• Proceedings of the Korea Air Pollution Research Association Conference
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• 1996.04a
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• pp.17-17
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• 1996

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2006.04a
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• pp.37-42
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• 2006

• Journal of the Korean Society of School Health
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• v.23 no.1
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• pp.29-40
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• 2010

Purpose: The purposes of this study were: (a) to assess indoor air quality such as $PM_{10}$, $CO_2$ concentrations in child daycare centers, (b) to compare the levels with each standard, and (c) to identify teachers' awareness of indoor air quality in child care centers. Methods: Data were obtained from seventeen child daycare centers and ninety-eight teachers in a district of Seoul, from April 3 to May 12, 2009. Collected data were analyzed by SAS 8.2, and descriptive statistics, $x^2$ test, student t-test, Pearson correlation analysis, and Spearman rank correlation were used. Results: The mean of $PM_{10}$ and $CO_2$ level were $50.3{\mu}g/m^3$ and 792.1ppm. Sixteen child daycare centers (94.2%) met the guidelines of the $PM_{10}$ level, so did thirteen child daycare centers (76.5%) in the $CO_2$ level. $CO_2$ levels were significantly low in child daycare centers using air cleaners than those do not using them (t=-6.03, p<.001). Types of child daycare centers were significantly correlated to the levels of $CO_2$, which public child daycare centers were low in $CO_2$ levels than those of private child daycare centers (t=-2.54, p=.013). There was no significant correlation between teachers' awareness and management attitude of indoor air quality while teachers' awareness of indoor air quality significantly raised the frequency of carpet cleaning. Methods of cleaning routines were significantly correlated with $PM_{10}$, and $CO_2$ levels. Conclusion: The $PM_{10}$ and $CO_2$ concentrations in child daycare centers were satisfactory. Those conditions are affected by general characteristics of child daycare centers and teachers' attitude regarding management of indoor air quality.

• Journal of Korean Society for Atmospheric Environment
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• v.32 no.6
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• pp.583-592
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• 2016

In this study, we attempt to provide empirical evidence for the effect of the expenditure of the local governments on the air quality management. Based on the statistical data, the concentrations of air pollutants including $PM_{10}$, $O_3$, and $NO_2$ were analyzed in accordance with local characteristics of the local governments' environmental expenditure, demographic characteristics, and economic and human resources between 2008 and 2014. The results showed that government spending is estimated to have insignificant impact on air pollutants concentration. All these results are consistently corroborated from the analysis based on different alternative measure of local governments' expenditure (budget composition and measure of expenditure residuals). Subsequently, this study implies that environmental expenditures of local governments have not been effectively enforced to enhance the air quality of the region in Korea.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.2825-2827
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• 2000

In electric power industry. load balance has been one of the most fundamental and important management goals. Therefore. the strategy to achieve high quality load management now includes load balance besides the stabilization of electricity supply and quality management of electricity. Amongst many techniques of load management. direct load management has been actively studied and utilized to increase power facility and peak load suppression. Higher peak load situation is appeared during summer than during winter in Korea. and approximately 20% of the peak load is due to the load for air-conditioning. To cope with this peak load problem during summer KEPCO is performing a research project to develop a system to remotely control air-conditioning load using wireless communication. Currently, applicable facilities are limited to small-scale air-conditioning facility that has less than 2KW power capacity. This paper described the 1st year of efforts made in the study.

• Journal of Korean Society of Transportation
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• v.27 no.5
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• pp.29-37
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• 2009

As the level of the ambient air quality becomes increasingly important, transportation management strategies tend to incorporate air quality standards into their measure of effectiveness. However, previous research efforts did not pay much attention to the empirical relationships between traffic volume and air quality, potentially due to the lack of data. With this background, this study investigates the relationship using Seoul's existing traffic and air quality monitoring data collected over the period of three years, from 2005 through 2007. In particular, those paired monitoring sites with a distance of less than one kilometer apart were utilized, targeting the emissions of CO, NO, $NO_2$, and $PM_{10}$. As a result, in general the data of two monitoring systems exhibited lower correlations, $NO_2$ showing a relatively higher correlation with traffic volumes than other emissions. In addition, it was found that the degree of correlation can be higher for the data obtained over the morning time period, 6am-9am, and the day after rainy days.

• Journal of Information Technology Applications and Management
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• v.28 no.6
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• pp.87-95
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• 2021

Recently interest for air pollution is gradually increasing. However, according to the environmental assessment of air quality, the level of air pollution in the nation is quite serious, and air pollutants measuring facilities are also not enough. In this paper, a secure air pollutants sensor system based low power wireless communication is designed and implemented. The proposed system is composed of three parts: air pollutants measuring sensors module, LoRa-based data transmission module, and monitoring module. In the air pollutants measuring module, the MSP430 board with six big air pollutants measuring sensors are used. The air pollutants sensing data is transmitted to the control server in the monitoring system using LoRa transmission module. The received sensing data is stored in the database of the monitoring system, and visualized in real-time on the map of the sensor locations. The implemented air pollutant sensor system can be used for measuring the level of air quality conveniently in our daily lives.

• Journal of Environmental Science International
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• v.3 no.2
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• pp.77-88
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• 1994

When we conduct environmental impact assessment, main contents consist of summary, project outline, environmental conditions, environmental impacts due to the project, mitigation devices, and alternative measures of harmful impact on environment. In this Paper, to understand how they really conduct air quality impact assessment and prediction and examine their effectiveness, we considered the provisions and actual case of environmental impact assessment in Korea with that in Japan. As a result, we propose a method of improving air quality impact assessment and Prediction, such as reflection of the result in environmental impact assessment, detailed assessment focused on relatively important environmental impact elements, field measurement investigation over four season and seven sucessive days, the uniformity of units, the proper model development to predict environmental concentration and a biennial environmental impact assessment for ex post management.

• Proceedings of the KSR Conference
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• 2011.05a
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• pp.594-600
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• 2011

"The guidelines on the management of indoor air quality of public transportation" was enacted in December 2006 due to the fact that the interest and demand of improving the air quality for citizen using public transportation have been increased. Thus this research has considered what has influenced on the passenger cabin HVAC as well as the improvement of customer service as we proceed the study for better indoor air quality inside of the train by developing the module of cleaning air system for pollutants of a car air.

• Journal of Environmental Health Sciences
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• v.16 no.2
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• pp.1-10
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• 1990

This study was performed to evaluate a applicability of TCM(Texas Climatological Model) model to a industrial area sush as CUNSAN and a possibility to provide necessary informaitons for air quality management. The air pollutants were measured at 6 sampling sites of GUNSAN industrial area from june to july in 1989. The model was checked by comparing the observed data with estimated data. The meteorological data for wind direction and wind speed were obtained from the observatory station in GUNSAN. The results are summarized as follows. 1. Average concentrations of air pollutants at all sampling sites were SO$_{2}$ 0.011-0.019 ppm. NO$_{2}$ 0.012-0.017 ppm. CO 0.6-1.0 ppm. TSP 45.8-64.2 $\mu$g/m$^{3}$. 2. The emission amounts show that point source are in general higher than area source. 3. As a results of correlation analysis, relationship between SO$_{2}$ concentration in the observed value and estimated value showed positive significance.(r = 0.766) 4. The sulfer content of the 1.6% at present to 0.8%, which means a 53.3% reduction. By controlling stack height could be lowered 14.5%, but the effective way of emission control is use of the lower sulfer fuels than controlling stack height. 5. The ratio between SO$_{2}$ contration in the observed value and estimated value showed 1.05. There-fore, the TCM model was quite effective in predicting air quality in GUNSAN industrial area.