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http://dx.doi.org/10.33768/ksue.2018.18.4.511

A Study on Prediction Model Conformity of Line Source in Urban Area  

Kim, Jin Hong (Department of Environmental Engineering, Kwangwoon University)
Park, Sun hwan (Shinil Environmental Co., Ltd)
Chang, Yoon young (Department of Environmental Engineering, Kwangwoon University)
Publication Information
Journal of the Korean Society of Urban Environment / v.18, no.4, 2018 , pp. 511-521 More about this Journal
Abstract
Despite the limitations and difficulty in the application of CALINE3 model for air dispersion prediction of roads and tunnels construction businesses in South Korea, the model is being used in all roads construction projects. This study compared the predicted values of CALINE3 and AERMOD model that is suggested by the US EPA, to the values of GRAL model, a Lagrangian particle tracking model developed in Europe, by applying the models to the existing roads of the urban areas. The result showed low relevance to the actual measurement value in the case of CALINE3 model, thus displaying a low trusted value when applying to the urban areas. In the case of using AERMOD model, the predicted values were overly expressed compared to the actual measurement value, thus leading to the need of adding a No2 conversion method to the model in the future. In the case of GRAL model, a Lagrangian particle tracking model, the relevance between the actual and predicted values were high as the model considers the surrounding topography and the buildings all together, thus confirming that the model can be used for air dispersion prediction of the roads in the urban areas. Lastly, the result of this study testing the air prediction models in Jeongneung Measuring Station points that it is necessary for the future studies to expand the testing areas and test the validity of the models continuously.
Keywords
Air quality model; Urban area; Line source; GRAL; CALINE3; AERMOD;
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  • Reference
1 Kim, D. Y. and Choi, S. M., Development of Air Quality Modeling System for Seoul Metropolitan Area, Gyeonggi Research Institute, Korea (2003).
2 Ministry of Environment (MOE), A Study on the Application Guidelines of Environmental Impact Prediction Model, Korea (2007).
3 Ministry of Environment (MOE), Guide to Using the Environmental Impact Prediction Model, Korea (2009).
4 Kang, Y. H., Lee, Y. S., and Park, Y. J., Reduction of Air Pollutants from Tunnels in Automobile Operation, Korea Environment Institute, Korea (2003).
5 Oke, T. R., "Street design and urban canopy layer climate," Energy and buildings, 11(1), 103-113 (1988).   DOI
6 Hwang, M. K., Oh, I. B., and Kim, Y. G., "Numerical Modeling for the Effect of High-rise Buildings on Meteorological Fields over the Coastal Area Using Urbanized MM5," Journal of Korean Society for Atmospheric Environment, 28(5), 495-505 (2012).   DOI
7 Jeong, S. J. and Park, O. H., "Development of a New E-${\varepsilon}$ turbulence model for analysing the air flow field within an urban street canyon," Journal of Korean Society for Atmospheric Environment, 15(3) 281-289 (1999).
8 Britter, R. E. and Hanna, S. R., "Flow and dispersion in urban areas," Annu. Rev. Fluid Mech, 35, 469-496 (2003).   DOI
9 Zhou, Y., Levy, J. I., Evans, J. S., and Hammitt, J. K., "The influence of geographic location on population exposure to emissions from power plants throughout China," Environment International, 32(3), 365-373 (2006).   DOI
10 Psul, E. Benson., CALINE3; A Versatile Dispersion Model for Predicting Air Pollutant Levels Near Hiways and Arterial Streets, Office of Transportation Labotory California Department of Transportation U.S.A (1979).
11 U.S, Environmental Protection Agency, Revisions to the Guideline on Air Quality Models: Enhancements to the AERMOD Dispersion Modeling System and Incorporation of Approaches To Address Ozone and Fine Particulate Matter, 40 CFR Part 51 (2017).
12 National Institute of Environmental Research, Air Pollutant Emission Factor, Korea (2015).
13 Ministry of Economy, Trade and Industry, Low Rise Industrial Source Dispersion Model METI-LIS Model Ver. 2.0 Technical Manual. Research Center for Chemical Risk Management National Institute of Advanced Industrial Science and Technology (2005).
14 Ottl, D., Documentation of the Lagrangian Particle Model GRAL (Graz Lagrangian Model) Vs. 16.8., Government of Styria (2016).
15 Korea Environment Institute, EIA_Guideline_Series A_II_Ver.1.0., Korea (2015).
16 U.S. Environmental Protection Agency, User's Guide for the AMS/EPA Regulatory Model (AERMOD), (2018).
17 Kim, Y. M., Moon, N. K., Ha, J. S., and Kim, M. A., Study on Improvement of Estimation of Emission of Air Pollutants Emitted from Vehicles in Environmental Impact Assessment, Korea Environment Institute, Korea (2017).
18 Bruce, Denby., Guidance document for modelling ETC/ACC deliverable (2010).
19 U.S. Environmental Protection Agency, User's Guide for the AERMOD Meteorological Preprocessor (AERMET) (2018).