about 18% to 26% because of precipitation. In addition, the effects of wind direction and wind speed on the $PM_{10}$ concentrations were investigated.

• 한국대기환경학회지
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• 제26권3호
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• pp.276-285
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• 2010

Recently the Korean government has tried to cut down the $PM_{10}$ concentration by the Special Law for Air Quality Improvement. But the concentrations of $PM_{10}$ have exceeded the air quality standard at most monitoring stations. Primary $PM_{10}$ emitted from various sources and emission data have large uncertainty. The biomass burning is one of the major sources of $PM_{10}$ emission. The biomass burning is composed of wood stove usage, meat cooking and agricultural combustion etc.. Activity data and emission factors for the biomass burning are limited, and it is hard to calculate the air pollution emissions from these sources. In this study, we tried to estimate the air pollution emission from residential wood stove usage. The number of total wood stoves is estimated by the survey of wood stove manufacturer. And air pollution emission factors for the wood stove are investigated using the flue gas measurement by U.S. EPA particulate test method (Method 5G). As the results, the $PM_{10}$ and CO emission factors of wood stove are estimated as 7.7 g/kg-wood and 78.8 g/kg-wood respectively. The annual $PM_{10}$ and CO emissions from wood stove are calculated as 1,200~3,600 ton/year and 12,600~36,400 ton/year in Korea. It is confirmed that wood stove is the one of major sources of biomass burning, and the survey for activity data and the measurement for emission factors are needed for reducing the uncertainty of these emission data.

• 한국대기환경학회지
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• 제18권5호
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• pp.363-372
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• 2002

PM$_{10}$ aerosols were collected using low volume air sampler every month intervals from September 1992 to August 1991 in Seoul. These samples were analyzed for 20 trace elements (Al, As, Ba, Br, Ca, Cl, Co, Cr, Fe, K, Mn, Na, Ni, Pb, Sc, Se, Si, Ti, V and Zn) by INAA (instrumental neutron activation analysis), XRF (x-ray fuorescence spectrometer), and ICP (inductively coupled plasma). PM$_{10}$ mass concentrations higher than 70 $\mu$g/m$^3$ were 32% of 60 samples and had significantly higher concentrations in spring and winter than in summer and fall (p-value<0.001). The elements of As, Br, Cl, Ni, Pb, Se, V, and Zn are enriched by factors of 20 to 2,000 relative to their natural abundance in crustal soil. To further identify common sources of pollution-related trace elements, factor analysis was applied to the trace elements concentration data. Major sources that contribute to the atmospheric loading of these elements were found to include fossil fuel combustion, automobile and waste incineration (33.2%), metal processing industry (18.2%), and soil(29.8%).8%).

• 한국환경과학회지
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• 제25권10호
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• pp.1349-1368
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• 2016

Concentrations of fine particulate matter ($PM_{2.5}$) and several of its particle constituents measured outside homes in Houston, Texas, and Los Angeles, California, were characterized using multiple regression analysis with proximity to point and mobile sources and meteorological factors as the independent variables. $PM_{2.5}$ mass and the concentrations of organic carbon (OC), elemental carbon (EC), benzo-[a]-pyrene (BaP), perylene (Per), benzo-[g,h,i]-perylene (BghiP), and coronene (Cor) were examined. Negative associations of wind speed with concentrations demonstrated the effect of dilution by high wind speed. Atmospheric stability increase was associated with concentration increase. Petrochemical source proximity was included in the EC model in Houston. Area source proximity was not selected for any of the $PM_{2.5}$ constituents' regression models. When the median values of the meteorological factors were used and the proximity to sources varied, the air concentrations calculated using the models for the eleven $PM_{2.5}$ constituents outside the homes closest to influential highways were 1.5-15.8 fold higher than those outside homes furthest from the highway emission sources. When the median distance to the sources was used in the models, the concentrations of the $PM_{2.5}$ constituents varied 2 to 82 fold, as the meteorological conditions varied over the observed range. We found different relationships between the two urban areas, illustrating the unique nature of urban sources and suggesting that localized sources need to be evaluated carefully to understand their potential contributions to $PM_{2.5}$ mass and its particle constituents concentrations near residences, which influence baseline indoor air concentrations and personal exposures. The results of this study could assist in the appropriate design of monitoring networks for community-level sampling and help improve the accuracy of exposure models linking emission sources with estimated pollutant concentrations at the residential level.

• 한국대기환경학회지
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• 제24권6호
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• pp.662-673
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• 2008

Two hybrid receptor models, potential source contribution function (PSCF) and concentration weighted tracjectory (CWT), were compared for locating $PM_{2.5}$ sources contributing to the atmospheric $PM_{2.5}$ concentrations in Seoul. The source contribution estimates by chemical receptor model (CMB) receptor model were used to identify better source areas, Among the sources, soil, agricultural burning, marine aerosol, coal-fired power plant and Chinese aerosol were only considered for the study because these sources were more likely to be associated with the long-range transport of air pollutant. Both methods are based on combining chemical data with calculated air parcel backward trajectories. However, the PSCF analyses were performed with trajectories above the $75^{th}$ percentile criterion values, while the CWT analyses used all trajectories. This difference resulted in locating of different sources, which might be helpful to interpret locating of $PM_{2.5}$ sources, High possible source areas in source contribution of soil and agricultural burning contributing to the Seoul $PM_{2.5}$ were inland areas of Heibei and Shandong provinces (highest density areas of agricultural production and population) in China. The "Chinese aerosol" was used as a representative source for the $PM_{2.5}$ originated from urban area in China. High possible source areas for the aerosol were the cities in China where are relatively close to the receptor. This result suggests that Chinese aerosol is likely to be a useful tool in studies on source apportionment and identification in Korea.

• Asian Journal of Atmospheric Environment
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• 제4권1호
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• pp.9-19
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• 2010

The size distribution of airborne particulate matter (PM) and the concentrations of associated metallic elements were investigated in a busy urban region of a typical Korean industrial city. The PM concentrations measured during the spring, except for those in the size range of 1.1 to 2.1 ${\mu}m$, were slightly higher than the PM concentrations in the summer. Coarse particles contributed greatly to the variation in PM concentrations in the spring, while fine and submicron particles contributed largely to the variation in PM concentrations in the summer. The difference in size modes of the PM concentrations between spring and summer may be explained by the Asian dust effect and its accompanying wind direction and speed. Extremely high enrichment factors (EFs) values (6,971 to 60,966) for all of the size distributions in PM were identified for cadmium (Cd). High EFs values (12 to 907) were also identified for other heavy metals including Cr, Cu, Ni, Pb, Zn and Mn. Low EF values (0.29 to 8.61) were identified for Ca, K, Mg and Na. These results support the common hypothesis that most heavy metals in ambient PM have anthropogenic sources and most light metals have crustal sources. The results of principal components analyses and cluster analyses for heavy metals indicate that the principal sources of PM and metals were emissions from non-ferrous metal smelters, oil combustion, incinerators, vehicular traffic and road dust.

• 한국환경보건학회지
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• 제30권2호
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• pp.123-132
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• 2004

The purpose of this study was to characterize background mass concentration of PM$_{10}$ and metallic composition from September 2001 to August 2002 in comparison with Asan and Seoul. Annual mean of PM$_{10}$ concentrations in Asan and Seoul were 47.98 and 75.33$\mu\textrm{g}$/㎥, respectively. The concentrations of PM$_{10}$ were highest in spring season in both cities. The concentrations of measured metals except for As and Pb in Asan were higher than those in Seoul. Yellow dust could affect the mass and metals concentrations of measured PM$_{10}$ in Asan and Seoul. Relationship between measured metals concentrations showed that Si and Fe were associated with natural sources such as soil. Pb, Cu and Zn were closely related to urban anthropogenic sources such as fuel combustion. Especially, relationship between metals showed different association during yellow dust. Proper management for PM$_{10}$ will need in Asan, considered the concentrations of metallic elements in PM$_{10}$ in Asan were relatively higher than those in Seoul.se in Seoul.