• Journal of the Korean Society for Marine Environment & Energy
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• v.10 no.1
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• pp.21-28
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• 2007

The bioaccumulation of Pb and Cd dissolved in seawater was assessed measuring the concentrations recorded within blue mussel (Mytilus edulis) and oliver flounder (Paralichthys olivaceus) after two weeks exposure period. The Pb and Cd concentration within the whole body of two testing organisms increased according to the exposure concentrations, and the such tendency was clear specially from the mussel. Maximum metal concentration reached $5,260({\pm}70)\;{\mu}g/g$ for Pb reared under 5.0 mg/L Pb, $1,040({\pm}40)\;{\mu}g/g$ for Cd reared under 1.0 mg/L Cd in the mussel, and indicated that the bioaccumulation of Pb and Cd was directly related to the rearing medium concentrations. Bioconcentration factors (BCF) reached very high values for Pb (maximum value: $12,100{\pm}1,400$) in the mussel reared under lowest Pb concentration (0.01 mg/L). The BCF value for Cd in the mussel were also far higher at exposure to low Cd concentration than high Cd concentration. At higher external concentrations, the BCF for Cd and Pb declined. This demonstrated the ability of two testing organisms to rapidly uptake heavy metals particularly when exposed to low external concentration. The mean Pb concentration was slightly higher in the gill of mussel than in the digestive gland, while Cd showed a higher level in the digestive gland than in the gill.

• Korean Journal of Remote Sensing
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• v.36 no.6_3
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• pp.1653-1667
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• 2020

In this study, we coupled a computation fluid dynamics (CFD) model to the local data assimilation and prediction system (LDAPS), a current operational numerical weather prediction model of the Korea Meteorological Administration. We investigated the characteristics of fine particulate matter (PM2.5) distributions in a building-congested district. To analyze the effects of road emission on the PM2.5 concentrations, we calculated road emissions based on the monthly, daily, and hourly emission factors and the total amount of PM2.5 emissions established from the Clean Air Policy Support System (CAPSS) of the Ministry of Environment. We validated the simulated PM2.5 concentrations against those measured at the PKNU-AQ Sensor stations. In the cases of no road emission, the LDAPS-CFD model underestimated the PM2.5 concentrations measured at the PKNU-AQ Sensor stations. The LDAPS-CFD model improved the PM2.5 concentration predictions by considering road emission. At 07 and 19 LST on 22 June 2020, the southerly wind was dominant at the target area. The PM2.5 distribution at 07 LST were similar to that at 19 LST. The simulated PM2.5 concentrations were significantly affected by the road emissions at the roadside but not significantly at the building roof. In the road-emission case, the PM2.5 concentration was high at the north (wind speeds were weak) and west roads (a long street canyon). The PM2.5 concentration was low in the east road where the building density was relatively low.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2003.05b
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• pp.209-210
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• 2003

최근 동북아시아지역의 급속한 산업발달과 더불어 많은 양의 오염물질을 대기로 배출하고 있다. 특히 중국의 급속한 산업화와 문화수준의 향상 등으로 인해 배출되는 막대한 양의 대기오염물질이 동북아시아지역에서 주기적으로 발생하는 황사와 함께 장거리 이동현상에 의해 우리나라 및 일본 등의 대기 에어로졸 질량 농도 및 화학적 조성에도 많은 변화를 가져올 정도로 직접적인 영향을 끼친다. 그 중에서도 입자 크기가 2.5~10$\mu\textrm{m}$사이에 있는 조대입자(coarse particle)의 광화학적 특성에 많은 변화를 야기시키는 것으로 알려져 있다. (중략)

• Journal of the Korean Society of Food Science and Nutrition
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• v.34 no.9
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• pp.1375-1380
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• 2005

The purpose of this study was to investigate anthropometric values, serum biochemical levels and their correlation in elementary school children. The subjects were 98 boys and girls in the $4{\~}6$ grade and divided into three groups by body size. The mean height of under-weight group (boys: $14.9\pm7.8\;cm$, girls: $144.9\pm9.6\;cm$) was the highest of the groups. The systolic and diastolic blood pressure of all the groups ranged from $111.56\pm13.51\;mmHg/72.86\pm7.26\;mmHg\;to\;117.50\pm10.00\;mmHg/75.31\pm9.51\;mmHg$, all within the normal levels. As subject was fatter, serum concentrations of triglyceride, total cholesterol, LDL-cholesterol insulin and atherogenic index (AI) in the boys, and serum concentrations of triglyceride, insulin and AI in the girls were significantly higher The concentrations of serum glucose, insulin, triglyceride, total cholesterol and LDL- cholesterol were significantly positively correlated with BMI and WHR. No significant correlation was found with blood pressure and serum lipid concentrations. Serum insulin levels was significantly positively correlated with serum glucose and triglyceride concentrations. Thus, this study implicates that obesity in childhood may be relevant to hyperlipidemia, atherosclerosis and diabetes mellitus.

• Journal of the Korean earth science society
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• v.32 no.3
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• pp.249-264
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• 2011

A multi-Gaussian kriging approach extended to space-time domain is presented for uncertainty modeling as well as time-series mapping of environmental variables. Within a multi-Gaussian framework, normal score transformed environmental variables are first decomposed into deterministic trend and stochastic residual components. After local temporal trend models are constructed, the parameters of the models are estimated and interpolated in space. Space-time correlation structures of stationary residual components are quantified using a product-sum space-time variogram model. The ccdf is modeled at all grid locations using this space-time variogram model and space-time kriging. Finally, e-type estimates and conditional variances are computed from the ccdf models for spatial mapping and uncertainty analysis, respectively. The proposed approach is illustrated through a case of time-series Particulate Matter 10 ($PM_{10}$) concentration mapping in Incheon Metropolitan city using monthly $PM_{10}$ concentrations at 13 stations for 3 years. It is shown that the proposed approach would generate reliable time-series $PM_{10}$ concentration maps with less mean bias and better prediction capability, compared to conventional spatial-only ordinary kriging. It is also demonstrated that the conditional variances and the probability exceeding a certain thresholding value would be useful information sources for interpretation.

• The Journal of Bigdata
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• v.6 no.2
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• pp.39-49
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• 2021

Recently, large and diverse weather data are being collected by sensors from various sources. Efforts to predict the concentration of fine dust through machine learning are being made everywhere, and this study intends to compare PM10 and PM2.5 prediction models using data from 840 outdoor air meters installed throughout the city. Information can be provided in real time by predicting the concentration of fine dust after 5 minutes, and can be the basis for model development after 10 minutes, 30 minutes, and 1 hour. Data preprocessing was performed, such as noise removal and missing value replacement, and a derived variable that considers temporal and spatial variables was created. The parameters of the model were selected through the response surface method. XGBoost, Random Forest, and Deep Learning (Multilayer Perceptron) are used as predictive models to check the difference between fine dust concentration and predicted values, and to compare the performance between models.

• Journal of Environmental Policy
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• v.4 no.1
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• pp.1-19
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• 2005

On January 1, 2005, the Special Act on Metropolitan Air Quality Improvement, known as the Blue Sky 21 Program, entered into force. This Special Act is aimed at reducing the annual average concentrations of $PM_{10}$ and $NO_2$ to $40{\mu}g/m^3$ and 22ppb, respectively, from their current levels of $76{\mu}g/m^3$ and 36ppb, within the next 10 years. While the main focus of the Act is to reduce $PM_{10}$ and $NO_2$ emissions, the government also anticipates that these reductions would lessen high ozone occurrences and improve visibility. However, reducing local PM emissions would not decrease $PM_{10}$ concentrations as much as expected since other significant sources, such as continental inflow and/or secondary formation from photochemical reactions, exist. This is corroborated by the fact that $PM_{10}$ in the greater Seoul Metropolitan area during the ozone season is mostly in the form of $PM_{2.5}$, which is secondarily formed on a regional scale. Furthermore, many modeling results indicate so-called '$NO_x$ disbenefits,' referring to the fostering of an increase in ozone concentrations from a decrease in $NO_x$ emissions, over an extensive area. In this paper, the current status of air quality in the Seoul Metropolitan area is reviewed, and several other issues, including the effect of long-range transport, photochemical characteristics, and tasks for successful implementation of the Special Act are discussed.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2019.10a
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• pp.39-39
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• 2019

섬초롱꽃은 울릉군에 한정적으로 분포하는 여러해살이풀이다. 산림청에서는 약관심종(LC) 등급의 희귀식물이자 특산식물로 분류하고 있으며, 꽃의 관상가치가 특히 높아 화단용 소재, 절화용, 화분재배 등으로 흔히 이용되고 있다. 따라서 본 연구는 섬초롱꽃의 대량증식 시, 중금속이 미칠 수 있는 영향에 대해 파악하고자 수행하였다. 실험에 사용한 중금속은 카드뮴(Cd), 철(Fe) 두 종류이며, 두 종류 모두 1% 한천(agar)배지에 10, 25, 50, 100, 200 mg/L 농도로 녹여 사용하였다. 발아율 및 유근 생장을 위해 종자 및 유묘를 치상 후, $25^{\circ}C$ 항온 생장상에서 발아율 및 유근 발달을 관찰하였다. 발아율 측정결과, 아무처리도하지 않은 1% 한천(agar) 배지에서 $62.7{\pm}7.4%$로 가장 높았고 중금속 농도가 높아질수록 감소하였다. 카드뮴(Cd) 처리구에서는 10, 25, 50, 100, 200 mg/L 농도에서 각각 $17.3{\pm}1.3$, $2.7{\pm}1.3$, $1.3{\pm}1.3$, 0, 0%로 나타났다. 한편, 철(Fe) 처리구에서는 10, 25, 50, 100, 200 mg/L 농도에서 각각 $46.7{\pm}4.8$, $24.0{\pm}2.3$, $36.0{\pm}6.9$, $20.0{\pm}2.3$, 0%로 나타났다. 유근의 평균 생장 길이(mm)는 아무처리도 하지 않은 1% 한천(agar) 배지에서 19.6 mm로 가장 높았고, 중금속 농도가 높아질수록 낮게 나타났다. 카드뮴(Cd) 처리구에서는 10, 25, 50, 100, 200 mg/L 농도에서 각각 4.6 mm, 1.9 mm, 0.7 mm, 0.9 mm, 0 mm 생장한 것으로 나타났다. 한편, 철(Fe) 처리구에서는 10, 25, 50, 100, 200 mg/L 농도에서 각각 15.9 mm, 8.6 mm, 8.1 mm, 0.9 mm, 0 mm 생장한 것으로 나타났다. 실험결과를 종합해 볼 때, 섬초롱꽃 종자 발아 및 유근 생장의 억제는 카드뮴(Cd) 처리구에서 높게 나타났고, 철(Fe) 처리구에서는 비교적 영향을 덜 미치는 것으로 나타났다. 특히 카드뮴은 10 mg/L 농도만 처리하더라도 약 3.6~4.2배의 발아율 생장율 감소가 나타나, 섬초롱꽃 대량증식 시, 치명적일 것으로 판단된다. 본 실험의 결과는 섬초롱꽃 종자를 이용한 대량증식 및 유묘재배에 있어, 토양을 선택하는데 중요한 기초자료로서 활용될 것으로 기대된다.

• Journal of Yeungnam Medical Science
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• v.15 no.2
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• pp.224-236
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• 1998

A study was conducted to investigate the blood lead and zinc protoporphyrin(ZPP) concentrations of the underground parking lot workers who exposed to vehicular exhaust aerosols which contained lead. The blood samples were collected from 25 study subjects of underground parking lot and from 33 controls in Taegu, from July to October, 1997. And also the related factors to the blood lead and ZPP concentrations were investigated. Blood lead concentration and ZPP concentration were measured by flameless furnace atomic absorption spectrophotometer (1L.551) and hemetofluorometer, respectively. The mean blood lead concentrations of study subjects and controls were $23.10{\pm}20.77{\mu}g/dl$ and $12.99{\pm}12.71{\mu}g/dl$, respectively(p<0.05), and the mean blood ZPP concentrations of study subjects and controls were $40.72{\pm}9.46{\mu}g/dl$ and $38.21{\pm}10.97{\mu}g/dl$, respectively. No significant correlations were observed between the blood lead concentration of the study subjects and their job duration and between blood ZPP concentration of the study subjects and their job duration. There were no statistically significant differences in the blood lead concentration and the blood ZPP concentration of smokers and nonsmokers. In multiple regression analysis on blood lead concentration of the study subjects and controls, occupation was a only significant dependent variable. In case of bood ZPP concentration, age was a only significant dependent variable in the study subjects and controls.

• Journal of the Korean Association of Geographic Information Studies
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• v.19 no.4
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• pp.118-129
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• 2016

Many epidemiological studies, relying on administrative air pollution monitoring data, have reported the association between particulate matter ($PM_{10}$) air pollution and human health. These monitoring data were collected at a limited number of fixed sites, whereas government-generated health data are aggregated at the area level. To link these two data types for assessing health effects, it is necessary to estimate area-level concentrations of $PM_{10}$. In this study, we estimated district (Gu)-level $PM_{10}$ concentrations using a previously developed pointwise exposure prediction model for $PM_{10}$ and three types of point locations in Seoul, Korea. These points included 16,230 centroids of the largest census output residential areas, 422 community service centers, and 610 centroids on the 1km grid. After creating three types of points, we predicted $PM_{10}$ annual average concentrations at all locations and calculated Gu averages of predicted $PM_{10}$ concentrations as representative Gu-estimates. Then, we compared estimates to each other and to measurements. Prediction-based Gu-level estimates showed higher correlations with measurement-based estimates as prediction locations became more population representative ($R^2=0.06-0.59$). Among the three estimates, grid-based estimates gave lowest correlations compared to the other two(0.35-0.47). This study provides an approach for estimating area-level air pollution concentrations and assesses air pollution health effects using national-scale administrative health data.