This study is intended to recognize the importance of cold-wind, which is one of the solutions to improve urban amenity, and verify the model that can analyze creation and flow of cold-wind. For this reason, KLAM_21 Model, which was developed by the German’s Meteorological Service, was selected and used for assessment of cold-wind creation and flow. As a result, the followings have been drawn through comparison with measured data and simulated data in the study area; for a mountain area, the simulation result of velocity and direction of wind has been indicated as similar as those in measured data. For a stream area in the city, only wind direction from simulation has been consistent with measured data whereas wind velocity showed a large difference between measurement and simulation. Finally, for the downtown area, wind velocity has shown a lot of differences between simulation result and measured data. Wind direction has also shown a large difference until midnight. But after midnight, model data have become similar as measured data. According to the verification of this study, the model used in this study for using urban-amenity improvement through assessment of creation and flow of cold wind is suitable to analyze the direction of cold wind that is generated in the periphery of the city and the overall flow within the existing urban area. But the results of wind velocity have shown the uppermost limit of the modeling in the simulation. That is, it could not reflect the site characteristics sufficiently. Therefore, if parameters considering the specific regional characteristics are sufficiently reflected, the result of simulations for reliability can be substantially improved.
References
[1]
Sohn, S.M. (2003) A Comparison of Calpuff Model Three-Dimensional Wind Field with Single Measured Climate Data. Master’s Thesis, Graduate School of Environmental Studies of Hanyang University, Seoul.
[2]
Perego, S. (1996) Ein numerisches Modell zur Simulation des Sommersmogs. PhD Dissertation, Bern University, Bern.
[3]
Mun, Y.S., Gu, Y.S. and Ha, Y.S. (2004) 3D Numerical Simulation of Wind Field, Temperature Field, and Concentration Field of Air Quality around Seoul City Hall in Real Time Using MM5 and PANACHE. In: Proceedings in the Korea Meteorological Society, Korean Meteorological Society, Seoul, 42-43.
[4]
Song, B.G. (2011) Development of Integrated Spatial Environmental Assessment and Planning Methods for Improving the Urban Climate and Air Quality. Master’s Thesis, Changwon National University, Changwon.
[5]
Lim, Y.G., Oh, S.N., Yun, W.T. and Chun, Y.S. (2000) A Study on the Simulation of Three-Dimensional Wind Field Considering Complex Terrain and Land Uses in the Region of Seoul. Journal of the Korea Meteorological Society, 36, 229-244.
[6]
Gil, S.W. (2011) A Study on Dispersion Characteristics and Atmospheric Diffusion of Particulate Matter Using CFD and Wind Tunnel. Master’s Thesis, Donga University, Busan.
[7]
Park, S.G., Kim, S.D. and Lee, H.K. (2005) Development of Empirical Model for the Air Pollutant Dispersion in Urban Street Canyons Using Wind Tunnel Test. Environmental Engineering Research, 27, 852-858.
[8]
Haq, S.M.A. (2011) Urban Green Spaces and an Integrative Approach to Sustainable Environment. Journal of Environmental Protection, 2, 601-608. https://doi.org/10.4236/jep.2011.25069
[9]
Edelman, D.J., Schuster, M. and Said, J. (2017) Urban Environmental Management in Latin America. Current Urban Studies, 5, 305-331. https://doi.org/10.4236/cus.2017.53017
[10]
Machado, A.F., Simoes, R.F. and Diniz, S.C. (2013) Urban Amenities and the Development of Creative Clusters: The Case of Brazil. Current Urban Studies, 1, 92-101. https://doi.org/10.4236/cus.2013.14010
Gwon, Y.W., Lee, J.J. and Kim, S.Y. (2001) The Planning Indicators of the Amenity-Plan for the Urban-Amenity. The Geographical Journal of Korea, 35, 351-361.
[13]
Sievers, U. (2005) Das Kaltluftabflussmodell KLAM_21: Theoretische Grundlagen, Anwendung und Handhabung des PC-Modells. Berichte des Deutschen Wetterdienstes, 227, 22-35.
[14]
Ryu, J.W., Jung, E.H., Kim, D.W., Cha, J.G. and Son, K.S. (2008) A Study on Evaluation Analysis of Wind Formation Function Using KLAM_21—The Case of Daegu City. The Korean Association of Geographic Information Studies, 11, 85-92.
[15]
KMA (2012) Korean Meteorological Agency. http://www.kma.go.kr
