• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.287-298
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• 2020

Air pollution is a severe risk factor in public health. It is not only a cause of a variety of physical disorders but also attributable to mental health problems. This study aimed to investigate the differences on emotions, physical symptoms, future perspectives by perceived air pollution. Sixty-one university students were randomly allocated either to air pollution group (n = 30) or clean air group (n = 31). Participants watched a news video clip of a polluted city or a clean city according to their condition and were asked to imagine as if they were living in the city. Results showed that air pollution group reported increased depression, anxiety, anger and physical symptoms after the exposure. Meanwhile, clean air group showed no significant changes or decrease of them. In addition, air pollution group reported restrained future time perspectives and decreased plan of outdoor activities, while clean air group did not report significant changes after the exposure.

• Journal of Korean Society for Atmospheric Environment
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• v.19 no.6
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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.

• Journal of the Society of Naval Architects of Korea
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• v.61 no.2
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• pp.135-142
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• 2024

There is a lot of concern around the world about air pollution from ships. The majority of air pollution from ships comes from fuel combustion. The combustion process produces various air pollutants such as carbon monoxide (CO), carbon dioxide (CO₂), nitrogen oxides (NOx), sulfur oxides (SOx), and particulate matter (PM), each of which has adverse effects on people and is a major environmental problem. To prevent this, the International Maritime Organization (IMO) has strengthened the regulation of pollutant emissions through the Convention for the Prevention of Marine Pollution. This paper discusses the types of air pollutants emitted by ships, their current status, and the latest technologies to reduce emissions of NOx and SOx.

• Journal of Korean Society for Atmospheric Environment
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• v.33 no.2
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• pp.77-86
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• 2017

Globally, use of affordable fuels such as briquettes, woods and wood pellets has increased. Organic pollutants emitted from non-point sources using solid fuels may have contributed to air pollution in urban environment. In this study, we utilized simulated incinerator proposed by U.S. EPA and investigated concentrations of PM, $PM_{10}$, $PM_{2.5}$, OC/EC, CO, $SO_x$, $NO_x$, VOCs and PAHs emitted while cooking meat and fish using briquettes, woods and wood pellets, and developed emission factors. As a result, wood combustion produced more air pollutants than the others. Particulate matter emission factors for woods and wood pellets were 13.54 g/kg and 9.15 g/kg, respectively. Total VOCs emission factors for briquettes, woods and wood pellets were 36.12mg/kg, 46.13mg/kg and 18.26mg/kg, respectively. Additionally, total PAHs emission factors for briquette, woods and wood pellets were 0.44 mg/kg, 18.84mg/kg and 101.62mg/kg, respectively.

• Transactions of the Korean Society of Automotive Engineers
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• v.7 no.9
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• pp.20-27
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• 1999

The proportion of diesel vehicle is very high in this country . PM and NOx emitted from diesel-posered vehicle is severely ;affecting to be air quality . Especially, diesel particulate matters(DPM) including black smoke are hazardous air pollutants to human health and environment. In order to reduce the exhaust emissions from diesel engines, it is necessary to analyze the characteristics of exhaust emissions from diesel engines in various driving conditions. Recently, there are occasion to increase the fuel consumption rate to engine power up. So, in this study we have tested a diesel engine detached from in use -diesel vehicle and analyzed exhaust emission by driving condition and fuel dispersion rate. From this results, we will prepare the comprehensive management plan for exhaust emissions from diesel vehicles and contribute to the improvement of air pollution in urban area.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2007.10a
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• pp.471-472
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• 2007

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2008.10a
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• pp.457-459
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• 2008

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2003.11a
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• pp.341-342
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• 2003

대기 중의 부유분진 (suspended particulate matters)은 대기오염을 측정하는 일반지표 중의 한 항목으로, 보통 대기의 단위부피당 질량으로 그 오염정도를 판단하고 있다. 대기 중 부유분진은 입경별 농도분포에 따라 통해 오염원의 특성을 파악할 수 있고, 여러 오염원에서 배출되어지는 여러 화학물질들로 구성되어 있기 때문에 인체 위해성 측면에서 많은 관심의 대상이 되어 왔다. 또한 다환방향족탄화수소 (Polycyclic Aromatic Hydrocarbons, PAHs)는 환경에 존재하는 중요한 발암물질이자 돌연변이 유도체이다.(중략)

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2002.04a
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• pp.227-228
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• 2002

대기오염물질 중 입자상물질(particulate matter, PM)의 크기분포 측정은 주로 다단임팩터(cascade impactor)에 의해 이루어지고 있다. 임팩터 각 단에 포집된 입자의 무게를 측정하여 입자상물질의 크기 분포로 환산하는 다단임팩터는 입자의 샘플링에 많은 시간이 소모되며 필터의 전처리 및 무게측정과정이 번거롭고, 시간에 따른 농도분포의 추이를 파악할 수 없는 단점이 있다. (중략)

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.540-542
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• 2019

With many announcements on air pollution and human effects from particulate matters, particulate matter forecasts are attracting a lot of public attention. As a result, various efforts have been made to increase the accuracy of particulate matter forecasting by using statistical modeling and machine learning technique. In this paper, the particulate matter AQI index prediction is performed using the multilayer perceptron neural network for particulate matter prediction. For this purpose, a prediction model is designed by using the meteorological factors and particulate matter concentration values commonly used in a number of studies, and the accuracy of the particulate matter AQI prediction is compared.