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우완기 長安大學 2005 長安論叢 Vol.25 No.1
This study was carried out investigate the relationship between the SO₂, NO₂, O₃and Particulates in Namyang Staion. The result are summarized as follows: Measured concentrations particulates and gaseous air pollutants show quite a monthly variation mainly affected by the meteorological conditions and source strength. Also, it was found that the concentrations of air pollutants were higher when NW and W wind prevail which might be the effect of long range transport of air pollutant. Study results show that PM10 and SO₂ range 18∼456㎍/㎥ and 1∼7ppb, respectively. Short-term PM10 data at Namyang Station typically shows a daily variation with a maximum in the early-spring. PM10 and O₃concentrations were also high on these days because of high wind speeds.
우완기 장안대학 산업경제연구소 2004 産業技術硏究 Vol.13 No.1
This study was conducted in order to investigate the effect of Volatile Organic Compound emissions in various processes at several manufacture's sites. The results are as follows : 1. The consuming amount of Paint, Varnish and Thinner showed relatively higher level at organic chemistry area. 2. For consumption of 64,927.75 kg of Paint, Varnish and Thinner per month, Volatile Organic Compound emissions are calculated as 43,488 kg/month. 3. Emission factors are frequently the best or only method available for estimating emissions, in spite of their limitations. 4. In conclusion, control equipment such as solvent recovery device should be installed in order to minimize Volatile Organic Compound emissions in various processes. It is also necessary too set up Volatile Organic Compound emissions standard or operation guideline for each source. 5. Results show that the transport of air mass from Shiwa Area is partly responsible for the high Volatile Organic Compound concentrations in and around Sihwa.
우완기 長安大學 2009 長安論叢 Vol.29 No.-
This study was carried out investigate the emission rate of air pollutants in Traffic environment The result are summarized as follows. The traffic environment of vehicle was correlated with emission rate of air pollutants Calculated CO₂ emission rate show a daily variation mainly affected by the total travel and fuel consumption. Correlation analysis between the observed Carbon dioxide and Delay time gave correlation coefficient R = 0.530 and the equation Y = 10.51 + 0.916X was obtained Correlation analysis between the observed Carbon monoxide and Delay time gave good correlation coefficient R = 0.580 and the equation Y = 1.109 + 0.079X was obtained. Comparison between Fuel consumption and CO emission rate showed that the trend of HC were similar with air pollutants.