• 한국세라믹학회지
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• 제47권3호
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• pp.244-248
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• 2010

Porous calcium phosphates were successfully fabricated by using a cuttlefish bone. The cuttlefish bone, which is composed of $CaCO_3$, showed a special porous microstructure containing uniform-sized voids. In this study, the pre-forms infiltrated distilled phosphoric acid were sintered at $1200^{\circ}C$ in an air atmosphere. The porous microstructure of the pre-forms was kept their original pattern after sintering with a synthesis of calcium phosphate. The obtained porous calcium phosphate, sintered at $1200^{\circ}C$ for 3 h at 17% concentration of phosphoric acid, showed uniform open pores of 150 ${\mu}m$ in size and $\beta$-TCP phase in the XRD patterns. Above 16% concentration, CaO phase, derived from the decomposition of $CaCO_3$, decreased gradually in the sintered samples, and the measured Ca/P ratios of the samples prepared from 16% and 18% concentration were 1.67 and 1.43, which are close to stoichiometric HA (1.66) and $\beta$-TCP (1.50).

• 한국환경과학회지
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• 제20권8호
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• pp.1049-1059
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• 2011

This paper examines the effects of the partial solar eclipse of 22 July 2009 across the Korean peninsular on surface temperature and ozone concentrations in over the Busan metropolitan region (BMR). The observed data in the BMR demonstrated that the solar eclipse phenomenon clearly affects the surface ozone concentration as well as the air temperature. The decrease in temperature ranging from 1.2 to $5.4^{\circ}C$ was observed at 11 meteorological sites during the eclipse as a consequence of the solar radiation decrease. A large temperature drop exceeding $4^{\circ}C$ was observed at most area (8 sites) of the BMR. Significant ozone drop (18~29 ppb) was also observed during the eclipse mainly due to the decreased efficiency of the photochemical ozone formation. The ozone concentration started to decrease at approximately 1 to 2 hours after the event and reached its minimum value for a half hour to 2 hours after maximum eclipse. The rate of ozone fall ranged between 0.18 and 0.49 ppb/min. The comparison between ozone measurements and the expected values derived from the fitted curve analysis showed that the maximum drop in ozone concentrations occurred at noon or 1 PM and was pronounced at industrial areas.

• Journal of Astronomy and Space Sciences
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• 제33권4호
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• pp.305-311
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• 2016

The spatial size and variation of Arctic sea ice play an important role in Earth's climate system. These are affected by conditions in the polar atmosphere and Arctic sea temperatures. The Arctic sea ice concentration is calculated from brightness temperature data derived from the Defense Meteorological Satellite program (DMSP) F13 Special Sensor Microwave/Imagers (SSMI) and the DMSP F17 Special Sensor Microwave Imager/Sounder (SSMIS) sensors. Many previous studies point to significant reductions in sea ice and their causes. We investigated the variability of Arctic sea ice using the daily sea ice concentration data from passive microwave observations to identify the sea ice melting regions near the Arctic polar ice cap. We discovered the abnormal melting of the Arctic sea ice near the North Pole during the summer and the winter. This phenomenon is hard to explain only surface air temperature or solar heating as suggested by recent studies. We propose a hypothesis explaining this phenomenon. The heat from the deep sea in Arctic Ocean ridges and/or the hydrothermal vents might be contributing to the melting of Arctic sea ice. This hypothesis could be verified by the observation of warm water column structure below the melting or thinning arctic sea ice through the project such as Coriolis dataset for reanalysis (CORA).

• 한국빅데이터학회지
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• 제6권2호
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• pp.39-49
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• 2021

최근 국가 관측망, 기업 공기 측정기 등을 통해 많고 다양한 기상 데이터가 수집되고 있다. 기계학습 기법을 통해 기상 예측하려는 노력이 곳곳에서 이루어지고 있으며, 국내 미세먼지는 농도가 증가해오고 사람들의 관심이 높아 가장 관심있는 예측 대상 중 하나이다. 본 연구에서는 서울시 전역에 설치된 840여 개실외공기측정기 데이터를 사용하여 PM10·PM2.5 예측 모형을 비교하고자 한다. 5분 뒤 미세먼지 농도 예측을 통해 실시간으로 정보를 제공할 수 있으며, 이는 10분·30분·1시간 뒤 예측 모형 개발에 기반이 될 수 있다. 잡음 제거, 결측치 대체 등의 데이터 전처리를 진행하였고, 시·공간 변수를 고려할 수 있는 파생 변수를 생성하였다. 모형의 매개변수는 반응 표면 방법을 통해 선택하였다. XGBoost, 랜덤포레스트, 딥러닝(Multilayer Perceptron)을 예측 모형으로 사용하여, 미세먼지 농도와 예측값의 차이를 확인하고, 모형 간 성능을 비교하고자 한다.

• 한국대기환경학회지
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• 제25권5호
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• pp.369-381
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• 2009

The objective of this study was to simulate surface air pollutants and to examine reliability of mobile emission for CMAQ system using an observation-based approach in the Seoul Metropolitan Area. Accurate assessment of emissions from mobile source is one of the most debatable parts in the entire emissions inventory process. For this study, we evaluated the official emission inventories of Volatile Organic Compounds (VOCs) and nitrogen oxides ($NO_x$) using an observation-based approach. In this paper, we achieved VOCs/CO and $NO_x$/CO ratios derived from ambient measurements taken from June to August of 2005 in early morning (07:00~08:00). And we compared them with those derived from the emission inventory. Based on these ratios and on the assumption that official inventory of CO emissions is reasonably accurate, mobile emissions of $NO_x$ seem to be slightly overestimated and VOCs emissions significantly underestimated. The results of simulations using modified emission of mobile source were in closer agreement with the observation results except NO. Predicted NO values based on revised $NO_x$ emissions were considerably lower than the observed values. Using modified emission inventories brings the modeled values into closer agreement with observed ozone levels in Seoul. Especially in case of CO, $NO_x$ and VOCs emission, the modified values were suitable for simulating ozone levels in Seoul and Gyeonggi. However, ozone values predicted using the modified emissions were higher than the observed and predicted values based on original emissions. According to the 95 percentile ozone concentrations, emission revised by CO, $NO_x$ and VOCs from mobile source was the best for predicting high concentration.

• 한국대기환경학회지
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• 제32권6호
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• pp.575-582
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• 2016

Seoul city has high population density as well as high traffic congestion, which are vulnerable to exposure of environmental pollutions caused by car traffic. However, recent studies are only on local regions about road traffic and air pollution or health effect of road traffic on residents. Thus, comprehensive study data are needed in terms of overall Seoul regions. In this study utilized the nitrogen dioxide concentration through the national air pollution monitoring network data, 2012 to 2013. It also divided regions into high and low exposure districts via the Origin destination data developed by the Korea transport institute to quantify and evaluate the effect of transport policies and analyzed a correlation of asthma symptoms with high and low exposure districts through raw data of community health survey from the Korea centers for disease control and prevention. Based on the collected data, the pearson's correlation analysis was conducted between air pollution substance concentration and high exposure district and multiple logistic regression analysis was conducted to determine the effect of traffic environment and factors on asthma symptoms of residents. Accordingly, the following results were derived. First, the high exposure district was higher concentrations of nitrogen dioxide ($NO_2$) as per time compared to those of the low exposure district (p<0.01). Second, analysis on correlation between average daily environmental concentration in the air pollution monitoring network and road traffic showed that nitrogen dioxide had a significant positive correlation (p<0.01) with car traffic and total traffic as well as with truck traffic (p<0.05) statistically. Third, an adjusted odds ratio about asthma doctor's diagnosis in the high and low exposure districts was analyzed through the logistic regression analysis. With regard to an adjusted model 2 (adjusted gender, age, health behavior characteristics, and demographic characteristics) odds ratio of asthma doctor's diagnosis in the high exposure district was 1.624 (95% CI: 1.269~2.077) compared to that of the low exposure district, which was significant statistically (p<0.001).

• 한국대기환경학회지
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• 제26권1호
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• pp.34-47
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• 2010

Long-range transport of air pollutants was simulated using Comprehensive Acid Deposition Model (CADM) and Yonsei University-Sulfuric Acid Deposition Model (YU-SADM). For the simulation, weather patterns that represent the four seasons were derived through a clustering analysis with 5-years of meteorological data. The simulation result showed that in spring, influenced by strong low pressure from China, air pollutants of moved to the Korean Peninsula. In summer, humid air moved into the Korean Peninsula across the Yellow Sea while the north pacific high pressure extended, making the concentration of air pollutants lower than that in the other seasons. In autumn, air pollutants were transported by the northwest wind caused by the movement of high pressure over the Yellow Sea, while in winter air pollutants were influenced by northwest winds from continental highs. The amount of air pollutants in each season showed that high amount of pollutants were transported in winter due to the strong northwest wind. The in-flows were 3 to 8 times higher than those of the other seasons, and out-flows were about as twice as high. The amount of wet deposition in summer and autumn increased significantly compared to the amount in the other seasons due to the increase of rainfall. Source-receptor relationship analysis for sulfur showed that 70 to 91 precent of the total deposition came from the self-contribution by the Korean Peninsula. In winter, contribution from China was about 25 percent of the total deposition which was higher amount than any other season.

• 분석과학
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• 제8권4호
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• pp.731-738
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• 1995

Toxic air pollutants are investigated in a petrochemical industrial park in Taiwan by using a movable open path FTIR. The results show the qualitative and quantitative analysis of emission gases from plants, and also provide the emission rate of different compounds. More than twenty compounds under usual operation are found from this industrial park. The concentration variation with time can be correlated exactly with wind direction. It means that by changing the measuring points, the source of emission can be unambiguously identified. An EPA proved PAL model is applied to estimate the emission rate of either a point or an area source. Local atmospheric stability is determined by releasing the $SF_6$ tracer. The origins of errors come mainly from the uncertainty of source's configuration and the variation of meteorological condition. Through the continuous measurement (half an hour base in this study) of OP-FTIR sensor, the maximum value of emission rate and the annual amount of emission can be derived. The emission rate of the measured toxic gases are derived by the model technique and the results show that the emission amount are in the order of ten to hundred tons per year.

• Journal of Radiation Protection and Research
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• 제38권2호
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• pp.68-77
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• 2013

국내 원자력안전법, 산업안전보건법 및 최신 연구에 근거하여 우라늄 취급시설에서 종사자의 우라늄 섭취로 인한 방사선 위해의 최소화 및 화학적 독성 방지를 동시에 고려한 유도조사준위를 산출하였다. 본 연구에서 방사선 위해의 조사 준위는 연간 2 mSv-6 mSv의 예탁유효선량을 고려하였으며, 화학적 독성의 조사준위는 0.3 ${\mu}g$ $g^{-1}$의 신장의 우라늄 농도를 고려하였다. 결과로써 핵연료가공시설에서 3.5% 농축우라늄 취급 시, 공기 중 우라늄 농도측정의 유도조사준위는 Type F, Type M 및 Type S 우라늄 급성흡입 시 화학적 독성에 근거한 STEL의 값인 0.6 mg $m^{-3}$으로 산출되었다. 또한 Type F 우라늄 만성흡입 시 유도조사준위는 화학적 독성에 근거한 15.21 ${\mu}g$ $m^{-3}$으로 산출되었으며, Type M 및 Type S 우라늄 만성흡입 시 유도조사준위는 각각 방사선 위해에 근거한 0.41-1.23 Bq $m^{-3}$ 및 0.13-0.39 Bq $m^{-3}$으로 산출되었다. 폐 측정의 유도조사준위는 6개월 감시주기에서 Type M 우라늄 급성흡입 및 만성흡입 시 각각 0.37-1.11 Bq 및 0.39-1.17 Bq으로 산출되었으며, Type S 우라늄 급성흡입 및 만성흡입 시 각각 0.30-0.91 Bq 및 0.19-0.57 Bq으로 산출되었다. 이 값들은 일반적으로 사용되는 폐 측정 기기인 germanium 검출기의 검출한도인 4 Bq 이하로 나타나 폐 측정으로는 본 연구에서 설정한 조사준위를 만족시킬 수 없는 것으로 나타났다. 소변시료 분석에서 Type F 우라늄을 급성흡입 후 1개월 감시주기에서 유도조사준위는 화학적 독성에 근거한 14.57 ${\mu}g$ $L^{-1}$로 산출되었다. 또한 Type M 우라늄을 급성흡입 및 만성흡입 시 1개월 감시주기에서 유도조사준위는 각각 방사선 위해에 근거하여 2.85-8.58 ${\mu}g$ $L^{-1}$ 및 1.09-3.27 ${\mu}g$ $L^{-1}$으로 산출되었다.

• 대한설비공학회지:설비저널
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• 제11권4호
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• pp.19-33
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• 1982

우리나라에서 대량으로 제기되는 연탄재는 밀도가 낮으면서도 충분한 강도를 가지며 표면적을 많이 제공할 뿐만 아니라 흡착성이 있으므로 고정미생물막공법에서 매질로 사용하여 유기성 폐수를 처리하면 유기물 제거효율이 매우 높을 뿐만 아니라, 처리수의 BOD농도를 표면부하나 용적부하로 계산할 수 있으므로 처리시설의 설제가 용이한 경제적인 폐수처리공법이 될 수 있다. 그러나 연탄재 매질을 장기간 사용하면 원수내의 SS, 성장한 미생물의 탈리 등에 의하여 처리수의 수질이 악화될 수도 있으므로 종말침전지가 요구될 수도 있다.