본 연구에서는 PMF 모델을 이용하여 PM2.5에 대한 오염원 확인 및 오염원별 기여도를 분석하였다. A시의 배출원별 기여도 순위는 Secondary Sulfate가 19.8%로 가장 기여도가 높고, 그 다음으로는 Mobile 19.5%, Industry 16.0%, Biomass Buring 14.1%, Secondary Nitrate 14.1%, Oil Combustion 11.6%, Aged Sea Salt 2.6%, Soil 2.5% 등으로 분석되었다. Sulfate와 Ammonium 농도가 배출원별 프로 파일에서 기여도가 가장 높은 오염원으로 분석되었는데, 이는 대기 중에서 가스상 전구물질(SOx와 암모니아 가스)이 광화학 반응하여 생성된 2차 에어로졸인 것으로 분석되었다.
In this study, the loading rates (or emission rate) and concentrations of air pollutants (ammonia, hydrogen sulfide, carbon dioxide, methane, nitrous oxide, and particulate matter (PM2.5, PM10 and TSP)) emitted from a naturally ventilated dairy facility were analyzed and compared to enable a better understanding that are in close proximity to each other, air pollution status. In general, the pollution patterns should be similar in measurement sites that are in close proximity to each other, and this hypothesis was fundamental to our approach in this study. For the comparison in nearby different sites, monitoring points were located at inside (source site) and outside the dairy building (ambient site), and concentrations and wind velocity were simultaneously monitored in real time. The patterns of PM2.5 emission rate and loading rate were similar in the source site and the ambient site which was consist with the hypothesis, while the PM2.5 mass concentration were not similar in both sites. As well as PM2.5, the emission rates (source site) of gaseous carbon dioxide (CO2) and nitrous oxide (N2O) were highly correlated to their loading rates (ambient site), while the concentrations of CO2 and N2O were not similar. Therefore, wind velocity, which is included in the emission or loading rate, should be simultaneously monitored with the concentration at the same measurement points for better understanding of the air pollution status.
국가 온실가스 인벤토리를 Tier 2 이상의 수준으로 향상시키기 위해서는 IPCC 기본값 대신 국가 고유의 배출계수가 개발 및 이용되어야 한다. 국가 고유 배출계수는 에너지원 종류, 에너지 공정, 시간 추세에 따라 달라지기 때문에, 각 에너지원별 특성값을 파악하는 것은 정확한 인벤토리 구축에 중요한 부분을 차지한다. 국내 석유계 에너지원의 물성은 시간의 경과에 따라 큰 변화는 없었으며, 국내에서 고시되고 있는 에너지원별 열량환산기준 상의 석유계 에너지원에 대한 열량 및 탄소배출계수를 2013년과 2016년에 실제 시료를 수집하여 발열량, 탄소함량 및 탄소배출계수를 산정한 결과값과의 비교분석에서는 대체적으로 일정한 값을 유지하고 있는 것으로 나타났다. 또한, 석유계 에너지원별로 산출된 순발열량과 탄소배 출계수는 2006 IPCC Guideline에 나타낸 값들과 비교하였으며, 대부분의 에너지원이 2006 IPCC G/L의 기본값 및 상한, 하한 범위내의 값을 나타내었다.
A study of fracture to material is getting interest in nuclear and aerospace industry as a viewpoint of safety. Acoustic emission (AE) is a non-destructive testing and new technology to evaluate safety on structures. In previous research continuously, all tensile tests on the pre-defected coupons were performed using the universal testing machine, which machine crosshead was move at a constant speed of 5mm/min. This study is to evaluate an AE source characterization of SM45C steel by using k-nearest neighbor classifier, k-NNC. For this, we used K-means clustering as an unsupervised learning method for obtained multi -variate AE main data sets, and we applied k-NNC as a supervised learning pattern recognition algorithm for obtained multi-variate AE working data sets. As a result, the criteria of Wilk's λ, D&B(Rij) & Tou are discussed.
The objective of this study was to investigate the 16 priority polycyclic aromatic hydrocarbon (PAHs) concentrations and emission sources from the soils of three regions (north, mid-south, and east) in Jeollanamdo. Overall PAH concentrations in the east region were higher than in north and mid-south regions and 9.1 times higher for polluted areas. The results of the emission source study indicated that average Ant/(Ant+Phe) and InP/(InP+BghiP) ratios were 0.15-0.22 and 0.36-0.46, respectively, which indicated dominant pyrogenic sources in the three regions. For the InP/(InP+BghiP) ratio, various emission sources were shown in the east region where petrochemical facilities and oil storage tanks have been operated.
Indoor air quality is the dominant contributor to total personal exposure because most people spend a majority of their time indoors. Especially when indoor environments have sources of contaminants, exposure to indoor air can potentially pose a greater threat than exposure to ambient air. In this study, estimations of volatile organic compounds and formaldehyde emission rate in indoor environments of new apartments were carried out using mass balance model in indoor environment, because indoor air quality can be affected by source generation, outdoor air level, ventilation, decay by reaction, temperature, humidity, mixing condition and so on. Considering the estimated emission rate of volatile organic compounds and formaldehyde, it is suggested that new apartment should be designed and constructed in the aspect of using construction materials to emit low hazardous air pollutants.