DOI QR코드

DOI QR Code

Numerical method study of how buildings affect the flow characteristics of an urban canopy

  • Zhang, Ning (Department of Atmospheric Science, Nanjing University) ;
  • Jiang, Weimei (Department of Atmospheric Science, Nanjing University) ;
  • Hu, Fei (Key Laboratory of Atmospheric Physics and Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences)
  • 투고 : 2003.06.25
  • 심사 : 2004.03.29
  • 발행 : 2004.06.25

초록

The study of how buildings affect wind flow is an important part of the research being conducted on urban climate and urban air quality. NJU-UCFM, a standard $k-{\varepsilon}$ turbulence closure model, is presented and is used to simulate how the following affect wind flow characteristics: (1) an isolated building, (2) urban canyons, (3) an irregular shaped building cluster, and (4) a real urban neighborhood. The numerical results are compared with previous researchers' results and with wind tunnel experiment results. It is demonstrated that the geometries and the distribution of urban buildings affect airflow greatly, and some examples of this include a changing of the vortices behind buildings and a "channeling effect". Although the mean air flows are well simulated by the standard $k-{\varepsilon}$ models, it is important to pay attention to certain discrepancies when results from the standard $k-{\varepsilon}$ models are used in design or policy decisions: The standard $k-{\varepsilon}$ model may overestimate the turbulence energy near the frontal side of buildings, may underestimate the range of high turbulence energy in urban areas, and may omit some important information (such as the reverse air flows above the building roofs). In ideal inflow conditions, the effects of the heights of buildings may be underestimated, when compared with field observations.

키워드

참고문헌

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피인용 문헌

  1. Impact Assessment of Urban Meteorology and the Atmospheric Environment Using Urban Sub-Domain Planning vol.118, pp.1, 2006, https://doi.org/10.1007/s10546-005-5292-4
  2. Systematic influence of different building spacing, height and layout on mean wind and turbulent characteristics within and over urban building arrays vol.11, pp.4, 2008, https://doi.org/10.12989/was.2008.11.4.275
  3. Applied climatology: urban climate vol.30, pp.2, 2006, https://doi.org/10.1191/0309133306pp484pr
  4. A large eddy simulation on the effect of buildings on urban flows vol.9, pp.1, 2006, https://doi.org/10.12989/was.2006.9.1.023
  5. High-Resolution Simulations of the Urban Thermal Climate in Suzhou City, China vol.10, pp.3, 2004, https://doi.org/10.3390/atmos10030118