Journal of Korean Society for Atmospheric Environment (한국대기환경학회지)

Korean Society for Atmospheric Environment (한국대기환경학회)
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Relation with Activity of Road Mobile Source and Roadside Nitrogen Oxide Concentration

도로이동오염원의 활동도와 도로변 질소산화물 농도의 관계

  • Kim, Jin Sik (Department of Environmental Engineering, University of Seoul) ;
  • Choi, Yun Ju (Korea Water and Wastewater Association) ;
  • Lee, Kyoung Bin (The Institute of Urban Science, University of Seoul) ;
  • Kim, Shin Do (Department of Environmental Engineering, University of Seoul)
  • 김진식 (서울시립대학교 환경공학과) ;
  • 최윤주 (한국상하수도협회) ;
  • 이경빈 (서울시립대학교 도시과학연구원) ;
  • 김신도 (서울시립대학교 환경공학과)
  • Received : 2015.07.21
  • Accepted : 2015.10.27
  • Published : 2016.02.29
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Abstract

Ozone has been a problem in big cities. That is secondary air pollutant produced by nitrogen oxide and VOCs in the atmosphere. In order to solve this, the first to be the analysis of the $NO_x$ and VOCs. The main source of nitrogen oxide is the road mobile. Industrial sources in Seoul are particularly low, and mobile traffics on roads are large, so 45% of total $NO_x$ are estimated that road mobile emissions in Seoul. Thus, it is necessary to clarify the relation with the activity of road mobile source and $NO_x$ concentration. In this study, we analyzed the 4 locations with roadside automatic monitoring systems in their center. The V.K.T. calculating areas are set in circles with 50 meter spacing, 50 meter to 500 meter from their center. We assumed the total V.K.T. in the set radius affect the $NO_x$ concentration in the center. We used the hourly $NO_x$ concentrations data for the 4 observation points in July for the interference of the other sources are minimized. We used the intersection traffic survey data of all direction for construction of the V.K.T. data, the mobile activities on the roads. ArcGIS application was used for calculating the length of roads in the set radius. The V.K.T. data are multiplied by segment traffic volume and length of roads. As a result, the $NO_x$ concentration can be expressed as linear function formula for V.K.T. with high predictive power. Moreover we separated background concentration and concentrations due to road mobile source. These results can be used for forecasting the effect of traffic demand management plan.

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References

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