DOI QR코드

DOI QR Code

Wind Field Change Simulation before and after the Regional Development of the Eunpyeong Area at Seoul Using a CFD_NIMR_SNU Model

CFD_NIMR_SNU 모형을 활용한 은평구 건설 전후의 바람환경 변화 모사 연구

  • Cho, Kyoungmi (Applied Meteorology Research Laboratory, National Institute of Meteorological Research, Korea Meteorological Administration) ;
  • Koo, Hae-Jung (Applied Meteorology Research Laboratory, National Institute of Meteorological Research, Korea Meteorological Administration) ;
  • Kim, Kyu Rang (Applied Meteorology Research Laboratory, National Institute of Meteorological Research, Korea Meteorological Administration) ;
  • Choi, Young-Jean (Applied Meteorology Research Laboratory, National Institute of Meteorological Research, Korea Meteorological Administration)
  • 조경미 (국립기상연구소 응용기상연구과, 기상청) ;
  • 구해정 (국립기상연구소 응용기상연구과, 기상청) ;
  • 김규랑 (국립기상연구소 응용기상연구과, 기상청) ;
  • 최영진 (국립기상연구소 응용기상연구과, 기상청)
  • Received : 2011.06.22
  • Accepted : 2011.08.13
  • Published : 2011.08.31

Abstract

Newly constructed, high-rise dense building areas by urban development can cause changes in local wind fields. Wind fields were analyzed to assess the impact on the local meteorology due to the land use changes during the urban redevelopment called "Eunpyeong new town" in north-western Seoul using CFD_NIMR_SNU (Computational Fluid Dynamics, National Institute of Meteorological Research, Seoul National University) model. Initial value of wind speed and direction use analysis value of AWS (Automatic Weather Station) data during 5 years. In the case of the pre-construction with low rise built-up area, it was simulated that the spatial distribution of horizontal wind fields depends on the topography and wind direction of initial inflow. But, in the case of the post-construction with high rise built-up area, it was analyzed that the wind field was affected by high rise buildings as well as terrain. High-rise buildings can generate new circulations among buildings. In addition, small size vortexes were newly generated by terrain and high rise buildings after the construction. As high-rise buildings act as a barrier, we found that the horizontal wind flow was separated and wind speed was reduced behind the buildings. CFD_NIMR_SNU was able to analyze the impact of high-rise buildings during the urban development. With the support of high power computing, it will be more common to utilize sophisticated numerical analysis models such as CFD_NIMR_SNU in evaluating the impact of urban development on wind flow or channel.

Keywords

References

  1. 기상연구소, 2007, 국지기상특성 진단 및 기상환경영향평가 기술 개발 연구 (II), 국립기상연구소 연구보고서
  2. 기상연구소, 2008, 국지기상특성 진단 및 기상환경 영향평가 기술 개발 연구 (III), 국립기상연구소 연구보고서
  3. 구해정, 최영진, 김규랑, 변재영, 2009, 계산유체역 학모형 CFD_NIMR_SNU를 이용한 국지적으로 가열된 산악지역의 상세 바람 흐름 모사, 한국농림기상학회지, 제 11권, 제 4호, 192-205
  4. 김재진, 백종진, 2005, CFD 모형으로 이용한 도시 지역 흐름 및 스칼라 분산 연구, 한국기상학회지, 제 41권, 제 5호, 821-837
  5. Baik, J.-J., R.-S. Park, H.-Y., Chun, J.-J., Kim, 2000: A laboratory model of urban street-canyon flows. J. Appl. Meteor., 39, 1592-1600. https://doi.org/10.1175/1520-0450(2000)039<1592:ALMOUS>2.0.CO;2
  6. Baik, J.-J., J.-.J. Kim, and H.J.S. Fernando, 2003: A CFD model for simulating urban flow and dispersion. Journal of Applied Meteorology, 42, 1636-1648. https://doi.org/10.1175/1520-0450(2003)042<1636:ACMFSU>2.0.CO;2
  7. Baik, J.-J., Y.-S. Kang, and J.-J. Kim, 2007: Modeling reactive pollutant dispersion in an urban street canyon. Atmos. Environ., 41, 934-949. https://doi.org/10.1016/j.atmosenv.2006.09.018
  8. Baker, J., H. L. Walker, and X. Cai, 2004: A study of the dispersion and transport of reactive pollutants in and above street canyons-a large eddy simulation. Atmos. Environ., 38, 6883-6892. https://doi.org/10.1016/j.atmosenv.2004.08.051
  9. Brown, M. J., R. E. Lawson Jr., D. S. DeCroix, and R. L. Lee, 2001: Mean flow and turbulence measurements around a 2-D array of buildings in a wind tunnel. 11th Joint Conference on the Applications of Air Pollution Meteorology with the A&WMA, Long Beach, CA, USA, 35-40.
  10. Castro, I. P., and D. D. Apsley, 1997: Flow and dispersion over topography: a comparison between numerical and laboratory data for two-dimensional flows. Atmos. Environ., 31, 839-850. https://doi.org/10.1016/S1352-2310(96)00248-8
  11. Caton, F., R. E. Britter, and S. Dalziel, 2003: Dispersion mechanisms in a street canyon. Atmos. Environ., 37, 693-702. https://doi.org/10.1016/S1352-2310(02)00830-0
  12. Chen, F., J. Dudhia, 2001: Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part 1: Model implementataion and sensitivity. Monthly Weather Review, 129, 569-585. https://doi.org/10.1175/1520-0493(2001)129<0569:CAALSH>2.0.CO;2
  13. Dudhia, J., 1989: Numerical study of convection observed during the Winter Monsoon Experiment using a mesoscale twodimensional model. Journal of the Atmospheric Sciences, 46, 3077-3107. https://doi.org/10.1175/1520-0469(1989)046<3077:NSOCOD>2.0.CO;2
  14. Eliasson, I., 1996: Urban nocturnal temperatures, street geometry and land use. Atmos. Environ., 30, 379-392. https://doi.org/10.1016/1352-2310(95)00033-X
  15. Eliasson, I., B. Offerle, C. S. B. Grimmond, and S. Lindqvist, 2006: Wind fields and turbulence statistics in an urban street canyon. Atmos. Environ., 40, 1-16.
  16. Hunter, L. J., G. T. Johnson, and I. D. Watson, 1992: An investigation of threedimensional characteristics of flow regimes within the urban canopy. Atmos. Environ., 26B, 425-432.
  17. Janjic, Z.I., 1994: The step-mountain eta coordinate model: Further developements of the convection, viscous sublayer and turbulence closure schemes, Monthly Weather Review, 122, 927-945. https://doi.org/10.1175/1520-0493(1994)122<0927:TSMECM>2.0.CO;2
  18. Kim, J.-J., and J.-J. Baik, 1999: A numerical study of thermal effects on flow and pollutant dispersion in urban street canyons. J. Appl. Meteor., 38, 1249- 1261. https://doi.org/10.1175/1520-0450(1999)038<1249:ANSOTE>2.0.CO;2
  19. Kim, J.-J., and J.-J. Baik, 2001: Urban streetcanyon flows with bottom heating. Atmos. Environ., 35, 3395-3404. https://doi.org/10.1016/S1352-2310(01)00135-2
  20. Kim, J.-J., and J.-J. Baik, 2004: A numerical study of the effects of ambient wind direction on flow and dispersion in urban street canyons using the RNG ke turbulence model. Atmos. Environ., 38, 3039-3048. https://doi.org/10.1016/j.atmosenv.2004.02.047
  21. Kim, J., K. R. Kim, B.-C. Choi, D. G. Lee, J.-S. Kim, 2008: Regional distribution of perceived temperature estimated by the human heat budget model (the Klima-Michel model) in South Korea. Adv. Atmos. Sci, (accepted)
  22. Kim, Y.-H., and J.-J. Baik, 2004: Daily maximum urban heat island intensity in large cities of Korea. Theor. Appl. Meteor., 41, 651-659.
  23. Kim, Y.-H., and J.-J. Baik, 2005: Spatial and temporal structure of the urban heat island in Seoul. J. Appl. Meteor., 44, 591-605. https://doi.org/10.1175/JAM2226.1
  24. Kim, Y.-H., S.-B. Ryoo, J.-J. Baik, I.-S. Park, H.- J. Koo, and J.-C. Nam, 2008: Does the restoration of an inner-city stream in Seoul affect local thermal environment. Theor. Appl. Climatol., 92, 239-248. https://doi.org/10.1007/s00704-007-0319-z
  25. Kovar-Panskus, A., Moulinneuf, L., Savory, E., Abdelqari, A., Sini, J.-F., Posant, J.-M., Robins, A., Toy, N., 2002. A wind tunnel investigation of the influence of solar-induced wall-heating on the flow regime within a simulated urban street canyon. Water, Air, and Soil Pollution: Focus 2, 555-571. https://doi.org/10.1023/A:1021345131117
  26. Liu, C. H., and M. C. Barth, 2002: Large-eddy simulation of flow and scalar transport in a modeled street canyon. J. Appl. Meteor., 41, 660-673. https://doi.org/10.1175/1520-0450(2002)041<0660:LESOFA>2.0.CO;2
  27. Liu, H. Z., B. Liang, F. R. Zhu, B. Y. Zhang, and J. G. Sang, 2003: A laboratory model for the flow in urban street canyons induced by bottom heating. Advances in Atmospheric Sciences, 20, 554-564. https://doi.org/10.1007/BF02915498
  28. Mlawer, E.J., S.J. Taubman, P.D. Brown, M.J. Iacono, and S.A. Clough, 1997: Radiative transfer for inhomogeneous atmosphere : RRTM, a validated correlated-K model for the longwave. Journal of Geophysical Research, 102, 16663-16682. https://doi.org/10.1029/97JD00237
  29. Nakamura Y. and T.R. Oke, 1988: Wind, temperature and stability conditions in an east-west oriented urban canyon. Atmospheric Environment, 22, 2691- 2700. https://doi.org/10.1016/0004-6981(88)90437-4
  30. Offerle, B., I. Eliasson, C.S.B. Grimmond, and B. Holmer, 2007: Surface heating in relation to air temperature, wind and turbulence in an urban street canyon. Boundary-Layer Meteorol., 122, 273- 292. https://doi.org/10.1007/s10546-006-9099-8
  31. Richards, K., M. Schatzmann, and B. Leitl, 2006: Wind tunnel experiments modelling the thermal effects within the vicinity of a single block building with leeward wall heating. Journal of Wind Engineering and Industrial Aerodynamics, 94, 621-636. https://doi.org/10.1016/j.jweia.2006.02.003
  32. Rotach, M.W., 1995: Profiles of turbulence statistics in and above an urban street canyon. Atmos. Environ., 29, 1473-1486. https://doi.org/10.1016/1352-2310(95)00084-C
  33. Sini, J.-F., S. Anquetin, and P.G. Mestayer, 1996: Pollutant dispersion and thermal effects in urban street canyons. Atmos. Environ., 30, 2659-2677. https://doi.org/10.1016/1352-2310(95)00321-5
  34. Uehara, K., S. Murakami, S. Oikawa, and S. Wakamatsu, 2000: Wind tunnel experiments on how thermal stratification affects flow in and above urban street canyons. Atmos. Environ., 34, 1553-1562. https://doi.org/10.1016/S1352-2310(99)00410-0
  35. Xie, X., Liu, C.-H., Leung, D.Y.C., Leung, M.K.H., 2006. Characteristics of air exchange in a street canyon with ground heating. Atmos. Environ., 40, 6396-6409. https://doi.org/10.1016/j.atmosenv.2006.05.050
  36. Yakhot, V., S. A. Orszag, S. Thangam, T. B. Gatski, and C. G. Speziale, 1992: Development of turbulence models for shear flows by a double expansion technique. Physics of Fluids, A4, 1510-1520
  37. http://www.naver.com