• 한국대기환경학회지
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• 제15권4호
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• pp.513-517
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• 1999

Problems of secondary pollution and hazardous pollutants have rapidly come to the front in our society during the past few years. More attention should be paid to monitoring and assessment in order to identify the nature of complicated problems, but our air-quality policy is hurriedly seeking for management strategies. A typical example is air quality management in the industrial estates such as those located in Yochon and Ulsan. Yochon Industrial Estate was designated as a special air-quality management area of volatile organic compounds(VOCs) in 1996. And VOCs in the air of Ulsan Industrial Estate has been specially controlled since 1997. In this paper, however, it is suggested that hazardous air pollutants(HAPs) rather than VOCs should have been managed in the industrial estates. History of studies on organic compounds in the air of the industrial estates is reviewed. A stepwise approach for air quality management in the industrial estates is recommended.

• 공업화학
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• 제16권4호
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• pp.474-484
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• 2005

생물학적 방법에 의한 대기오염물질 처리는 기존의 처리방법을 대체할 수 있는 방법으로 각광을 받고 있다. 생물학적 처리방법은 유기화합물 또는 악취가 포함된 저농도 고유량의 공기를 처리하는데 효과적이다. 생물학적 처리 방법은 기존의 소각 또는 흡착 방법에 비해 여러 장점을 가지고 있다. 주요 장점으로 처리비용이 저렴하고, 2차 오염물질이 발생되지 않으며, 화학물질이 사용되지 않고, 에너지 사용이 적으며, 상온에서의 운전 등이다. 대기오염물질을 생물학적 방법으로 처리하는데는 생물여과법이 많이 이용되고 있으나 여러 제약이 있어 이를 해결할 수 있는 방법으로 생물살수여과법에 대한 개발연구가 수년 전부터 수행되어 왔다. 생물살수여과법은 생물여과법에 비해 다소 복잡하나 난분해성 물질이나 분해과정에서 산이 생성되는 경우 효과적으로 이용될 수 있다. 그러나 생물살수여과법을 이용한 대기중 VOC 처리에 대한 연구는 초기단계로서 효율적인 처리를 위해 많은 연구가 진행중이다. 본 연구에서는 대기오염제어를 위한 생물살수여과법의 기본 원리와 이론 및 실용적 내용에 대하여 소개하고자 한다. 특히 생물살수여과법의 운전인자와 성능에 미치는 영향인자에 대하여 중점적으로 다루었다.

• 한국대기환경학회지
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• 제19권6호
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• pp.719-731
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• 2003

In order to maintain and manage ambient air quality, it is necessary to identify sources and to apportion its sources for ambient particulate matters. The receptor methods were one of the statistical methods to achieve reasonable air pollution strategies. Also, receptor methods, a field of chemometrics, is based on manifold applied statistics and is a statistical methodology that analyzes the physicochemical properties of gaseous and particulate pollutant on various atmospheric receptors, identifies the sources of air pollutants, and quantifies the apportionment of the sources to the receptors. The objective of this study was 1) after obtaining results from the PMF modeling, the existing sources of air at the study area were qualitatively identified and the contributions of each source were quantitatively estimated as well. 2) finally efficient air pollution management and control strategies of each source were suggested. The PMF model was intensively applied to estimate the quantitative contribution of air pollution sources based on the chemical information (128 samples and 25 chemical species). Through a case study of the PMF modeling for the PM-10 aerosols, the total of 11 factors were determined. The multiple linear regression analysis between the observed PM-10 mass concentration and the estimated G matrix had been performed following the FPEAK test. Finally the regression analysis provided quantitative source contributions (scaled G matrix) and source profiles (scaled F matrix). The results of the PMF modeling showed that the sources were apportioned by secondary aerosol related source 28.8 ％, soil related source 16.8％, waste incineration source 11.5%, field burning source 11.0%, fossil fuel combustion source 10%, industry related source 8.3％, motor vehicle source 7.9%, oil/coal combustion source 4.4％, non-ferrous metal source 0.3％. and aged sea- salt source 0.2％, respectively.

• 치위생과학회지
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• 제24권1호
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• pp.22-28
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• 2024

Background: Particulate matter (PM) has been extensively observed due to its negative association with human health. Previous research revealed the possible negative effect of air pollutant exposure on oral health. However, the predictive model between air pollutant exposure and the prevalence of periodontitis has not been observed yet. Therefore, this study aims to propose a predictive model for the number of patients with periodontitis exposed to PM and atmospheric factors in South Korea using deep learning. Methods: This study is a retrospective cohort study utilizing secondary data from the Korean Statistical Information Service and the Health Insurance Review and Assessment database for air pollution and the number of patients with periodontitis, respectively. Data from 2015 to 2022 were collected and consolidated every month, organized by region. Following data matching and management, the deep neural networks (DNN) model was applied, and the mean absolute percentage error (MAPE) value was calculated to ensure the accuracy of the model. Results: As we evaluated the DNN model with MAPE, the multivariate model of air pollution including exposure to PM_2.5, PM₁₀, and other atmospheric factors predict approximately 85% of the number of patients with periodontitis. The MAPE value ranged from 12.85 to 17.10 (mean±standard deviation=14.12±1.30), indicating a commendable level of accuracy. Conclusion: In this study, the predictive model for the number of patients with periodontitis is developed based on air pollution, including exposure to PM_2.5, PM₁₀, and other atmospheric factors. Additionally, various relevant factors are incorporated into the developed predictive model to elucidate specific causal relationships. It is anticipated that future research will lead to the development of a more accurate model for predicting the number of patients with periodontitis.

• 디지털콘텐츠학회 논문지
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• 제10권2호
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• pp.299-307
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• 2009

우리가 일상에서 보고 있는 전경의 기시거리는 대기질의 청정상태와 밀접한 관련이 있는 것으로 알려져 있다. 최근에 이들의 관계를 보다 구체적으로 나타내기 위하여 미국의 IMPROVE 기관에서는 대기의 오염물질 구성 농도에 따른 시정거리를 유추할 수 있는 알고리즘을 개발하였다. 이에 본 논문에서는 대기질의 변화에 따른 대기오염의 상태를 화학물질의 정량적인 표현식으로 나타내는데서 나아가 IMPROVE 모델을 통해 유추된 시정거리를 중심으로 관심지역의 시정영상과 연계함으로 화학적 지식이 없는 일반인들도 오염상태를 시각적으로 실감할 수 있게 대기오염 알림판을 구축할 수 있는 프로그램을 구현하였다.

• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2008년도 추계학술대회 논문집
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• pp.173-174
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• 2008

• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2008년도 추계학술대회 논문집
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• pp.87-91
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• 2008

• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2000년도 추계학술대회 논문집
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• pp.429-431
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• 2000

에어로졸의 물리적, 화학적 특성은 주로 입자의 크기 분포와 밀접한 관련이 있다. 따라서 시간에 따른 입자의 크기분포의 변화를 아는 것은 중요한 문제로서, 입자에 작용하는 중력이나, 전기적인 힘, 입자간의 상대속도 등에 의해 입자의 크기분포는 달라질 수가 있다. 이러한 입자간의 상호작용으로 인해 서로 충돌하여 합쳐지는 것으로 이를 응집(Coagulation)이라 한다. (M.M.R. Williams, 1988) (중략)

• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2002년도 추계학술대회 논문집
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• pp.391-392
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• 2002

대기 중에는 오염원으로부터 직접 배출된 1차 에어로졸과 광화학 반응 등에 의해 가스가 입자로 변환되어 생긴 2차 에어로졸이 존재한다. 2차 에어로졸의 생성과정을 규명하기 위하여 스모그 챔버 연구가 많이 수행되고 있다. 본 연구팀에서도 대기를 실내 스모그 챔버에 도입하여 광화학 반응에 의한 2차 에어로졸의 생성 및 성장과정을 규명하는 실험을 수행하고 있다 (박주연 등, 2002). (중략)

• Environmental Engineering Research
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• 제20권2호
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• pp.155-161
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• 2015

Experimental research shows that the nitric oxides ($NO_X$) concentration track at the outlet of selective catalytic reduction (SCR) catalyst with a transient variation of Adblue dosage has a time delay and it features a characteristic of resistance-capacitance (RC). The phenomenon brings obstacles to get the simultaneously $NO_X$ expected to be reduced and equi-molar ammonia available to SCR reaction, which finally inhibits $NO_X$ conversion efficiency. Generally, engine loads change frequently, which triggers a rapid changing of Adblue dosage, and it aggravates the air quality that are caused by $NO_X$ emission and ammonia slip. In order to increase the conversion efficiency of $NO_X$ and avoid secondary pollution, the paper gives a comprehensive analysis of the SCR system and tells readers the key factors that affect time delay and RC characteristics. Accordingly, a map of time delay is established and a solution method for time constant and proportional constant is carried out. Finally, the paper accurately describes the input-output state relation of SCR system by using "variable RC model with time delay". The model can be used for a real-time correction of Adblue dosage, which can increase the conversion efficiency of $NO_X$ in SCR system and avoid secondary pollution forming. Obviously, the results of the work discover an avenue for the SCR control strategy.