Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
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Effect of Artificial Changes in Geographical Features on Local Wind

인공적 지형변화가 국지풍에 미치는 영향

  • Kim, Do-Yong (Department of Environmental Engineering, Mokpo National University) ;
  • Kim, Jae-Jin (Department of Environmental Atmospheric Sciences, Pukyong National University)
  • 김도용 (목포대학교 환경공학과(기후변화연구소)) ;
  • 김재진 (부경대학교 환경대기과학과)
  • Received : 2016.04.08
  • Accepted : 2016.04.27
  • Published : 2016.04.30
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Abstract

The effect of artificial changes in geographical features on local wind was analyzed at the construction site of bridge and fill-up bank in the southern part of Haui-do. Geographic Information System (GIS) data and Computational Fluid Dynamics (CFD) model were used in this study. Three-dimensional numerical topography based on the GIS data for the target area was constructed for the surface boundary input data of the CFD model. The wind observations at an Automatic Weather Station (AWS) located in Haui-do were used to set-up the model inflows. The seasonal simulations were conducted. The differences in surface wind speed between after and before artificial changes in geographical features were analyzed. The surface wind speed decreases 5 to 20% at the south-western part and below 2% of the spatial average for salt field. There was also marked the effect of artificial changes in geographical features on local wind in the westerly wind case for the target area.

본 연구에서는 지리정보시스템(GIS) 자료와 전산유체역학(CFD) 모델을 이용하여, 해상교량 건설에 따른 하의도 남쪽 지역의 인공적 지형변화가 국지풍에 미치는 영향을 조사하였다. 수치모델의 지표 경계 입력 자료로써 대상영역의 3차원 수치지형은 GIS 자료를 기반으로 구축하였으며, 유입류는 하의도 자동기상관측소(AWS)에서 관측된 바람자료로부터 설정하였다. 수치모의는 인공적 지형변화 전과 후에 대하여 계절별로 수행하였으며, 인근 염전지역의 바람 차단 효과를 중점적으로 분석하였다. 지표풍속은 접속도로 건설 구간에 인접한 남서쪽 지역에서 최대 유입류 대비 약 5~20% 정도 감소하는 것으로 나타났으며, 염전지역 전체에 대한 지표풍속은 평균 유입류 대비 약 2% 미만 감소하는 것으로 평가되었다. 또한, 서풍계열의 바람은 상대적으로 인공적 지형변화의 영향이 크게 나타났다.

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References

  1. Jie, Y., Z. Qingming, X. Yinghui, W. Tao, C. Erzhuo, M. Fanshuo, and Q. Yi, 2014. Correlation between Urban Morphology and Wind Environment in Digital City using GIS and CFD Simulations, International Journal of Online Engineering, 10(3): 42-48. https://doi.org/10.3991/ijoe.v10i3.3631
  2. Kim, D.Y., J.Y. Kim, and J.J. Kim, 2013. Mesoscale Simulations of Multi-Decadal Variability in the Wind Resource over Korea, Asia-Pacific Journal of Atmospheric Sciences, 49(2): 183-192. https://doi.org/10.1007/s13143-013-0019-9
  3. Kim, J.J., 2007. The effects of obstacle aspect ratio on surrounding flows, Atmosphere, 17(4): 381-391 (in Korean with English abstract).
  4. 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 k-${\varepsilon}$ turbulence model, Atmospheric Environment, 38: 3039-3048. https://doi.org/10.1016/j.atmosenv.2004.02.047
  5. Kim, J.J. and J.J. Baik, 2010. Effects of street-bottom and building-roof heating on flow in threedimensional street canyons, Advances in Atmospheric Sciences, 27: 513-527. https://doi.org/10.1007/s00376-009-9095-2
  6. Kim, J.J., E. Pardyjak, D.Y. Kim, K.S. Han, and B.H. Kwon, 2014. Effects of Building-Roof Cooling on Flow and Air Temperature in Urban Street Canyons, Asia-Pacific Journal of Atmospheric Sciences, 50(3): 365-375. https://doi.org/10.1007/s13143-014-0023-8
  7. Kim, J.Y., D.Y. Kim, J.H. Oh, S.H. Kim, H.G. Kim, Y.H. Kang, J.J. Kim, and C.H. Cho, 2015. Sensitivity Evaluation of Surface Wind Simulations by Surface Drag Parameterization and Spatial Resolution using WRF Model, Journal of the Wind Engineering Institute of Korea, 19(3): 77-83 (in Korean with English abstract).
  8. Kim, Y.H., D.Y. Choi, and D.E. Chang, 2011. Characteristics of Urban Meteorology in Seoul Metropolitan Area of Korea, Atmosphere, 21(3): 257-271 (in Korean with English abstract). https://doi.org/10.14191/ATMOS.2011.21.3.257
  9. Kwon, A.R. and J.J. Kim, 2015. Analysis on the Observation Environment of Surface Wind Using GIS data, Korean Journal of Remote Sensing, 31(2): 65-75 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2015.31.2.2
  10. Lee, J.H., J.W. Choi, J.J. Kim, and Y.S. Suh, 2009. The effect of an urban renewal plan on detailed air flow in an urban area, Journal of Korean Association of Geographic Information Studies, 12(2): 69-81 (in Korean with English abstract).
  11. Lee, Y.S. and J.J. Kim, 2011. Effects of an Apartment Complex on Flow and Dispersion in an Urban Area, Atmosphere, 21(1): 95-108 (in Korean with English abstract). https://doi.org/10.14191/ATMOS.2011.21.1.095
  12. Neophytou, M., A. Gowardhan, and M. Brown, 2011. An inter-comparison of three urban wind models using Oklahoma City Joint Urban 2003 wind field measurements, Journal of Wind Engineering and Industrial Aerodynamics, 99(4): 357-368. https://doi.org/10.1016/j.jweia.2011.01.010
  13. Park, S.J., D.Y. Kim, and J.J. Kim, 2013. Effects of Atmospheric Stability and Surface Temperature on Microscale Local Airflow in a Hydrological Suburban Area, Atmosphere, 23(1): 13-21 (in Korean with English abstract). https://doi.org/10.14191/Atmos.2013.23.1.013
  14. Patankar, S.V., 1980. Numerical Heat Transfer and Fluid Flow, McGraw-Hill, New York, pp. 197.
  15. Rakowska, A., K.C. Wong, T. Townsend, K.L. Chan, D. Westerdahl, S. Ng, G. Mocnik, L. Drinovec, and Z. Ning, 2014. Impact of traffic volume and composition on the air quality and pedestrian exposure in urban street canyon, Atmospheric Environment, 98: 260-270. https://doi.org/10.1016/j.atmosenv.2014.08.073
  16. Versteeg, H.K. and W. Malalasekera, 1995. An Introduction to Computational Fluid Dynamics: The Finite Volume Method, Longman, Malaysia, pp. 257.
  17. Yakhot, V., S.A. Orszag, S. Thangam, T.B. Gatski, and C.G. Speziable, 1992. Development of turbulence models for shear flow by a double expansion technique, Physics of Fluids, 4(7): 1510-1520. https://doi.org/10.1063/1.858424
  18. Yang, H.J. and J.J. Kim, 2015. Evaluation of Observation Environment for Weather Stations Located in Metropolitan Areas, Korean Journal of Remote Sensing, 31(2): 193-203 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2015.31.2.13
  19. Zheng, Y., Y. Miao, S. Liu, B. Chen, H. Zheng, and S. Wang, 2015. Simulating Flow and Dispersion by Using WRF-CFD Coupled Model in a Built-Up Area of Shenyang, China, Advances in Meteorology, 2015: 528618.