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KMID : 0382420000260040134
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Korean Journal of Environmental Health Society
2000 Volume.26 No. 4 p.134 ~ p.140
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Air Pollution Prediction at Highway Tollgate by Using Real Time Traffic Volume
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Park Seong-Kyu
Kim Shin-Do
Lee Jeong-Joo
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Abstract
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The increase in traffic is a worldwide phenomenon. In Korea, it has been increased by 20% per annual in recent 1990´s and approximately 10 millions cars had been registered until 1997. This traffic could easily affect and contribute the local outdoor air quality(OAQ) concerned. The OAQ in highway is one of the examples and the subject in this study. The Seoul tollgate located at the north-end of Keyongbu Highway was selected for the study. In case of highway tollgate, the local air pollution could be directly affected by the traffic to approach, wait and start the tollgate. Nitrogen dioxide (NO_2) concentration exceeded the EAQS(Environmental Air Quality Standards), but overall indoor air quality was a little better than the outdoor air quality. The measured TSP concentration was much higher than that of the EAQS. To apply a management to a air quality problem of Seoul tollgate, it was predicted air quality with traffic volume and weather condition. It was calculated NO_2 emission with traffic volume and predicted in and out of booth by CALINE3 at the Seoul tollgate. To make a comparison between measured and predicted concentration, the prediction was good. It was shown that NO_2 concentration was high in the morning at the from Seoul direction and in the evening at the to Seoul direction. It was thought that NO_2 concentration variation was reflected according to the traffic volume.
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